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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.2021.792686</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>Research and Prospect Analysis of Sports Consumption Willingness Based on Public Health Emergencies</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Ziyuan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1511462/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Guo</surname> <given-names>Rui</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Jia</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Dong</surname> <given-names>Fan</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Shi</surname> <given-names>Yang</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Cai</surname> <given-names>Qi</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>School of Economics and Management, China University of Geosciences</institution>, <addr-line>Wuhan</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>School of Physical Education, China University of Geosciences</institution>, <addr-line>Wuhan</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>School of Science, Minzu University of China</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>School of Foreign Languages, China University of Geosciences</institution>, <addr-line>Wuhan</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Alexandre Garcia-Mas, University of the Balearic Islands, Spain</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Juan A. Castillo-M, Rosario University, Colombia; Li Wang, University-Town Hospital of Chongqing Medical University, China</p></fn>
<corresp id="c001">&#x002A;Correspondence: Rui Guo, <email>ruiguo@cug.edu.cn</email></corresp>
<corresp id="c002">Fan Dong, <email>dong3165@126.com</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Movement Science and Sport Psychology, a section of the journal Frontiers in Psychology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>31</day>
<month>01</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>792686</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>10</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>12</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2022 Liu, Guo, Liu, Dong, Shi and Cai.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Liu, Guo, Liu, Dong, Shi and Cai</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>In 2020, the sudden outbreak of coronavirus disease 2019 (COVID-19) has had a great impact on the health and life of people all over the world, and the sports industry is facing unprecedented challenges due to its participation and strong clustering. Based on the questionnaire survey, literature analysis, and other research methods, this study introduces the stimulus-organism-response (SOR) theory, takes the sports and consumption of Kunshan citizens as the research subject, and draws lessons from the structural equation model (SEM) to build a theoretical model of sports consumption characteristics and future consumption willingness. The results of empirical analysis show that physical sports consumption has been greatly affected by the epidemic, but because people realize the importance of sports, the willingness of residents to consume sports increases, and the venue and other factors affect the ornamental and participating sports consumption willingness decreases. At the same time, the restrictive factors, such as lower educational background, increased age, and lack of time, make the sports consumption willingness of this characteristic group significantly lower than that of other citizens. This study puts forward some suggestions for relevant government departments to improve the sports consumption willingness of citizens. In order to expand the development prospect of sports industry from a long-term perspective, it can provide reference for the development of sports consumption.</p>
</abstract>
<kwd-group>
<kwd>novel coronavirus</kwd>
<kwd>characteristics of sports consumption</kwd>
<kwd>structural equation model</kwd>
<kwd>consumption intention</kwd>
<kwd>SOR</kwd>
</kwd-group>
<counts>
<fig-count count="7"/>
<table-count count="15"/>
<equation-count count="2"/>
<ref-count count="35"/>
<page-count count="13"/>
<word-count count="7063"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>In December 2019, patients with unexplained pneumonia appeared in some medical institutions in Wuhan. On 12 January 2020, was named by the World Health Organization (WHO) as a 2019 novel coronavirus. Faced with this unexpected situation, various industries in the world are facing different degrees of impact and blow, including the sports industry. Affected by the pneumonia epidemic in coronavirus disease 2019 (COVID-19), many important sports events were canceled or delayed (<xref ref-type="bibr" rid="B17">Mingzhi et al., 2020</xref>). How to face this challenge clearly and rationally, how to get through the temporary difficult period smoothly, and how to turn disadvantages into advantages soon after the outbreak is over will become an urgent problem for enterprises in relevant departments.</p>
<p>The wide spread of the fitness video of Academician Zhong Nanshan has aroused the desire and demand of people for physical fitness. Since February 2020, the State Sports General Administration has held a videoconference on the prevention and control of the epidemic situation in the national sports system and the key sports work in 2020 (<xref ref-type="bibr" rid="B26">State Physical Cultural Administration, 2020a</xref>,<xref ref-type="bibr" rid="B27">b</xref>), and sports enterprises all over the country have issued policies to resume work and resume production. In the long run, the sports consumption market has broad prospects for development, and sports consumption will usher in explosive growth. At present, there are minimal researches on the sports consumption willingness of residents during the epidemic period, and there is still room for further research in this field. On the basis of sorting out the literature on sports consumption characteristics, participation, and willingness to spend, this study explores the influence mechanism of the sports consumption characteristics of residents on the sports consumption willingness under the epidemic based on the psychology stimulus-organism-response (SOR) theory, uses the software SPSS 20.0 and AMOS 22.0 to build the structural equation modeling (SEM), and makes an empirical analysis on the data from the questionnaire survey of Kunshan residents, hoping to provide practical value for sports industry-related enterprises.</p>
</sec>
<sec id="S2">
<title>Review of Related Literature</title>
<sec id="S2.SS1">
<title>Sports Response to the Epidemic-Related Research Brief</title>
<p>The sudden pneumonia epidemic has made the spread and prevention of the virus become the focus of academic and social attention. Various studies have also shown that enhancing immunity is the foundation of fighting viruses. People began to realize the importance of sports, and it has gradually become a public consensus to enhance physical exercise and improve their immunity. <xref ref-type="bibr" rid="B10">Jianwen and Aihong (2021)</xref> pointed out that the health value of physical exercise is coming back. The novel coronavirus epidemic is similar to severe acute respiratory syndrome (SARS). <xref ref-type="bibr" rid="B34">Yalun et al. (2020)</xref> believed that according to the judgment of the SARS situation, the awareness of people on physical exercise and consumption behavior have been significantly improved after the epidemic. <xref ref-type="bibr" rid="B19">Qiyuan (2020)</xref> found that various sports events and sports performances were canceled or postponed, and gyms and other stadiums were closed, with a negative impact on household sports consumption and sports market in the short term, while bringing new development opportunities to the sports industry by affecting consumer concepts in the long run. <xref ref-type="bibr" rid="B12">Jun and Xiangyang (2021)</xref> proposed that the sports industry is an important part of the modern service industry, and finding solutions and strategies to the sports consumption dilemma is crucial to the recovery of the sports industry.</p>
<p>Through the search, it is found that study in the field of sports under the novel coronavirus epidemic mainly concentrates on &#x201C;physical exercise,&#x201D; &#x201C;school physical education,&#x201D; &#x201C;sports consumption,&#x201D; &#x201C;health awareness,&#x201D; and &#x201C;sports psychology&#x201D; but less supported by the actual data. This study makes an empirical analysis of the data from the survey of Kunshan residents in order to have practical value.</p>
</sec>
<sec id="S2.SS2">
<title>Overview of Stimulus-Organism-Response Theory</title>
<p>The SOR theory is proposed by the environmental scientists Mehrabian and Russell to explore the influence of external environmental stimuli on individual cognition, emotion, behavior, and physical response. <xref ref-type="bibr" rid="B14">Man and Xiangzhi (2020)</xref> noted that S (Stimulus) refers to external factors affecting individuals, O (Organism) refers to the internal state of a person, including sensory, emotional, and cognitive behavior, and R (Response) is the behavioral decision of the organism by integrating external environmental stimuli and internal psychological attitude. Stimuli and responses are connected through a series of intrinsic variables of the organism, which is widely applied to a systematic analysis of human behavioral intentions by focusing on the intrinsic emotional and cognitive factors of people.</p>
<p>Combining the research of previous scholars, <xref ref-type="bibr" rid="B13">Lei and Xiaoqiang (2021)</xref> pointed out that the SOR models have been widely used in the study of consumer behavior; <xref ref-type="bibr" rid="B22">Russell and Mehrabian (1999)</xref> and <xref ref-type="bibr" rid="B15">Mattila and Wirtz (2001)</xref> indicate that consumers develop cognitive, emotional, and physical responses to external stimuli, and these reactions comprehensively affect the actual behavior of consumers; At the same time, <xref ref-type="bibr" rid="B16">Mei et al. (2021)</xref> pointed out that the SOR model is an important theoretical perspective to study consumer behavior. Therefore, we believed that the SOR framework model provides a very suitable research perspective and a solid theoretical foundation for the study of sports consumption willingness under the epidemic situation. This study uses the pneumonia epidemic as an external environment S, the public internal cognitive and emotional behavior changes as O, and the future sports consumption willingness as R. It makes up for the lack of interdisciplinary integration research between sports, consumer behavior, and psychology.</p>
</sec>
<sec id="S2.SS3">
<title>Overview of Structural Equation Models</title>
<p>The SEM can not only deal with the causal relationship between measurable variables but also construct multiple &#x201C;latent variables&#x201D; by factor analysis, and it can discuss the complex relationship between latent variables or between latent variables and measurable variables. SEM provides the possibility to measure highly abstract and difficult variables. Due to the abovementioned advantages, SEM shows the uniqueness that other analysis methods do not have, and it is widely used by researchers.</p>
<p><xref ref-type="bibr" rid="B1">Chunming et al. (2021)</xref> discussed the impact of the changes in the behavior demand of the Chinese consumers on the perception of various dimensions of the indicators of the sports industry marketing strategy under the normalization of the epidemic; <xref ref-type="bibr" rid="B32">Weiti and Ke (2021)</xref> used the SEM to identify and evaluate risk factors in large sports events; <xref ref-type="bibr" rid="B4">Dongabe (2020)</xref> used SEM to discuss the influence of exercise time and behavior control on the improvement of the physical fitness of students. <xref ref-type="bibr" rid="B9">Huiqin (2018)</xref> used the SEM to discuss the influence of external exercise support, subjective norms, perceptual value, behavior control, and other factors on the exercise willingness of middle school students in Yangzhou; <xref ref-type="bibr" rid="B3">Daoli (2018)</xref> used SEM to explore the influence of sports involvement on conspicuous sports consumption; <xref ref-type="bibr" rid="B6">Haiyan (2015)</xref> used SEM to explore the impact of sports events on urban tourism. This study uses SEM to study the impact of sports consumption characteristics on the sports consumption willingness of residents under epidemic.</p>
