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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Sustain. Energy Policy</journal-id>
<journal-title>Frontiers in Sustainable Energy Policy</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Sustain. Energy Policy</abbrev-journal-title>
<issn pub-type="epub">2813-4982</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fsuep.2024.1493355</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Sustainable Energy Policy</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>How components of ESG performance impact corporate risk-taking?</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Sun</surname> <given-names>Chuanwang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1849041/overview"/>
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<contrib contrib-type="author">
<name><surname>Lu</surname> <given-names>Shuangji</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Zhang</surname> <given-names>Yaodan</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>School of Economics, Xiamen University, Xiamen</institution>, <addr-line>Fujian</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>School of Economics and Management, Nanchang University</institution>, <addr-line>Nanchang</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Ministry of Education (MOE) Key Laboratory of Econometrics, School of Economics, Xiamen University</institution>, <addr-line>Xiamen</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Liang Li, Nanjing University of Information Science and Technology, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Guoxiang Li, Nanjing Normal University, China</p>
<p>Mengmeng Xu, Nanjing University of Science and Technology, China</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Yaodan Zhang <email>zydyyds0603&#x00040;163.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>06</day>
<month>11</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>3</volume>
<elocation-id>1493355</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>09</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>14</day>
<month>10</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2024 Sun, Lu and Zhang.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Sun, Lu and Zhang</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>Corporate risk-taking (CRT) is crucial for sustainable business development. The focus of this study is to examine the relationship between components of ESG performance (ESGP) and corporate risk-taking. We conduct an empirical analysis using CSI ESG score data of A-share listed companies on the Shanghai and Shenzhen stock exchanges from 2009 to 2022. The conclusions are as follows: (1) ESGP exerts a facilitating effect on CRT. Specifically, environmental performance inhibit CRT, whereas social responsibility and corporate governance performance enhance CRT. (2) The facilitating effect of ESGP on CRT is more pronounced at lower levels of equity concentration. (3) ESGP enhances CRT by increasing the level of innovation and institutional investor shareholding. The contribution of this study is to help firms change CRT by adjusting the components of ESGP.</p></abstract>
<kwd-group>
<kwd>ESG performance</kwd>
<kwd>corporate risk-taking</kwd>
<kwd>equity concentration</kwd>
<kwd>innovation levels</kwd>
<kwd>institutional investor shareholding</kwd>
</kwd-group>
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<fig-count count="0"/>
<table-count count="10"/>
<equation-count count="4"/>
<ref-count count="52"/>
<page-count count="11"/>
<word-count count="7037"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Policy and Environmental Impact</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Corporate risk-taking (CRT) reflects the willingness and ability to choose projects with uncertain expected returns and cash flows (Wang et al., 2024; Liu et al., <xref ref-type="bibr" rid="B29">2023</xref>). CRT is an effective means for companies to generate substantial profits and plays a crucial role in the stable development of companies (Kish-Gephart and Campbell, <xref ref-type="bibr" rid="B25">2015</xref>). BRICS countries are often confronted with the challenge of economic policy uncertainty, characterized by variations in trade regulations and alterations in monetary and fiscal policies (Aydin et al., <xref ref-type="bibr" rid="B3">2022</xref>). This uncertainty can have far-reaching effects on business strategies, and CRT is more likely to change. Research suggests that CRT may be affected by the level of corporate Environment, Social and Governance performance (ESGP) engagement (Du et al., <xref ref-type="bibr" rid="B9">2024</xref>; Ellili, <xref ref-type="bibr" rid="B10">2022</xref>). ESG, as a kind of corporate evaluation standard, evaluates corporate performance in terms of environmental performance (EP), social responsibility performance (SP) and governance performance (GP), and conveys the value of sound corporate development to the public (Shen et al., <xref ref-type="bibr" rid="B39">2023</xref>; Vilanova et al., <xref ref-type="bibr" rid="B43">2009</xref>). Therefore, this paper takes China as a representative of the BRICS countries to examine how ESGP affects CRT, which can help companies find a more appropriate mode of operation and development in the process of continuously improving ESG governance, thus laying a foundation for sustainable development.</p>
<p>According to studies conducted by BlackRock Consulting, listed companies with stronger ESGP have exhibited a trend of outperforming the broader market in terms of market capitalization in recent years. This has led investors to believe that ESG-performing companies are better equipped to deal with future uncertain events. ESGP contributes significantly to the creation of a favorable social image for the company. This, in turn, enhances CRT by creating more external funding advantages and operational benefits (Habib and Hasan, <xref ref-type="bibr" rid="B16">2017b</xref>; Ioannou and Serafeim, <xref ref-type="bibr" rid="B21">2015</xref>). However, sometimes, in order to maintain and enhance the ESG image of the firm, some managers tend to show risk-averse behavior when faced with potentially risky investment projects, thus reducing the CRT tendency (Chen et al., <xref ref-type="bibr" rid="B6">2024</xref>; Shahzad et al., <xref ref-type="bibr" rid="B38">2019</xref>). Therefore, to further clarify the impact of ESGP on CRT, it is necessary to explore how each component of ESG affects CRT.</p>
