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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychol.</journal-id>
<journal-title>Frontiers in Psychology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychol.</abbrev-journal-title>
<issn pub-type="epub">1664-1078</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyg.2022.860177</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Celebrity Endorsement, Brand Equity, and Green Cosmetics Purchase Intention Among Chinese Youth</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Lili</surname> <given-names>Zhai</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Al Mamun</surname> <given-names>Abdullah</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/772502/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Hayat</surname> <given-names>Naeem</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Salamah</surname> <given-names>Anas A.</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Yang</surname> <given-names>Qing</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1674429/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Ali</surname> <given-names>Mohd Helmi</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>UCSI Graduate Business School, UCSI University</institution>, <addr-line>Kuala Lumpur</addr-line>, <country>Malaysia</country></aff>
<aff id="aff2"><sup>2</sup><institution>UKM &#x2013; Graduate School of Business, Universiti Kebangsaan Malaysia, UKM Bangi</institution>, <addr-line>Selangor</addr-line>, <country>Malaysia</country></aff>
<aff id="aff3"><sup>3</sup><institution>Faculty of Entrepreneurship and Business, Universiti Malaysia Kelantan</institution>, <addr-line>Kota Baharu</addr-line>, <country>Malaysia</country></aff>
<aff id="aff4"><sup>4</sup><institution>College of Business Administration, Prince Sattam Bin Abdulaziz University</institution>, <addr-line>Al-Kharj</addr-line>, <country>Saudi Arabia</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Ana Jim&#x00E9;nez-Zarco, Open University of Catalonia, Spain</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Oscar Carbonell Dolz, Open University of Catalonia, Spain; Eduardo Moraes Sarmento, Lusophone University of Humanities and Technologies, Portugal</p></fn>
<corresp id="c001">&#x002A;Correspondence: Abdullah Al Mamun, <email>almamun@ukm.edu.my</email>, <email>mamun7793@gmail.com</email></corresp>
<fn fn-type="other" id="fn002"><p><sup>&#x2020;</sup>These authors share first authorship</p></fn>
<fn fn-type="other" id="fn004"><p>This article was submitted to Organizational Psychology, a section of the journal Frontiers in Psychology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>07</day>
<month>03</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>860177</elocation-id>
<history>
<date date-type="received">
<day>22</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>02</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2022 Lili, Al Mamun, Hayat, Salamah, Yang and Ali.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Lili, Al Mamun, Hayat, Salamah, Yang and Ali</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>The study examined the effect of celebrity attractiveness, celebrity trustworthiness, and celebrity cause fit on the attitude toward green cosmetics. This was followed by the effect of brand awareness, brand associations, brand loyalty, perceived quality, brand credibility on brand equity, including the impact of attitude toward green cosmetics and brand equity on the willingness to purchase green cosmetics among of young Chinese consumers. This study adopted a cross-sectional design and collected quantitative data from 301 respondents using a structured questionnaire, which was distributed online using various social media platforms. It was found that celebrity attractiveness, celebrity trustworthiness, and celebrity cause-fit had a significant impact on the attitudes toward green cosmetic, while brand loyalty, perceived quality, and brand credibility substantially affected brand equity. Moreover, the attitudes toward green cosmetics and brand equity had a strong impact on the willingness to purchase green cosmetics. To increase the sales for green cosmetics, the advertisements for it should have appeal, trustworthiness, and cause-fit celebrities to improve consumers&#x2019; attitudes and willingness to purchase green cosmetics. Finding of this study provide a guideline for green cosmetic manufacturers, to direct their resources to enhance brand loyalty, credibility, and perceived quality of the product they produce by highlighting the difference between conventional and green cosmetics.</p>
</abstract>
<kwd-group>
<kwd>celebrity endorsement</kwd>
<kwd>brand equity</kwd>
<kwd>attitude</kwd>
<kwd>purchase intention</kwd>
<kwd>green cosmetics</kwd>
<kwd>Chinese youth</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="8"/>
<equation-count count="0"/>
<ref-count count="51"/>
<page-count count="15"/>
<word-count count="11976"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>Significant changes in people&#x2019;s lives have taken place with the progress of social science and technology. However, despite the convenience and comfort of the social changes from science and technology, severe environmental problems could also occur (<xref ref-type="bibr" rid="B27">Nam et al., 2017</xref>). The deterioration of the environment is gradually threatening the ecological balance of nature. Therefore, environmental protection has become the world trend, while green consumption advocates production and consumption activities based on the coordinated development of nature (<xref ref-type="bibr" rid="B1">Akturan, 2018</xref>). Studies demonstrated that most consumers were willing to pay higher prices for green products and were more inclined to choose products with a green logo when selecting similar products (<xref ref-type="bibr" rid="B6">Beatson et al., 2020</xref>).</p>
<p>Two aspects defined green products. Specifically, the products could be represented through the production process to reduce non-renewable resources and environmental pollution (<xref ref-type="bibr" rid="B27">Nam et al., 2017</xref>). Another aspect is indicated through product performance (<xref ref-type="bibr" rid="B6">Beatson et al., 2020</xref>). To exemplify accurately, the product ingredients do not contain chemicals polluting the environment, while the green and environment-friendly ingredients are adopted. Green cosmetics mainly refer to cosmetics made with purely natural raw materials as the main ingredients (<xref ref-type="bibr" rid="B49">Umberson, 2008</xref>). However, no other flavors and preservatives are added in the production process to reduce the harm of chemical synthesis to the environment and the human body (<xref ref-type="bibr" rid="B41">Sharma and Foropon, 2019</xref>). With the continuous improvement in consumers&#x2019; awareness of green and environmental protection, the demand for cosmetics in the Chinese market has also changed. Besides, green consumption has become a mainstream trend (<xref ref-type="bibr" rid="B6">Beatson et al., 2020</xref>). With the gradual improvement in living standards, people show more willingness to pay for healthy and natural products (<xref ref-type="bibr" rid="B27">Nam et al., 2017</xref>). Overall, these objective conditions directly promote the development of green cosmetics. Consumers tend to pay more attention to cosmetics with higher health and safety attributes (<xref ref-type="bibr" rid="B49">Umberson, 2008</xref>). To illustrate, environment-oriented consumers select products that contain natural ingredients and no preservatives (<xref ref-type="bibr" rid="B41">Sharma and Foropon, 2019</xref>).</p>
<p>Since 2009, China&#x2019;s cosmetics industry has been emphasizing environmental protection. Various enterprises are actively performing research and development, which develops a sense of social responsibility and advocates the adoption of natural ingredients and using environmental protection materials to reduce environmental pollution. A deeper understanding of Chinese consumers&#x2019; attitudes helps promote green cosmetic consumption in China. The spread of globalization promotes the development of trade and the diversity of commodities, with the continuous diversification of categories and demands of consumers (<xref ref-type="bibr" rid="B44">Sikder et al., 2019</xref>). As business opportunities are created in various industries, manufacturers are faced with tremendous pressure to produce products according to the consumers&#x2019; needs (<xref ref-type="bibr" rid="B1">Akturan, 2018</xref>). With the development of the global economy, resources are strained, while environmental pollution increases and leads to other issues in people&#x2019;s daily lives (<xref ref-type="bibr" rid="B44">Sikder et al., 2019</xref>). This situation leads to changes in the consumption structure as the level of consumption has continuously improved. People have begun to pay more attention to health, apply the scientific way of consumption, and gradually strengthen green purchase awareness (<xref ref-type="bibr" rid="B6">Beatson et al., 2020</xref>).</p>
<p>The continuous development of the global economy leads to a tremendous increase in income levels. Besides the essential daily expenses, people begin to pay more attention to other products to improve life quality. For example, modern young women pay more attention to skincare and dressing, promoting the cosmetics industry&#x2019;s continuous development (<xref ref-type="bibr" rid="B2">Al-Mamun et al., 2020</xref>). Given that the cosmetics industry is fast-paced, guaranteeing customer loyalty in today&#x2019;s era is not a simple challenge (<xref ref-type="bibr" rid="B44">Sikder et al., 2019</xref>). Consumers are more attentive toward product quality and willing to pay for the quality (<xref ref-type="bibr" rid="B6">Beatson et al., 2020</xref>). With the changing consumers&#x2019; demands, young consumers prefer to consume green products as a fashion (<xref ref-type="bibr" rid="B2">Al-Mamun et al., 2020</xref>). The increased attention toward health and healthcare directly promotes the demand for natural food cosmetics (<xref ref-type="bibr" rid="B44">Sikder et al., 2019</xref>).</p>
<p>The effect of celebrity endorsement and brand equity is crucial for understanding market demand (<xref ref-type="bibr" rid="B15">Ilicic and Baxter, 2014</xref>). The celebrity endorsement impacts the consumers&#x2019; attitude (<xref ref-type="bibr" rid="B32">Patel and Basil, 2017</xref>). However, celebrity endorsement influences the attitude with its three dimensions: attractiveness, trustworthiness, and cause-fitness (<xref ref-type="bibr" rid="B46">Tantawi and Sadek, 2019</xref>). For the current study, the separation of celebrity endorsement in three dimensions helps to fully expose the celebrity brand endorsement nurturing the brand attitude. Brand personality has become a significant characteristic of products, in which charging the consumer memory and developing purchase intention are the vital aspects of today&#x2019;s marketing management (<xref ref-type="bibr" rid="B28">Ozdemir et al., 2020</xref>). Celebrity endorsement and brand value are significant for developing brand equity among consumers. The current work aims to explore celebrity endorsement from its attractiveness, trustworthiness, and cause fit affecting the brand awareness, brand association, brand loyalty, perceived quality, and brand credibility, which lead to brand equity and willingness to purchase green cosmetics among young Chinese consumers.</p>
</sec>
<sec id="S2">
<title>Literature Review</title>
<sec id="S2.SS1">
<title>Celebrity Endorsement and Attitude Toward Green Cosmetics</title>
<p>Celebrity defines a particular type of famous person recognized by consumers (<xref ref-type="bibr" rid="B35">Rifon et al., 2015</xref>). These celebrity figures have a unique personality or lifestyle, separating them from ordinary people (<xref ref-type="bibr" rid="B37">Roll, 2015</xref>). Furthermore, they often have high social popularity and are classified according to their achievements in various fields (<xref ref-type="bibr" rid="B32">Patel and Basil, 2017</xref>). Celebrity endorsement brings particular influence to the product, while the brand information transmitted by celebrities is often more convincing compared to the information conveyed by non-celebrities (<xref ref-type="bibr" rid="B45">Stone et al., 2014</xref>). Consumers are more likely to buy products endorsed by their favorite celebrities. This research separated celebrity endorsement into three parts: celebrity attractiveness, celebrity trustworthiness, and celebrity cause fit.</p>
<sec id="S2.SS1.SSS1">
<title>Celebrity Attractiveness</title>
<p>The endorsement of celebrities or influential may affect consumers&#x2019; attitudes toward products or services (<xref ref-type="bibr" rid="B35">Rifon et al., 2015</xref>). Although some celebrities are not famous stars or athletes, their endorsements remain attractive as long as consumers are willing to recognize their talents or appearance (<xref ref-type="bibr" rid="B7">Belch and Belch, 2018</xref>). Consumers may be deeply impressed by a particular product due to the celebrities&#x2019; appeal or change their previous views or attitudes toward a specific product when this appeal varies (<xref ref-type="bibr" rid="B14">Hoegele et al., 2015</xref>). Physically attractive celebrities are regarded as having more marketing advantages than the opposite. Although celebrities do not have the same level of fame as industry stars, audiences appreciate their appearance, words, or behavior as long as they possess a particular attractiveness (<xref ref-type="bibr" rid="B4">Arora et al., 2019</xref>). The higher attractiveness of the celebrity contributes to higher sales of the products being endorsed, leading to increased profits of enterprises (<xref ref-type="bibr" rid="B37">Roll, 2015</xref>). Celebrity attraction is an essential factor influencing consumers&#x2019; attitudes toward green cosmetics (<xref ref-type="bibr" rid="B46">Tantawi and Sadek, 2019</xref>).</p>
<p>Celebrities are attractive in various ways, such as being inspirational or elegant, intelligent, or beautiful (<xref ref-type="bibr" rid="B14">Hoegele et al., 2015</xref>). The higher the attractiveness of the celebrity endorsement, the image of the product or service would receive higher recognition. When an attractive celebrity promotes a company, consumers will often be influenced and present approval. As a result, consumers positively respond to relevant products (<xref ref-type="bibr" rid="B4">Arora et al., 2019</xref>). Based on the conclusion from the previous literature, this study hypothesized that the attractiveness of celebrity endorsement would have a positive impact on consumers&#x2019; attitudes toward products.</p>
<list list-type="simple">
<list-item><p>Hypothesis (H1): <italic>Celebrity attractiveness has a positive impact on attitude toward green cosmetics</italic></p>
</list-item>
</list>
</sec>
<sec id="S2.SS1.SSS2">
<title>Celebrity Trustworthiness</title>
<p>The credibility of celebrity endorsements indicates that the celebrity is honest, has professional ethics, and is trusted by consumers (<xref ref-type="bibr" rid="B14">Hoegele et al., 2015</xref>). The most trustworthy stars are unwilling to endorse unreliable products despite the temptation of financial interests (<xref ref-type="bibr" rid="B7">Belch and Belch, 2018</xref>). This situation possibly leads to a negative impact on their reputation and word of mouth. When consumers trust a product spokesperson, the celebrity would be influenced to change their product acceptance (<xref ref-type="bibr" rid="B14">Hoegele et al., 2015</xref>).</p>
<p>The higher credibility of the celebrity leads to a more persuasive advertisement. This feature will also increase consumers&#x2019; trust in products and gain their attention. Notably, celebrity endorsement is proven to be an effective marketing method (<xref ref-type="bibr" rid="B15">Ilicic and Baxter, 2014</xref>). Regardless of the type of enterprises and organizations, consumers make the utmost effort to find highly reliable celebrities as spokespersons (<xref ref-type="bibr" rid="B51">Yoo et al., 2018</xref>). The reliability of celebrities would affect consumers&#x2019; acceptability to consume a product (<xref ref-type="bibr" rid="B50">Wymer and Drollinger, 2014</xref>). For example, charities often need to find reliable celebrity endorsements due to consumers&#x2019; expectations that such advertisements should be non-deceptive and reliable. As a result, charities tend to increase money directly proportional to celebrity endorsements&#x2019; reliability (<xref ref-type="bibr" rid="B47">Thamaraiselvan et al., 2017</xref>).</p>
<p><xref ref-type="bibr" rid="B50">Wymer and Drollinger (2014)</xref> demonstrated that celebrity attraction is an essential factor influencing consumers&#x2019; attitudes toward audience donation intentions. Meanwhile, <xref ref-type="bibr" rid="B46">Tantawi and Sadek (2019)</xref> confirmed a positive relationship between celebrity trustworthiness and purchasing attitude among consumers for cause-related marketing. Considering the above-documented literature, it was assumed that celebrities&#x2019; trust degree was directly proportional to consumers&#x2019; attitudes toward products.</p>
<list list-type="simple">
<list-item><p>Hypothesis (H2): <italic>Celebrity trustworthiness positively impacts attitudes toward Green Cosmetics.</italic></p>