</sec>
<sec id="S2.SS4">
<title>Independent Variable &#x201C;Sports Consumption Characteristics&#x201D; and Dependent Variable &#x201C;Sports Consumption Willingness&#x201D; and Related Research</title>
<p>Sports consumption refers to all personal consumption behaviors related to sports. <xref ref-type="bibr" rid="B31">Wei and Hongchao (2005)</xref> believed that the types of sports consumption are divided into three categories, namely, physical, ornamental, and participatory, according to the different ways and functions of sports consumption. <xref ref-type="bibr" rid="B18">Mullet and Karson (1985)</xref> noted in the study that consumption willingness is the psychological motivation and position, namely, that willingness to consume sports reflects the possibility that consumers are willing to consume sports-related products or services.</p>
<p><xref ref-type="bibr" rid="B17">Mingzhi et al. (2020)</xref> analyzed the consumption status of different sports consumption characteristics in China under the epidemic. The physical sports consumption of various physical consumption materials was significantly reduced in response to the epidemic prevention and control situation, but at the same time, the online sports purchase increased, especially for home sports equipment. The ornamental sports consumption of the public buying tickets to watch sports events, sports exhibitions, and sports performances is due to the increased risk of personnel gathering and the delay or cancelation of many sports activities. Participatory sports consumption represented by sports fitness, sports tourism, and sports training has been negatively and significantly affected by the epidemic. Different consumption characteristics under the epidemic situation have a significant impact on consumption willingness. Therefore, the following assumptions are put forward:</p>
<list list-type="simple">
<list-item><p>Hypothesis 1: The characteristics of physical sports consumption positively affect sports consumption willingness under the epidemic.</p>
</list-item>
<list-item><p>Hypothesis 2: The characteristics of participatory sports consumption negatively affect sports consumption willingness under the epidemic.</p>
</list-item>
<list-item><p>Hypothesis 3: The characteristics of ornamental consumption negatively affect sports consumption willingness under the epidemic.</p>
</list-item>
</list>
</sec>
<sec id="S2.SS5">
<title>Intermediate Variable &#x201C;Sports Involvement&#x201D; and Related Research</title>
<p>The significance of introducing intermediary variable research is to help explain the relationship mechanism between the independent variable and the dependent variable. Participation represents an intrinsic mental state variable, and <xref ref-type="bibr" rid="B5">Flynn and Goldsmith (1993)</xref> proposed that engagement reflects the high perception and consumption motivation of products or services in a specific environment; <xref ref-type="bibr" rid="B33">Xiaosong and Jihai (2009)</xref> believed that engagement has become an important factor on consumer psychological activity and purchase decisions, and <xref ref-type="bibr" rid="B2">Dan (2015)</xref> noted that the impact of consumer involvement on repeated purchases has been demonstrated by many scholars. Therefore, this study introduces the intermediary variable of involvement degree.</p>
<p>The essential difference between sports consumption and other types of consumption lies in &#x201C;sports.&#x201D; Therefore, when choosing variables, sports elements are essential. Related concepts include sports level, sports consciousness, sports participation, sports habits, and so on. These concepts have a direct impact on the strength of sports consumption consciousness. <xref ref-type="bibr" rid="B30">Wei (2011)</xref> introduced consumer involvement into the research of ornamental sports consumers; <xref ref-type="bibr" rid="B3">Daoli (2018)</xref> used sports involvement as an intermediary variable to verify that sports involvement has a positive impact on conspicuous sports consumption. Combined with the questionnaire, this study sets the measurement indexes of sports involvement, including sports intensity, time, and frequency. <xref ref-type="bibr" rid="B23">Schiffman and Kanuk (2000)</xref> thought that the purchase intention of consumers is the subjective tendency of consumers to consume a certain product, which is closely related to their behavior. Therefore, the following assumptions are put forward:</p>
<list list-type="simple">
<list-item><p>Hypothesis 4: Physical sports consumption positively affects participation under the epidemic.</p>
</list-item>
<list-item><p>Hypothesis 5: Participatory sports consumption negatively affects participation under the epidemic.</p>
</list-item>
<list-item><p>Hypothesis 6: Ornamental sports consumption negatively affects participation during the epidemic.</p>
</list-item>
<list-item><p>Hypothesis 7: Sports involvement plays an intermediary role between consumption characteristics and consumption expenditure willingness, and involvement positively affects future sports consumption expenditure willingness.</p>
</list-item>
</list>
</sec>
</sec>
<sec id="S3">
<title>Research on the Overall Situation of Sports Consumption</title>
<sec id="S3.SS1">
<title>Sample Situation</title>
<p>In consideration of economy and rationality, this study adopts the methods of field investigation, questionnaire (electronic questionnaire and paper questionnaire), interview, and mathematical statistics.</p>
<p>The questionnaire has been collected for more than 1 year, and the respondents are 6,853 Kunshan citizens from 11 government agencies, 53 companies and enterprises, 6 schools, and 37 communities in 3 districts and 8 towns of Kunshan City. A total of 6,220 questionnaires were collected, 585 invalid questionnaires with incomplete answers and non-Kunshan residents were excluded, and the remaining valid questionnaires were 5,635, with an effective rate of 90.5%.</p>
</sec>
<sec id="S3.SS2">
<title>Variable Selection</title>
<p>We divided the characteristics of independent variable sports consumption into three dimensions: physical consumption, ornamental consumption and participatory consumption, took the involvement as the intermediary variable and the future sports consumption willingness expenditure as the dependent variables, and selected the corresponding observation variables, as shown in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Measurement dimensions and observation variables.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Dimension</td>
<td valign="top" align="left">Number</td>
<td valign="top" align="left">Observed variables</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Physical consumption</td>
<td valign="top" align="left">SE1</td>
<td valign="top" align="left">Sportswear, shoes, and hats</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">SE2</td>
<td valign="top" align="left">Fitness equipment, apparatus, and accessories</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">SE3</td>
<td valign="top" align="left">Outdoor sports and leisure products (such as tents, sleeping bags, etc.)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">SE4</td>
<td valign="top" align="left">Books, newspapers, magazines, audio-visual products</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">SE5</td>
<td valign="top" align="left">Mobile intelligent wearable devices (such as sports bracelet, sports watch, etc.)</td>
</tr>
<tr>
<td valign="top" align="left">Ornamental consumption</td>
<td valign="top" align="left">FE1</td>
<td valign="top" align="left">Tickets, transportation, accommodation and other expenses for watching sports games on site</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">FE2</td>
<td valign="top" align="left">Tickets for sports performances and transportation, accommodation and other expenses</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">FE3</td>
<td valign="top" align="left">Tickets, transportation, accommodation and other expenses for on-site Sports Exhibition</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">FE4</td>
<td valign="top" align="left">Cost of watching sports events on site and obtaining sports information (such as membership)</td>
</tr>
<tr>
<td valign="top" align="left">Participatory consumption</td>
<td valign="top" align="left">AE1</td>
<td valign="top" align="left">Daily fitness online training, offline membership card fees</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">AE2</td>
<td valign="top" align="left">Outdoor sports and sports tourism consumption</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">AE3</td>
<td valign="top" align="left">Medical consumption of physical rehabilitation (mainly refers to the cost of sports injury protection)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">AE4</td>
<td valign="top" align="left">Online sports consumption (such as sports app, online marathon, E-sports)</td>
</tr>
<tr>
<td valign="top" align="left">Involvement</td>
<td valign="top" align="left">CS1</td>
<td valign="top" align="left">Frequency of physical exercise</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">CS2</td>
<td valign="top" align="left">Time for physical exercise each time</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">CS3</td>
<td valign="top" align="left">The intensity of each physical exercise</td>
</tr>
<tr>
<td valign="top" align="left">Willingness of sports consumption in the future</td>
<td valign="top" align="left">RP1</td>
<td valign="top" align="left">Your total expenditure of sports consumption in the future</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">RP2</td>
<td valign="top" align="left">Expenses for buying sports lottery</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">RP3</td>
<td valign="top" align="left">Expenditure on sports training (such as tennis training) for minor children</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="S3.SS3">
<title>Analysis of the Basic Situation of Sports Consumption of Kunshan Citizens</title>
<p>Based on the information and data obtained from the questionnaire, 5,635 valid data were collected, and the basic information of the samples is shown in <xref ref-type="table" rid="T2">Table 2</xref>.</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Basic information of survey samples.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left" colspan="2">Variable</td>
<td valign="top" align="center">Number (<italic>N</italic> = 5,635)</td>
<td valign="top" align="center">Frequency</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">2,742</td>
<td valign="top" align="center">48.66%</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">2,893</td>
<td valign="top" align="center">51.34%</td>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="left">Under 20</td>
<td valign="top" align="center">48</td>
<td valign="top" align="center">0.85%</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">20&#x2013;39</td>
<td valign="top" align="center">3,338</td>
<td valign="top" align="center">59.24%</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">40&#x2013;59</td>
<td valign="top" align="center">1,895</td>
<td valign="top" align="center">33.63%</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">60 and above</td>
<td valign="top" align="center">354</td>
<td valign="top" align="center">6.28%</td>
</tr>
<tr>
<td valign="top" align="left">Education</td>
<td valign="top" align="left">Junior high school and below</td>
<td valign="top" align="center">1,187</td>
<td valign="top" align="center">21.06%</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">High school</td>
<td valign="top" align="center">1,343</td>
<td valign="top" align="center">23.83%</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Bachelor</td>
<td valign="top" align="center">2,973</td>
<td valign="top" align="center">52.76%</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Master degree or above</td>
<td valign="top" align="center">132</td>
<td valign="top" align="center">2.34%</td>
</tr>
<tr>
<td valign="top" align="left">Occupation</td>
<td valign="top" align="left">Party and government officials</td>
<td valign="top" align="center">310</td>
<td valign="top" align="center">5.50%</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Enterprise staff</td>
<td valign="top" align="center">1,296</td>
<td valign="top" align="center">23.00%</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Enterprise management and technical personnel</td>
<td valign="top" align="center">369</td>