<p>Existing research into the factors that influence CRT currently focuses on three main areas: individual manager, corporate governance and the external environment. For individual manager, most studies have focused on the factors which includes practitioner experience, psychological characteristics and age, among others (Chen et al., <xref ref-type="bibr" rid="B6">2024</xref>; Cialdini and Goldstein, <xref ref-type="bibr" rid="B7">2004</xref>). For corporate governance, agency model and equity incentives have been identified as significant factors influencing CRT (Xue and Ying, <xref ref-type="bibr" rid="B48">2022</xref>). According to agency theory, the interests of managers and shareholders are sometimes in conflict (Habib and Hasan, <xref ref-type="bibr" rid="B16">2017b</xref>). Due to the drive of self-interest, managers tend to prefer investment and financing decisions that are more robust, which reduces the overall level of CRT while avoiding risk (Shleifer and Vishny, <xref ref-type="bibr" rid="B40">1986</xref>; Li et al., <xref ref-type="bibr" rid="B26">2024</xref>). However, equity incentives can link company risk and return to the immediate interests of the managers (Bova et al., <xref ref-type="bibr" rid="B4">2015</xref>). However, equity incentives can link corporate risk and reward to the immediate interests of managers (Bova et al., <xref ref-type="bibr" rid="B4">2015</xref>). In the pursuit of economic efficiency, managers will strive to increase the level of CRT (Kim et al., <xref ref-type="bibr" rid="B23">2017</xref>). In terms of the external environment, companies with better ESG performance receive positive external feedback, which increases their level of CRT (Habib and Hasan, <xref ref-type="bibr" rid="B15">2017a</xref>).</p>
<p>Existing study demonstrates that only some scholars have investigated the influence of corporate governance on CRT. While, there has been an absence of analysis concerning the interrelationship between the various components of ESGP and CRT. This impedes the exploration of the intrinsic mechanism of ESGP on CRT. It is significant to study the role relationship between the components of ESGP and CRT, as this can help enterprises find a more suitable operating model for them in the process of continuously improving ESG governance, which will in turn lay the foundation for their sustainable development.</p>
<p>This study explores the influence of ESGP and the individual ESG elements on CRT by analyzing a dataset consisting of all A-share listed companies in Shanghai and Shenzhen for the period 2009 to 2020. It is found that, drawing on corporate information asymmetry theory and stakeholder theory, the improvement of ESGP may enhance CRT. Specifically, improvements in environmental performance may inhibit CRT, while social responsibility performance and corporate governance performance may enhance it. Furthermore, the study examines the moderating role of equity concentration on the association in the relationship between ESGP and CRT. In general, the promotion of CRT by ESGP is enhanced when equity is relatively dispersed. Moreover, the mechanism test suggests that the facilitating effect of ESGP on CRT is mediated through two channels, namely the level of innovation and the percentage of investor ownership.</p>
<p>The research contribution of this paper consists of three points. Firstly, this study further reveals the relationship between the performance of each ESG component and CRT. This contributes to a deeper understanding of how each component of ESG performance affects the level of CRT. And by adjusting EP, SP and GP, we find the appropriate CRT level for their business development. Secondly, as a complement to existing studies on the mechanisms by which ESGP affects CRT, we find that equity concentration moderates the relationship between ESGP and CRT, while the level of innovation and investor ownership have mediating effects. Accordingly, we propose new ideas for regulating CRT.</p>
<p>The rest of the paper is structured as follows: in Section 2, we formulate the research hypothesis; Section 3 describes the variables and research design, including data collection and model construction; Section 4 presents the analysis of the empirical results and tests the robustness; Section 5 further tests the moderating effect and analyses the influencing mechanism; Section 6 summarizes the conclusions and implications of this paper.</p>
</sec>
<sec id="s2">
<title>2 Theoretical foundation and research hypothesis</title>
<sec>
<title>2.1 Corporate ESGP and CRT</title>
<p>Based on signaling theory, good ESGP can send positive signals to the market. The public usually believes that firms with good ESGP have efficient corporate governance and less risk of non-compliance (Gao et al., <xref ref-type="bibr" rid="B13">2017</xref>). For external stakeholders, in order to reduce their investment risks and protect their own interests, they will tend to invest more resources in companies with better ESGP under limited resource allocation. As a result, good ESGP signals to the market that firms are focused on environmental protection, actively fulfilling their social responsibilities and improving corporate governance (Albuquerque et al., <xref ref-type="bibr" rid="B2">2019</xref>). This helps firms to build good social relationships with different stakeholders and is crucial for enhancing corporate risk-taking (Lins et al., <xref ref-type="bibr" rid="B27">2017</xref>).</p>
<p>According to information asymmetry theory, the information gap between shareholders and managers was inevitable before the emergence of ESG. Financial data could not provide shareholders with a comprehensive understanding of a company&#x00027;s operations, which could easily lead to trust issues between shareholders and managers. The non-financial information contained in ESGP can alleviate the information asymmetry, which reduces the risk premium demanded by investors and creditors (Drempetic et al., <xref ref-type="bibr" rid="B8">2020</xref>), and also inhibits the risk aversion tendency of managers to a certain extent (Wang H. J. et al., <xref ref-type="bibr" rid="B44">2024</xref>).</p>