</list-item>
</list>
</sec>
<sec id="S2.SS1.SSS3">
<title>Celebrity Cause-Fit</title>
<p>Celebrity endorsement works well when the celebrity fits with the message celebrity endorsing; the match between the product characteristics, celebrity, and brand fitness instigates the consumer buying behavior (<xref ref-type="bibr" rid="B51">Yoo et al., 2018</xref>). A good fit between celebrities and product nature increases the advertisements&#x2019; persuasive power and publicity effectiveness (<xref ref-type="bibr" rid="B22">Kim and Na, 2007</xref>). Higher compatibility between the celebrity and brand leads to a more persuasive advertisement (<xref ref-type="bibr" rid="B22">Kim and Na, 2007</xref>). The brand image should match the spokesperson&#x2019;s image, i.e., celebrity (<xref ref-type="bibr" rid="B23">Knoll and Matthes, 2016</xref>). To illustrate, sports brand advertisement must invite famous athletes as a celebrity. In contrast, the educational institutions should invite celebrities with an excellent reputation to promote the education services. Similarly, shampoo advertisements should invite the suitable fashion icon having the appropriate images as to represent a brand as spokespersons, and product advertisers always look for a match between the product and celebrity, celebrity fitness significantly influences the attitude toward advertised products (<xref ref-type="bibr" rid="B15">Ilicic and Baxter, 2014</xref>).</p>
<p><xref ref-type="bibr" rid="B47">Thamaraiselvan et al. (2017)</xref> confirmed a positive relationship between celebrity cause fitness and purchasing attitude. Therefore, a precise fit is a must between celebrity endorsement and brand products to promote consumers&#x2019; positive influence on consumers&#x2019; minds. <xref ref-type="bibr" rid="B15">Ilicic and Baxter (2014)</xref> postulated that celebrity brand fit is an essential factor influencing consumers&#x2019; attitudes toward green cosmetics. <xref ref-type="bibr" rid="B14">Hoegele et al. (2015)</xref> postulated that a substantial relationship between celebrities and products would lead to consumers&#x2019; positive comments. The celebrity cause-fitness with the product endorsement influences the prospective consumer&#x2019;s attitude to buy fashion consumables (<xref ref-type="bibr" rid="B15">Ilicic and Baxter, 2014</xref>). Therefore, the current work expected the following hypothesis:</p>
<list list-type="simple">
<list-item><p>Hypothesis (H3): <italic>Celebrity cause-fit has a positive impact on attitude toward green cosmetics</italic></p>
</list-item>
</list>
</sec>
</sec>
<sec id="S2.SS2">
<title>Brand Equity</title>
<p>Brand equity consists of brand loyalty, perceived quality, brand awareness, brand relevance degree, and other dimensions in many studies. These factors present the enterprise brand equity in the market value.</p>
<sec id="S2.SS2.SSS1">
<title>Brand Awareness</title>
<p>Brand awareness refers to the degree of recognition of a brand or product in consumers&#x2019; minds and is an integral part of brand equity (<xref ref-type="bibr" rid="B42">Sharma, 2017</xref>). Different brands have different brand images and characteristics. This unique brand positioning in consumer minds is known as brand awareness, which affects consumers&#x2019; brand awareness and equity. Celebrity attraction is an essential factor influencing consumers&#x2019; attitudes toward green cosmetics (<xref ref-type="bibr" rid="B41">Sharma and Foropon, 2019</xref>). <xref ref-type="bibr" rid="B38">Rossiter&#x2019;s (2014)</xref> study confirmed the positive relationship between celebrity attraction and purchasing attitude.</p>
<p>Brand awareness mainly comprises two parts: consumers&#x2019; cognition of the brand and the consumers&#x2019; memory of the brand. Higher brand awareness facilitates consumers in gaining an impression of the brand, choosing certain types of goods, and prioritizing their familiar brands (<xref ref-type="bibr" rid="B42">Sharma, 2017</xref>). Brand awareness could help consumers remember a particular brand. Therefore, consumers could exclude other brands from the same category and form a brand effect (<xref ref-type="bibr" rid="B30">Pappu and Quester, 2015</xref>). Given that consumers tend to buy their familiar brands, brand awareness through ascension would directly affect brand value and brand assets (<xref ref-type="bibr" rid="B11">Gui, 2015</xref>). We like to propose the following:</p>
<list list-type="simple">
<list-item><p>Hypothesis (H4): <italic>Brand awareness has a positive effect on brand equity</italic></p>
</list-item>
</list>
</sec>
<sec id="S2.SS2.SSS2">
<title>Perceived Quality</title>
<p>Perceived quality is the consumer&#x2019;s perception of the product or service based on its subjective judgment instead of its inherent characteristics or service. The perceived quality of a brand could affect consumers&#x2019; acceptance of their purchased goods (<xref ref-type="bibr" rid="B40">Sarkar et al., 2015</xref>). The core of perceived value is the trade-off between perceived benefits obtained by customers and paid costs, while the perceived value is customers&#x2019; evaluation of product attributes and effects (<xref ref-type="bibr" rid="B30">Pappu and Quester, 2015</xref>). When the perceived quality is higher than the consumers&#x2019; original expectations, consumers will purchase the product (<xref ref-type="bibr" rid="B35">Rifon et al., 2015</xref>; <xref ref-type="bibr" rid="B36">Rizvi et al., 2018</xref>). Ramaseshan and Tsao highlighted in their research that a brand perceived quality plays a critical role in enterprises and brand growth and development (<xref ref-type="bibr" rid="B48">Till et al., 2011</xref>). Products with fashionable styles or characteristics will provide consumers with a higher quality perception experience, attracting more consumers.</p>
<p>The brand&#x2019;s perceived value affects consumers&#x2019; choice or exclusion of the brand, which is also an essential factor of brand equity (<xref ref-type="bibr" rid="B40">Sarkar et al., 2015</xref>). With higher perceived quality, a better premium ability could benefit the brand. Notably, brand perceived quality is an essential factor influencing brand equity (<xref ref-type="bibr" rid="B31">Park et al., 2019</xref>). <xref ref-type="bibr" rid="B41">Sharma and Foropon (2019)</xref> confirmed the positive relationship between perceived quality and brand equity. In this case, the brand scholarship illustrated that perceived quality is an integral part of brand equity thus consumers will choose specific brands for products with high perceived quality (<xref ref-type="bibr" rid="B31">Park et al., 2019</xref>). Subsequently, consumers&#x2019; perceived quality would improve, followed by increased brand equity (<xref ref-type="bibr" rid="B21">Kieu, 2019</xref>). The following hypothesis was presented:</p>
<list list-type="simple">
<list-item><p>Hypothesis (H5): <italic>Perceived quality has a positive effect on brand equity</italic></p>
</list-item>
</list>
</sec>
<sec id="S2.SS2.SSS3">
<title>Brand Loyalty</title>
<p>Brand loyalty is a type of repeated purchase behavior, which represents that consumers would constantly purchase a specific brand or a few fixed brands (<xref ref-type="bibr" rid="B3">Andonova et al., 2014</xref>). It was proven from empirical literature that enterprises with more focus on building brand loyalty would gain higher profit returns and a larger market share (<xref ref-type="bibr" rid="B7">Belch and Belch, 2018</xref>). Brand satisfaction depends on consumers&#x2019; purchase experience, while good products or services would form customer retention (<xref ref-type="bibr" rid="B16">Kajalo and Jyr&#x00E4;m&#x00E4;, 2016</xref>). Enterprises&#x2019; commitment to improving brand loyalty contributes to additional revenue and profits. At the same time, other unnecessary expenses are reduced to emphasize maintaining existing customers and developing future customers (<xref ref-type="bibr" rid="B28">Ozdemir et al., 2020</xref>). Brand loyalty indicates consumers&#x2019; willingness to buy products of specific brands without being influenced by competitors of other brands in the future (<xref ref-type="bibr" rid="B30">Pappu and Quester, 2015</xref>). Product satisfaction contributes to brand loyalty when it reaches a particular condition, given that higher brand loyalty increases the probability of product buyback (<xref ref-type="bibr" rid="B20">Keller, 2018</xref>). The repurchase rate brings profits to the enterprise, increases its value, and forms brand assets (<xref ref-type="bibr" rid="B23">Knoll and Matthes, 2016</xref>). Brand loyalty is an essential factor influencing brand equity (<xref ref-type="bibr" rid="B1">Akturan, 2018</xref>), while brand loyalty contributes to repurchase intention (<xref ref-type="bibr" rid="B16">Kajalo and Jyr&#x00E4;m&#x00E4;, 2016</xref>). Therefore, consumers&#x2019; willingness to repurchase transforms into the sales volume of the enterprises that improve brand assets (<xref ref-type="bibr" rid="B30">Pappu and Quester, 2015</xref>). The increase of brand equity depends on consumers&#x2019; loyalty to the brand. Overall, this study assumed that brand loyalty positively impacted brand equity.</p>
<list list-type="simple">
<list-item><p>Hypothesis (H6): <italic>Brand loyalty has a positive effect on brand equity</italic></p>
</list-item>
</list>
</sec>
<sec id="S2.SS2.SSS4">
<title>Brand Associations</title>
<p>Brand association refers to the brand information in the consumers&#x2019; memory (<xref ref-type="bibr" rid="B18">Keller, 1993</xref>). Different brands have different degrees of association among consumers. It was found that brand personality would create different sensory experiences for consumers, leading to various brand associations (<xref ref-type="bibr" rid="B25">Maheshwari et al., 2016</xref>). Therefore, brand memory points toward the essential aspect of brand equity (<xref ref-type="bibr" rid="B38">Rossiter, 2014</xref>). The brand association could be related to the enterprise product or its product (<xref ref-type="bibr" rid="B18">Keller, 1993</xref>). For example, people often combine coke, Starbucks, and other products with young consumer groups (<xref ref-type="bibr" rid="B19">Keller, 2016</xref>). If the brand association is in line with the consumers&#x2019; personality upon purchasing a particular brand of goods, the consumer will be inclined to buy a specific brand (<xref ref-type="bibr" rid="B18">Keller, 1993</xref>). To illustrate accordingly, boys interested in basketball would buy Jordan&#x2019;s shoes as this choice indicates their preferences and personality (<xref ref-type="bibr" rid="B51">Yoo et al., 2018</xref>). <xref ref-type="bibr" rid="B48">Till et al. (2011)</xref> suggested that when brand association resonates with consumers&#x2019; emotions, the brand could form its status and image in the market, positively impacting brand equity.</p>
<p>The brand association creates a positive influence on consumers&#x2019; hearts and creates brand value by forming personalized images (<xref ref-type="bibr" rid="B51">Yoo et al., 2018</xref>). Consumers express their personality and characteristics by purchasing certain goods, which indicates that the brand association and personality present personal meaning to the consumers (<xref ref-type="bibr" rid="B46">Tantawi and Sadek, 2019</xref>). The marketing purpose of green products is to form a functional or emotional brand association, which is reflected in the brand association to convey the attributes of green products, while the emotional aspect is to develop an emotional resonance with consumers through the awareness of environmental protection (<xref ref-type="bibr" rid="B3">Andonova et al., 2014</xref>). Based on the above literature, the brand association is the foundation of brand equity and will impact consumers&#x2019; consumption behavior. Therefore, brand association is the source of brand equity.</p>
<list list-type="simple">
<list-item><p>Hypothesis (H7): <italic>Brand association has a positive effect on brand equity</italic></p>
</list-item>
</list>
</sec>
<sec id="S2.SS2.SSS5">
<title>Brand Credibility</title>
<p>Brand credibility refers to the trustworthiness of product information in a brand (<xref ref-type="bibr" rid="B1">Akturan, 2018</xref>). It requires consumers to perceive that the brand has a particular professional ability and reliability while consumers are willing to consume it (<xref ref-type="bibr" rid="B36">Rizvi et al., 2018</xref>). The establishment and maintenance of brand reputation are achieved through brand speculation and long-term marketing efforts (<xref ref-type="bibr" rid="B19">Keller, 2016</xref>). Furthermore, the brand investment represents the amount of money spent by the company on its brand. The higher significance of the investment further indicates that the company is willing to abide by its brand promise (<xref ref-type="bibr" rid="B18">Keller, 1993</xref>). Brand credibility is a long-term enterprise strategy, while a trustworthy brand establishes a long-term stable relationship with consumers (<xref ref-type="bibr" rid="B5">Baek et al., 2010</xref>). Brand credibility is an essential factor influencing brand equity (<xref ref-type="bibr" rid="B28">Ozdemir et al., 2020</xref>). The relationship between brand credibility and brand equity is significantly positive (<xref ref-type="bibr" rid="B29">Papasolomou and Vrontis, 2006</xref>). In the field of marketing, the effort represents the performance of enterprises. In green product marketing, establishing an eco-friendly corporate image largely depends on consumers&#x2019; trust in the brand. Therefore, brand credibility could positively impact green brand image (<xref ref-type="bibr" rid="B24">Leischnig et al., 2012</xref>). This study assumed that brand credibility would positively impact on brand equity.</p>
<list list-type="simple">
<list-item><p>Hypothesis (H8): <italic>Brand credibility has a positive effect on brand equity</italic></p>
</list-item>
</list>
</sec>
</sec>
<sec id="S2.SS3">
<title>Attitude Toward Green Cosmetics</title>
<p>Under the influence of celebrity endorsement, consumers would form their attitudes toward certain products based on their preference and recognition of celebrities (<xref ref-type="bibr" rid="B50">Wymer and Drollinger, 2014</xref>). <xref ref-type="bibr" rid="B23">Knoll and Matthes (2016)</xref> postulated that the influence of celebrities on consumers&#x2019; attitude toward products refers to whether the consumers could accept celebrities&#x2019; endorsements and their level of interest toward endorsement advertisements. When consumers see their favorite stars endorsing a particular product, they would be more willing to buy the product (<xref ref-type="bibr" rid="B26">Myrick and Evans, 2014</xref>). Consumers&#x2019; behavior influenced by their purchase intention, which is affected by consumers&#x2019; attitudes toward the product (<xref ref-type="bibr" rid="B28">Ozdemir et al., 2020</xref>). According to <xref ref-type="bibr" rid="B49">Umberson&#x2019;s (2008)</xref> study, the positive attitude toward green products often determines consumers&#x2019; purchase intention. Similarly, environmentally conscious attitudes directly or indirectly impact the purchase of green products (<xref ref-type="bibr" rid="B27">Nam et al., 2017</xref>).</p>
<p>Studies found a positive correlation between consumers&#x2019; attitudes toward celebrity endorsement and their products (<xref ref-type="bibr" rid="B46">Tantawi and Sadek, 2019</xref>). Consumers&#x2019; purchase intention refers to the consumption tendency of purchasing a specific product (<xref ref-type="bibr" rid="B32">Patel and Basil, 2017</xref>). According to the research, consumers&#x2019; positive attitudes toward celebrity endorsements will positively impact purchase intention (<xref ref-type="bibr" rid="B37">Roll, 2015</xref>). Therefore, based on the above literature review, this study hypothesized that consumers&#x2019; attitudes toward products as an impact from celebrity endorsement would positively impact on purchasing intention.</p>
<list list-type="simple">
<list-item><p>Hypothesis (H9): <italic>The attitude toward green cosmetics has a positive impact on the intention to purchase green cosmetics</italic></p>
</list-item>
</list>
</sec>
<sec id="S2.SS4">
<title>Brand Equity</title>
<p>Brand equity is vital in the field of corporate marketing. It was found that the increase in brand equity impacted retaining customers, increasing partners, and improving corporate profit margins (<xref ref-type="bibr" rid="B31">Park et al., 2019</xref>). From the perspective of enterprise management, enterprises could gain sustainable development by increasing brand equity (<xref ref-type="bibr" rid="B38">Rossiter, 2014</xref>). Meanwhile, consumer-level brand equity increased the likelihood of consumers&#x2019; choosing the brand, and broadened the channels to retain customers (<xref ref-type="bibr" rid="B20">Keller, 2018</xref>). Brand equity is defined as a brand name or brand symbol. In his research, brand loyalty, perceived quality, brand awareness, and brand correlation degree were the determinants used to examine brand equity and verify that these dimensions had significant positive effects on brand equity through the structural model (<xref ref-type="bibr" rid="B42">Sharma, 2017</xref>). The brand value of sportswear in the Chinese market is determined by brand awareness and perceived quality by <xref ref-type="bibr" rid="B51">Yoo et al. (2018)</xref>.</p>