<td valign="top" align="center">6.55%</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Professional and technical personnel of public institutions</td>
<td valign="top" align="center">1,513</td>
<td valign="top" align="center">26.85%</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Individual businesses</td>
<td valign="top" align="center">162</td>
<td valign="top" align="center">2.87%</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Retired personnel</td>
<td valign="top" align="center">430</td>
<td valign="top" align="center">7.63%</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Student</td>
<td valign="top" align="center">79</td>
<td valign="top" align="center">1.41%</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Other</td>
<td valign="top" align="center">1,476</td>
<td valign="top" align="center">26.19%</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The survey results (<xref ref-type="fig" rid="F1">Figure 1</xref>) show that during the epidemic period, Kunshan residents chose running, walking, cycling, and badminton the most. These data are consistent with the statistical results of the &#x201C;National Fitness Program (2011&#x2013;2015)&#x201D; issued by the State Sports General Administration, which shows that physical exercise for the purpose of fighting against the &#x201C;COVID-19 epidemic&#x201D; has less to do with the selection of sports events.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Sports that the respondents often participate in.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-12-792686-g001.tif"/>
</fig>
<p>As shown in <xref ref-type="fig" rid="F2">Figure 2</xref> among them, students prefer running (16%), badminton (14%), and cycling (14%). Public servants of party and government organs prefer running (17%) and hiking (16%). Retired people basically choose to walk (24%), run (23%), and square dance (19%). Enterprises and individuals choose running (21%) and hiking (18%).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Pie chart of sports events attended by residents of different occupations. <bold>(A)</bold> Students and civil servants of party and government organs. <bold>(B)</bold> Retirees, enterprises, and individuals.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-12-792686-g002.tif"/>
</fig>
<p>As shown in <xref ref-type="fig" rid="F3">Figure 3</xref>, during the epidemic period, first, most residents spent sports to keep fit. Second, it is due to personal interests, healthcare, and exercise of will. It can be noted from this that the epidemic situation has made people deeply realize the importance of physical exercise to enhance their physical fitness, and physical exercise has become a voluntary lifestyle. This is consistent with <xref ref-type="bibr" rid="B29">Wei and Chaoyang (2003)</xref>.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Sports consumption motivation of respondents.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-12-792686-g003.tif"/>
</fig>
</sec>
<sec id="S3.SS4">
<title>Difference Analysis Under Different Conditions</title>
<sec id="S3.SS4.SSS1">
<title>Independent Sample <italic>t</italic>-Test Under the Variable of &#x201C;Gender&#x201D;</title>
<p>As shown in <xref ref-type="table" rid="T3">Table 3</xref>, there are significant differences in scores of variables among residents of different genders. Men are significantly higher than women in terms of time and energy input in operation and willingness to spend sports consumption. This is consistent with the conclusion described by <xref ref-type="bibr" rid="B24">Shanping and Yunbing (2008)</xref>.</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>Independent sample <italic>t</italic>-test of gender differences.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Variable</td>
<td valign="top" align="center">Male (<italic>N</italic> = 2,742)</td>
<td valign="top" align="center">Female (<italic>N</italic> = 2,893)</td>
<td valign="top" align="center"><italic>T</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">CS</td>
<td valign="top" align="center">2.450</td>
<td valign="top" align="center">2.281</td>
<td valign="top" align="center">10.877<xref ref-type="table-fn" rid="t3fns2">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">SE</td>
<td valign="top" align="center">1.721</td>
<td valign="top" align="center">1.603</td>
<td valign="top" align="center">5.860<xref ref-type="table-fn" rid="t3fns2">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">AE</td>
<td valign="top" align="center">1.706</td>
<td valign="top" align="center">1.600</td>
<td valign="top" align="center">5.116<xref ref-type="table-fn" rid="t3fns2">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">FE</td>
<td valign="top" align="center">1.439</td>
<td valign="top" align="center">1.268</td>
<td valign="top" align="center">9.747<xref ref-type="table-fn" rid="t3fns2">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">RP</td>
<td valign="top" align="center">2.356</td>
<td valign="top" align="center">2.178</td>
<td valign="top" align="center">8.972<xref ref-type="table-fn" rid="t3fns2">&#x002A;&#x002A;</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t3fns2"><p><italic>&#x002A;&#x002A;Represents p-value &#x003C; 0.05.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS4.SSS2">
<title>Single-Factor Variance Analysis of &#x201C;Marital Status&#x201D;</title>
<p>As shown in <xref ref-type="table" rid="T4">Table 4</xref>, married residents with two children pay less attention to and invest in sports than those without children.</p>
<table-wrap position="float" id="T4">
<label>TABLE 4</label>
<caption><p>ANOVA test of &#x201C;marital status&#x201D; in each factor.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Marital status</td>
<td valign="top" align="center" colspan="2">CS<hr/></td>
<td valign="top" align="center" colspan="2">SE<hr/></td>
<td valign="top" align="center" colspan="2">AE<hr/></td>
<td valign="top" align="center" colspan="2">FE<hr/></td>
<td valign="top" align="center" colspan="2">RP<hr/></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Mean</td>
<td valign="top" align="left">SD</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="left">SD</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="left">SD</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="left">SD</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="left">SD</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Unmarried</td>
<td valign="top" align="left">2.449</td>
<td valign="top" align="left">0.591</td>
<td valign="top" align="left">1.688</td>
<td valign="top" align="left">0.727</td>
<td valign="top" align="left">1.716</td>
<td valign="top" align="left">0.764</td>
<td valign="top" align="left">1.371</td>
<td valign="top" align="left">0.650</td>
<td valign="top" align="left">2.036</td>
<td valign="top" align="left">0.628</td>
</tr>
<tr>
<td valign="top" align="left">Without children</td>
<td valign="top" align="left">2.406</td>
<td valign="top" align="left">0.562</td>
<td valign="top" align="left">1.723</td>
<td valign="top" align="left">0.764</td>
<td valign="top" align="left">1.803</td>
<td valign="top" align="left">0.818</td>
<td valign="top" align="left">1.449</td>
<td valign="top" align="left">0.775</td>
<td valign="top" align="left">2.026</td>
<td valign="top" align="left">0.657</td>
</tr>
<tr>
<td valign="top" align="left">One child</td>
<td valign="top" align="left">2.355</td>
<td valign="top" align="left">0.583</td>
<td valign="top" align="left">1.639</td>
<td valign="top" align="left">0.745</td>
<td valign="top" align="left">1.617</td>
<td valign="top" align="left">0.758</td>
<td valign="top" align="left">1.325</td>
<td valign="top" align="left">0.629</td>
<td valign="top" align="left">2.296</td>
<td valign="top" align="left">0.755</td>
</tr>
<tr>
<td valign="top" align="left">Two children</td>
<td valign="top" align="left">2.310</td>
<td valign="top" align="left">0.608</td>
<td valign="top" align="left">1.692</td>
<td valign="top" align="left">0.787</td>
<td valign="top" align="left">1.660</td>
<td valign="top" align="left">0.822</td>
<td valign="top" align="left">1.376</td>
<td valign="top" align="left">0.696</td>
<td valign="top" align="left">2.420</td>
<td valign="top" align="left">0.771</td>
</tr>
<tr>
<td valign="top" align="left">Other</td>
<td valign="top" align="left">2.386</td>
<td valign="top" align="left">0.624</td>
<td valign="top" align="left">1.540</td>
<td valign="top" align="left">0.838</td>
<td valign="top" align="left">1.616</td>
<td valign="top" align="left">0.887</td>
<td valign="top" align="left">1.399</td>
<td valign="top" align="left">0.817</td>
<td valign="top" align="left">2.168</td>
<td valign="top" align="left">0.895</td>
</tr>
<tr>
<td valign="top" align="left">F</td>
<td valign="top" align="left" colspan="2">7.122<xref ref-type="table-fn" rid="t4fns2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="left" colspan="2">2.693<xref ref-type="table-fn" rid="t4fns2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="left" colspan="2">6.417<xref ref-type="table-fn" rid="t4fns2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="left" colspan="2">3.904<xref ref-type="table-fn" rid="t4fns2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="left" colspan="2">42.619<xref ref-type="table-fn" rid="t4fns2">&#x002A;&#x002A;</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t4fns2"><p><italic>&#x002A;&#x002A;Represents p-value &#x003C; 0.05.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS4.SSS3">
<title>One-Way Analysis of Variance of &#x201C;Age&#x201D;</title>
<p>On the whole, with the increase of age, sports consumption will gradually decline. This shows that compared with the elderly, young people have a stronger sense of sports consumption, participate in more diversified sports, and are willing to spend money on them. However, the elderly are more willing to use simple and easy ways to satisfy their motivation to keep fit. All are shown in <xref ref-type="table" rid="T5">Table 5</xref>.</p>
<table-wrap position="float" id="T5">
<label>TABLE 5</label>
<caption><p>ANOVA test of age in each factor.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center" colspan="2">CS<hr/></td>
<td valign="top" align="center" colspan="2">SE<hr/></td>
<td valign="top" align="center" colspan="2">AE<hr/></td>
<td valign="top" align="center" colspan="2">FE<hr/></td>
<td valign="top" align="center" colspan="2">RP<hr/></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Mean</td>
<td valign="top" align="left">SD</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="left">SD</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="left">SD</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="left">SD</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="left">SD</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Under 20</td>
<td valign="top" align="left">2.651</td>
<td valign="top" align="left">0.614</td>
<td valign="top" align="left">1.844</td>
<td valign="top" align="left">0.989</td>
<td valign="top" align="left">1.714</td>
<td valign="top" align="left">0.878</td>
<td valign="top" align="left">1.615</td>
<td valign="top" align="left">0.933</td>
<td valign="top" align="left">2.163</td>
<td valign="top" align="left">0.755</td>
</tr>
<tr>
<td valign="top" align="left">20&#x2013;39</td>
<td valign="top" align="left">2.307</td>
<td valign="top" align="left">0.570</td>
<td valign="top" align="left">1.768</td>
<td valign="top" align="left">0.754</td>
<td valign="top" align="left">1.765</td>
<td valign="top" align="left">0.798</td>
<td valign="top" align="left">1.391</td>
<td valign="top" align="left">0.686</td>
<td valign="top" align="left">2.284</td>
<td valign="top" align="left">0.745</td>
</tr>
<tr>
<td valign="top" align="left">40&#x2013;59</td>
<td valign="top" align="left">2.420</td>
<td valign="top" align="left">0.590</td>
<td valign="top" align="left">1.557</td>
<td valign="top" align="left">0.750</td>
<td valign="top" align="left">1.540</td>
<td valign="top" align="left">0.751</td>
<td valign="top" align="left">1.324</td>
<td valign="top" align="left">0.641</td>
<td valign="top" align="left">2.280</td>
<td valign="top" align="left">0.765</td>
</tr>
<tr>
<td valign="top" align="left">60 and above</td>
<td valign="top" align="left">2.543</td>
<td valign="top" align="left">0.689</td>
<td valign="top" align="left">1.173</td>
<td valign="top" align="left">0.384</td>
<td valign="top" align="left">1.170</td>
<td valign="top" align="left">0.379</td>
<td valign="top" align="left">1.085</td>
<td valign="top" align="left">0.296</td>
<td valign="top" align="left">2.011</td>
<td valign="top" align="left">0.663</td>
</tr>
<tr>