<p>From a resource acquisition perspective, firms with strong ESGP have a resource pooling effect. It helps firms to acquire multiple resources from different stakeholders, increasing the capacity of the &#x0201C;resource pool&#x0201D; within the firm (Pedersen et al., <xref ref-type="bibr" rid="B35">2021</xref>). These resources form a buffer in times of crisis, which in turn improves the firm&#x00027;s ability to survive and grow in the event of external shocks, and increases the level of CRT (Vial, <xref ref-type="bibr" rid="B42">2019</xref>). By publicizing the fulfillment of their ESG responsibilities, companies balance financial returns and social benefits, which helps to increase shareholder value and gain stakeholder support (Zhang et al., <xref ref-type="bibr" rid="B49">2010</xref>), and provides companies with the capital to take high risks.</p>
<p>Active corporate ESGP can help mitigate the problem of over-investment and under-investment caused by environmental uncertainty and play a protective role for stable business operations (Samet and Jarboui, <xref ref-type="bibr" rid="B37">2017</xref>). At the same time, it can help companies establish a good relationship with local governments. This is conducive to obtaining government support in terms of funding, policies, etc., to mitigate the impact of environmental uncertainty on enterprises&#x00027; business operations.</p>
<p><bold>H1</bold></p>
<p>Corporate ESGP may enhance CRT.</p>
</sec>
<sec>
<title>2.2 Environmental performance and CRT</title>
<p>The traditional trade-off hypothesis posits that companies&#x00027; environmental protection initiatives may adversely affect their financial performance due to the additional costs incurred, with the potential economic benefits of improved environmental performance not fully offsetting these costs. In China, the externalities of pollution remain largely uninternalized (Liu et al., <xref ref-type="bibr" rid="B28">2022</xref>), requiring firms to make significant investments in green innovation, energy conservation and emissions reduction efforts. These investments increase business risks, potentially threatening the survival of companies. In addition, environmental performance constraints limit polluting companies&#x00027; access to credit resources, hindering their ability to secure external financial support (Zhao et al., <xref ref-type="bibr" rid="B52">2024</xref>). In Iran, the relationship between companies&#x00027; environmental performance and CRT is even more pronounced, with the former having a direct dampening effect on the latter (Khairollahi et al., <xref ref-type="bibr" rid="B22">2016</xref>). Therefore, the following hypothesis is derived:</p>
<p><bold>H2</bold></p>
<p>Environmental performance may inhibit CRT.</p>
</sec>
<sec>
<title>2.3 Social responsibility performance and CRT</title>
<p>Stakeholder theory suggests that investing in social responsibility performance increases shareholder wealth because it increases the willingness of other stakeholders to provide resources to the company (Freeman, <xref ref-type="bibr" rid="B12">1984</xref>). In addition, social responsibility contributes to the firm&#x00027;s reputation for keeping its implicit promises, which improves the firm&#x00027;s relationship with its stakeholders (Harjoto and Laksmana, <xref ref-type="bibr" rid="B20">2018</xref>). Therefore, social responsibility improves the level of corporate risk-taking by managing the interests of both invested (shareholders) and non-invested stakeholders (employees, customers, etc.). According to risk management theory, social responsibility performance creates &#x0201C;moral capital&#x0201D; for the firm, which provides protection and mitigates negative comments from stakeholders (Godfrey et al., <xref ref-type="bibr" rid="B14">2009</xref>), leading to higher risk-taking (Chakraborty et al., <xref ref-type="bibr" rid="B5">2019</xref>). Therefore, the following hypothesis is derived:</p>
<p><bold>H3</bold></p>
<p>Social responsibility performance may enhance CRT.</p>
</sec>
<sec>
<title>2.4 Corporate governance performance and CRT</title>
<p>Management serves as the primary decision-maker in CRT endeavors. With the objective of maximizing corporate value, management makes risky investment decisions tailored to their individual risk appetites, aiming to achieve efficient allocation of corporate resources (Zhang et al., <xref ref-type="bibr" rid="B51">2021</xref>; Nakano and Nguyen, <xref ref-type="bibr" rid="B33">2012</xref>). For example, during financial crises, insurance industry firms with better governance structures have been observed to mitigate tail risks and expected loss probabilities, thereby fostering a more aggressive CRT stance (Magee et al., <xref ref-type="bibr" rid="B31">2019</xref>). For external investors and stakeholders, the level of corporate governance provides a crucial insight into a firm&#x00027;s legitimacy and reputation. Improvements in corporate governance play a pivotal role in enabling firms to gain strategic advantages and outperform their competitors (Wang et al., <xref ref-type="bibr" rid="B45">2023</xref>). In addition, public disclosure of corporate governance standards by firms can help governments reduce the costs associated with screening firms, increase the likelihood that such firms will be included in government support programs, and ultimately increase their CRT capacity. Based on existing research, we can formulate the hypothesis that:</p>
<p><bold>H4</bold></p>
<p>Corporate governance performance may enhance CRT.</p>
</sec>
<sec>
<title>2.5 Mechanism analysis</title>
<p>Several studies have found that equity concentration plays a key role in shaping the relationship between ESGP and CRT. Firstly, higher equity concentration hinders information exchange between companies, exacerbating information asymmetry and increasing transaction costs (Liu et al., <xref ref-type="bibr" rid="B30">2024</xref>). This, in turn, enhances companies&#x00027; propensity to engage in risky activities (Wang S. J. et al., <xref ref-type="bibr" rid="B46">2024</xref>; Massa and Zaldokas, <xref ref-type="bibr" rid="B32">2017</xref>; Faccio et al., <xref ref-type="bibr" rid="B11">2016</xref>). Secondly, a high degree of equity concentration implies that minority shareholders have disproportionate decision-making power. This concentration of power may lead to decisions that are not well-hedged against firm risk, as decisions may be heavily influenced by minority preferences and experience (Harford et al., <xref ref-type="bibr" rid="B19">2018</xref>). The following hypothesis is therefore proposed:</p>