<p>Based on the past studies, brand loyalty, perceived quality, brand awareness, brand trust, and brand association identified the determinants of brand equity. According to the past research theories, the theoretical model of this study was determined (<xref ref-type="bibr" rid="B20">Keller, 2018</xref>). Brand equity was regarded as consumers&#x2019; cognition and familiarity with a brand. Therefore, brand equity could also represent the brand&#x2019;s importance in the market (<xref ref-type="bibr" rid="B17">Kananukul et al., 2014</xref>). This study assumed that increased enterprise brand equity would positively impact consumers&#x2019; purchase intention.</p>
<list list-type="simple">
<list-item><p>Hypothesis (H10): <italic>Brand equity has a positive on the intention to purchase green cosmetics</italic></p>
</list-item>
</list>
</sec>
<sec id="S2.SS5">
<title>Mediating Effect of Attitude Toward Green Cosmetics</title>
<p><xref ref-type="bibr" rid="B46">Tantawi and Sadek (2019)</xref> postulated a significant positive relationship between celebrity endorsement and consumers&#x2019; buying attitudes. It was proven in <xref ref-type="bibr" rid="B47">Thamaraiselvan et al.&#x2019;s (2017)</xref> study that consumers&#x2019; purchase attitude would impact their buying behavior. Therefore, it was assumed that Chinese consumers&#x2019; attitudes toward green cosmetics would mediate the relationship between celebrity endorsement and intention to purchase green cosmetics as an intermediate variable for the current study.</p>
<list list-type="simple">
<list-item><p>Hypothesis (H11): <italic>The attitude toward green cosmetics mediates the relationship between celebrity attractiveness, celebrity trustworthiness, and celebrity cause fit on the intention to purchase green cosmetics</italic></p>
</list-item>
</list>
</sec>
<sec id="S2.SS6">
<title>Mediating Effect of Brand Equity</title>
<p>The current literature on brand equity determined that the structural model impacted brand equity. It was believed that brand awareness, brand loyalty, brand credibility, brand association, and perceived quality positively correlated with brand equity (<xref ref-type="bibr" rid="B42">Sharma, 2017</xref>). Therefore, brand equity was predicted to adjust the relationship between independent variables and purchase intention as an intermediate variable.</p>
<list list-type="simple">
<list-item><p>Hypothesis (H12): <italic>Brand equity mediates the relationship between Brand Awareness, Brand Associations, Brand Loyalty, Perceived Quality, Brand Credibility on an intention to purchase green cosmetics</italic></p>
</list-item>
</list>
<p>All association hypothesized and tested, presented in <xref ref-type="fig" rid="F1">Figure 1</xref>.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Research framework.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-13-860177-g001.tif"/>
</fig>
</sec>
</sec>
<sec id="S3">
<title>Research Methodology</title>
<sec id="S3.SS1">
<title>Research Design</title>
<p>The current paper aims to study the influencing factors of green cosmetics purchase by young consumers in China. Therefore, the research objects mainly consisted of young consumers in China. According to the nature of the study, a quantitative research design was used to study the relationship between various variables to test a theory or model. This study attempts to verify the relationship between celebrity endorsement, brand equity, and Chinese consumers&#x2019; intention to buy green cosmetics. Therefore, quantitative research was the most appropriate design method. The Study variables and questions were designed based on the previous relevant questionnaires. The questionnaires were distributed through social media (WeChat and other Internet platforms) to collect the respondents&#x2019; data with qualifying questions in COVID-19 time.</p>
</sec>
<sec id="S3.SS2">
<title>Population and Sample</title>
<p>Following the increased concern about green consumption, people have begun to advocate the purchase of green products, which is accepted by many consumers worldwide. Therefore, this study mainly involved Chinese consumer groups and the factors influencing the willingness to purchase green cosmetics in China. The sampling survey method was adopted and distributed through WeChat, Weibo, and other Internet platforms. The probability sampling method applied in the sample target group ensured that everyone gained an equal opportunity to collect the questionnaire and ensure the questionnaire&#x2019;s fairness and reliability (<xref ref-type="bibr" rid="B39">Sahu, 2016</xref>).</p>
<p>The research objects focused on young people aged 18 to 39 years old with a preference for trends and new things. Most of the target group gained income that could meet daily expenses. The target number of population samples to be collected was 300. The information collected by design mainly included basic issues, such as age, gender, monthly income, education level, and the monthly cost of buying cosmetics. The study results were summarized through the statistics of necessary population information.</p>
</sec>
<sec id="S3.SS3">
<title>Survey Instrument</title>
<p>The research tool used in this study was a questionnaire. The first part of the survey questionnaire collected the interviewees&#x2019; basic information, including their gender, age, education level, monthly income, and other essential information. This information determined whether the respondents were the target population of this study or vice versa. The second part focused on the design of independent and dependent variables. Specifically, the dependent variables comprised celebrity endorsement and brand equity, which were used as independent variables to test the degree of influence on Chinese consumers&#x2019; willingness to buy green cosmetics (all questions and sources presented in <xref ref-type="table" rid="T1">Table 1</xref>). Following that, 1 to 5 options were set according to the degree of recognition (strongly disagree, disagree, neither agree nor disagree, agree and strongly agree). People who filled in the questionnaire could select from these options according to their level of recognition.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Survey questionnaire.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Code</td>
<td valign="top" align="left">Questions</td>
<td valign="top" align="center">Sources</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">CA &#x2013; Item 1</td>
<td valign="top" align="left">The celebrity endorser is attractive</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B46">Tantawi and Sadek, 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">CA &#x2013; Item 2</td>
<td valign="top" align="left">The celebrity endorser is classy.</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">CA &#x2013; Item 3</td>
<td valign="top" align="left">The celebrity endorser is elegant.</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">CA &#x2013; Item 4</td>
<td valign="top" align="left">The celebrity endorser is presentable.</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">CA &#x2013; Item 5</td>
<td valign="top" align="left">The celebrity endorser is well known</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">CT &#x2013; Item 1</td>
<td valign="top" align="left">The celebrity endorser is honest.</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B46">Tantawi and Sadek, 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">CT &#x2013; Item 2</td>
<td valign="top" align="left">The celebrity endorser is reliable.</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">CT &#x2013; Item 3</td>
<td valign="top" align="left">The celebrity endorser is trustworthy.</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">CT &#x2013; Item 4</td>
<td valign="top" align="left">The celebrity endorser is dependable.</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">CT &#x2013; Item 5</td>
<td valign="top" align="left">The celebrity endorser is sincere.</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">CF &#x2013; Item 1</td>
<td valign="top" align="left">It is very logical for the celebrity to endorse products</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B47">Thamaraiselvan et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="left">CF &#x2013; Item 2</td>
<td valign="top" align="left">The celebrity appropriate to endorse the products is very important.</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">CF &#x2013; Item 3</td>
<td valign="top" align="left">The cause matched with celebrity personality.</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">CF &#x2013; Item 4</td>
<td valign="top" align="left">The celebrity and the product company should be represent to each other well.</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">CF &#x2013; Item 5</td>
<td valign="top" align="left">The celebrity and the product company should fit together well.</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">AGC &#x2013; Item 1</td>
<td valign="top" align="left">I like buying products which donate part of their profits to environment.</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B47">Thamaraiselvan et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="left">AGC &#x2013; Item 2</td>
<td valign="top" align="left">I am willing to pay more for a product if the manufacturer donates part of the profits to environmental protection.</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">AGC &#x2013; Item 3</td>
<td valign="top" align="left">If a company is donating part of its profits to produce green products then I am more likely to buy its products.</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">AGC &#x2013; Item 4</td>
<td valign="top" align="left">Companies who advertise that they are donating part of their profits to environmental protection are good corporate citizens.</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">AGC &#x2013; Item 5</td>
<td valign="top" align="left">I make a special effort to buy from companies that support environmental causes.</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">BA &#x2013; Item 1</td>
<td valign="top" align="left">I can recognize green brand among other competing brands</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B42">Sharma, 2017</xref></td>
</tr>
<tr>
<td valign="top" align="left">BA &#x2013; Item 2</td>
<td valign="top" align="left">I am aware of green brand cosmetics</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">BA &#x2013; Item 3</td>
<td valign="top" align="left">The green brand is known to me.</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">BA &#x2013; Item 4</td>
<td valign="top" align="left">I am acquainted with the green brand cosmetics</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">BA &#x2013; Item 5</td>
<td valign="top" align="left">I know green brand cosmetics very well</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">PQ &#x2013; Item 1</td>
<td valign="top" align="left">Green cosmetics are high quality</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B31">Park et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">PQ &#x2013; Item 2</td>
<td valign="top" align="left">The likely quality of green cosmetics is extremely high</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">PQ &#x2013; Item 3</td>
<td valign="top" align="left">The likelihood that green cosmetics is reliable is very high</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">PQ &#x2013; Item 4</td>
<td valign="top" align="left">The likelihood that green cosmetics will be satisfactory is very high</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">PQ &#x2013; Item 5</td>
<td valign="top" align="left">Green cosmetics is a quality leader within its category</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">BL &#x2013; Item 1</td>
<td valign="top" align="left">I consider myself to be loyal to green cosmetics</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B42">Sharma, 2017</xref></td>
</tr>
<tr>
<td valign="top" align="left">BL &#x2013; Item 2</td>
<td valign="top" align="left">I will not buy other brands if green cosmetics are available at the store</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">BL &#x2013; Item 3</td>
<td valign="top" align="left">Even if another product has the same features as the cosmetics, I would prefer to buy green cosmetics.</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">BL &#x2013; Item 4</td>
<td valign="top" align="left">Green cosmetics would be my first choice</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">BL &#x2013; Item 5</td>
<td valign="top" align="left">Green cosmetics are products that I often buy back</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">BS &#x2013; Item 1</td>
<td valign="top" align="left">You can recognize this brand among other competing brands because of its environmental commitments</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B1">Akturan, 2018</xref></td>
</tr>
<tr>
<td valign="top" align="left">BS &#x2013; Item 2</td>
<td valign="top" align="left">You are aware of this brand because of its environmental reputation</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">BS &#x2013; Item 3</td>
<td valign="top" align="left">Some environmental characteristics of this brand come to the top-of-mind in your consideration set quickly</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">BS &#x2013; Item 4</td>
<td valign="top" align="left">You can quickly recall the green image of this brand</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">BS &#x2013; Item 5</td>
<td valign="top" align="left">I have a clear impression of the type of people who use the green brand</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">BC &#x2013; Item 1</td>
<td valign="top" align="left">The green brand has the ability to deliver what it promises</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B1">Akturan, 2018</xref></td>
</tr>
<tr>
<td valign="top" align="left">BC &#x2013; Item 2</td>
<td valign="top" align="left">Green brand&#x2019;s product claims are believable</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">BC &#x2013; Item 3</td>
<td valign="top" align="left">Over time, my experiences with the green brand have led me to expect it to keep its promises.</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">BC &#x2013; Item 4</td>
<td valign="top" align="left">The green brand has a name you can trust</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">BC &#x2013; Item 5</td>
<td valign="top" align="left">Green brands have their own techniques that you can trust</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">BE &#x2013; Item 1</td>
<td valign="top" align="left">It makes sense to buy this brand instead of other brands because of its environmental commitments, even if they are the same.</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B42">Sharma, 2017</xref></td>
</tr>
<tr>
<td valign="top" align="left">BE &#x2013; Item 2</td>
<td valign="top" align="left">Even if another brand has the same cosmetics features as green brand products, I would prefer to buy green brand products</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">BE &#x2013; Item 3</td>
<td valign="top" align="left">If there is another cosmetics performance greater than green cosmetics, I would prefer to buy green brand products</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">BE &#x2013; Item 4</td>
<td valign="top" align="left">If the performance concern of another brand is not different from that of this brand in any way, it seems smarter to purchase a green brand</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">BE &#x2013; Item 5</td>
<td valign="top" align="left">Buying green cosmetics is more attractive than other brands&#x2019; assets because it is in line with the concept of sustainable development</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">IGC &#x2013; Item 1</td>
<td valign="top" align="left">I intend to buy green cosmetics in the future</td>
<td valign="top" align="center"><xref ref-type="bibr" rid="B27">Nam et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="left">IGC &#x2013; Item 2</td>
<td valign="top" align="left">I will try to buy green cosmetics in the future</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">IGC &#x2013; Item 3</td>
<td valign="top" align="left">I will make an effort to buy green cosmetics in the future</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">IGC &#x2013; Item 4</td>
<td valign="top" align="left">I would be willing to influence others to purchase green cosmetics-related products.</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">IGC &#x2013; Item 5</td>
<td valign="top" align="left">The likelihood of purchasing this product is very high</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">IGC &#x2013; Item 6</td>
<td valign="top" align="left">The probability that I would consider buying the product is very high</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">IGC &#x2013; Item 7</td>
<td valign="top" align="left">My willingness to buy the product is very high</td>
<td valign="top" align="left"/></tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>CA: Celebrity Attractiveness, CT: Celebrity Trustworthiness, CF: Celebrity Cause Fit, AGC: Attitude Toward Green Cosmetics, BA: Brand Awareness, BS: Brand Associations, BL: Brand Loyalty, PQ: Perceived Quality, BC: Brand Credibility, BEQ: Brand Equity, IGC: Intention to Purchase Green Cosmetics.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS4">