<td valign="top" align="left">F</td>
<td valign="top" align="left" colspan="2">31.071<xref ref-type="table-fn" rid="t5fns2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="left" colspan="2">88.748<xref ref-type="table-fn" rid="t5fns2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="left" colspan="2">85.183<xref ref-type="table-fn" rid="t5fns2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="left" colspan="2">27.239<xref ref-type="table-fn" rid="t5fns2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="left" colspan="2">14.878<xref ref-type="table-fn" rid="t5fns2">&#x002A;&#x002A;</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t5fns2"><p><italic>&#x002A;&#x002A;Represents p-value &#x003C; 0.05.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS4.SSS4">
<title>Single-Factor Variance Analysis of &#x201C;Educational Background&#x201D; and &#x201C;Monthly Income&#x201D;</title>
<p>There is a positive relationship between educational level and economic income (<xref ref-type="bibr" rid="B7">Hong and Yang, 2014</xref>). Residents with higher educational level usually have higher and more stable economic income, which is shown in <xref ref-type="table" rid="T6">Table 6</xref>. At the same time, they have a more comprehensive and profound understanding of sports consumption, so their willingness to consume sports is stronger.</p>
<table-wrap position="float" id="T6">
<label>TABLE 6A</label>
<caption><p>ANOVA test of &#x201C;education background&#x201D; on each factor.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left" colspan="11">A</td>
</tr>
<tr>
<td valign="top" colspan="11"><hr/></td>
</tr>
<tr>
<td valign="top" align="left">Education</td>
<td valign="top" align="center" colspan="2">CS<hr/></td>
<td valign="top" align="center" colspan="2">SE<hr/></td>
<td valign="top" align="center" colspan="2">AE<hr/></td>
<td valign="top" align="center" colspan="2">FE<hr/></td>
<td valign="top" align="center" colspan="2">RP<hr/></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Mean</td>
<td valign="top" align="left">SD</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="left">SD</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="left">SD</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="left">SD</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="left">SD</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Junior high school and below</td>
<td valign="top" align="left">2.004</td>
<td valign="top" align="left">0.468</td>
<td valign="top" align="left">1.274</td>
<td valign="top" align="left">0.518</td>
<td valign="top" align="left">1.279</td>
<td valign="top" align="left">0.538</td>
<td valign="top" align="left">1.173</td>
<td valign="top" align="left">0.442</td>
<td valign="top" align="left">2.006</td>
<td valign="top" align="left">0.661</td>
</tr>
<tr>
<td valign="top" align="left">High school</td>
<td valign="top" align="left">2.387</td>
<td valign="top" align="left">0.579</td>
<td valign="top" align="left">1.644</td>
<td valign="top" align="left">0.705</td>
<td valign="top" align="left">1.619</td>
<td valign="top" align="left">0.735</td>
<td valign="top" align="left">1.407</td>
<td valign="top" align="left">0.678</td>
<td valign="top" align="left">2.355</td>
<td valign="top" align="left">0.74</td>
</tr>
<tr>
<td valign="top" align="left">Bachelor</td>
<td valign="top" align="left">2.333</td>
<td valign="top" align="left">0.561</td>
<td valign="top" align="left">1.798</td>
<td valign="top" align="left">0.779</td>
<td valign="top" align="left">1.794</td>
<td valign="top" align="left">0.817</td>
<td valign="top" align="left">1.381</td>
<td valign="top" align="left">0.691</td>
<td valign="top" align="left">2.316</td>
<td valign="top" align="left">0.757</td>
</tr>
<tr>
<td valign="top" align="left">Master degree or above</td>
<td valign="top" align="left">2.431</td>
<td valign="top" align="left">0.552</td>
<td valign="top" align="left">2.189</td>
<td valign="top" align="left">1.063</td>
<td valign="top" align="left">2.123</td>
<td valign="top" align="left">0.962</td>
<td valign="top" align="left">1.699</td>
<td valign="top" align="left">0.989</td>
<td valign="top" align="left">2.505</td>
<td valign="top" align="left">0.886</td>
</tr>
<tr>
<td valign="top" align="left">F</td>
<td valign="top" align="left" colspan="2">5.761<xref ref-type="table-fn" rid="t6fns2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="left" colspan="2">173.363<xref ref-type="table-fn" rid="t6fns2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="left" colspan="2">151.232<xref ref-type="table-fn" rid="t6fns2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="left" colspan="2">47.300<xref ref-type="table-fn" rid="t6fns2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="left" colspan="2">64.908<xref ref-type="table-fn" rid="t6fns2">&#x002A;&#x002A;</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t6fns2"><p><italic>&#x002A;&#x002A;Represents p-value &#x003C; 0.05.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T6b">
<label>TABLE 6B</label>
<caption><p>ANOVA test of &#x201C;monthly income&#x201D; on various factors.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left" colspan="11">B</td>
</tr>
<tr>
<td valign="top" colspan="11"><hr/></td>
</tr>
<tr>
<td valign="top" align="left">Monthly household income</td>
<td valign="top" align="center" colspan="2">CS<hr/></td>
<td valign="top" align="center" colspan="2">SE<hr/></td>
<td valign="top" align="center" colspan="2">AE<hr/></td>
<td valign="top" align="center" colspan="2">FE<hr/></td>
<td valign="top" align="center" colspan="2">RP<hr/></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Mean</td>
<td valign="top" align="left">SD</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="left">SD</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="left">SD</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="left">SD</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="left">SD</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Under 6,000</td>
<td valign="top" align="left">2.406</td>
<td valign="top" align="left">0.642</td>
<td valign="top" align="left">1.411</td>
<td valign="top" align="left">0.61</td>
<td valign="top" align="left">1.4</td>
<td valign="top" align="left">0.62</td>
<td valign="top" align="left">1.236</td>
<td valign="top" align="left">0.493</td>
<td valign="top" align="left">2.037</td>
<td valign="top" align="left">0.681</td>
</tr>
<tr>
<td valign="top" align="left">6,001&#x2013;10,000</td>
<td valign="top" align="left">2.305</td>
<td valign="top" align="left">0.581</td>
<td valign="top" align="left">1.597</td>
<td valign="top" align="left">0.689</td>
<td valign="top" align="left">1.579</td>
<td valign="top" align="left">0.734</td>
<td valign="top" align="left">1.326</td>
<td valign="top" align="left">0.628</td>
<td valign="top" align="left">2.236</td>
<td valign="top" align="left">0.713</td>
</tr>
<tr>
<td valign="top" align="left">10,001&#x2013;16,000</td>
<td valign="top" align="left">2.345</td>
<td valign="top" align="left">0.561</td>
<td valign="top" align="left">1.779</td>
<td valign="top" align="left">0.744</td>
<td valign="top" align="left">1.768</td>
<td valign="top" align="left">0.769</td>
<td valign="top" align="left">1.37</td>
<td valign="top" align="left">0.645</td>
<td valign="top" align="left">2.368</td>
<td valign="top" align="left">0.75</td>
</tr>
<tr>
<td valign="top" align="left">16,001&#x2013;20,000</td>
<td valign="top" align="left">2.429</td>
<td valign="top" align="left">0.526</td>
<td valign="top" align="left">1.813</td>
<td valign="top" align="left">0.785</td>
<td valign="top" align="left">1.831</td>
<td valign="top" align="left">0.79</td>
<td valign="top" align="left">1.41</td>
<td valign="top" align="left">0.684</td>
<td valign="top" align="left">2.482</td>
<td valign="top" align="left">0.762</td>
</tr>
<tr>
<td valign="top" align="left">20,001&#x2013;26,000</td>
<td valign="top" align="left">2.454</td>
<td valign="top" align="left">0.553</td>
<td valign="top" align="left">2.086</td>
<td valign="top" align="left">0.966</td>
<td valign="top" align="left">2.061</td>
<td valign="top" align="left">0.979</td>
<td valign="top" align="left">1.634</td>
<td valign="top" align="left">1.002</td>
<td valign="top" align="left">2.514</td>
<td valign="top" align="left">0.833</td>
</tr>
<tr>
<td valign="top" align="left">26,000 above</td>
<td valign="top" align="left">2.427</td>
<td valign="top" align="left">0.576</td>
<td valign="top" align="left">2.241</td>
<td valign="top" align="left">1.018</td>
<td valign="top" align="left">2.314</td>
<td valign="top" align="left">1.016</td>
<td valign="top" align="left">1.733</td>
<td valign="top" align="left">1.03</td>
<td valign="top" align="left">2.653</td>
<td valign="top" align="left">0.849</td>
</tr>
<tr>
<td valign="top" align="left">F</td>
<td valign="top" align="left" colspan="2">8.246<xref ref-type="table-fn" rid="t7fns2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="left" colspan="2">99.540<xref ref-type="table-fn" rid="t7fns2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="left" colspan="2">103.124<xref ref-type="table-fn" rid="t7fns2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="left" colspan="2">37.811<xref ref-type="table-fn" rid="t7fns2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="left" colspan="2">62.152<xref ref-type="table-fn" rid="t7fns2">&#x002A;&#x002A;</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t7fns2"><p><italic>&#x002A;&#x002A;Represents p-value &#x003C; 0.05.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
</sec>
<sec id="S4">
<title>Research on the Influence Mechanism of Sports Consumption</title>
<p>This &#x201C;Research on the influence mechanism of sports consumption&#x201D; section mainly analyzes the collected sample data with the help of data analysis software SPSS 20.0 and AMOS 22.0. The specific analysis process is as follows:</p>
<sec id="S4.SS1">
<title>Reliability Test of Scale</title>
<p>In this study, the stability and reliability of the scale were tested by using the corrected item-total correlation (CITC) coefficient and Cronbach&#x2019;s &#x03B1; value. Cronbach&#x2019;s &#x03B1; value of the Consumer Consumption Characteristics Scale (<xref ref-type="table" rid="T7">Table 7</xref>), Involvement Scale, and Consumer Willingness to Spend Future Sports Consumption Scale (<xref ref-type="table" rid="T8">Table 8</xref>) are all higher than the minimum standard value of 0.60, which indicates that the scales have good reliability.</p>
<table-wrap position="float" id="T7">
<label>TABLE 7</label>
<caption><p>Reliability analysis of the consumer consumption characteristics scale.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left" colspan="2">Dimensions</td>
<td valign="top" align="center">CITC</td>
<td valign="top" align="center">Item deleted Cronbach&#x2019;s &#x03B1;</td>
<td valign="top" align="center">Cronbach&#x2019;s &#x03B1;</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Physical type</td>
<td valign="top" align="center">SE1</td>
<td valign="top" align="center">0.429</td>
<td valign="top" align="center">0.889</td>
<td valign="top" align="center">0.889</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">SE2</td>
<td valign="top" align="center">0.583</td>
<td valign="top" align="center">0.882</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">SE3</td>
<td valign="top" align="center">0.622</td>
<td valign="top" align="center">0.879</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">SE4</td>
<td valign="top" align="center">0.599</td>
<td valign="top" align="center">0.880</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">SE5</td>
<td valign="top" align="center">0.606</td>
<td valign="top" align="center">0.880</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Participatory</td>
<td valign="top" align="center">AE1</td>
<td valign="top" align="center">0.527</td>
<td valign="top" align="center">0.886</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">AE2</td>
<td valign="top" align="center">0.559</td>
<td valign="top" align="center">0.884</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">AE3</td>
<td valign="top" align="center">0.595</td>
<td valign="top" align="center">0.881</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">AE4</td>
<td valign="top" align="center">0.611</td>
<td valign="top" align="center">0.880</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Ornamental type</td>
<td valign="top" align="center">FE1</td>
<td valign="top" align="center">0.636</td>
<td valign="top" align="center">0.879</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">FE2</td>
<td valign="top" align="center">0.685</td>