<p><bold>H5a</bold></p>
<p>Equity concentration operates a moderating role in the relationship between ESGP and CRT, and the effect of ESGP is more pronounced at lower levels of equity concentration.</p>
<p>ESGP has the potential to reduce their risk appetite by encouraging entrepreneurship and innovation. Proactive disclosure of environmental information by companies not only helps to maintain a positive corporate image, but also provides incentives to phase out energy-intensive and polluting technologies, thereby stimulating technological innovation (Al Amosh and Khatib, <xref ref-type="bibr" rid="B1">2023</xref>). In addition, ESGP signifies a commitment to social responsibility, which increases investor confidence and reduces the cost of corporate innovation (Wang H. J. et al., <xref ref-type="bibr" rid="B44">2024</xref>). An increase in the level of technological innovation is conducive to maintaining a leading edge and establishing a favorable market position, which increases the level of CRT (Vilanova et al., <xref ref-type="bibr" rid="B43">2009</xref>). Therefore, we propose the following hypothesis:</p>
<p><bold>H5b</bold></p>
<p>ESGP may effectively enhance CRT by stimulating innovation.</p>
<p>The higher the shareholding of institutional investors in a company, the more the company is inclined to take higher risks. Some studies have shown that institutional investors have a higher preference for companies with high information transparency and sustainable development capability, and stocks of listed companies with good ESGP are more likely to be favored by institutional investors. When institutional investors hold shares in target companies as an important external governance mechanism, they can play a better role in monitoring target companies as their shareholding increases. This improves corporate governance, mitigates the free-rider problem, and helps firms to further improve their own risk-taking (Hao et al., <xref ref-type="bibr" rid="B18">2020</xref>; Ongsakul et al., <xref ref-type="bibr" rid="B34">2022</xref>). Therefore, the following hypotheses are proposed:</p>
<p><bold>H5c</bold></p>
<p>Corporate ESGP may enhance CRT by increasing institutional investor shareholdings.</p>
</sec>
</sec>
<sec id="s3">
<title>3 Variables and research design</title>
<sec>
<title>3.1 Dependent variable</title>
<p>CRT plays a key role in corporate strategic decision-making, reflecting a company&#x00027;s willingness and ability to pay higher returns in pursuit of higher earnings. Referring to the method proposed by Sitkin and Pablo (<xref ref-type="bibr" rid="B41">1992</xref>), we measure CRT as the ratio of a firm&#x00027;s risk assets to its total assets in the current year. This represents a series of CRT decisions and is an external manifestation of a company&#x00027;s risk appetite (Hanelt et al., <xref ref-type="bibr" rid="B17">2021</xref>). A stronger willingness to take risks by the company leads to higher CRT levels as a consequence of its decision-making behavior.</p>
</sec>
<sec>
<title>3.2 Independent variables</title>
<p>The Sino-Securities ESG evaluation system not only covers all A-shares, but also uses technical means to track the historical data since 2009, which makes the data more comprehensive and relevant to the Chinese market. Based on this, we select the score of total ESGP, score of EP, score of SP and score of GP in the Sino-Securities ESG evaluation system as the independent variables in this study.</p>
</sec>
<sec>
<title>3.3 Control variables</title>
<p>Existing research has shown that various factors, such as corporate value and nature, affect CRT. Therefore, the following control variables are established: firm size (<italic>Scale</italic>), price-earnings ratio (<italic>PE</italic>), gearing ratio (<italic>Lev</italic>), firm free cash flow per share (<italic>FCFF</italic>), firm age (<italic>Age</italic>) and firm growth (<italic>Growth</italic>) (Zhang et al., <xref ref-type="bibr" rid="B50">2024</xref>; Chen et al., <xref ref-type="bibr" rid="B6">2024</xref>).</p>
</sec>
<sec>
<title>3.4 Moderating variable</title>
<p>As ESG is a product of social progress at a certain stage, its performance outcomes can vary due to its unique attributes. Based on this, the following moderating variable is selected for further study: equity concentration (<italic>CR1</italic>) (Wang S. J. et al., <xref ref-type="bibr" rid="B46">2024</xref>).</p>
</sec>
<sec>
<title>3.5 Mediating variables</title>
<p>To further study the mechanism by which ESGP affects CRT, mediating variables are introduced: corporate innovation level (<italic>EI</italic>) (Qian et al., <xref ref-type="bibr" rid="B36">2023</xref>) and institutional investor shareholding (<italic>IIP</italic>) (Wang and Wang, <xref ref-type="bibr" rid="B47">2024</xref>). As detailed in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Variable definitions.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th valign="top" align="left"><bold>Variable type</bold></th>
<th valign="top" align="left"><bold>Variable symbol</bold></th>
<th valign="top" align="left"><bold>Definition</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Dependent variable</td>
<td valign="top" align="left"><italic>Risk</italic></td>
<td valign="top" align="left">(Trading financial assets &#x0002B; net available-for-sale financial assets &#x0002B; NET investment real estate)/total assets</td>
</tr> <tr>
<td valign="top" align="left">Independent variables</td>
<td valign="top" align="left"><italic>ESGscore</italic><break/><italic>Escore</italic><break/><italic>Sscore</italic><break/><italic>Gscore</italic></td>
<td valign="top" align="left">Refer to the sino-securities ESG performance score results</td>
</tr> <tr>
<td valign="top" align="left" rowspan="6">Control variables</td>
<td valign="top" align="left"><italic>Scale</italic></td>
<td valign="top" align="left">Natural logarithm of total assets</td>
</tr>
 <tr>
<td valign="top" align="left"><italic>PE</italic></td>
<td valign="top" align="left">Ratio of stock price to earnings per share</td>