<title>Common Method Bias</title>
<p>Common method variance (CMV) is common in social science research and primarily generated due to a single source of data collection methods and techniques (<xref ref-type="bibr" rid="B34">Podsakoff et al., 2003</xref>). <xref ref-type="bibr" rid="B13">Hermans&#x2019;s (1970)</xref> one-factor test was recommended to manage the CMV (<xref ref-type="bibr" rid="B34">Podsakoff et al., 2003</xref>). One-factor Harman&#x2019;s test was applied to evaluate the issue of CMV in the study. It was found that no critical issue of CMV was present as the main factor accounted for 28.75% variance and was below the recommended limit of 50% (<xref ref-type="bibr" rid="B34">Podsakoff et al., 2003</xref>).</p>
</sec>
<sec id="S3.SS5">
<title>Multivariate Normality</title>
<p><xref ref-type="bibr" rid="B33">Peng and Lai (2012)</xref> suggested that general statements should not be made about the ability of the PLS estimation model. It could violate the multivariate normal assumption although PLS does not require a multivariate normal data distribution (<xref ref-type="bibr" rid="B8">Cain et al., 2017</xref>; <xref ref-type="bibr" rid="B12">Hair et al., 2019</xref>). This study used the Smart-PLS online tool to test multivariate normality. According to the calculation, it was found that the <italic>p</italic>-Values of the multivariate skewness and kurtosis coefficient of Mardias were lower than 0.05, proving the irregular current data.</p>
</sec>
<sec id="S3.SS6">
<title>Data Analysis Method</title>
<p>The results from the analysis of the collected data using SmartPLS software summarized the study conclusions and insights. The primary contents included (1) basic description analysis, mainly used to describe the central trend and quantitative data distribution, (2) reliability analysis, (3) validity analysis mainly including convergence validity and discriminant validity, and (4) influence relationship study (<xref ref-type="bibr" rid="B12">Hair et al., 2019</xref>). Cronbach&#x2019;s Alpha reliability coefficient method is the most commonly used. Cronbach&#x2019;s alpha&#x2019;s reliability coefficient was tested to measure whether the research data reached the standard or vice versa. Convergent validity validation factor analysis of AVE, CR, and other indicators made a comparison between validity validation AVE and correlation analysis results (<xref ref-type="bibr" rid="B9">Chin, 2010</xref>). The study focused on data path analysis to study the relationship between multiple independent variables (<xref ref-type="bibr" rid="B12">Hair et al., 2019</xref>).</p>
</sec>
</sec>
<sec id="S4">
<title>Research Findings</title>
<sec id="S4.SS1">
<title>Demographic Details</title>
<p><xref ref-type="table" rid="T2">Table 2</xref> presents the demographic data of 301 respondents, including five questions. Based on this sample survey, 248 female respondents accounted for 82.4%, while 17.6% were male. This paper mainly focuses on research on the purchase of green cosmetics among Chinese women. In launching the questionnaire, the target group was mainly female, while the proportion of male interviewees was significantly lower compared to female interviewees. Most (37.5%) of the respondents were aged between 18 and 25. As a result, more young people were surveyed. The remaining groups aged 26&#x2013;30 and 31&#x2013;40 years old, 34.2% and 22.9%, respectively. In terms of income, most of the interviewees gained a monthly income of 1000&#x2013;3000 (RMB), which accounted for 32.9%. The second group consisted of interviewees with a monthly income of 3000&#x2013;5000 (RMB), which accounted for 26.6% of the respondents. Most of the respondents have bachelor&#x2019;s degrees (41.5%). According to the data results, most young Chinese consumers spend less than 500 yuan (RMB) per month on green cosmetics. The interviewed group was relatively young, mainly consisted of students and the starting phase of social work.</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Demographic characteristics.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center">N</td>
<td valign="top" align="center">%</td>
<td/>
<td valign="top" align="center">N</td>
<td valign="top" align="center">%</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Gender</bold></td>
<td/>
<td/>
<td valign="top" align="left"><bold>Education</bold></td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">248</td>
<td valign="top" align="center">82.4</td>
<td valign="top" align="left">junior high school</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.7</td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">17.6</td>
<td valign="top" align="left">high school</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">3.3</td>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="center">301</td>
<td valign="top" align="center">100.0</td>
<td valign="top" align="left">Diploma</td>
<td valign="top" align="center">104</td>
<td valign="top" align="center">34.6</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">Bachelor Degree</td>
<td valign="top" align="center">125</td>
<td valign="top" align="center">41.5</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Age Group</bold></td>
<td/>
<td/>
<td valign="top" align="left">Master Degree</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">17.3</td>
</tr>
<tr>
<td valign="top" align="left">18 &#x2013; 25 years old</td>
<td valign="top" align="center">113</td>
<td valign="top" align="center">37.5</td>
<td valign="top" align="left">Doctorate Degree</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.7</td>
</tr>
<tr>
<td valign="top" align="left">26 &#x2013; 30 years old</td>
<td valign="top" align="center">104</td>
<td valign="top" align="center">34.6</td>
<td valign="top" align="left">Total</td>
<td valign="top" align="center">301</td>
<td valign="top" align="center">100.0</td>
</tr>
<tr>
<td valign="top" align="left">31 &#x2013; 40 years old</td>
<td valign="top" align="center">69</td>
<td valign="top" align="center">22.9</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">41 &#x2013; 50 years old</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">3.7</td>
<td valign="top" align="left" colspan="3"><bold>Average Monthly Income (Yuan)</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x003E;51 years old</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1.3</td>
<td valign="top" align="left">Less than 1000 Yuan</td>
<td valign="top" align="center">44</td>
<td valign="top" align="center">14.6</td>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="center">301</td>
<td valign="top" align="center">100.0</td>
<td valign="top" align="left">1001&#x2013;3000 Yuan</td>
<td valign="top" align="center">99</td>
<td valign="top" align="center">32.9</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">3001&#x2013;5000 Yuan</td>
<td valign="top" align="center">80</td>
<td valign="top" align="center">26.6</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>Monthly Budget for Cosmetics (Yuan)</bold></td>
<td valign="top" align="left">5001&#x2013;7000 Yuan</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">9.0</td>
</tr>
<tr>
<td valign="top" align="left">Less than 500 Yuan</td>
<td valign="top" align="center">148</td>
<td valign="top" align="center">49.2</td>
<td valign="top" align="left">7001&#x2013;9000 Yuan</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">7.0</td>
</tr>
<tr>
<td valign="top" align="left">501&#x2013;1500 Yuan</td>
<td valign="top" align="center">90</td>
<td valign="top" align="center">29.9</td>
<td valign="top" align="left">9001&#x2013;10000 Yuan</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">6.0</td>
</tr>
<tr>
<td valign="top" align="left">1501&#x2013;3000 Yuan</td>
<td valign="top" align="center">54</td>
<td valign="top" align="center">17.9</td>
<td valign="top" align="left">More than 10001 Yuan</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">4.0</td>
</tr>
<tr>
<td valign="top" align="left">More than 3001 Yuan</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">3.0</td>
<td valign="top" align="left">Total</td>
<td valign="top" align="center">301</td>
<td valign="top" align="center">100.0</td>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="center">301</td>
<td valign="top" align="center">100.0</td>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="S4.SS2">
<title>Reliability and Validity</title>
<p><xref ref-type="table" rid="T3">Table 3</xref> illustrates the reliability of each item in this study, which mainly refers to the reliability of the research data results. All variables&#x2019; mean and standard deviation (celebrity attractiveness, celebrity trustworthiness, celebrity cause fit, attitude toward green cosmetics, brand awareness, brand associations, brand loyalty, perceived quality, brand credibility, brand equity, intention to purchase green cosmetics) are presented in <xref ref-type="table" rid="T3">Table 3</xref>. According to the data results, the mean value of celebrity trustworthiness, brand awareness, and deviation of celebrity trustworthiness are relatively small. This result indicated that most young consumers do not believe that celebrity endorsement has integrity or celebrity credibility will not improve Chinese consumers&#x2019; attitudes toward green cosmetics.</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>Reliability and validity.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Variables</td>
<td valign="top" align="center">No. Items</td>
<td valign="top" align="center">Mean</td>
<td valign="top" align="center"><italic>SD</italic></td>
<td valign="top" align="center">CA</td>
<td valign="top" align="center">DG <italic>rho</italic></td>
<td valign="top" align="center">CR</td>
<td valign="top" align="center">AVE</td>
<td valign="top" align="center">VIF</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">CA</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">3.447</td>
<td valign="top" align="center">0.844</td>
<td valign="top" align="center">0.880</td>
<td valign="top" align="center">0.887</td>
<td valign="top" align="center">0.912</td>
<td valign="top" align="center">0.676</td>
<td valign="top" align="center">1.801</td>
</tr>
<tr>
<td valign="top" align="left">CT</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.746</td>
<td valign="top" align="center">0.841</td>
<td valign="top" align="center">0.889</td>
<td valign="top" align="center">0.891</td>
<td valign="top" align="center">0.919</td>
<td valign="top" align="center">0.693</td>
<td valign="top" align="center">1.272</td>
</tr>
<tr>
<td valign="top" align="left">CF</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">3.320</td>
<td valign="top" align="center">0.926</td>
<td valign="top" align="center">0.944</td>
<td valign="top" align="center">0.945</td>
<td valign="top" align="center">0.957</td>
<td valign="top" align="center">0.818</td>
<td valign="top" align="center">1.823</td>
</tr>
<tr>
<td valign="top" align="left">AGC</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">3.483</td>
<td valign="top" align="center">0.897</td>
<td valign="top" align="center">0.919</td>
<td valign="top" align="center">0.920</td>
<td valign="top" align="center">0.939</td>
<td valign="top" align="center">0.756</td>
<td valign="top" align="center">1.392</td>
</tr>
<tr>
<td valign="top" align="left">BA</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.870</td>
<td valign="top" align="center">0.996</td>
<td valign="top" align="center">0.937</td>
<td valign="top" align="center">0.942</td>
<td valign="top" align="center">0.952</td>
<td valign="top" align="center">0.799</td>
<td valign="top" align="center">1.796</td>
</tr>
<tr>
<td valign="top" align="left">BS</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">3.127</td>
<td valign="top" align="center">0.929</td>
<td valign="top" align="center">0.956</td>
<td valign="top" align="center">0.958</td>
<td valign="top" align="center">0.966</td>
<td valign="top" align="center">0.852</td>
<td valign="top" align="center">2.878</td>
</tr>
<tr>
<td valign="top" align="left">BL</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">3.271</td>
<td valign="top" align="center">0.967</td>
<td valign="top" align="center">0.947</td>
<td valign="top" align="center">0.949</td>
<td valign="top" align="center">0.959</td>
<td valign="top" align="center">0.826</td>
<td valign="top" align="center">1.601</td>
</tr>
<tr>
<td valign="top" align="left">PQ</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.940</td>
<td valign="top" align="center">0.962</td>
<td valign="top" align="center">0.951</td>
<td valign="top" align="center">0.952</td>
<td valign="top" align="center">0.962</td>
<td valign="top" align="center">0.835</td>
<td valign="top" align="center">1.877</td>
</tr>
<tr>
<td valign="top" align="left">BC</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.993</td>
<td valign="top" align="center">0.981</td>
<td valign="top" align="center">0.954</td>
<td valign="top" align="center">0.955</td>
<td valign="top" align="center">0.965</td>
<td valign="top" align="center">0.845</td>
<td valign="top" align="center">2.248</td>
</tr>
<tr>
<td valign="top" align="left">BEQ</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">3.290</td>
<td valign="top" align="center">0.923</td>
<td valign="top" align="center">0.941</td>
<td valign="top" align="center">0.942</td>
<td valign="top" align="center">0.955</td>
<td valign="top" align="center">0.811</td>
<td valign="top" align="center">1.392</td>
</tr>
<tr>
<td valign="top" align="left">IGC</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">3.512</td>
<td valign="top" align="center">0.992</td>
<td valign="top" align="center">0.971</td>
<td valign="top" align="center">0.972</td>
<td valign="top" align="center">0.976</td>
<td valign="top" align="center">0.853</td>
<td valign="top" align="center">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>CA: Celebrity Attractiveness, CT: Celebrity Trustworthiness, CF: Celebrity Cause Fit, AGC: Attitude Toward Green Cosmetics, BA: Brand Awareness, BS: Brand Associations, BL: Brand Loyalty, PQ: Perceived Quality, BC: Brand Credibility, BEQ: Brand Equity, IGC: Intention to Purchase Green Cosmetics, SD: Standard Deviation, CAA: Cronbach&#x2019;s Alpha, DG rho: Dillon-Goldstein&#x2019;s rho, CR: Composite Reliability, AVE: Average Variance Extracted, VIF: Variance Inflation Factors. Author&#x2019;s data analysis.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<p>Cronbach&#x2019;s Alpha was used to measure the reliability of data results. The data could be considered reliable with a value of &#x003E;0.7. The value reliability ranged from 0 to 1, with a more reliable value achieved when the value was closer to 1. According to the data results, the Cronbach&#x2019;s Alpha value of each variable was higher than 0.8, leading to a high degree of reliability. Generally, the requirement for Dillon Goldstein&#x2019;s rho value is &#x003E;0.65, which was fulfilled by questionnaire results. Furthermore, AVE indicates the level of representation of the dependent variable made through each independent variable. The AVE value of &#x003E;0.5 indicated good convergence, which was in line with the data from the analysis results. VIF is an index to measure the degree of collinearity in multiple linear regression models. A higher value of VIF increased the possibility of commonality between variables. Generally, the value of VIF ranges from 0.1 to 10, indicating the absence of collinearity issue between the variables. Therefore, the VIF results of this study were within a reasonable range.</p>
<p>According to the discriminant validity principle of the Fornell-Larcker Criterion, the AVE square root value of the dimension should be higher compared to the correlation coefficient below that value. As shown in <xref ref-type="table" rid="T4">Table 4</xref>, the AVE square root of the data result dimension was significantly higher than the coefficient results below. Therefore, the data were in line with the criteria. Furthermore, HTMT refers to the mean value of the correlation between the indexes of different dimensions and the mean value of indexes of the same dimension. With a similar concept of variables in the dimension, the threshold value of HTMT was maintained at 0.9. According to the calculation results, given that the HTMT data result amounted to 0.876 &#x003C; 0.9, the research data fulfilled the standard.</p>
<table-wrap position="float" id="T4">
<label>TABLE 4</label>
<caption><p>Discriminant validity.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center">CA</td>
<td valign="top" align="center">CT</td>
<td valign="top" align="center">CF</td>
<td valign="top" align="center">AGC</td>
<td valign="top" align="center">BA</td>
<td valign="top" align="center">BS</td>
<td valign="top" align="center">BL</td>
<td valign="top" align="center">PQ</td>
<td valign="top" align="center">BC</td>
<td valign="top" align="center">BEQ</td>
<td valign="top" align="center">IGC</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="5"><bold>Fornell-Larcker Criterion</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">CA</td>
<td valign="top" align="center">0.822</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">CT</td>
<td valign="top" align="center">0.414</td>
<td valign="top" align="center">0.833</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">CF</td>
<td valign="top" align="center">0.649</td>
<td valign="top" align="center">0.426</td>
<td valign="top" align="center">0.905</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">AGC</td>
<td valign="top" align="center">0.642</td>