<td valign="top" align="center">0.877</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">FE3</td>
<td valign="top" align="center">0.680</td>
<td valign="top" align="center">0.877</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center">FE4</td>
<td valign="top" align="center">0.611</td>
<td valign="top" align="center">0.881</td>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="T8">
<label>TABLE 8</label>
<caption><p>Reliability analysis.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Variable</td>
<td valign="top" align="center">Measurement items</td>
<td valign="top" align="center">CITC</td>
<td valign="top" align="center">Item deleted Cronbach&#x2019;s &#x03B1;</td>
<td valign="top" align="center">Cronbach&#x2019;s &#x03B1;</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Involvement</td>
<td valign="top" align="center">CS1</td>
<td valign="top" align="center">0.443</td>
<td valign="top" align="center">0.663</td>
<td valign="top" align="center">0.659</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">CS2</td>
<td valign="top" align="center">0.400</td>
<td valign="top" align="center">0.664</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">CS3</td>
<td valign="top" align="center">0.689</td>
<td valign="top" align="center">0.401</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Consumers&#x2019; willingness to spend on Sports in the future</td>
<td valign="top" align="center">RP1</td>
<td valign="top" align="center">0.490</td>
<td valign="top" align="center">0.479</td>
<td valign="top" align="center">0.614</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">RP2</td>
<td valign="top" align="center">0.447</td>
<td valign="top" align="center">0.561</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">RP3</td>
<td valign="top" align="center">0.467</td>
<td valign="top" align="center">0.503</td>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<p>In the Consumer Consumption Characteristic Scale, the CITC value of SE1 is less than 0.5, so consider eliminating it. After SE1 is eliminated, Cronbach&#x2019;s &#x03B1; value cannot be significantly improved if any of the remaining 12 measurement items are eliminated. As a result, the questionnaire formed by retaining the remaining 12 measurement items is more accurate.</p>
</sec>
<sec id="S4.SS2">
<title>Validity Test of Scale</title>
<sec id="S4.SS2.SSS1">
<title>Exploratory Factor Analysis</title>
<sec id="S4.SS2.SSS1.Px1">
<title>Kaiser-Meyer-Olkin and Bartlett Spherical Test</title>
<p>The value of Kaiser-Meyer-Olkin (KMO) was 0.929, and the Bartlett sphere test was significant (Chi-Square = 29728.823, <italic>p</italic> &#x003C; 0.001). It can be noted that the assumption of independence of each variable is not valid, and the data are suitable for exploratory factor analysis (EFA).</p>
</sec>
<sec id="S4.SS2.SSS1.Px2">
<title>Principal Component Extraction</title>
<p>It can be noted from the broken stone diagram (<xref ref-type="fig" rid="F4">Figure 4</xref>) that the broken line tends to be flat after component 3 and then drops sharply before it, indicating that it is more appropriate to extract the 12 topics of consumer consumption characteristics as three factors.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>Gravel map.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-12-792686-g004.tif"/>
</fig>
<p>As shown in <xref ref-type="table" rid="T9">Table 9</xref>, a total of 3 factors were extracted from 12 topics of consumer consumption characteristics, and the cumulative variance contribution rate was 63.18%, which was more than 60%, and the interpretation degree was ideal.</p>
<table-wrap position="float" id="T9">
<label>TABLE 9</label>
<caption><p>Total variance explained by each component.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Ingredients</td>
<td valign="top" align="center" colspan="3">Initial eigenvalue<hr/></td>
<td valign="top" align="center" colspan="3">Extract sum of squares load<hr/></td>
<td valign="top" align="center" colspan="3">Rotation sum of squares loading<hr/></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Total</td>
<td valign="top" align="center">Variance</td>
<td valign="top" align="center">Accumulate</td>
<td valign="top" align="center">Total</td>
<td valign="top" align="center">Variance</td>
<td valign="top" align="center">Accumulate</td>
<td valign="top" align="center">Total</td>
<td valign="top" align="center">Variance</td>
<td valign="top" align="center">Accumulate</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="center">5.679</td>
<td valign="top" align="center">47.325</td>
<td valign="top" align="center">47.325</td>
<td valign="top" align="center">5.679</td>
<td valign="top" align="center">47.325</td>
<td valign="top" align="center">47.325</td>
<td valign="top" align="center">3.126</td>
<td valign="top" align="center">26.047</td>
<td valign="top" align="center">26.047</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="center">1.207</td>
<td valign="top" align="center">10.057</td>
<td valign="top" align="center">57.382</td>
<td valign="top" align="center">1.207</td>
<td valign="top" align="center">10.057</td>
<td valign="top" align="center">57.382</td>
<td valign="top" align="center">2.894</td>
<td valign="top" align="center">24.116</td>
<td valign="top" align="center">50.163</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="center">0.696</td>
<td valign="top" align="center">5.798</td>
<td valign="top" align="center">63.180</td>
<td valign="top" align="center">0.696</td>
<td valign="top" align="center">5.798</td>
<td valign="top" align="center">63.180</td>
<td valign="top" align="center">1.562</td>
<td valign="top" align="center">13.018</td>
<td valign="top" align="center">63.180</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="center">0.668</td>
<td valign="top" align="center">5.568</td>
<td valign="top" align="center">68.748</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="center">0.646</td>
<td valign="top" align="center">5.385</td>
<td valign="top" align="center">74.133</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="center">0.592</td>
<td valign="top" align="center">4.933</td>
<td valign="top" align="center">79.066</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="center">0.547</td>
<td valign="top" align="center">4.556</td>
<td valign="top" align="center">83.622</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="center">0.519</td>
<td valign="top" align="center">4.324</td>
<td valign="top" align="center">87.946</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="center">0.472</td>
<td valign="top" align="center">3.936</td>
<td valign="top" align="center">91.882</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="center">0.404</td>
<td valign="top" align="center">3.365</td>
<td valign="top" align="center">95.247</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">11</td>
<td valign="top" align="center">0.350</td>
<td valign="top" align="center">2.916</td>
<td valign="top" align="center">98.163</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">12</td>
<td valign="top" align="center">0.220</td>
<td valign="top" align="center">1.837</td>
<td valign="top" align="center">100.000</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<sec id="S4.SS3">
<title>Direct Impact Effect Test</title>
<p>The SEM is adopted for path analysis and inspection, and the established model is shown in <xref ref-type="fig" rid="F6">Figure 6</xref>. The fitting index of this model is as follows: (2/<italic>df</italic> = 23.532; RMSEA = 0.063, less than 0.08). The values of NFI, IFI, goodness of fit index (GFI), and CFI are all greater than 0.90. Overall, the model fits well.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption><p>Structural equation model (SEM) of confirmatory factor analysis (CFA) of consumption characteristics (standardized).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-12-792686-g005.tif"/>
</fig>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption><p>Structural equation model (SEM) (standardization) of the influence of consumption characteristics on future sports expenditure willingness.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-12-792686-g006.tif"/>
</fig>
<sec id="S4.SS4">
<title>Mediating Effect Test of Consumer Involvement</title>
<p>Using the Bootstrap Plug-in Process to analyze complex models is a widely used method in recent fields such as psychology and organizational behavior. <xref ref-type="bibr" rid="B20">Rui and Yuhuang (2013)</xref> and <xref ref-type="bibr" rid="B21">Rui et al. (2014)</xref> introduced its principle and application in detail.</p>
<p>In the path coefficient test of SEM, the p-value represents the significance of mutual influence between paths. If the upper limit and the lower limit of the CI have the same sign <italic>(i.</italic>e., zero is not included), the mediating effect is significant. From <xref ref-type="table" rid="T14">Table 14</xref>, it can be noted that the degree of involvement has a significant mediating effect in the influence of consumer consumption characteristics on future consumption expenditure intention.</p>
<p>With the involvement degree as an intermediate variable (<xref ref-type="fig" rid="F7">Figure 7</xref>, <xref ref-type="table" rid="T15">Table 15</xref>), the model (2/<italic>df</italic>) decreased by 5.125, RMSEA decreased by 0.007, and NFI, IFI, GFI, CFI, and other indicators reached ideal values, which were very close to 1. Therefore, compared with the original model, the modified model is more effective and has a higher fitting degree.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption><p>Structural equation model (SEM) (standardized) for the mediating effect test of involvement degree.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-12-792686-g007.tif"/>
</fig>
</sec></sec>
</sec>
</sec>
<sec id="S4.SS2.SSS2">
<title>Confirmatory Factor Analysis</title>
<p>Confirmatory factor analysis (CFA) usually selects factor load, mean average variance extraction (AVE), and portfolio reliability (CR) as test marks. In this study, <xref ref-type="bibr" rid="B11">Jietai (2004)</xref>, and <xref ref-type="bibr" rid="B35">Zhonglin and Jietai (2004)</xref> are selected as the criteria for judging each verification index. AVE:</p>
<disp-formula id="S4.E1"><label>(1)</label><mml:math id="M1"><mml:mrow><mml:mi>AVE</mml:mi><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:mo largeop="true" symmetric="true">&#x2211;</mml:mo><mml:msup><mml:mo>&#x03BB;</mml:mo><mml:mn>2</mml:mn></mml:msup></mml:mrow><mml:mrow><mml:mrow><mml:mo largeop="true" symmetric="true">&#x2211;</mml:mo><mml:msup><mml:mo>&#x03BB;</mml:mo><mml:mn>2</mml:mn></mml:msup></mml:mrow><mml:mo>+</mml:mo><mml:mrow><mml:mo largeop="true" symmetric="true">&#x2211;</mml:mo><mml:mi mathvariant="normal">&#x03B8;</mml:mi></mml:mrow></mml:mrow></mml:mfrac></mml:mrow></mml:math></disp-formula>
<p>The formula of combination reliability (CR) is as follows:</p>
<disp-formula id="S4.E2"><label>(2)</label><mml:math id="M2"><mml:mrow><mml:mi>CR</mml:mi><mml:mo>=</mml:mo><mml:mfrac><mml:msup><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:mo largeop="true" symmetric="true">&#x2211;</mml:mo><mml:mi mathvariant="normal">&#x03BB;</mml:mi></mml:mrow><mml:mo>)</mml:mo></mml:mrow><mml:mn>2</mml:mn></mml:msup><mml:mrow><mml:msup><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:mo largeop="true" symmetric="true">&#x2211;</mml:mo><mml:mi mathvariant="normal">&#x03BB;</mml:mi></mml:mrow><mml:mo>)</mml:mo></mml:mrow><mml:mn>2</mml:mn></mml:msup><mml:mo>+</mml:mo><mml:mrow><mml:mo largeop="true" symmetric="true">&#x2211;</mml:mo><mml:mi mathvariant="normal">&#x03B8;</mml:mi></mml:mrow></mml:mrow></mml:mfrac></mml:mrow></mml:math></disp-formula>
<p>where &#x03BB; is the normalized factor load and &#x03B8; is the error variance of the observed variable (&#x03B8; = 1&#x2212;&#x03BB;2).</p>
<p>(1) Consumer consumption characteristics</p>
<p>(1) Structural validity</p>
<p>The model was established in <xref ref-type="fig" rid="F5">Figure 5</xref>. In <xref ref-type="table" rid="T10">Table 10</xref>, 2/<italic>df</italic> is less than 3; root-mean-square error of approximation (RMSEA) value is 0.068, less than 0.08. The values of normed fit index (NFI), incremental fit index (IFI), TLI, and comparative fit index (CFI) are all greater than 0.90. On the whole, the model of consumer consumption characteristics has good adaptability.</p>
<table-wrap position="float" id="T10">
<label>TABLE 10</label>
<caption><p>Overall fitting coefficient table.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">X2/<italic>df</italic></td>
<td valign="top" align="center">RMSEA</td>