</tr>
 <tr>
<td valign="top" align="left"><italic>Lev</italic></td>
<td valign="top" align="left">Ratio of total liabilities to total assets</td>
</tr>
 <tr>
<td valign="top" align="left"><italic>FCFF</italic></td>
<td valign="top" align="left">Ratio of free cash flow of company to total equity at the end of the period</td>
</tr>
 <tr>
<td valign="top" align="left"><italic>Age</italic></td>
<td valign="top" align="left">Difference between the year of establishment of the enterprise and the statistical year</td>
</tr>
 <tr>
<td valign="top" align="left"><italic>Growth</italic></td>
<td valign="top" align="left">Growth in total assets relative to the beginning of the year</td>
</tr> <tr>
<td valign="top" align="left">Moderating variable</td>
<td valign="top" align="left"><italic>CR1</italic></td>
<td valign="top" align="left">Shareholding of the largest shareholder</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2">Mediating variables</td>
<td valign="top" align="left"><italic>EI</italic></td>
<td valign="top" align="left">Logarithm of the cumulative number of patents obtained as of the end of the reporting period</td>
</tr>
 <tr>
<td valign="top" align="left"><italic>IIP</italic></td>
<td valign="top" align="left">Proportion of shares held by institutional investors (relative to total equity)</td>
</tr></tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>3.6 Data source and model construction</title>
<p>The data sample selected for this study is comprised of publicly available data for Type A companies listed on the Shanghai and Shenzhen stock exchanges from 2009 to 2022. The data encompasses both A-share markets, objectively and accurately reflecting the operational status of public companies in these markets. Following the exclusion of financial companies, ST companies and those with missing data on key variables, the continuous financial data were trimmed to 1 and 99%. After the aforementioned data processing steps, a total of 23,146 data samples of A-share listed companies were obtained for the study. The data employed in this study are derived from the CSI ESG scoring system and the CSMAR database. The basic regression model employed to test the hypotheses is presented in <xref ref-type="disp-formula" rid="E1">Equation 1</xref>.</p>
<disp-formula id="E1"><label>(1)</label><mml:math id="M1"><mml:mtable class="eqnarray" columnalign="left"><mml:mtr><mml:mtd><mml:mi>R</mml:mi><mml:mi>i</mml:mi><mml:mi>s</mml:mi><mml:msub><mml:mrow><mml:mi>k</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mo>,</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B1;</mml:mi></mml:mrow><mml:mrow><mml:mn>0</mml:mn></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B1;</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mo>&#x000B7;</mml:mo><mml:mi>E</mml:mi><mml:mi>S</mml:mi><mml:mi>G</mml:mi><mml:mi>s</mml:mi><mml:mi>c</mml:mi><mml:mi>o</mml:mi><mml:mi>r</mml:mi><mml:msub><mml:mrow><mml:mi>e</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mo>,</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mi>&#x003B1;</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:mo>&#x000B7;</mml:mo><mml:msub><mml:mrow><mml:mi>Q</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mo>,</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B1;</mml:mi></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow></mml:msub><mml:mo>&#x000B7;</mml:mo><mml:mi>S</mml:mi><mml:mi>c</mml:mi><mml:mi>a</mml:mi><mml:mi>l</mml:mi><mml:msub><mml:mrow><mml:mi>e</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mo>,</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:msub></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B1;</mml:mi></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow></mml:msub><mml:mo>&#x000B7;</mml:mo><mml:mi>G</mml:mi><mml:mi>r</mml:mi><mml:mi>o</mml:mi><mml:mi>w</mml:mi><mml:mi>t</mml:mi><mml:msub><mml:mrow><mml:mi>h</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mo>,</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B1;</mml:mi></mml:mrow><mml:mrow><mml:mn>5</mml:mn></mml:mrow></mml:msub><mml:mo>&#x000B7;</mml:mo><mml:mi>P</mml:mi><mml:msub><mml:mrow><mml:mi>E</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mo>,</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B1;</mml:mi></mml:mrow><mml:mrow><mml:mn>6</mml:mn></mml:mrow></mml:msub><mml:mo>&#x000B7;</mml:mo><mml:mi>L</mml:mi><mml:mi>e</mml:mi><mml:msub><mml:mrow><mml:mi>v</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mo>,</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B1;</mml:mi></mml:mrow><mml:mrow><mml:mn>7</mml:mn></mml:mrow></mml:msub><mml:mo>&#x000B7;</mml:mo><mml:mi>F</mml:mi><mml:mi>C</mml:mi><mml:mi>F</mml:mi><mml:msub><mml:mrow><mml:mi>F</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mo>,</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:msub></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B3;</mml:mi></mml:mrow><mml:mrow><mml:mi>y</mml:mi><mml:mi>e</mml:mi><mml:mi>a</mml:mi><mml:mi>r</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003C3;</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>n</mml:mi><mml:mi>d</mml:mi><mml:mi>u</mml:mi><mml:mi>s</mml:mi><mml:mi>t</mml:mi><mml:mi>r</mml:mi><mml:mi>y</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:mi>&#x003B5;</mml:mi></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
<p>Furthermore, it should be noted that the impacts of EP, SP and GP are operating simultaneously and interacting to influence business. Therefore, we also constructed the baseline regression model of the impact of individual components of ESGP on CRT, which is set up in <xref ref-type="disp-formula" rid="E2">Equation 2</xref>.</p>