<td valign="top" align="center">0.423</td>
<td valign="top" align="center">0.657</td>
<td valign="top" align="center">0.869</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">BA</td>
<td valign="top" align="center">0.444</td>
<td valign="top" align="center">0.493</td>
<td valign="top" align="center">0.444</td>
<td valign="top" align="center">0.457</td>
<td valign="top" align="center">0.894</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">BS</td>
<td valign="top" align="center">0.479</td>
<td valign="top" align="center">0.537</td>
<td valign="top" align="center">0.483</td>
<td valign="top" align="center">0.535</td>
<td valign="top" align="center">0.638</td>
<td valign="top" align="center">0.923</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">BL</td>
<td valign="top" align="center">0.550</td>
<td valign="top" align="center">0.341</td>
<td valign="top" align="center">0.461</td>
<td valign="top" align="center">0.595</td>
<td valign="top" align="center">0.454</td>
<td valign="top" align="center">0.575</td>
<td valign="top" align="center">0.909</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">PQ</td>
<td valign="top" align="center">0.388</td>
<td valign="top" align="center">0.536</td>
<td valign="top" align="center">0.358</td>
<td valign="top" align="center">0.401</td>
<td valign="top" align="center">0.514</td>
<td valign="top" align="center">0.577</td>
<td valign="top" align="center">0.489</td>
<td valign="top" align="center">0.914</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">BC</td>
<td valign="top" align="center">0.323</td>
<td valign="top" align="center">0.535</td>
<td valign="top" align="center">0.322</td>
<td valign="top" align="center">0.369</td>
<td valign="top" align="center">0.494</td>
<td valign="top" align="center">0.702</td>
<td valign="top" align="center">0.419</td>
<td valign="top" align="center">0.607</td>
<td valign="top" align="center">0.919</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">BEQ</td>
<td valign="top" align="center">0.506</td>
<td valign="top" align="center">0.410</td>
<td valign="top" align="center">0.503</td>
<td valign="top" align="center">0.531</td>
<td valign="top" align="center">0.446</td>
<td valign="top" align="center">0.573</td>
<td valign="top" align="center">0.571</td>
<td valign="top" align="center">0.538</td>
<td valign="top" align="center">0.602</td>
<td valign="top" align="center">0.900</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">IGC</td>
<td valign="top" align="center">0.588</td>
<td valign="top" align="center">0.298</td>
<td valign="top" align="center">0.550</td>
<td valign="top" align="center">0.540</td>
<td valign="top" align="center">0.406</td>
<td valign="top" align="center">0.435</td>
<td valign="top" align="center">0.553</td>
<td valign="top" align="center">0.454</td>
<td valign="top" align="center">0.352</td>
<td valign="top" align="center">0.553</td>
<td valign="top" align="center">0.923</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Heterotrait-Monotrait Ratio (HTMT)</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">CA</td>
<td valign="top" align="center">&#x2013;</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">CT</td>
<td valign="top" align="center">0.476</td>
<td valign="top" align="center">&#x2013;</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">CF</td>
<td valign="top" align="center">0.707</td>
<td valign="top" align="center">0.463</td>
<td valign="top" align="center">&#x2013;</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">AGC</td>
<td valign="top" align="center">0.708</td>
<td valign="top" align="center">0.467</td>
<td valign="top" align="center">0.702</td>
<td valign="top" align="center">&#x2013;</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">BA</td>
<td valign="top" align="center">0.485</td>
<td valign="top" align="center">0.538</td>
<td valign="top" align="center">0.471</td>
<td valign="top" align="center">0.485</td>
<td valign="top" align="center">&#x2013;</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">BS</td>
<td valign="top" align="center">0.528</td>
<td valign="top" align="center">0.583</td>
<td valign="top" align="center">0.506</td>
<td valign="top" align="center">0.570</td>
<td valign="top" align="center">0.671</td>
<td valign="top" align="center">&#x2013;</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">BL</td>
<td valign="top" align="center">0.605</td>
<td valign="top" align="center">0.372</td>
<td valign="top" align="center">0.486</td>
<td valign="top" align="center">0.638</td>
<td valign="top" align="center">0.479</td>
<td valign="top" align="center">0.603</td>
<td valign="top" align="center">&#x2013;</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">PQ</td>
<td valign="top" align="center">0.428</td>
<td valign="top" align="center">0.583</td>
<td valign="top" align="center">0.376</td>
<td valign="top" align="center">0.429</td>
<td valign="top" align="center">0.542</td>
<td valign="top" align="center">0.605</td>
<td valign="top" align="center">0.514</td>
<td valign="top" align="center">&#x2013;</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">BC</td>
<td valign="top" align="center">0.358</td>
<td valign="top" align="center">0.580</td>
<td valign="top" align="center">0.339</td>
<td valign="top" align="center">0.395</td>
<td valign="top" align="center">0.524</td>
<td valign="top" align="center">0.735</td>
<td valign="top" align="center">0.439</td>
<td valign="top" align="center">0.637</td>
<td valign="top" align="center">&#x2013;</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">BEQ</td>
<td valign="top" align="center">0.555</td>
<td valign="top" align="center">0.448</td>
<td valign="top" align="center">0.532</td>
<td valign="top" align="center">0.571</td>
<td valign="top" align="center">0.469</td>
<td valign="top" align="center">0.603</td>
<td valign="top" align="center">0.603</td>
<td valign="top" align="center">0.568</td>
<td valign="top" align="center">0.635</td>
<td valign="top" align="center">&#x2013;</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">IGC</td>
<td valign="top" align="center">0.630</td>
<td valign="top" align="center">0.320</td>
<td valign="top" align="center">0.573</td>
<td valign="top" align="center">0.571</td>
<td valign="top" align="center">0.419</td>
<td valign="top" align="center">0.451</td>
<td valign="top" align="center">0.576</td>
<td valign="top" align="center">0.471</td>
<td valign="top" align="center">0.365</td>
<td valign="top" align="center">0.577</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>CA: Celebrity Attractiveness, CT: Celebrity Trustworthiness, CF: Celebrity Cause Fit, AGC: Attitude Toward Green Cosmetics, BA: Brand Awareness, BS: Brand Associations, BL: Brand Loyalty, PQ: Perceived Quality, BC: Brand Credibility, BEQ: Brand Equity, IGC: Intention to Purchase Green Cosmetics.</italic></p></fn>
<fn><p><italic>Author&#x2019;s data analysis.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<p><xref ref-type="table" rid="T5">Table 5</xref> illustrates the value of cross-loading, reflecting the comparison between the load value and the value of cross-loading. According to the data results, the load value was higher compared to the cross-loading value. Besides, each item load value was higher than 0.7, proving discriminant validity in the data.</p>
<table-wrap position="float" id="T5">
<label>TABLE 5</label>
<caption><p>Loadings and cross-loading.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Code</td>
<td valign="top" align="center">CA</td>
<td valign="top" align="center">CT</td>
<td valign="top" align="center">CF</td>
<td valign="top" align="center">AGC</td>
<td valign="top" align="center">BA</td>
<td valign="top" align="center">BS</td>
<td valign="top" align="center">BL</td>
<td valign="top" align="center">PQ</td>
<td valign="top" align="center">BC</td>
<td valign="top" align="center">BEQ</td>
<td valign="top" align="center">IGC</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">CA &#x2013; Item 1</td>
<td valign="top" align="center">0.814</td>
<td valign="top" align="center">0.272</td>
<td valign="top" align="center">0.523</td>
<td valign="top" align="center">0.531</td>
<td valign="top" align="center">0.348</td>
<td valign="top" align="center">0.345</td>
<td valign="top" align="center">0.393</td>
<td valign="top" align="center">0.272</td>
<td valign="top" align="center">0.231</td>
<td valign="top" align="center">0.393</td>
<td valign="top" align="center">0.480</td>
</tr>
<tr>
<td valign="top" align="left">CA &#x2013; Item 2</td>
<td valign="top" align="center">0.760</td>
<td valign="top" align="center">0.430</td>
<td valign="top" align="center">0.445</td>
<td valign="top" align="center">0.421</td>
<td valign="top" align="center">0.358</td>
<td valign="top" align="center">0.448</td>
<td valign="top" align="center">0.463</td>
<td valign="top" align="center">0.356</td>
<td valign="top" align="center">0.324</td>
<td valign="top" align="center">0.377</td>
<td valign="top" align="center">0.374</td>
</tr>
<tr>
<td valign="top" align="left">CA &#x2013; Item 3</td>
<td valign="top" align="center">0.843</td>
<td valign="top" align="center">0.417</td>
<td valign="top" align="center">0.509</td>
<td valign="top" align="center">0.537</td>
<td valign="top" align="center">0.391</td>
<td valign="top" align="center">0.465</td>
<td valign="top" align="center">0.488</td>
<td valign="top" align="center">0.326</td>
<td valign="top" align="center">0.305</td>
<td valign="top" align="center">0.448</td>
<td valign="top" align="center">0.474</td>
</tr>
<tr>
<td valign="top" align="left">CA &#x2013; Item 4</td>
<td valign="top" align="center">0.834</td>
<td valign="top" align="center">0.330</td>
<td valign="top" align="center">0.588</td>
<td valign="top" align="center">0.543</td>
<td valign="top" align="center">0.384</td>
<td valign="top" align="center">0.386</td>
<td valign="top" align="center">0.471</td>
<td valign="top" align="center">0.341</td>
<td valign="top" align="center">0.275</td>
<td valign="top" align="center">0.425</td>
<td valign="top" align="center">0.524</td>
</tr>
<tr>
<td valign="top" align="left">CA &#x2013; Item 5</td>
<td valign="top" align="center">0.857</td>
<td valign="top" align="center">0.282</td>
<td valign="top" align="center">0.588</td>
<td valign="top" align="center">0.586</td>
<td valign="top" align="center">0.348</td>
<td valign="top" align="center">0.348</td>
<td valign="top" align="center">0.454</td>
<td valign="top" align="center">0.315</td>
<td valign="top" align="center">0.214</td>
<td valign="top" align="center">0.431</td>
<td valign="top" align="center">0.545</td>
</tr>
<tr>
<td valign="top" align="left">CT &#x2013; Item 1</td>
<td valign="top" align="center">0.344</td>
<td valign="top" align="center">0.815</td>
<td valign="top" align="center">0.335</td>
<td valign="top" align="center">0.337</td>
<td valign="top" align="center">0.368</td>
<td valign="top" align="center">0.439</td>
<td valign="top" align="center">0.291</td>
<td valign="top" align="center">0.478</td>
<td valign="top" align="center">0.497</td>
<td valign="top" align="center">0.302</td>
<td valign="top" align="center">0.188</td>
</tr>
<tr>
<td valign="top" align="left">CT &#x2013; Item 2</td>
<td valign="top" align="center">0.305</td>
<td valign="top" align="center">0.845</td>
<td valign="top" align="center">0.343</td>
<td valign="top" align="center">0.346</td>
<td valign="top" align="center">0.384</td>
<td valign="top" align="center">0.469</td>
<td valign="top" align="center">0.289</td>
<td valign="top" align="center">0.439</td>
<td valign="top" align="center">0.457</td>
<td valign="top" align="center">0.339</td>
<td valign="top" align="center">0.249</td>
</tr>
<tr>
<td valign="top" align="left">CT &#x2013; Item 3</td>
<td valign="top" align="center">0.369</td>
<td valign="top" align="center">0.804</td>
<td valign="top" align="center">0.357</td>
<td valign="top" align="center">0.332</td>
<td valign="top" align="center">0.433</td>
<td valign="top" align="center">0.457</td>
<td valign="top" align="center">0.276</td>
<td valign="top" align="center">0.407</td>
<td valign="top" align="center">0.398</td>
<td valign="top" align="center">0.351</td>
<td valign="top" align="center">0.297</td>
</tr>
<tr>
<td valign="top" align="left">CT &#x2013; Item 4</td>
<td valign="top" align="center">0.316</td>
<td valign="top" align="center">0.861</td>
<td valign="top" align="center">0.346</td>
<td valign="top" align="center">0.362</td>
<td valign="top" align="center">0.392</td>
<td valign="top" align="center">0.431</td>
<td valign="top" align="center">0.269</td>
<td valign="top" align="center">0.483</td>
<td valign="top" align="center">0.433</td>
<td valign="top" align="center">0.381</td>
<td valign="top" align="center">0.252</td>
</tr>
<tr>
<td valign="top" align="left">CT &#x2013; Item 5</td>
<td valign="top" align="center">0.388</td>
<td valign="top" align="center">0.837</td>
<td valign="top" align="center">0.389</td>
<td valign="top" align="center">0.380</td>
<td valign="top" align="center">0.473</td>
<td valign="top" align="center">0.440</td>
<td valign="top" align="center">0.294</td>
<td valign="top" align="center">0.427</td>
<td valign="top" align="center">0.444</td>
<td valign="top" align="center">0.334</td>
<td valign="top" align="center">0.254</td>
</tr>
<tr>
<td valign="top" align="left">CF &#x2013; Item 1</td>
<td valign="top" align="center">0.591</td>
<td valign="top" align="center">0.449</td>
<td valign="top" align="center">0.833</td>
<td valign="top" align="center">0.615</td>
<td valign="top" align="center">0.425</td>
<td valign="top" align="center">0.480</td>
<td valign="top" align="center">0.454</td>
<td valign="top" align="center">0.400</td>
<td valign="top" align="center">0.375</td>
<td valign="top" align="center">0.524</td>
<td valign="top" align="center">0.540</td>
</tr>
<tr>
<td valign="top" align="left">CF &#x2013; Item 2</td>
<td valign="top" align="center">0.572</td>
<td valign="top" align="center">0.371</td>
<td valign="top" align="center">0.908</td>
<td valign="top" align="center">0.547</td>
<td valign="top" align="center">0.406</td>
<td valign="top" align="center">0.417</td>
<td valign="top" align="center">0.374</td>
<td valign="top" align="center">0.304</td>
<td valign="top" align="center">0.277</td>
<td valign="top" align="center">0.418</td>
<td valign="top" align="center">0.478</td>
</tr>
<tr>
<td valign="top" align="left">CF &#x2013; Item 3</td>
<td valign="top" align="center">0.587</td>
<td valign="top" align="center">0.378</td>
<td valign="top" align="center">0.927</td>
<td valign="top" align="center">0.604</td>
<td valign="top" align="center">0.397</td>
<td valign="top" align="center">0.408</td>
<td valign="top" align="center">0.395</td>
<td valign="top" align="center">0.292</td>
<td valign="top" align="center">0.240</td>
<td valign="top" align="center">0.429</td>
<td valign="top" align="center">0.480</td>
</tr>
<tr>
<td valign="top" align="left">CF &#x2013; Item 4</td>
<td valign="top" align="center">0.585</td>
<td valign="top" align="center">0.348</td>
<td valign="top" align="center">0.930</td>
<td valign="top" align="center">0.593</td>
<td valign="top" align="center">0.396</td>
<td valign="top" align="center">0.425</td>
<td valign="top" align="center">0.431</td>
<td valign="top" align="center">0.298</td>
<td valign="top" align="center">0.264</td>
<td valign="top" align="center">0.437</td>
<td valign="top" align="center">0.480</td>
</tr>
<tr>
<td valign="top" align="left">CF &#x2013; Item 5</td>
<td valign="top" align="center">0.598</td>
<td valign="top" align="center">0.374</td>
<td valign="top" align="center">0.922</td>
<td valign="top" align="center">0.603</td>
<td valign="top" align="center">0.381</td>
<td valign="top" align="center">0.447</td>
<td valign="top" align="center">0.424</td>
<td valign="top" align="center">0.318</td>
<td valign="top" align="center">0.295</td>
<td valign="top" align="center">0.457</td>
<td valign="top" align="center">0.502</td>
</tr>
<tr>
<td valign="top" align="left">AGC &#x2013; Item 1</td>
<td valign="top" align="center">0.578</td>
<td valign="top" align="center">0.382</td>
<td valign="top" align="center">0.642</td>
<td valign="top" align="center">0.856</td>
<td valign="top" align="center">0.401</td>
<td valign="top" align="center">0.437</td>
<td valign="top" align="center">0.497</td>
<td valign="top" align="center">0.328</td>
<td valign="top" align="center">0.299</td>
<td valign="top" align="center">0.452</td>
<td valign="top" align="center">0.450</td>
</tr>
<tr>
<td valign="top" align="left">AGC &#x2013; Item 2</td>
<td valign="top" align="center">0.572</td>
<td valign="top" align="center">0.401</td>
<td valign="top" align="center">0.555</td>
<td valign="top" align="center">0.890</td>
<td valign="top" align="center">0.388</td>
<td valign="top" align="center">0.459</td>
<td valign="top" align="center">0.504</td>
<td valign="top" align="center">0.381</td>
<td valign="top" align="center">0.306</td>
<td valign="top" align="center">0.468</td>
<td valign="top" align="center">0.475</td>
</tr>
<tr>
<td valign="top" align="left">AGC &#x2013; Item 3</td>
<td valign="top" align="center">0.560</td>
<td valign="top" align="center">0.341</td>
<td valign="top" align="center">0.567</td>
<td valign="top" align="center">0.884</td>
<td valign="top" align="center">0.389</td>
<td valign="top" align="center">0.428</td>
<td valign="top" align="center">0.524</td>
<td valign="top" align="center">0.331</td>
<td valign="top" align="center">0.312</td>
<td valign="top" align="center">0.449</td>
<td valign="top" align="center">0.481</td>
</tr>
<tr>
<td valign="top" align="left">AGC &#x2013; Item 4</td>