<td valign="top" align="center">NFI</td>
<td valign="top" align="center">IFI</td>
<td valign="top" align="center">TLI</td>
<td valign="top" align="center">CFI</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1.402</td>
<td valign="top" align="center">0.068</td>
<td valign="top" align="center">0.953</td>
<td valign="top" align="center">0.955</td>
<td valign="top" align="center">0.941</td>
<td valign="top" align="center">0.955</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>(2) Convergence validity</p>
<p>As shown in <xref ref-type="table" rid="T11">Table 11</xref>, the factor loads of three dimensions and 12 measurement items of the Consumer Consumption Characteristics Scale are all greater than 0.50, which indicates that each latent variable is highly representative of the subject to which it belongs. Also, the AVE of each latent variable is close to or greater than 0.5, and the CR is greater than 0.70, indicating that convergence validity is good.</p>
<table-wrap position="float" id="T11">
<label>TABLE 11</label>
<caption><p>Convergence validity test results of consumer consumption characteristics.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left" colspan="3">Route</td>
<td valign="top" align="center">Estimate</td>
<td valign="top" align="center">AVE</td>
<td valign="top" align="center">CR</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">SE2</td>
<td valign="top" align="center">&#x003C;&#x2014;</td>
<td valign="top" align="center">Physical type</td>
<td valign="top" align="center">0.657</td>
<td valign="top" align="center">0.457</td>
<td valign="top" align="center">0.771</td>
</tr>
<tr>
<td valign="top" align="left">SE3</td>
<td valign="top" align="center">&#x003C;&#x2014;</td>
<td valign="top" align="center">Physical type</td>
<td valign="top" align="center">0.703</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">SE4</td>
<td valign="top" align="center">&#x003C;&#x2014;</td>
<td valign="top" align="center">Physical type</td>
<td valign="top" align="center">0.666</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">SE5</td>
<td valign="top" align="center">&#x003C;&#x2014;</td>
<td valign="top" align="center">Physical type</td>
<td valign="top" align="center">0.678</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">FE1</td>
<td valign="top" align="center">&#x003C;&#x2014;</td>
<td valign="top" align="center">Ornamental type</td>
<td valign="top" align="center">0.742</td>
<td valign="top" align="center">0.645</td>
<td valign="top" align="center">0.878</td>
</tr>
<tr>
<td valign="top" align="left">FE2</td>
<td valign="top" align="center">&#x003C;&#x2014;</td>
<td valign="top" align="center">Ornamental type</td>
<td valign="top" align="center">0.876</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">FE3</td>
<td valign="top" align="center">&#x003C;&#x2014;</td>
<td valign="top" align="center">Ornamental type</td>
<td valign="top" align="center">0.867</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">FE4</td>
<td valign="top" align="center">&#x003C;&#x2014;</td>
<td valign="top" align="center">Ornamental type</td>
<td valign="top" align="center">0.713</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">AE1</td>
<td valign="top" align="center">&#x003C;&#x2014;</td>
<td valign="top" align="center">Participatory type</td>
<td valign="top" align="center">0.565</td>
<td valign="top" align="center">0.484</td>
<td valign="top" align="center">0.714</td>
</tr>
<tr>
<td valign="top" align="left">AE2</td>
<td valign="top" align="center">&#x003C;&#x2014;</td>
<td valign="top" align="center">Participatory type</td>
<td valign="top" align="center">0.605</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">AE3</td>
<td valign="top" align="center">&#x003C;&#x2014;</td>
<td valign="top" align="center">Participatory type</td>
<td valign="top" align="center">0.647</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">AE4</td>
<td valign="top" align="center">&#x003C;&#x2014;</td>
<td valign="top" align="center">Participatory type</td>
<td valign="top" align="center">0.658</td>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<p>(3) Discriminant validity</p>
<p>As shown in <xref ref-type="table" rid="T12">Table 12</xref>, there is a significant positive correlation between the three latent variables of consumption characteristics (<italic>p</italic> &#x003C; 0.01), and the absolute values of correlation coefficients are all less than 0.5 and less than the square root of the corresponding AVE. That is to say, there is a certain correlation between the latent variables, and at the same time, there is a certain degree of discrimination between them, which shows that the discrimination validity of the scale data is ideal.</p>
<table-wrap position="float" id="T12">
<label>TABLE 12</label>
<caption><p>Difference validity test results among variables.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td/>
<td valign="top" align="center">Physical type</td>
<td valign="top" align="center">Ornamental type</td>
<td valign="top" align="center">Participatory type</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Physical type</td>
<td valign="top" align="center">0.457</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">ornamental type</td>
<td valign="top" align="center">0.306<xref ref-type="table-fn" rid="t13fns3">&#x002A;&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.645</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Participatory type</td>
<td valign="top" align="center">0.453<xref ref-type="table-fn" rid="t13fns3">&#x002A;&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.327<xref ref-type="table-fn" rid="t13fns3">&#x002A;&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.484</td>
</tr>
<tr>
<td valign="top" align="left">Square root of AVE</td>
<td valign="top" align="center">0.676</td>
<td valign="top" align="center">0.803</td>
<td valign="top" align="center">0.696</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t13fns3"><p><italic>&#x002A;&#x002A;&#x002A;Represents p-value &#x003C; 0.01, and the diagonal line is AVE to evaluate the variance and variation extraction.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<p>In the same way, the SEM of involvement degree and future sports consumption expenditure intention is established.</p>
<p>(2) Involvement degree and future sports consumption expenditure willingness</p>
<p>As shown in <xref ref-type="table" rid="T13">Table 13</xref>, the factor loads involved in the scale are all close to or greater than 0.50, the AVE is 0.467, and the CR is 0.706.</p>
<table-wrap position="float" id="T13">
<label>TABLE 13</label>
<caption><p>Convergence validity test results.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left" colspan="3">Route</td>
<td valign="top" align="center">Estimate</td>
<td valign="top" align="center">AVE</td>
<td valign="top" align="center">CR</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">CS1</td>
<td valign="top" align="center">&#x003C;&#x2014;</td>
<td valign="top" align="center">involvement</td>
<td valign="top" align="center">0.479</td>
<td valign="top" align="center">0.467</td>
<td valign="top" align="center">0.706</td>
</tr>
<tr>
<td valign="top" align="left">CS2</td>
<td valign="top" align="center">&#x003C;&#x2014;</td>
<td valign="top" align="center">involvement</td>
<td valign="top" align="center">0.932</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">CS3</td>
<td valign="top" align="center">&#x003C;&#x2014;</td>
<td valign="top" align="center">involvement</td>
<td valign="top" align="center">0.550</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">RP1</td>
<td valign="top" align="center">&#x003C;&#x2014;</td>
<td valign="top" align="center">Willingness to spend</td>
<td valign="top" align="center">0.514</td>
<td valign="top" align="center">0.465</td>
<td valign="top" align="center">0.631</td>
</tr>
<tr>
<td valign="top" align="left">RP2</td>
<td valign="top" align="center">&#x003C;&#x2014;</td>
<td valign="top" align="center">Willingness to spend</td>
<td valign="top" align="center">0.629</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">RP3</td>
<td valign="top" align="center">&#x003C;&#x2014;</td>
<td valign="top" align="center">Willingness to spend</td>
<td valign="top" align="center">0.659</td>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="T14">
<label>TABLE 14</label>
<caption><p>Standardized bootstrap mediating effect test.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Route</td>
<td valign="top" align="center">Effect value</td>
<td valign="top" align="center">SE</td>
<td valign="top" align="center" colspan="3">Bias-corrected 95%CI<hr/></td>
<td valign="top" align="center" colspan="3">Percentile 95%CI<hr/></td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td valign="top" align="center">Lower</td>
<td valign="top" align="center">Upper</td>
<td valign="top" align="center"><italic>P</italic></td>
<td valign="top" align="center">Lower</td>
<td valign="top" align="center">Upper</td>
<td valign="top" align="center"><italic>P</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">stdIndF1</td>
<td valign="top" align="center">&#x2212;0.013</td>
<td valign="top" align="center">0.016</td>
<td valign="top" align="center">&#x2212;0.061</td>
<td valign="top" align="center">&#x2212;0.001</td>
<td valign="top" align="center">0.021</td>
<td valign="top" align="center">&#x2212;0.050</td>
<td valign="top" align="center">&#x2212;0.001</td>
<td valign="top" align="center">0.032</td>
</tr>
<tr>
<td valign="top" align="left">stdIndF2</td>
<td valign="top" align="center">0.028</td>
<td valign="top" align="center">0.023</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">0.088</td>
<td valign="top" align="center">0.013</td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="center">0.084</td>
<td valign="top" align="center">0.016</td>
</tr>
<tr>
<td valign="top" align="left">stdIndF3</td>
<td valign="top" align="center">&#x2212;0.007</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">&#x2212;0.021</td>
<td valign="top" align="center">&#x2212;0.001</td>
<td valign="top" align="center">0.012</td>
<td valign="top" align="center">&#x2212;0.019</td>
<td valign="top" align="center">&#x2212;0.001</td>
<td valign="top" align="center">0.017</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>stdIndF1, F1-F4-F5; stdIndF2, F2-F4-F5; and stdIndF3, F3-F4-F5.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T15">
<label>TABLE 15</label>
<caption><p>Path inspection.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Path</td>
<td valign="top" align="left">Non-standardized coefficient</td>
<td valign="top" align="left">Normalization coefficient</td>
<td valign="top" align="left">S.E.</td>
<td valign="top" align="left">C.R.</td>
<td valign="top" align="left"><italic>P</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Physical type &#x2192; involvement degree</td>
<td valign="top" align="left">0.196</td>
<td valign="top" align="left">0.296</td>
<td valign="top" align="left">0.095</td>
<td valign="top" align="left">&#x2212;2.065</td>
<td valign="top" align="left">0.039</td>
</tr>
<tr>
<td valign="top" align="left">Participatory type &#x2192; involvement degree</td>
<td valign="top" align="left">&#x2212;0.554</td>
<td valign="top" align="left">&#x2212;0.637</td>
<td valign="top" align="left">0.153</td>
<td valign="top" align="left">3.622</td>
<td valign="top" align="left">0.000</td>
</tr>
<tr>
<td valign="top" align="left">Ornamental type &#x2192; involvement</td>
<td valign="top" align="left">&#x2212;0.129</td>
<td valign="top" align="left">&#x2212;0.146</td>
<td valign="top" align="left">0.042</td>
<td valign="top" align="left">&#x2212;3.072</td>
<td valign="top" align="left">0.002</td>
</tr>
<tr>
<td valign="top" align="left">Involvement degree &#x2192; willingness of future consumption expenditure</td>
<td valign="top" align="left">0.145</td>
<td valign="top" align="left">0.145</td>
<td valign="top" align="left">0.023</td>
<td valign="top" align="left">2.380</td>
<td valign="top" align="left">0.017</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The factor load, AVE, and CR of the future sports consumption expenditure willingness scale are all greater than 0.50.</p>
</sec>
</sec>
</sec>
<sec id="S5" sec-type="results|discussion">
<title>Results and Discussion</title>
<p>As a public health emergency, the novel coronavirus epidemic has had a great impact on many industries, as well as the sports industry. Based on sports and consumer behavior, psychology, and marketing, this study constructs SEM to study the influence of sports consumption characteristics and sports consumption involvement degree on the future consumption spending willingness under the background of public health emergencies, drawing the following conclusion:</p>