<disp-formula id="E2"><label>(2)</label><mml:math id="M3"><mml:mtable class="eqnarray" columnalign="left"><mml:mtr><mml:mtd><mml:mi>R</mml:mi><mml:mi>i</mml:mi><mml:mi>s</mml:mi><mml:msub><mml:mrow><mml:mi>k</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mo>,</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B2;</mml:mi></mml:mrow><mml:mrow><mml:mn>0</mml:mn></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B2;</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msub><mml:mo>&#x000B7;</mml:mo><mml:mi>E</mml:mi><mml:mi>s</mml:mi><mml:mi>c</mml:mi><mml:mi>o</mml:mi><mml:mi>r</mml:mi><mml:msub><mml:mrow><mml:mi>e</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mo>,</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mi>&#x003B2;</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:mo>&#x000B7;</mml:mo><mml:mi>S</mml:mi><mml:mi>s</mml:mi><mml:mi>c</mml:mi><mml:mi>o</mml:mi><mml:mi>r</mml:mi><mml:msub><mml:mrow><mml:mi>e</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mo>,</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B2;</mml:mi></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow></mml:msub><mml:mo>&#x000B7;</mml:mo><mml:mi>G</mml:mi><mml:mi>s</mml:mi><mml:mi>c</mml:mi><mml:mi>o</mml:mi><mml:mi>r</mml:mi><mml:msub><mml:mrow><mml:mi>e</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mo>,</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:msub></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B2;</mml:mi></mml:mrow><mml:mrow><mml:mn>4</mml:mn></mml:mrow></mml:msub><mml:mo>&#x000B7;</mml:mo><mml:msub><mml:mrow><mml:mi>Q</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mo>,</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B2;</mml:mi></mml:mrow><mml:mrow><mml:mn>5</mml:mn></mml:mrow></mml:msub><mml:mo>&#x000B7;</mml:mo><mml:mi>S</mml:mi><mml:mi>c</mml:mi><mml:mi>a</mml:mi><mml:mi>l</mml:mi><mml:msub><mml:mrow><mml:mi>e</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mo>,</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B2;</mml:mi></mml:mrow><mml:mrow><mml:mn>6</mml:mn></mml:mrow></mml:msub><mml:mo>&#x000B7;</mml:mo><mml:mi>G</mml:mi><mml:mi>r</mml:mi><mml:mi>o</mml:mi><mml:mi>w</mml:mi><mml:mi>t</mml:mi><mml:msub><mml:mrow><mml:mi>h</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mo>,</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B2;</mml:mi></mml:mrow><mml:mrow><mml:mn>7</mml:mn></mml:mrow></mml:msub><mml:mo>&#x000B7;</mml:mo><mml:mi>P</mml:mi><mml:msub><mml:mrow><mml:mi>E</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mo>,</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:msub></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B2;</mml:mi></mml:mrow><mml:mrow><mml:mn>8</mml:mn></mml:mrow></mml:msub><mml:mo>&#x000B7;</mml:mo><mml:mi>L</mml:mi><mml:mi>e</mml:mi><mml:msub><mml:mrow><mml:mi>v</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mo>,</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B1;</mml:mi></mml:mrow><mml:mrow><mml:mn>7</mml:mn></mml:mrow></mml:msub><mml:mo>&#x000B7;</mml:mo><mml:mi>F</mml:mi><mml:mi>C</mml:mi><mml:mi>F</mml:mi><mml:msub><mml:mrow><mml:mi>F</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mo>,</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B2;</mml:mi></mml:mrow><mml:mrow><mml:mn>9</mml:mn></mml:mrow></mml:msub><mml:mo>&#x000B7;</mml:mo><mml:mi>F</mml:mi><mml:mi>C</mml:mi><mml:mi>F</mml:mi><mml:msub><mml:mrow><mml:mi>F</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mo>,</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003B3;</mml:mi></mml:mrow><mml:mrow><mml:mi>y</mml:mi><mml:mi>e</mml:mi><mml:mi>a</mml:mi><mml:mi>r</mml:mi></mml:mrow></mml:msub></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mo>&#x0002B;</mml:mo><mml:msub><mml:mrow><mml:mi>&#x003C3;</mml:mi></mml:mrow><mml:mrow><mml:mi>i</mml:mi><mml:mi>n</mml:mi><mml:mi>d</mml:mi><mml:mi>u</mml:mi><mml:mi>s</mml:mi><mml:mi>t</mml:mi><mml:mi>r</mml:mi><mml:mi>y</mml:mi></mml:mrow></mml:msub><mml:mo>&#x0002B;</mml:mo><mml:mi>&#x003BC;</mml:mi></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>
</sec>
</sec>
<sec id="s4">
<title>4 Analysis of empirical results</title>
<sec>
<title>4.1 Descriptive statistical analysis</title>
<p><xref ref-type="table" rid="T2">Table 2</xref> shows the descriptive statistics of the main variables of this study. A statistical analysis of the data reveals the following observations for the 23,146 sample points: Firstly, the difference in the level of corporate risk-taking between Shanghai and Shenzhen A-share listed companies is relatively small. Second, the difference in the comprehensive ESG performance of each company is relatively significant. Finally, most companies in the sample have relatively low environmental performance scores. Social responsibility performance scores are relatively high, indicating that listed companies contribute more positively to social welfare. In addition, corporate governance performance scores are also relatively high.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Results of descriptive statistics.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th valign="top" align="left"><bold>Variable name</bold></th>
<th valign="top" align="center"><bold>Obs</bold></th>
<th valign="top" align="center"><bold>Mean</bold></th>
<th valign="top" align="center"><bold>Max</bold></th>
<th valign="top" align="center"><bold>Min</bold></th>
<th valign="top" align="center"><bold>Std</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>Risk</italic></td>
<td valign="top" align="center">23,146</td>
<td valign="top" align="center">0.0586</td>
<td valign="top" align="center">0.261</td>
<td valign="top" align="center">0.0011</td>
<td valign="top" align="center">0.0531</td>
</tr> <tr>
<td valign="top" align="left"><italic>ESGscore</italic></td>
<td valign="top" align="center">23,146</td>
<td valign="top" align="center">73.56</td>
<td valign="top" align="center">84.24</td>
<td valign="top" align="center">58.26</td>
<td valign="top" align="center">4.9595</td>
</tr> <tr>
<td valign="top" align="left"><italic>Escore</italic></td>
<td valign="top" align="center">23,146</td>
<td valign="top" align="center">60.86</td>
<td valign="top" align="center">81.26</td>
<td valign="top" align="center">45.76</td>
<td valign="top" align="center">7.4689</td>
</tr> <tr>
<td valign="top" align="left"><italic>Sscore</italic></td>
<td valign="top" align="center">23,146</td>
<td valign="top" align="center">74.75</td>
<td valign="top" align="center">95.12</td>
<td valign="top" align="center">47.09</td>
<td valign="top" align="center">9.0709</td>
</tr> <tr>
<td valign="top" align="left"><italic>Gscore</italic></td>
<td valign="top" align="center">23,146</td>
<td valign="top" align="center">79.65</td>
<td valign="top" align="center">90.96</td>
<td valign="top" align="center">54.60</td>
<td valign="top" align="center">6.4847</td>
</tr> <tr>
<td valign="top" align="left"><italic>Scale</italic></td>
<td valign="top" align="center">23,146</td>
<td valign="top" align="center">22.21</td>