<td valign="top" align="center">0.545</td>
<td valign="top" align="center">0.351</td>
<td valign="top" align="center">0.576</td>
<td valign="top" align="center">0.866</td>
<td valign="top" align="center">0.364</td>
<td valign="top" align="center">0.454</td>
<td valign="top" align="center">0.523</td>
<td valign="top" align="center">0.328</td>
<td valign="top" align="center">0.314</td>
<td valign="top" align="center">0.460</td>
<td valign="top" align="center">0.452</td>
</tr>
<tr>
<td valign="top" align="left">AGC &#x2013; Item 5</td>
<td valign="top" align="center">0.532</td>
<td valign="top" align="center">0.363</td>
<td valign="top" align="center">0.510</td>
<td valign="top" align="center">0.850</td>
<td valign="top" align="center">0.443</td>
<td valign="top" align="center">0.548</td>
<td valign="top" align="center">0.542</td>
<td valign="top" align="center">0.374</td>
<td valign="top" align="center">0.377</td>
<td valign="top" align="center">0.477</td>
<td valign="top" align="center">0.488</td>
</tr>
<tr>
<td valign="top" align="left">BA &#x2013; Item 1</td>
<td valign="top" align="center">0.450</td>
<td valign="top" align="center">0.449</td>
<td valign="top" align="center">0.382</td>
<td valign="top" align="center">0.486</td>
<td valign="top" align="center">0.825</td>
<td valign="top" align="center">0.582</td>
<td valign="top" align="center">0.437</td>
<td valign="top" align="center">0.472</td>
<td valign="top" align="center">0.428</td>
<td valign="top" align="center">0.467</td>
<td valign="top" align="center">0.430</td>
</tr>
<tr>
<td valign="top" align="left">BA &#x2013; Item 2</td>
<td valign="top" align="center">0.392</td>
<td valign="top" align="center">0.435</td>
<td valign="top" align="center">0.408</td>
<td valign="top" align="center">0.398</td>
<td valign="top" align="center">0.925</td>
<td valign="top" align="center">0.562</td>
<td valign="top" align="center">0.407</td>
<td valign="top" align="center">0.420</td>
<td valign="top" align="center">0.417</td>
<td valign="top" align="center">0.365</td>
<td valign="top" align="center">0.355</td>
</tr>
<tr>
<td valign="top" align="left">BA &#x2013; Item 3</td>
<td valign="top" align="center">0.384</td>
<td valign="top" align="center">0.429</td>
<td valign="top" align="center">0.424</td>
<td valign="top" align="center">0.412</td>
<td valign="top" align="center">0.934</td>
<td valign="top" align="center">0.559</td>
<td valign="top" align="center">0.381</td>
<td valign="top" align="center">0.428</td>
<td valign="top" align="center">0.432</td>
<td valign="top" align="center">0.391</td>
<td valign="top" align="center">0.355</td>
</tr>
<tr>
<td valign="top" align="left">BA &#x2013; Item 4</td>
<td valign="top" align="center">0.340</td>
<td valign="top" align="center">0.469</td>
<td valign="top" align="center">0.360</td>
<td valign="top" align="center">0.310</td>
<td valign="top" align="center">0.845</td>
<td valign="top" align="center">0.573</td>
<td valign="top" align="center">0.392</td>
<td valign="top" align="center">0.522</td>
<td valign="top" align="center">0.514</td>
<td valign="top" align="center">0.356</td>
<td valign="top" align="center">0.282</td>
</tr>
<tr>
<td valign="top" align="left">BA &#x2013; Item 5</td>
<td valign="top" align="center">0.393</td>
<td valign="top" align="center">0.413</td>
<td valign="top" align="center">0.403</td>
<td valign="top" align="center">0.402</td>
<td valign="top" align="center">0.936</td>
<td valign="top" align="center">0.562</td>
<td valign="top" align="center">0.399</td>
<td valign="top" align="center">0.446</td>
<td valign="top" align="center">0.416</td>
<td valign="top" align="center">0.387</td>
<td valign="top" align="center">0.365</td>
</tr>
<tr>
<td valign="top" align="left">BS &#x2013; Item 1</td>
<td valign="top" align="center">0.459</td>
<td valign="top" align="center">0.471</td>
<td valign="top" align="center">0.466</td>
<td valign="top" align="center">0.544</td>
<td valign="top" align="center">0.591</td>
<td valign="top" align="center">0.902</td>
<td valign="top" align="center">0.524</td>
<td valign="top" align="center">0.524</td>
<td valign="top" align="center">0.647</td>
<td valign="top" align="center">0.569</td>
<td valign="top" align="center">0.403</td>
</tr>
<tr>
<td valign="top" align="left">BS &#x2013; Item 2</td>
<td valign="top" align="center">0.452</td>
<td valign="top" align="center">0.489</td>
<td valign="top" align="center">0.444</td>
<td valign="top" align="center">0.501</td>
<td valign="top" align="center">0.598</td>
<td valign="top" align="center">0.929</td>
<td valign="top" align="center">0.517</td>
<td valign="top" align="center">0.535</td>
<td valign="top" align="center">0.627</td>
<td valign="top" align="center">0.497</td>
<td valign="top" align="center">0.394</td>
</tr>
<tr>
<td valign="top" align="left">BS &#x2013; Item 3</td>
<td valign="top" align="center">0.439</td>
<td valign="top" align="center">0.497</td>
<td valign="top" align="center">0.434</td>
<td valign="top" align="center">0.480</td>
<td valign="top" align="center">0.553</td>
<td valign="top" align="center">0.925</td>
<td valign="top" align="center">0.517</td>
<td valign="top" align="center">0.511</td>
<td valign="top" align="center">0.653</td>
<td valign="top" align="center">0.518</td>
<td valign="top" align="center">0.403</td>
</tr>
<tr>
<td valign="top" align="left">BS &#x2013; Item 4</td>
<td valign="top" align="center">0.433</td>
<td valign="top" align="center">0.472</td>
<td valign="top" align="center">0.456</td>
<td valign="top" align="center">0.477</td>
<td valign="top" align="center">0.610</td>
<td valign="top" align="center">0.949</td>
<td valign="top" align="center">0.546</td>
<td valign="top" align="center">0.545</td>
<td valign="top" align="center">0.670</td>
<td valign="top" align="center">0.533</td>
<td valign="top" align="center">0.412</td>
</tr>
<tr>
<td valign="top" align="left">BS &#x2013; Item 5</td>
<td valign="top" align="center">0.427</td>
<td valign="top" align="center">0.548</td>
<td valign="top" align="center">0.422</td>
<td valign="top" align="center">0.460</td>
<td valign="top" align="center">0.589</td>
<td valign="top" align="center">0.909</td>
<td valign="top" align="center">0.549</td>
<td valign="top" align="center">0.547</td>
<td valign="top" align="center">0.637</td>
<td valign="top" align="center">0.522</td>
<td valign="top" align="center">0.393</td>
</tr>
<tr>
<td valign="top" align="left">BL &#x2013; Item 1</td>
<td valign="top" align="center">0.490</td>
<td valign="top" align="center">0.295</td>
<td valign="top" align="center">0.425</td>
<td valign="top" align="center">0.531</td>
<td valign="top" align="center">0.437</td>
<td valign="top" align="center">0.529</td>
<td valign="top" align="center">0.928</td>
<td valign="top" align="center">0.451</td>
<td valign="top" align="center">0.387</td>
<td valign="top" align="center">0.530</td>
<td valign="top" align="center">0.502</td>
</tr>
<tr>
<td valign="top" align="left">BL &#x2013; Item 2</td>
<td valign="top" align="center">0.496</td>
<td valign="top" align="center">0.307</td>
<td valign="top" align="center">0.420</td>
<td valign="top" align="center">0.535</td>
<td valign="top" align="center">0.363</td>
<td valign="top" align="center">0.447</td>
<td valign="top" align="center">0.864</td>
<td valign="top" align="center">0.391</td>
<td valign="top" align="center">0.306</td>
<td valign="top" align="center">0.502</td>
<td valign="top" align="center">0.505</td>
</tr>
<tr>
<td valign="top" align="left">BL &#x2013; Item 3</td>
<td valign="top" align="center">0.504</td>
<td valign="top" align="center">0.294</td>
<td valign="top" align="center">0.431</td>
<td valign="top" align="center">0.550</td>
<td valign="top" align="center">0.407</td>
<td valign="top" align="center">0.571</td>
<td valign="top" align="center">0.902</td>
<td valign="top" align="center">0.478</td>
<td valign="top" align="center">0.430</td>
<td valign="top" align="center">0.554</td>
<td valign="top" align="center">0.510</td>
</tr>
<tr>
<td valign="top" align="left">BL &#x2013; Item 4</td>
<td valign="top" align="center">0.489</td>
<td valign="top" align="center">0.320</td>
<td valign="top" align="center">0.390</td>
<td valign="top" align="center">0.515</td>
<td valign="top" align="center">0.418</td>
<td valign="top" align="center">0.517</td>
<td valign="top" align="center">0.916</td>
<td valign="top" align="center">0.451</td>
<td valign="top" align="center">0.380</td>
<td valign="top" align="center">0.476</td>
<td valign="top" align="center">0.489</td>
</tr>
<tr>
<td valign="top" align="left">BL &#x2013; Item 5</td>
<td valign="top" align="center">0.519</td>
<td valign="top" align="center">0.334</td>
<td valign="top" align="center">0.425</td>
<td valign="top" align="center">0.570</td>
<td valign="top" align="center">0.437</td>
<td valign="top" align="center">0.544</td>
<td valign="top" align="center">0.930</td>
<td valign="top" align="center">0.445</td>
<td valign="top" align="center">0.394</td>
<td valign="top" align="center">0.523</td>
<td valign="top" align="center">0.502</td>
</tr>
<tr>
<td valign="top" align="left">PQ &#x2013; Item 1</td>
<td valign="top" align="center">0.338</td>
<td valign="top" align="center">0.507</td>
<td valign="top" align="center">0.312</td>
<td valign="top" align="center">0.366</td>
<td valign="top" align="center">0.482</td>
<td valign="top" align="center">0.531</td>
<td valign="top" align="center">0.439</td>
<td valign="top" align="center">0.931</td>
<td valign="top" align="center">0.560</td>
<td valign="top" align="center">0.482</td>
<td valign="top" align="center">0.386</td>
</tr>
<tr>
<td valign="top" align="left">PQ &#x2013; Item 2</td>
<td valign="top" align="center">0.352</td>
<td valign="top" align="center">0.465</td>
<td valign="top" align="center">0.305</td>
<td valign="top" align="center">0.378</td>
<td valign="top" align="center">0.445</td>
<td valign="top" align="center">0.512</td>
<td valign="top" align="center">0.415</td>
<td valign="top" align="center">0.886</td>
<td valign="top" align="center">0.539</td>
<td valign="top" align="center">0.454</td>
<td valign="top" align="center">0.393</td>
</tr>
<tr>
<td valign="top" align="left">PQ &#x2013; Item 3</td>
<td valign="top" align="center">0.363</td>
<td valign="top" align="center">0.479</td>
<td valign="top" align="center">0.349</td>
<td valign="top" align="center">0.362</td>
<td valign="top" align="center">0.476</td>
<td valign="top" align="center">0.539</td>
<td valign="top" align="center">0.466</td>
<td valign="top" align="center">0.908</td>
<td valign="top" align="center">0.562</td>
<td valign="top" align="center">0.516</td>
<td valign="top" align="center">0.443</td>
</tr>
<tr>
<td valign="top" align="left">PQ &#x2013; Item 4</td>
<td valign="top" align="center">0.347</td>
<td valign="top" align="center">0.502</td>
<td valign="top" align="center">0.335</td>
<td valign="top" align="center">0.366</td>
<td valign="top" align="center">0.481</td>
<td valign="top" align="center">0.526</td>
<td valign="top" align="center">0.457</td>
<td valign="top" align="center">0.922</td>
<td valign="top" align="center">0.550</td>
<td valign="top" align="center">0.502</td>
<td valign="top" align="center">0.424</td>
</tr>
<tr>
<td valign="top" align="left">PQ &#x2013; Item 5</td>
<td valign="top" align="center">0.374</td>
<td valign="top" align="center">0.498</td>
<td valign="top" align="center">0.330</td>
<td valign="top" align="center">0.360</td>
<td valign="top" align="center">0.463</td>
<td valign="top" align="center">0.528</td>
<td valign="top" align="center">0.452</td>
<td valign="top" align="center">0.922</td>
<td valign="top" align="center">0.561</td>
<td valign="top" align="center">0.502</td>
<td valign="top" align="center">0.424</td>
</tr>
<tr>
<td valign="top" align="left">BC &#x2013; Item 1</td>
<td valign="top" align="center">0.328</td>
<td valign="top" align="center">0.541</td>
<td valign="top" align="center">0.322</td>
<td valign="top" align="center">0.381</td>
<td valign="top" align="center">0.456</td>
<td valign="top" align="center">0.680</td>
<td valign="top" align="center">0.428</td>
<td valign="top" align="center">0.572</td>
<td valign="top" align="center">0.937</td>
<td valign="top" align="center">0.579</td>
<td valign="top" align="center">0.340</td>
</tr>
<tr>
<td valign="top" align="left">BC &#x2013; Item 2</td>
<td valign="top" align="center">0.306</td>
<td valign="top" align="center">0.485</td>
<td valign="top" align="center">0.264</td>
<td valign="top" align="center">0.329</td>
<td valign="top" align="center">0.429</td>
<td valign="top" align="center">0.635</td>
<td valign="top" align="center">0.425</td>
<td valign="top" align="center">0.559</td>
<td valign="top" align="center">0.903</td>
<td valign="top" align="center">0.556</td>
<td valign="top" align="center">0.339</td>
</tr>
<tr>
<td valign="top" align="left">BC &#x2013; Item 3</td>
<td valign="top" align="center">0.299</td>
<td valign="top" align="center">0.490</td>
<td valign="top" align="center">0.283</td>
<td valign="top" align="center">0.313</td>
<td valign="top" align="center">0.460</td>
<td valign="top" align="center">0.616</td>
<td valign="top" align="center">0.350</td>
<td valign="top" align="center">0.563</td>
<td valign="top" align="center">0.932</td>
<td valign="top" align="center">0.562</td>
<td valign="top" align="center">0.299</td>
</tr>
<tr>
<td valign="top" align="left">BC &#x2013; Item 4</td>
<td valign="top" align="center">0.267</td>
<td valign="top" align="center">0.481</td>
<td valign="top" align="center">0.295</td>
<td valign="top" align="center">0.334</td>
<td valign="top" align="center">0.439</td>
<td valign="top" align="center">0.639</td>
<td valign="top" align="center">0.352</td>
<td valign="top" align="center">0.554</td>
<td valign="top" align="center">0.946</td>
<td valign="top" align="center">0.553</td>
<td valign="top" align="center">0.298</td>
</tr>
<tr>
<td valign="top" align="left">BC &#x2013; Item 5</td>
<td valign="top" align="center">0.285</td>
<td valign="top" align="center">0.457</td>
<td valign="top" align="center">0.316</td>
<td valign="top" align="center">0.341</td>
<td valign="top" align="center">0.489</td>
<td valign="top" align="center">0.656</td>
<td valign="top" align="center">0.370</td>
<td valign="top" align="center">0.540</td>
<td valign="top" align="center">0.875</td>
<td valign="top" align="center">0.514</td>
<td valign="top" align="center">0.342</td>
</tr>
<tr>
<td valign="top" align="left">BEQ &#x2013; Item 1</td>
<td valign="top" align="center">0.478</td>
<td valign="top" align="center">0.363</td>
<td valign="top" align="center">0.487</td>
<td valign="top" align="center">0.494</td>
<td valign="top" align="center">0.406</td>
<td valign="top" align="center">0.532</td>
<td valign="top" align="center">0.487</td>
<td valign="top" align="center">0.487</td>
<td valign="top" align="center">0.558</td>
<td valign="top" align="center">0.890</td>
<td valign="top" align="center">0.470</td>
</tr>
<tr>
<td valign="top" align="left">BEQ &#x2013; Item 2</td>
<td valign="top" align="center">0.459</td>
<td valign="top" align="center">0.390</td>
<td valign="top" align="center">0.452</td>
<td valign="top" align="center">0.480</td>
<td valign="top" align="center">0.410</td>
<td valign="top" align="center">0.529</td>
<td valign="top" align="center">0.503</td>
<td valign="top" align="center">0.504</td>
<td valign="top" align="center">0.583</td>
<td valign="top" align="center">0.931</td>
<td valign="top" align="center">0.513</td>
</tr>
<tr>
<td valign="top" align="left">BEQ &#x2013; Item 3</td>
<td valign="top" align="center">0.418</td>
<td valign="top" align="center">0.412</td>
<td valign="top" align="center">0.398</td>
<td valign="top" align="center">0.437</td>
<td valign="top" align="center">0.432</td>
<td valign="top" align="center">0.493</td>
<td valign="top" align="center">0.519</td>
<td valign="top" align="center">0.499</td>
<td valign="top" align="center">0.553</td>
<td valign="top" align="center">0.901</td>
<td valign="top" align="center">0.481</td>
</tr>
<tr>
<td valign="top" align="left">BEQ &#x2013; Item 4</td>
<td valign="top" align="center">0.484</td>
<td valign="top" align="center">0.322</td>
<td valign="top" align="center">0.503</td>
<td valign="top" align="center">0.519</td>
<td valign="top" align="center">0.395</td>
<td valign="top" align="center">0.508</td>
<td valign="top" align="center">0.545</td>
<td valign="top" align="center">0.466</td>
<td valign="top" align="center">0.469</td>
<td valign="top" align="center">0.868</td>
<td valign="top" align="center">0.519</td>
</tr>
<tr>
<td valign="top" align="left">BEQ &#x2013; Item 5</td>
<td valign="top" align="center">0.437</td>
<td valign="top" align="center">0.359</td>
<td valign="top" align="center">0.425</td>
<td valign="top" align="center">0.459</td>
<td valign="top" align="center">0.366</td>
<td valign="top" align="center">0.520</td>
<td valign="top" align="center">0.516</td>
<td valign="top" align="center">0.465</td>
<td valign="top" align="center">0.546</td>
<td valign="top" align="center">0.911</td>
<td valign="top" align="center">0.504</td>
</tr>
<tr>
<td valign="top" align="left">IGC &#x2013; Item 1</td>
<td valign="top" align="center">0.556</td>
<td valign="top" align="center">0.284</td>
<td valign="top" align="center">0.511</td>
<td valign="top" align="center">0.517</td>
<td valign="top" align="center">0.385</td>
<td valign="top" align="center">0.425</td>
<td valign="top" align="center">0.546</td>
<td valign="top" align="center">0.419</td>
<td valign="top" align="center">0.332</td>
<td valign="top" align="center">0.512</td>
<td valign="top" align="center">0.937</td>