<p>First, this study tested the direct impact of the three dimensions of sports consumption characteristics (physical, participatory, and ornamental) on the future sports consumption willingness. Through analyzing the SEM, the three-dimensional variables reached the significance level, and the path coefficient and absolute value ranking of consumption characteristics on future consumption willingness were physical (0.31) &#x003E; ornamental (&#x2013;0.19) &#x003E; participatory (&#x2013;0.18), i.e., Hypotheses 1&#x2013;3 are verified: indicating that citizens with physical sports consumption characteristics are greatly affected by public health emergencies, but because the awareness of residents of paying attention to life and health is stimulated, and their willingness to make sports consumption is enhanced. However, the ornamental and participating sports consumption is reduced by the venue and other factors, but due to the online and offline characteristics, some residents prefer outdoor sports, such as mountaineering and hiking, with a small population density, so it is less affected by the epidemic.</p>
<p>Second, the study tested the influence of the three dimensions of sports consumption characteristics (physical, participation, and ornamental) on the involvement degree of sports. As a state of psychology, while sudden public health events cause panic to consumers, the public has a more strong awareness of healthcare to enhance the immunity of body through exercise. According to the SEM verification, participatory and ornamental consumption have a negative impact on the involvement of sports, and physical consumption has a positive impact on the involvement of sports. Hypotheses 4&#x2013;6 that were proposed in this study were verified.</p>
<p>Studies further test the mediation of sports degree. In the path, 95% CI has the same limit (i.e., excluding zero), so sports in sports degree between sports consumption characteristics and future sports consumption will play a significant intermediary role, thus proving that Hypothesis 7 is established.</p>
<p>Residents with different gender, occupation, educational background, marital status, age, and income level have significant differences in sports consumption willingness in all dimensions. The concept of &#x201C;spending money to buy health&#x201D; has been accepted by most people, but the formation of the sports consumption concept is also affected by material living standards and cultural development (<xref ref-type="bibr" rid="B8">Hongmei et al., 2010</xref>; <xref ref-type="bibr" rid="B25">Shengguo et al., 2016</xref>). This fully reflects the contradiction between the pursuit of citizens of quality of life and their limited ability.</p>
</sec>
<sec id="S6">
<title>Development Trend and Prospect of Sports Consumption</title>
<sec id="S6.SS1">
<title>Improve the Sports Awareness of Residents and Increase Government Support</title>
<p>The COVID-19 epidemic has greatly improved the awareness of people on sports and health promotion. In this epidemic, the whole society advocates home fitness, and the government and relevant departments can play the role of neighborhood committees. Establishing some small-scale and small-group sports activities can increase sports activities and also avoid large-scale crowd gatherings. At the same time, aiming at citizens of different ages and occupations, different types of activity associations should be established. For example, the elderly prefer the slower-paced sports activities, while the normally busy citizens prefer the relatively lower-intensity sports activities. At the same time, the epidemic situation has also stimulated the scales of small-sized fitness equipment suitable for home use.</p>
</sec>
<sec id="S6.SS2">
<title>Promote Diversified Integration Among Various Industries and Improve the Industrial Chain</title>
<p>On 18 March 2020, the Ministry of Culture and Tourism held a press conference on &#x201C;Promoting the resumption of the cultural tourism industry in an orderly manner and actively promoting the potential of consumption replenishment.&#x201D; Under this mobilization, tourism started a new prelude to resume work and production. All provincial capitals and cities seize the opportunity to improve the industrial chain of the sports tourism industry, promote the continuous integration of sports tourism with clothing, accommodation, transportation, entertainment, and other industries, and realize synergy and development of new consumption. Residents naturally pay monetary costs for sports tourism and promote the development of the sports consumption industry.</p>
</sec>
<sec id="S6.SS3">
<title>Effective Market Segmentation and Precise Service</title>
<p>Considering low-density participation, scene experience, and non-contact service, we will provide different sports products for different market segments, such as setting up stadiums of different grades. It is to adopt a differentiation strategy to meet the needs of different consumer groups, so as to enhance the sports consumption willingness of residents and obtain the long-term sustainable development benefits.</p>
<p>For example, according to the <xref ref-type="bibr" rid="B28">Tmall 2019 Sports Consumption Trends Report (2019)</xref>, in terms of sports and fitness, women have also shown unprecedented enthusiasm in recent years, such as yoga based on female groups, and practitioners, in 2014, from 10 million people increased to 20 million people. In 2016, there were 14,000 yoga studios, and by 2018, there were over 30,000 yoga studios. Being keenly aware of market changes and providing accurate services to specific consumer groups will make you stand out and seize market share.</p>
</sec>
<sec id="S6.SS4">
<title>Sports Enterprises Tend to Be Branded and Digitized</title>
<p>In recent years, the widespread popularity of the Internet has made the public increasingly dependent on the Internet. There is also a new force emerging in the sports industry, such as Keep, Music Carving, Super Orangutan, and other sports fitness apps. After the epidemic, enterprises can make full use of the Internet, break through the time and space constraints, and realize the perfect combination of online and offline sports.</p>
<p>As an offline enterprise, while coping with the crisis and resuming production, it also needs to have an innovative spirit, constantly update its strategic layout, make its service content and products more attractive, and firmly grasp the hearts of consumers. For example, the use of brand membership. Usually, consumers with membership cards have a stronger willingness to consume than other consumers. When the membership system makes the participation of citizens become a stable habit, it will help to increase their sports consumption needs. The participation of one family member in sports will also lead to the participation of other family members. It is still a long-lasting battle to establish brand loyalty in the sports consumption market. Only by finding our own core competitiveness, we can ride the wind and waves in the fierce competition.</p>
</sec>
</sec>
<sec id="S7" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="S8">
<title>Author Contributions</title>
<p>ZL: conceptualization, methodology, software, formal analysis, resources, data curation, writing&#x2013;original draft preparation, and project administration. RG and FD: project administration and funding acquisition. JL: writing&#x2013;review and editing, methodology, and formal analysis. YS: methodology, validation, formal analysis, investigation, and visualization. QC: formal analysis and supervision. 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="S9" sec-type="funding-information">
<title>Funding</title>
<p>This study was supported by the National Natural Science Foundation of China&#x2019;s general project &#x201C;Brand internationalization of Chinese national brands from the perspective of brand confidence Research on Strategy and Influence Mechanism&#x201D; (Approval Number: 71772168). Key Project of Jewelry Inheritance and Innovation Development and Research Center, (Award Number: CJHIXM-01-202101).</p>
</sec>
<ack>
<p>The authors would like to thank the reviewers and editors and all authors for their contribution.</p>
</ack>
<ref-list>
<title>References</title>
<ref id="B1"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chunming</surname> <given-names>L.</given-names></name> <name><surname>Bin</surname> <given-names>W.</given-names></name> <name><surname>Mingxuan</surname> <given-names>X.</given-names></name> <name><surname>Ding</surname> <given-names>L.</given-names></name> <name><surname>Xinjie</surname> <given-names>H.</given-names></name></person-group> (<year>2021</year>). <article-title>Influence of consumer behavior on the marketing strategy of the sports industry under the normalization of the epidemic.</article-title> <source><italic>Hubei Sports Technol.</italic></source> <volume>40</volume> <fpage>852</fpage>&#x2013;<lpage>858</lpage>.</citation></ref>
<ref id="B2"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dan</surname> <given-names>L.</given-names></name></person-group> (<year>2015</year>). <source><italic>The Influence From Consumer Involvement to Consumer Willing to Renew the Brand Relationship.</italic></source> <publisher-loc>Jinan</publisher-loc>: <publisher-name>Shandong University</publisher-name>.</citation></ref>
<ref id="B3"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Daoli</surname> <given-names>D.</given-names></name></person-group> (<year>2018</year>). <source><italic>Research on Conspicuous Sports Consumption in the Perspective of Consumer Society.</italic></source> <publisher-loc>Shanghai</publisher-loc>: <publisher-name>Shanghai University of Sport</publisher-name>.</citation></ref>
<ref id="B4"><citation citation-type="journal"><collab>Dongabe</collab> (<year>2020</year>). <article-title>Research on physical education of college students based on SEM.</article-title> <source><italic>Sports Fash.</italic></source> <volume>213</volume>.</citation></ref>
<ref id="B5"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Flynn</surname> <given-names>L. R.</given-names></name> <name><surname>Goldsmith</surname> <given-names>R. E.</given-names></name></person-group> (<year>1993</year>). <article-title>A causal model of consumer involvement replication and critique</article-title>. <source><italic>J. Soc. Behav. Pers.</italic></source> <volume>8</volume>, <fpage>129</fpage>&#x2013;<lpage>142</lpage>.</citation></ref>
<ref id="B6"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Haiyan</surname> <given-names>H.</given-names></name></person-group> (<year>2015</year>). <article-title>SEM model of analysis of sports games&#x2019; influences on City tourism.</article-title> <source><italic>J. Wuhan Instit. Phys. Educ.</italic></source> <volume>49</volume> <fpage>36</fpage>&#x2013;<lpage>43</lpage>.</citation></ref>
<ref id="B7"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hong</surname> <given-names>T.</given-names></name> <name><surname>Yang</surname> <given-names>Y.</given-names></name></person-group> (<year>2014</year>). <article-title>A comparative study on the intention and behavior of sports consumption in five social classes.</article-title> <source><italic>J. Beijing Sport Univ.</italic></source> <fpage>51</fpage>&#x2013;<lpage>55</lpage>.</citation></ref>
<ref id="B8"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hongmei</surname> <given-names>X.</given-names></name> <name><surname>Nongjian</surname> <given-names>W.</given-names></name> <name><surname>Peng</surname> <given-names>Z.</given-names></name> <name><surname>Yang</surname> <given-names>Y.</given-names></name> <name><surname>Wenhu</surname> <given-names>Y.</given-names></name></person-group> (<year>2010</year>). <article-title>Effect of China urban consumer&#x2019;s individual difference on sport consumption belief and behavior.</article-title> <source><italic>China Sport Sci.</italic></source> <volume>30</volume> <fpage>30</fpage>&#x2013;<lpage>35</lpage>.</citation></ref>
<ref id="B9"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Huiqin</surname> <given-names>W.</given-names></name></person-group> (<year>2018</year>). <source><italic>Experimental Study of Yangzhou Middle School Students Based on SEM.</italic></source> <comment>Thesis</comment>. <publisher-loc>Yangzhou</publisher-loc>: <publisher-name>Yangzhou University</publisher-name>.</citation></ref>