<td valign="top" align="center">26.26</td>
<td valign="top" align="center">20.03</td>
<td valign="top" align="center">1.2828</td>
</tr> <tr>
<td valign="top" align="left"><italic>Lev</italic></td>
<td valign="top" align="center">23,146</td>
<td valign="top" align="center">0.393</td>
<td valign="top" align="center">0.842</td>
<td valign="top" align="center">0.0552</td>
<td valign="top" align="center">0.1909</td>
</tr> <tr>
<td valign="top" align="left"><italic>FCFF</italic></td>
<td valign="top" align="center">23,146</td>
<td valign="top" align="center">0.0160</td>
<td valign="top" align="center">3.348</td>
<td valign="top" align="center">&#x02212;5.210</td>
<td valign="top" align="center">1.1661</td>
</tr> <tr>
<td valign="top" align="left"><italic>PE</italic></td>
<td valign="top" align="center">23,146</td>
<td valign="top" align="center">72.94</td>
<td valign="top" align="center">837.1</td>
<td valign="top" align="center">5.207</td>
<td valign="top" align="center">117.2167</td>
</tr> <tr>
<td valign="top" align="left"><italic>Age</italic></td>
<td valign="top" align="center">23,146</td>
<td valign="top" align="center">18.38</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">5.9490</td>
</tr> <tr>
<td valign="top" align="left"><italic>Growth</italic></td>
<td valign="top" align="center">23,146</td>
<td valign="top" align="center">0.126</td>
<td valign="top" align="center">0.675</td>
<td valign="top" align="center">&#x02212;0.213</td>
<td valign="top" align="center">0.1514</td>
</tr></tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>4.2 Regression analysis</title>
<p><xref ref-type="table" rid="T3">Table 3</xref> illustrates the baseline regression model examining the influence of ESGP on CRT. Column (1) of <xref ref-type="table" rid="T3">Table 3</xref> demonstrates that the regression coefficient of corporate ESGP is 0.0009 and is significant at the 1% level. The results show that there is a facilitating effect of corporate ESGP on CRT, and hypothesis H1 is verified. The improvement of corporate ESGP releases positive signals to the public, improves information asymmetry, and can effectively inhibit managers&#x00027; risk aversion. At the same time, good ESGP is more conducive to the acquisition of resources and the establishment of a good reputation image, which in turn improves CRT.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Baseline regression results.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th/>
<th valign="top" align="center"><bold>(1)</bold></th>
<th valign="top" align="center"><bold>(2)</bold></th>
</tr>
</thead>
<tbody>
<tr style="background-color:#919498;color:#ffffff">
<td/>
<td valign="top" align="center"><bold>Risk</bold></td>
<td valign="top" align="center"><bold>Risk</bold></td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>ESGscore</italic></td>
<td valign="top" align="center">0.0009<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td/>
</tr>
 <tr>
<td valign="top" align="left">(0.0001)</td>
<td/>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Escore</italic></td>
<td/>
<td valign="top" align="center">&#x02212;0.0001<sup>&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td/>
<td valign="top" align="left">(0.0000)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Sscore</italic></td>
<td/>
<td valign="top" align="center">0.0003<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td/>
<td valign="top" align="left">(0.0000)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Gscore</italic></td>
<td/>
<td valign="top" align="center">0.0007<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td/>
<td valign="top" align="left">(0.0001)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Scale</italic></td>
<td valign="top" align="center">&#x02212;0.0023<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.0022<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0003)</td>
<td valign="top" align="center">(0.0003)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Growth</italic></td>
<td valign="top" align="center">0.0836<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.0816<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0023)</td>
<td valign="top" align="center">(0.0023)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>lev</italic></td>
<td valign="top" align="center">0.0078<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.0127<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0021)</td>
<td valign="top" align="center">(0.0022)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>FCFF</italic></td>
<td valign="top" align="center">&#x02212;0.0058<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.0059<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0003)</td>
<td valign="top" align="center">(0.0003)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>PE</italic></td>
<td valign="top" align="center">&#x02212;0.0000<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.0000<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0000)</td>
<td valign="top" align="center">(0.0000)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Age</italic></td>
<td valign="top" align="center">&#x02212;0.0008<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.0008<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0001)</td>
<td valign="top" align="center">(0.0001)</td>
</tr> <tr>
<td valign="top" align="left">Industry</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
</tr> <tr>
<td valign="top" align="left">Year</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
</tr> <tr>
<td valign="top" align="left">Constant</td>
<td valign="top" align="center">0.0667<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.0506<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0085)</td>
<td valign="top" align="center">(0.0087)</td>
</tr> <tr>
<td valign="top" align="left">Obs</td>
<td valign="top" align="center">23146</td>
<td valign="top" align="center">23146</td>
</tr> <tr>
<td valign="top" align="left"><italic>R</italic><sup>2</sup></td>
<td valign="top" align="center">0.197</td>
<td valign="top" align="center">0.201</td>
</tr> <tr>
<td valign="top" align="left"><italic>F</italic></td>
<td valign="top" align="center">142.0592</td>
<td valign="top" align="center">137.9683</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p><sup>&#x0002A;&#x0002A;&#x0002A;</sup>, <sup>&#x0002A;&#x0002A;</sup>, and <sup>&#x0002A;</sup> represent significance levels of 1, 5, and 10%, respectively.</p>