</tr>
<tr>
<td valign="top" align="left">IGC &#x2013; Item 2</td>
<td valign="top" align="center">0.581</td>
<td valign="top" align="center">0.287</td>
<td valign="top" align="center">0.538</td>
<td valign="top" align="center">0.517</td>
<td valign="top" align="center">0.394</td>
<td valign="top" align="center">0.425</td>
<td valign="top" align="center">0.506</td>
<td valign="top" align="center">0.437</td>
<td valign="top" align="center">0.363</td>
<td valign="top" align="center">0.525</td>
<td valign="top" align="center">0.900</td>
</tr>
<tr>
<td valign="top" align="left">IGC &#x2013; Item 3</td>
<td valign="top" align="center">0.528</td>
<td valign="top" align="center">0.240</td>
<td valign="top" align="center">0.505</td>
<td valign="top" align="center">0.493</td>
<td valign="top" align="center">0.373</td>
<td valign="top" align="center">0.398</td>
<td valign="top" align="center">0.520</td>
<td valign="top" align="center">0.405</td>
<td valign="top" align="center">0.302</td>
<td valign="top" align="center">0.499</td>
<td valign="top" align="center">0.936</td>
</tr>
<tr>
<td valign="top" align="left">IGC &#x2013; Item 4</td>
<td valign="top" align="center">0.522</td>
<td valign="top" align="center">0.248</td>
<td valign="top" align="center">0.502</td>
<td valign="top" align="center">0.473</td>
<td valign="top" align="center">0.378</td>
<td valign="top" align="center">0.383</td>
<td valign="top" align="center">0.490</td>
<td valign="top" align="center">0.410</td>
<td valign="top" align="center">0.297</td>
<td valign="top" align="center">0.491</td>
<td valign="top" align="center">0.932</td>
</tr>
<tr>
<td valign="top" align="left">IGC &#x2013; Item 5</td>
<td valign="top" align="center">0.551</td>
<td valign="top" align="center">0.315</td>
<td valign="top" align="center">0.506</td>
<td valign="top" align="center">0.482</td>
<td valign="top" align="center">0.391</td>
<td valign="top" align="center">0.432</td>
<td valign="top" align="center">0.538</td>
<td valign="top" align="center">0.486</td>
<td valign="top" align="center">0.356</td>
<td valign="top" align="center">0.502</td>
<td valign="top" align="center">0.914</td>
</tr>
<tr>
<td valign="top" align="left">IGC &#x2013; Item 6</td>
<td valign="top" align="center">0.523</td>
<td valign="top" align="center">0.273</td>
<td valign="top" align="center">0.494</td>
<td valign="top" align="center">0.484</td>
<td valign="top" align="center">0.317</td>
<td valign="top" align="center">0.360</td>
<td valign="top" align="center">0.460</td>
<td valign="top" align="center">0.372</td>
<td valign="top" align="center">0.297</td>
<td valign="top" align="center">0.494</td>
<td valign="top" align="center">0.910</td>
</tr>
<tr>
<td valign="top" align="left">IGC &#x2013; Item 7</td>
<td valign="top" align="center">0.539</td>
<td valign="top" align="center">0.276</td>
<td valign="top" align="center">0.495</td>
<td valign="top" align="center">0.518</td>
<td valign="top" align="center">0.383</td>
<td valign="top" align="center">0.386</td>
<td valign="top" align="center">0.510</td>
<td valign="top" align="center">0.402</td>
<td valign="top" align="center">0.323</td>
<td valign="top" align="center">0.545</td>
<td valign="top" align="center">0.933</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>(1) NFA: Need for Achievement, RTP: Risk-Taking Propensity, PRP: Proactive Personality, SLE: Self-Efficacy, ENE: Entrepreneurship Education, UNA: Uncertainty Avoidance, ENK: Entrepreneurial Knowledge, ATE: Attitude Toward Entrepreneurship, ORC: Opportunity Recognition Competency, ENIN: Entrepreneurial Intention. (2) The Italic values in the matrix above are the item loadings and others are cross-loadings.</italic></p></fn>
<fn><p><italic>Author&#x2019;s data analysis.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S4.SS3">
<title>Path Analysis</title>
<p>As shown in <xref ref-type="table" rid="T6">Table 6</xref>, the path coefficients demonstrated the coefficient value for celebrity attractiveness on consumers&#x2019; attitude toward green cosmetics (&#x03B2; = 0.345, <italic>p</italic>-Value = 0.000), which indicated that celebrity attractiveness had a significantly positive effect on consumers&#x2019; attitude toward green cosmetics. The f<sup>2</sup> value of 0.138 represented a small effect size (<xref ref-type="bibr" rid="B10">Cohen, 2013</xref>). Meanwhile, the coefficient value for celebrity trustworthiness on consumers&#x2019; attitudes toward green cosmetics (&#x03B2; = 0.117, <italic>p</italic>-Value = 0.003) indicated that celebrity trustworthiness significantly affecting consumers&#x2019; attitudes toward green cosmetics. Following that, the f<sup>2</sup> value of 0.023 showed a small effect size (<xref ref-type="bibr" rid="B10">Cohen, 2013</xref>). The coefficient value for celebrity cause fit on consumers&#x2019; attitude toward green cosmetics (&#x03B2; = 0.383, <italic>p</italic>-Value = 0.000) implied that celebrity cause fit had a significantly positive effect on consumers&#x2019; attitude toward green cosmetics. The f<sup>2</sup> value of 0.168 denoted a small media effect size (<xref ref-type="bibr" rid="B10">Cohen, 2013</xref>). Moreover, the r<sup>2</sup> value, which represented the degree to which the independent variable explained the dependent variable, amounted to 0.522, indicating that a significant proportion of 52.2% of the variation in consumers&#x2019; attitude toward green cosmetics could be represented by the level of celebrity attractiveness, celebrity trustworthiness, and celebrity cause fit (<xref ref-type="bibr" rid="B12">Hair et al., 2019</xref>). The Q<sup>2</sup> value of 0.387 indicated that consumers&#x2019; levels of celebrity attractiveness, celebrity trustworthiness, and celebrity cause fit have a large predictive relevance for their attitudes toward green cosmetics among young Chinese (<xref ref-type="bibr" rid="B10">Cohen, 2013</xref>).</p>
<table-wrap position="float" id="T6">
<label>TABLE 6</label>
<caption><p>Path coefficients.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Hypo</td>
<td/>
<td valign="top" align="center">Beta</td>
<td valign="top" align="center">CI &#x2013; Min</td>
<td valign="top" align="center">CI &#x2013; Max</td>
<td valign="top" align="center"><italic>t</italic></td>
<td valign="top" align="center"><italic>p</italic></td>
<td valign="top" align="center"><italic>r</italic><sup>2</sup></td>
<td valign="top" align="center"><italic>f</italic><sup>2</sup></td>
<td valign="top" align="center">Q<sup>2</sup></td>
<td valign="top" align="center">Decision</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="7"><bold>Factors Affecting Attitude Toward Green Cosmetics</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">H<sub>1</sub></td>
<td valign="top" align="center">CA&#x2192;AGC</td>
<td valign="top" align="center">0.345</td>
<td valign="top" align="center">0.242</td>
<td valign="top" align="center">0.442</td>
<td valign="top" align="center">5.806</td>
<td valign="top" align="center">0.000</td>
<td/>
<td valign="top" align="center">0.138</td>
<td/>
<td valign="top" align="center">Accept</td>
</tr>
<tr>
<td valign="top" align="left">H<sub>2</sub></td>
<td valign="top" align="center">CT&#x2192;AGC</td>
<td valign="top" align="center">0.117</td>
<td valign="top" align="center">0.051</td>
<td valign="top" align="center">0.192</td>
<td valign="top" align="center">2.794</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">0.522</td>
<td valign="top" align="center">0.023</td>
<td valign="top" align="center">0.387</td>
<td valign="top" align="center">Accept</td>
</tr>
<tr>
<td valign="top" align="left">H<sub>3</sub></td>
<td valign="top" align="center">CF&#x2192;AGC</td>
<td valign="top" align="center">0.383</td>
<td valign="top" align="center">0.288</td>
<td valign="top" align="center">0.472</td>
<td valign="top" align="center">6.997</td>
<td valign="top" align="center">0.000</td>
<td/>
<td valign="top" align="center">0.168</td>
<td/>
<td valign="top" align="center">Accept</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Factors Affecting Brand Equity</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">H<sub>4</sub></td>
<td valign="top" align="center">BA&#x2192;BEQ</td>
<td valign="top" align="center">0.031</td>
<td valign="top" align="center">&#x2013;0.065</td>
<td valign="top" align="center">0.137</td>
<td valign="top" align="center">0.498</td>
<td valign="top" align="center">0.310</td>
<td/>
<td valign="top" align="center">0.001</td>
<td/>
<td valign="top" align="center">Reject</td>
</tr>
<tr>
<td valign="top" align="left">H<sub>5</sub></td>
<td valign="top" align="center">BS&#x2192;BEQ</td>
<td valign="top" align="center">0.065</td>
<td valign="top" align="center">&#x2013;0.096</td>
<td valign="top" align="center">0.208</td>
<td valign="top" align="center">0.732</td>
<td valign="top" align="center">0.232</td>
<td/>
<td valign="top" align="center">0.003</td>
<td/>
<td valign="top" align="center">Reject</td>
</tr>
<tr>
<td valign="top" align="left">H<sub>6</sub></td>
<td valign="top" align="center">BL&#x2192;BEQ</td>
<td valign="top" align="center">0.318</td>
<td valign="top" align="center">0.218</td>
<td valign="top" align="center">0.431</td>
<td valign="top" align="center">5.101</td>
<td valign="top" align="center">0.000</td>
<td/>
<td valign="top" align="center">0.126</td>
<td/>
<td valign="top" align="center">Accept</td>
</tr>
<tr>
<td valign="top" align="left">H<sub>7</sub></td>
<td valign="top" align="center">PQ&#x2192;BEQ</td>
<td valign="top" align="center">0.130</td>
<td valign="top" align="center">0.007</td>
<td valign="top" align="center">0.251</td>
<td valign="top" align="center">1.663</td>
<td valign="top" align="center">0.048</td>
<td valign="top" align="center">0.500</td>
<td valign="top" align="center">0.018</td>
<td valign="top" align="center">0.400</td>
<td valign="top" align="center">Accept</td>
</tr>
<tr>
<td valign="top" align="left">H<sub>8</sub></td>
<td valign="top" align="center">BC&#x2192;BEQ</td>
<td valign="top" align="center">0.329</td>
<td valign="top" align="center">0.173</td>
<td valign="top" align="center">0.475</td>
<td valign="top" align="center">3.612</td>
<td valign="top" align="center">0.000</td>
<td/>
<td valign="top" align="center">0.097</td>
<td/>
<td valign="top" align="center">Accept</td>
</tr>
<tr>
<td valign="top" align="left" colspan="6"><bold>Factor Affecting Intention to Purchase Green Cosmetics</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">H<sub>8</sub></td>
<td valign="top" align="center">AGC&#x2192;IGC</td>
<td valign="top" align="center">0.343</td>
<td valign="top" align="center">0.245</td>
<td valign="top" align="center">0.439</td>
<td valign="top" align="center">5.903</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">0.390</td>
<td valign="top" align="center">0.138</td>
<td valign="top" align="center">0.329</td>
<td valign="top" align="center">Accept</td>
</tr>
<tr>
<td valign="top" align="left">H<sub>9</sub></td>
<td valign="top" align="center">BEQ&#x2192;IGC</td>
<td valign="top" align="center">0.371</td>
<td valign="top" align="center">0.259</td>
<td valign="top" align="center">0.463</td>
<td valign="top" align="center">6.008</td>
<td valign="top" align="center">0.000</td>
<td/>
<td valign="top" align="center">0.162</td>
<td/>
<td valign="top" align="center">Accept</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>CA: Celebrity Attractiveness, CT: Celebrity Trustworthiness, CF: Celebrity Cause Fit, AGC: Attitude Toward Green Cosmetics, BA: Brand Awareness, BS: Brand Associations, BL: Brand Loyalty, PQ: Perceived Quality, BC: Brand Credibility, BEQ: Brand Equity, IGC: Intention to Purchase Green Cosmetics.</italic></p></fn>
<fn><p><italic>Author&#x2019;s data analysis.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<p>The coefficient value for brand awareness on brand equity (&#x03B2; = 0.031, <italic>p</italic>-Value = 0.310) indicated that brand awareness had no significant impact on brand equity. The f<sup>2</sup> value of 0.001 denoted the absence of effect size and predictive relevance of brand awareness for brand equity (<xref ref-type="bibr" rid="B10">Cohen, 2013</xref>). The coefficient value for brand associations on brand equity (&#x03B2; = 0.065, <italic>p</italic>-Value = 0.232) demonstrated that brand associations had no significant effect on brand equity. Furthermore, the f<sup>2</sup> value of 0.003 suggested no effect size and brand association predictive relevance for brand equity (<xref ref-type="bibr" rid="B10">Cohen, 2013</xref>). The path coefficient value for brand loyalty on brand equity (&#x03B2; = 0.318, <italic>p</italic>-Value = 0.000) indicated that brand loyalty had a significantly positive effect on brand equity, while the f<sup>2</sup> value of 0.126 represented a small effect size (<xref ref-type="bibr" rid="B10">Cohen, 2013</xref>). The perceived quality coefficient shows a positive (&#x03B2; = 0.130, <italic>p</italic>-Value = 0.045) effect on brand equity. Moreover, the f<sup>2</sup> value of 0.018 showed a small effect size of perceived quality for brand equity (<xref ref-type="bibr" rid="B10">Cohen, 2013</xref>). The path coefficient value for brand credibility on brand equity (&#x03B2; = 0.329, <italic>p</italic>-Value = 0.00) indicated that brand credibility had a significantly positive effect on brand equity, while the f<sup>2</sup> value of 0.097 indicated a small effect size (<xref ref-type="bibr" rid="B10">Cohen, 2013</xref>). The r<sup>2</sup> value, which represented the degree of explained variance, amounted to 0.5, indicating that a significant proportion (50%) of the variation in brand equity could be illustrated through brand awareness, brand associations, brand loyalty, perceived quality, and brand credibility (<xref ref-type="bibr" rid="B12">Hair et al., 2019</xref>). On the other hand, the Q<sup>2</sup> value of 0.4 indicated high predictive relevance of brand awareness, brand associations, brand loyalty, perceived quality, and brand credibility for brand equity (<xref ref-type="bibr" rid="B10">Cohen, 2013</xref>).</p>
<p>The coefficients for attitude toward green cosmetics showed a positive effect on the intention to purchase green cosmetics (&#x03B2; = 0.343, <italic>p</italic>-Value = 0.000). The f<sup>2</sup> value of 0.138 illustrated a small to the regular effect of attitude toward green cosmetics on the intent to purchase green cosmetics (<xref ref-type="bibr" rid="B10">Cohen, 2013</xref>). The coefficient for brand equity on the intention to purchase green cosmetics (&#x03B2; = 0.371, <italic>p</italic>-Value = 0.000) indicated that brand equity had a significantly positive effect on the intention to purchase green cosmetics. The f<sup>2</sup> value of 0.162 denoted the size of the media effect (<xref ref-type="bibr" rid="B10">Cohen, 2013</xref>). Furthermore, the r<sup>2</sup> value, which represented the degree of explained variance, amounted to 0.39, indicating that a significant proportion (39%) of the variation in the intention to purchase green cosmetics was represented by the attitude toward green cosmetics and brand equity (<xref ref-type="bibr" rid="B12">Hair et al., 2019</xref>). The Q<sup>2</sup> value of 0.329 demonstrated a large predictive relevance of attitude toward green cosmetics and brand equity to purchase green cosmetics among young Chinese (<xref ref-type="bibr" rid="B10">Cohen, 2013</xref>).</p>
</sec>
<sec id="S4.SS4">
<title>Mediating Effects</title>
<p>Regarding the mediating effects of attitudes on green cosmetics and brand equity, the study presented the indirect effects and <italic>p</italic>-Values in <xref ref-type="table" rid="T7">Table 7</xref>. It was found that celebrity&#x2019;s attractiveness, trustworthiness, and cause-fit had a significantly (<italic>p</italic>-Values &#x003C; 0.05) positive indirect effect on the intention to purchase green cosmetics among young Chinese consumers, confirming the mediating effect of attitude toward green cosmetics. Furthermore, brand loyalty and brand credibility had a significant (<italic>p</italic>-Value &#x003C; 0.05) positive indirect effect on young Chinese consumers&#x2019; intention to purchase green cosmetics, confirming the mediating effect of brand equity.</p>
<table-wrap position="float" id="T7">
<label>TABLE 7</label>
<caption><p>Mediating effects.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Associations</td>
<td valign="top" align="center">Beta</td>
<td valign="top" align="center">CI &#x2013; Min</td>
<td valign="top" align="center">CI &#x2013; Max</td>
<td valign="top" align="center"><italic>T</italic></td>
<td valign="top" align="center"><italic>p</italic></td>
<td valign="top" align="center">Decision</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="4"><bold>Mediating effect of Attitude Toward Green Cosmetics</bold></td>
<td valign="top" align="left"/><td valign="top" align="left"/><td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">CA&#x2192;AGC&#x2192;IGC</td>
<td valign="top" align="center">0.118</td>
<td valign="top" align="center">0.069</td>
<td valign="top" align="center">0.175</td>
<td valign="top" align="center">3.594</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">Accept</td>
</tr>
<tr>
<td valign="top" align="left">CT&#x2192;AGC&#x2192;IGC</td>
<td valign="top" align="center">0.040</td>
<td valign="top" align="center">0.019</td>
<td valign="top" align="center">0.069</td>
<td valign="top" align="center">2.658</td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="center">Accept</td>
</tr>
<tr>
<td valign="top" align="left">CF&#x2192;AGC&#x2192;IGC</td>
<td valign="top" align="center">0.131</td>