<ref id="B10"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jianwen</surname> <given-names>Z.</given-names></name> <name><surname>Aihong</surname> <given-names>Z.</given-names></name></person-group> (<year>2021</year>). <article-title>The positive shift of mass sports in China under the influence of COVID-19.</article-title> <source><italic>Zhejiang Sports Sci.</italic></source> <volume>43</volume> <fpage>22</fpage>&#x2013;<lpage>28</lpage>.</citation></ref>
<ref id="B11"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jietai</surname> <given-names>H.</given-names></name></person-group> (<year>2004</year>). <source><italic>Structural Equation Model and Its Applications.</italic></source> <publisher-loc>Hoboken, NJ</publisher-loc>: <publisher-name>Science and Education Press</publisher-name>.</citation></ref>
<ref id="B12"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jun</surname> <given-names>X.</given-names></name> <name><surname>Xiangyang</surname> <given-names>L.</given-names></name></person-group> (<year>2021</year>). <article-title>Influence effect and optimization strategy of resuming work and production in China&#x2019;s sports industry.</article-title> <source><italic>Beijing Sports Univ.</italic></source> <volume>44</volume> <fpage>47</fpage>&#x2013;<lpage>57</lpage>.</citation></ref>
<ref id="B13"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lei</surname> <given-names>L.</given-names></name> <name><surname>Xiaoqiang</surname> <given-names>S.</given-names></name></person-group> (<year>2021</year>). <article-title>Empirical analysis of the MOA-TAM integration model of the sports tourism-consumption behavior impact mechanism in the COVID-19 outbreak &#x2014;&#x2014; based on the S-O-R framework.</article-title> <source><italic>Tour. J.</italic></source> <volume>36</volume> <fpage>52</fpage>&#x2013;<lpage>70</lpage>.</citation></ref>
<ref id="B14"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Man</surname> <given-names>J.</given-names></name> <name><surname>Xiangzhi</surname> <given-names>Z.</given-names></name></person-group> (<year>2020</year>). <article-title>Influencing factors of consumers&#x2019; willingness to buy in the e-commerce network broadcast environment based on SOR model.</article-title> <source><italic>J. Huaibei Norm. Univ.</italic></source> <volume>41</volume> <fpage>49</fpage>&#x2013;<lpage>57</lpage>.</citation></ref>
<ref id="B15"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mattila</surname> <given-names>A. S.</given-names></name> <name><surname>Wirtz</surname> <given-names>J.</given-names></name></person-group> (<year>2001</year>). <article-title>Congruency of scent and music as a driver of in-store evaluations and behavior.</article-title> <source><italic>J. Retail.</italic></source> <volume>77</volume> <fpage>273</fpage>&#x2013;<lpage>289</lpage>.</citation></ref>
<ref id="B16"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mei</surname> <given-names>C.</given-names></name> <name><surname>Pan</surname> <given-names>W.</given-names></name> <name><surname>Chenyang</surname> <given-names>Z.</given-names></name></person-group> (<year>2021</year>). <article-title>Empirical study on consumer behavior of esports users &#x2014; based on SOR theoretical perspective.</article-title> <source><italic>Phys. Adult Educ.</italic></source> <volume>37</volume> <fpage>23</fpage>&#x2013;<lpage>31</lpage>.</citation></ref>
<ref id="B17"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mingzhi</surname> <given-names>L.</given-names></name> <name><surname>Zhiqiang</surname> <given-names>L.</given-names></name> <name><surname>Jianghong</surname> <given-names>Z.</given-names></name></person-group> (<year>2020</year>). <article-title>Analysis on the status quo and prospects of sports consumption during the pandemic period of new coronavirus pneumonia.</article-title> <source><italic>Sci. Technol. Stat. Sport. Goods</italic></source> <volume>9</volume> <fpage>17</fpage>&#x2013;<lpage>18</lpage>.</citation></ref>
<ref id="B18"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mullet</surname> <given-names>G. M.</given-names></name> <name><surname>Karson</surname> <given-names>M. J.</given-names></name></person-group> (<year>1985</year>). <article-title>Analysis of purchase intent scales weighted by probability of actual purchase.</article-title> <source><italic>J. Market. Res.</italic></source> <volume>22</volume> <fpage>93</fpage>&#x2013;<lpage>96</lpage>.</citation></ref>
<ref id="B19"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Qiyuan</surname> <given-names>D.</given-names></name></person-group> (<year>2020</year>). <article-title>Research on the impact of COVID-19 on the sports consumption of Chinese family residents - is based on the normal trend of COVID-19 prevention and control and the market forecast.</article-title> <source><italic>Natl. Circ. Econ.</italic></source> <fpage>15</fpage>&#x2013;<lpage>17</lpage>.</citation></ref>
<ref id="B20"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rui</surname> <given-names>C.</given-names></name> <name><surname>Yuhuang</surname> <given-names>Z.</given-names></name></person-group> (<year>2013</year>). <article-title>Analysis of intermediary effects: principles, procedures, Bootstrap methods and their applications.</article-title> <source><italic>J. Market. Sci.</italic></source> <volume>9</volume> <fpage>120</fpage>&#x2013;<lpage>135</lpage>.</citation></ref>
<ref id="B21"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rui</surname> <given-names>C.</given-names></name> <name><surname>Yuhuang</surname> <given-names>Z.</given-names></name> <name><surname>Wenjing</surname> <given-names>L.</given-names></name></person-group> (<year>2014</year>). <article-title>Mediation analysis: principles, procedures, Bootstrap methods and applications</article-title>. <source><italic>J. Mark. Sci.</italic></source> <volume>9</volume>, <fpage>120</fpage>&#x2013;<lpage>135</lpage>.</citation></ref>
<ref id="B22"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Russell</surname> <given-names>J. A.</given-names></name> <name><surname>Mehrabian</surname> <given-names>L. F.</given-names></name></person-group> (<year>1999</year>). <article-title>Core affect, prototypical emotional episodes, and other things called emotion: dissecting the elephant.</article-title> <source><italic>J. Pers. Soc. Psychol.</italic></source> <volume>76</volume> <fpage>805</fpage>&#x2013;<lpage>819</lpage>. <pub-id pub-id-type="doi">10.1037//0022-3514.76.5.805</pub-id> <pub-id pub-id-type="pmid">10353204</pub-id></citation></ref>
<ref id="B23"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Schiffman</surname> <given-names>L. G.</given-names></name> <name><surname>Kanuk</surname> <given-names>L. L.</given-names></name></person-group> (<year>2000</year>). <source><italic>Consumer Behavior</italic></source>, <edition>7th Edn</edition>, <publisher-loc>Upper Saddle River</publisher-loc>: <publisher-name>Prentice Hall</publisher-name>.</citation></ref>
<ref id="B24"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shanping</surname> <given-names>C.</given-names></name> <name><surname>Yunying</surname> <given-names>W.</given-names></name></person-group> (<year>2008</year>). <article-title>Sports consumer psychology in different exercise and behavior stages</article-title>. <source><italic>Sports Sci</italic></source>. <volume>11</volume>, <fpage>16</fpage>&#x2013;<lpage>21+53</lpage>.</citation></ref>
<ref id="B25"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shengguo</surname> <given-names>Z.</given-names></name> <name><surname>Kaizhen</surname> <given-names>W.</given-names></name> <name><surname>Chongxi</surname> <given-names>T.</given-names></name></person-group> (<year>2016</year>). <article-title>Significance and realization of sports consumption under national fitness program.</article-title> <source><italic>J. Wuhan Instit. Phys. Educ.</italic></source> <volume>50</volume> <fpage>5</fpage>&#x2013;<lpage>11</lpage>.</citation></ref>
<ref id="B26"><citation citation-type="journal"><collab>State Physical Cultural Administration</collab> (<year>2020a</year>). <source><italic>Anti-Pandemic Preparations Minimize the Impact of the Pandemic-State Physical Cultural Administration Takes Multiple Measures to Prevent and Control the Epidemic</italic></source>. Available online at: <ext-link ext-link-type="uri" xlink:href="https://www.sport.gov.cn/n4/n15204/n15206/c941810/content.html">https://www.sport.gov.cn/n4/n15204/n15206/c941810/content.html</ext-link></citation></ref>
<ref id="B27"><citation citation-type="journal"><collab>State Physical Cultural Administration</collab> (<year>2020b</year>). <source><italic>Convene a Video Conference on the National Sports System: Emphasize the Overall Planning of Epidemic Prevention and Control and Key Sports in 2020.</italic></source> <comment>China Sports</comment>. Available online at: <ext-link ext-link-type="uri" xlink:href="https://www.sport.gov.cn/n10503/c943699/content.html">https://www.sport.gov.cn/n10503/c943699/content.html</ext-link></citation></ref>
<ref id="B28"><citation citation-type="journal"><collab>Tmall 2019 Sports Consumption Trends Report</collab> (<year>2019</year>). <source><italic>Chinese are Getting More and More Interested in Sports and Sports Spending is Growing Fastest Among the Grey-Haired[R].</italic></source> Available online at: <ext-link ext-link-type="uri" xlink:href="https://www.sohu.com/a/360656059_114930">https://www.sohu.com/a/360656059_114930</ext-link></citation></ref>
<ref id="B29"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wei</surname> <given-names>C.</given-names></name> <name><surname>Chaoyang</surname> <given-names>G.</given-names></name></person-group> (<year>2003</year>). <article-title>Situation of people&#x2019;s physical exercise during the period of SARS.</article-title> <source><italic>J. Wuhan Instit. Phys. Educ.</italic></source> <volume>5</volume> <fpage>175</fpage>&#x2013;<lpage>176</lpage>.</citation></ref>
<ref id="B30"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wei</surname> <given-names>G.</given-names></name></person-group> (<year>2011</year>). <source><italic>Research on the Measurement Model of Involvement Degree of Chinese Ornamental Sports Consumers.</italic></source> <publisher-loc>Nanjing</publisher-loc>: <publisher-name>Nanjing Normal University</publisher-name>.</citation></ref>
<ref id="B31"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wei</surname> <given-names>W.</given-names></name> <name><surname>Hongchao</surname> <given-names>L.</given-names></name></person-group> (<year>2005</year>). <article-title>Analysis of sports consumption in the period of rapid economic development.</article-title> <source><italic>Theory J.</italic></source> <volume>22</volume> <fpage>99</fpage>&#x2013;<lpage>100</lpage>.</citation></ref>
<ref id="B32"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Weiti</surname> <given-names>D.</given-names></name> <name><surname>Ke</surname> <given-names>S.</given-names></name></person-group> (<year>2021</year>). <article-title>Risk identification and evaluation of large sports events based on SEM.</article-title> <source><italic>J. Tonghua Norm. Univ.</italic></source> <volume>42</volume> <fpage>116</fpage>&#x2013;<lpage>123</lpage>.</citation></ref>
<ref id="B33"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Xiaosong</surname> <given-names>D.</given-names></name> <name><surname>Jihai</surname> <given-names>Z.</given-names></name></person-group> (<year>2009</year>). <article-title>Review of consumer invol studies.</article-title> <source><italic>Bus. Age</italic></source> <fpage>18</fpage>&#x2013;<lpage>19</lpage>.</citation></ref>
<ref id="B34"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yalun</surname> <given-names>W.</given-names></name> <name><surname>Yang</surname> <given-names>L.</given-names></name> <name><surname>Jue</surname> <given-names>W.</given-names></name></person-group> (<year>2020</year>). <article-title>Predictive study of the impact of the COVID-19 outbreak on the Sports industry.</article-title> <source><italic>J. Chengdu Instit. Phys. Educ.</italic></source> <volume>46</volume> <fpage>62</fpage>&#x2013;<lpage>69</lpage>.</citation></ref>
<ref id="B35"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhonglin</surname> <given-names>W.</given-names></name> <name><surname>Jietai</surname> <given-names>H.</given-names></name></person-group> (<year>2004</year>). <source><italic>Structural Equation Model and Its Applications [M].</italic></source> <publisher-loc>Beijing</publisher-loc>: <publisher-name>Economic Science Press</publisher-name>.</citation></ref>
</ref-list>
</back>
</article>