<td valign="top" align="center">0.087</td>
<td valign="top" align="center">0.179</td>
<td valign="top" align="center">4.760</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">Accept</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Mediating effect of Brand Equity</bold></td>
<td valign="top" align="left"/><td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">BA&#x2192;BEQ&#x2192;IGC</td>
<td valign="top" align="center">0.012</td>
<td valign="top" align="center">&#x2013;0.027</td>
<td valign="top" align="center">0.050</td>
<td valign="top" align="center">0.494</td>
<td valign="top" align="center">0.311</td>
<td valign="top" align="center">Reject</td>
</tr>
<tr>
<td valign="top" align="left">BS&#x2192;BEQ&#x2192;IGC</td>
<td valign="top" align="center">0.024</td>
<td valign="top" align="center">&#x2013;0.036</td>
<td valign="top" align="center">0.078</td>
<td valign="top" align="center">0.729</td>
<td valign="top" align="center">0.233</td>
<td valign="top" align="center">Reject</td>
</tr>
<tr>
<td valign="top" align="left">BL&#x2192;BEQ&#x2192;IGC</td>
<td valign="top" align="center">0.118</td>
<td valign="top" align="center">0.069</td>
<td valign="top" align="center">0.178</td>
<td valign="top" align="center">3.486</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">Accept</td>
</tr>
<tr>
<td valign="top" align="left">PQ&#x2192;BEQ&#x2192;IGC</td>
<td valign="top" align="center">0.048</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">0.098</td>
<td valign="top" align="center">1.597</td>
<td valign="top" align="center">0.055</td>
<td valign="top" align="center">Reject</td>
</tr>
<tr>
<td valign="top" align="left">BC&#x2192;BEQ&#x2192;IGC</td>
<td valign="top" align="center">0.122</td>
<td valign="top" align="center">0.063</td>
<td valign="top" align="center">0.189</td>
<td valign="top" align="center">3.162</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">Accept</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>CA: Celebrity Attractiveness, CT: Celebrity Trustworthiness, CF: Celebrity Cause Fit, AGC: Attitude Toward Green Cosmetics, BA: Brand Awareness, BS: Brand Associations, BL: Brand Loyalty, PQ: Perceived Quality, BC: Brand Credibility, BEQ: Brand Equity, IGC: Intention to Purchase Green Cosmetics.</italic></p></fn>
<fn><p><italic>Author&#x2019;s data analysis.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S4.SS5">
<title>Predictive Assessment</title>
<p>The predictive power of the model was estimated with the PLS<sub><italic>Predict</italic></sub>. The assessment established the performance of the PLS model with new predictive observations. It was found that the paths exhibited high predictive relevance as the Q<sup>2</sup><sub><italic>predict</italic></sub> value was above 0 and 0.3 (<xref ref-type="bibr" rid="B43">Shumeli et al., 2019</xref>). The study assessed the predictive power based on comparing root mean squared error (RMSE) values from the PLS-SEM analysis and the LM benchmark. As presented in <xref ref-type="table" rid="T8">Table 8</xref>, the study model possessed high predictive power (<xref ref-type="bibr" rid="B43">Shumeli et al., 2019</xref>).</p>
<table-wrap position="float" id="T8">
<label>TABLE 8</label>
<caption><p>Predictive model assessment.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center">Q<sup>2</sup><sub><italic>Predict</italic></sub></td>
<td valign="top" align="center">RMSE (PLS-SEM)</td>
<td valign="top" align="center">RMSE (LM)</td>
<td valign="top" align="center">Difference</td>
<td valign="top" align="center">Predictive Power</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">AGC &#x2013; Item 1</td>
<td valign="top" align="center">0.447</td>
<td valign="top" align="center">0.791</td>
<td valign="top" align="center">0.826</td>
<td valign="top" align="center">&#x2013;0.034</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">AGC &#x2013; Item 2</td>
<td valign="top" align="center">0.389</td>
<td valign="top" align="center">0.788</td>
<td valign="top" align="center">0.812</td>
<td valign="top" align="center">&#x2013;0.024</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">AGC &#x2013; Item 3</td>
<td valign="top" align="center">0.377</td>
<td valign="top" align="center">0.815</td>
<td valign="top" align="center">0.865</td>
<td valign="top" align="center">&#x2013;0.050</td>
<td valign="top" align="center">High Predictive Power</td>
</tr>
<tr>
<td valign="top" align="left">AGC &#x2013; Item 4</td>
<td valign="top" align="center">0.378</td>
<td valign="top" align="center">0.792</td>
<td valign="top" align="center">0.833</td>
<td valign="top" align="center">&#x2013;0.042</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">AGC &#x2013; Item 5</td>
<td valign="top" align="center">0.328</td>
<td valign="top" align="center">0.870</td>
<td valign="top" align="center">0.850</td>
<td valign="top" align="center">0.019</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">BEQ &#x2013; Item 1</td>
<td valign="top" align="center">0.381</td>
<td valign="top" align="center">0.782</td>
<td valign="top" align="center">0.819</td>
<td valign="top" align="center">&#x2013;0.036</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">BEQ &#x2013; Item 2</td>
<td valign="top" align="center">0.407</td>
<td valign="top" align="center">0.801</td>
<td valign="top" align="center">0.843</td>
<td valign="top" align="center">&#x2013;0.042</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">BEQ &#x2013; Item 3</td>
<td valign="top" align="center">0.395</td>
<td valign="top" align="center">0.778</td>
<td valign="top" align="center">0.826</td>
<td valign="top" align="center">&#x2013;0.048</td>
<td valign="top" align="center">High Predictive Power</td>
</tr>
<tr>
<td valign="top" align="left">BEQ &#x2013; Item 4</td>
<td valign="top" align="center">0.356</td>
<td valign="top" align="center">0.832</td>
<td valign="top" align="center">0.871</td>
<td valign="top" align="center">&#x2013;0.039</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">BEQ &#x2013; Item 5</td>
<td valign="top" align="center">0.381</td>
<td valign="top" align="center">0.837</td>
<td valign="top" align="center">0.881</td>
<td valign="top" align="center">&#x2013;0.044</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">IGC &#x2013; Item 2</td>
<td valign="top" align="center">0.344</td>
<td valign="top" align="center">0.859</td>
<td valign="top" align="center">0.871</td>
<td valign="top" align="center">&#x2013;0.012</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">IGC &#x2013; Item 3</td>
<td valign="top" align="center">0.349</td>
<td valign="top" align="center">0.867</td>
<td valign="top" align="center">0.896</td>
<td valign="top" align="center">&#x2013;0.029</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">IGC &#x2013; Item 4</td>
<td valign="top" align="center">0.317</td>
<td valign="top" align="center">0.912</td>
<td valign="top" align="center">0.982</td>
<td valign="top" align="center">&#x2013;0.071</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">IGC &#x2013; Item 5</td>
<td valign="top" align="center">0.307</td>
<td valign="top" align="center">0.897</td>
<td valign="top" align="center">0.936</td>
<td valign="top" align="center">&#x2013;0.039</td>
<td valign="top" align="center">High Predictive Power</td>
</tr>
<tr>
<td valign="top" align="left">IGC &#x2013; Item 6</td>
<td valign="top" align="center">0.350</td>
<td valign="top" align="center">0.861</td>
<td valign="top" align="center">0.891</td>
<td valign="top" align="center">&#x2013;0.029</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">IGC &#x2013; Item 7</td>
<td valign="top" align="center">0.293</td>
<td valign="top" align="center">0.879</td>
<td valign="top" align="center">0.898</td>
<td valign="top" align="center">&#x2013;0.018</td>
<td valign="top" align="left"/></tr>
<tr>
<td valign="top" align="left">IGC &#x2013; Item 2</td>
<td valign="top" align="center">0.320</td>
<td valign="top" align="center">0.911</td>
<td valign="top" align="center">0.971</td>
<td valign="top" align="center">&#x2013;0.060</td>
<td valign="top" align="left"/></tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>AGC: Attitude Toward Green Cosmetics, BA: Brand Awareness, BS: Brand Associations, BL: Brand Loyalty, PQ: Perceived Quality, BC: Brand Credibility, BEQ: Brand Equity, IGC: Intention to Purchase Green Cosmetics, MAE: Mean Absolute Error, RMSE: Root Mean Squared Error, PLS-SEM: Partial Least Squares &#x2013; Structural Equation Modeling, LM: Linear Regression Model.</italic></p></fn>
<fn><p><italic>Author&#x2019;s data analysis.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="S5" sec-type="discussion">
<title>Discussion</title>
<p>The study confirmed the impact of celebrity endorsement and brand equity on young Chinese intention to buy green cosmetics. The influence of three dimensions of celebrity endorsement (celebrity attractiveness, celebrity trustworthiness, and celebrity cause fit) on consumers&#x2019; buying attitude and five dimensions of brand equity (brand awareness, brand credibility, brand associations, perceived quality, and brand loyalty) on green brands were examined. According to the research results, celebrity attractiveness, celebrity trustworthiness, and celebrity cause fit had significant positive effects on consumers&#x2019; attitudes toward green cosmetics in the dimension of celebrity endorsement, which was in line with the research results expressed by <xref ref-type="bibr" rid="B47">Thamaraiselvan et al. (2017)</xref>. It was supported by the current study results where celebrity cause fit had the most substantial impact on consumer attitudes, which was in line with <xref ref-type="bibr" rid="B1">Akturan&#x2019;s (2018)</xref> results that green product attributes affect green brand equity. The research results demonstrated that brand loyalty, brand credibility, and perceived quality had significant positive effects on brand equity for green cosmetics products among the Chinese youth. However, the study depicts that brand awareness and association did not significantly influence consumer brand equity. The study finding suggests that the low brand awareness among the study respondents leads to insignificant consumers&#x2019; level of brand equity. Our study finding matches the result postulated by <xref ref-type="bibr" rid="B47">Thamaraiselvan et al. (2017)</xref> that low consumer awareness cannot nurture brand equity among consumers. Furthermore, the brand association for Chinese consumers was not much built and unable to significantly instigates brand equity. The current finding contradicts the result posted by <xref ref-type="bibr" rid="B46">Tantawi and Sadek (2019)</xref>, that the new fashion brand takes time to recall by the consumers and consumers unable to remember or cognize the brand. Therefore, the green cosmetic brand&#x2019;s brand awareness was low and yielded low brand equity.</p>
<p>In addition, according to the data analysis, it was believed that consumers&#x2019; attitude toward green products has a significant positive impact on purchasing intention, which was consistent with the research findings postulated by <xref ref-type="bibr" rid="B47">Thamaraiselvan et al. (2017)</xref>. Although brand equity had a significant positive effect on purchase intention, this argument was in line with the research conclusion drawn by <xref ref-type="bibr" rid="B27">Nam et al. (2017)</xref>.</p>
<p>The mediating effect results demonstrated that celebrity attractiveness and celebrity cause fit had a significant positive impact on the intention of young Chinese consumers. Consumer&#x2019;s attitude toward green cosmetics indicated that the purchasing attitude, as an intermediate variable, plays a particular mediating role between celebrity endorsement and purchase intention. Besides, green brand equity plays an intermediary role in brand loyalty and brand credibility. From the perspective of importance, consumers&#x2019; attitudes toward green cosmetics and green brand equity have the most significant impact on purchase intention, proving the positive impact of consumers&#x2019; attitudes and brand equity. In this study, the influence factors of celebrity endorsement and brand equity were combined to determine young Chinese consumers&#x2019; influence on their intention to buy green cosmetics, which further extended the previous research conclusions drawn with the new research results.</p>
</sec>
<sec id="S6">
<title>Implications</title>
<p>Compared to the previous research theories, most of the studies only independently verified the impact of celebrity endorsement on purchase intention or independently verified the dimension of brand equity. The current study combined two significant celebrity endorsement and brand equity factors and targeted young consumers in the Chinese market who purchased green cosmetics as the research object. The influence of celebrity endorsement (celebrity attractiveness, celebrity trustworthiness, and celebrity cause fit) and green brand equity (brand awareness, brand credibility, brand associations, perceived quality, and brand loyalty) on the intention to buy green cosmetics was investigated. The following research results were recorded by setting the theoretical framework, presenting the hypotheses, and conducting data analysis. Celebrity attractiveness, celebrity trustworthiness, and celebrity cause fit significantly influenced consumers&#x2019; treatment of green cosmetics. Brand credibility, perceived quality, and brand loyalty significantly impacted green brand equity. Besides, celebrity attractiveness, celebrity cause fit, brand credibility, and brand loyalty significantly influenced buying green cosmetics under the influence of the two intermediary variables of purchase attitude and brand equity. These results enriched the literature on the purchase intention of green cosmetics and assisted in continuing other studies on the purchase intention of green consumer goods.</p>
<p>The results of this study also offered practical implications for brand owners. Brand owners could improve green cosmetics sales from the following aspects. Specifically, attractive celebrities, and celebrities&#x2019; suitability with the product image could be targeted (<xref ref-type="bibr" rid="B4">Arora et al., 2019</xref>). This type of celebrity endorsement creates more publicity effects for consumers to attract consumers&#x2019; attention and promote the sales of green cosmetics through celebrity endorsement advertising. On the other hand, green cosmetic enterprises should pay attention to improving brand loyalty and credibility (<xref ref-type="bibr" rid="B6">Beatson et al., 2020</xref>). According to the current study, upon purchasing products by consumers, the majority of them would be affected by brand loyalty and credibility. Therefore, the brand should improve customer satisfaction and form customer loyalty while continuously building an honest and trustworthy corporate image. However, false propaganda to deceive consumers is not a proper method to promote sales faster and improve brand value and corporate assets.</p>
</sec>
<sec id="S7" sec-type="conclusion">
<title>Conclusion</title>
<p>This study aims to verify the influence of celebrity endorsement and brand equity on the intention of young Chinese to buy green cosmetics. It was found that celebrity attractiveness, celebrity cause fit, brand credibility, and brand loyalty significantly impacted purchase intention. This study presented a specific guiding significance in theory and practice. A theoretical model is established from an academic perspective by organizing various literature and synthesizing other research conclusions. The research results were obtained, providing a theoretical basis for the subsequent research on other purchase intentions for green consumer goods. From the perspective of practice, the investigation, and analysis of the market offer guidance and suggestions for green cosmetics enterprises to improve brand competitiveness and sales.</p>
<p>Certain limitations were present in this study as it mainly investigated the Chinese market, with the interviewees primarily originated from the north of China. When the conclusion of this study should be drawn in a broader scope, the research scope and replication studies should be performed in different cities to obtain more accurate results. Last but not least, following the principle of caution when interpreting this study&#x2019;s results is essential. Besides, researching different countries or regions may lead to different results of this study.</p>
</sec>
<sec id="S8" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="DS1">Supplementary Material</xref>, further inquiries can be directed to the corresponding author/s.</p>
</sec>
<sec id="S9">
<title>Ethics Statement</title>
<p>Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="S10">
<title>Author Contributions</title>
<p>ZL, NH, QY, and AS did the conceptualization, performed the methodology, collected the data, and wrote the original draft. AM and MA performed the methodology (instrument), carried out the data analysis and wrote, edited, and revised the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="pudiscl1" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<sec id="S11" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpsyg.2022.860177/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpsyg.2022.860177/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.CSV" id="DS1" mimetype="text/csv" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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