</table-wrap-foot>
</table-wrap>
<p>Column (2) of <xref ref-type="table" rid="T3">Table 3</xref> presents the findings of the primary regression analysis for each component of ESGP. The regression coefficient for <italic>Escore</italic> is negative and statistically significant at the 1% level, thereby supporting hypothesis H2. The regression coefficient for <italic>Sscore</italic> is positive and significant at the 1% level, thereby supporting H3. The regression coefficient for <italic>Gscore</italic> is positive and significant at the 1% level, thereby supporting H4. From the above results, it can be concluded that the improvement of environmental performance inhibits the CRT, while the improvement of social responsibility performance and governance performance can increase the level of CRT.</p>
</sec>
<sec>
<title>4.3 Robustness test</title>
<sec>
<title>4.3.1 Independent variable lagged one period</title>
<p>Given that there is a lag in the value effect of carbon disclosure quality, this paper lags the dependent variable, companies&#x00027; ESGP, as well as the performance of each component by one period. It also mitigates the endogeneity problem of reverse causality. They are denoted by <italic>ESGscore</italic><sub><italic>i,t</italic>&#x02212;1</sub><italic>, Escore</italic><sub><italic>i,t</italic>&#x02212;1</sub>, <italic>Sscore</italic><sub><italic>i,t</italic>&#x02212;1</sub>, <italic>Gscore</italic><sub><italic>i,t</italic>&#x02212;1</sub>, respectively.</p>
<p>The variables of ESGP lagged by one period are employed to re-estimate model (1), the results of which are presented in <xref ref-type="table" rid="T4">Table 4</xref>. It can be observed that the lagged one-period ESGP regression coefficient for all enterprises is 0.0008, which is significant at the 1% level. This suggests that the conclusion that companies&#x00027; ESGP enhance CRT level is robust.</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Regression results for independent variables lagged one period.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th/>
<th valign="top" align="center"><bold>(1)</bold></th>
<th valign="top" align="center"><bold>(2)</bold></th>
</tr>
</thead>
<tbody>
<tr style="background-color:#919498;color:#ffffff">
<td/>
<td valign="top" align="center"><bold>Risk</bold></td>
<td valign="top" align="center"><bold>Risk</bold></td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>ESGscore<sub><italic>i,t</italic>&#x02212;1</sub></italic></td>
<td valign="top" align="center">0.0008<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td/>
</tr>
 <tr>
<td valign="top" align="left">(0.0001)</td>
<td/>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Escore<sub><italic>i,t</italic>&#x02212;1</sub></italic></td>
<td/>
<td valign="top" align="center">&#x02212;0.0001<sup>&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td/>
<td valign="top" align="left">(0.0001)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Sscore<sub><italic>i,t</italic>&#x02212;1</sub></italic></td>
<td/>
<td valign="top" align="center">0.0002<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td/>
<td valign="top" align="left">(0.0000)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Gscore<sub><italic>i,t</italic>&#x02212;1</sub></italic></td>
<td/>
<td valign="top" align="center">0.0007<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td/>
<td valign="top" align="left">(0.0001)</td>
</tr> <tr>
<td valign="top" align="left"><italic>Control variables</italic></td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
</tr> <tr>
<td valign="top" align="left">Constant</td>
<td valign="top" align="center">0.0482<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.0309<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0093)</td>
<td valign="top" align="center">(0.0096)</td>
</tr> <tr>
<td valign="top" align="left">Industry</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
</tr> <tr>
<td valign="top" align="left">Year</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
</tr> <tr>
<td valign="top" align="left">Obs</td>
<td valign="top" align="center">17,632</td>
<td valign="top" align="center">17,632</td>
</tr> <tr>
<td valign="top" align="left"><italic>R</italic><sup>2</sup></td>
<td valign="top" align="center">0.205</td>
<td valign="top" align="center">0.208</td>
</tr> <tr>
<td valign="top" align="left">F</td>
<td valign="top" align="center">119.3605</td>
<td valign="top" align="center">115.8388</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p><sup>&#x0002A;&#x0002A;&#x0002A;</sup>, <sup>&#x0002A;&#x0002A;</sup>, and <sup>&#x0002A;</sup> represent significance levels of 1, 5, and 10%, respectively.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>4.3.2 Endogeneity correction test</title>
<p>To further eliminate the interference of endogeneity, this paper adopts the instrumental variable method, using the first-order and second-order lag terms of the independent variable ESG performance as instrumental variables. The results are shown in <xref ref-type="table" rid="T5">Table 5</xref>. After considering the endogeneity problem, the regression coefficient of ESG composite performance is significantly positive at the 1% level, which is consistent with the previous regression results, indicating that the results of the baseline model are somewhat robust.</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>Two-stage regression results of the impact of current <italic>ESGscore</italic> on CRT.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th/>
<th valign="top" align="center"><bold>(1)</bold></th>
<th valign="top" align="center"><bold>(2)</bold></th>
</tr>
</thead>
<tbody>
<tr style="background-color:#919498;color:#ffffff">
<td/>
<td valign="top" align="center"><bold>ESG score</bold></td>
<td valign="top" align="center"><bold>Risk</bold></td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>ESGscore<sub><italic>i,t</italic>&#x02212;1</sub></italic></td>
<td valign="top" align="center">0.2839<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td/>
</tr>
 <tr>
<td valign="top" align="left">(24.116)</td>
<td/>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>ESGscore<sub><italic>i,t</italic>&#x02212;2</sub></italic></td>
<td valign="top" align="center">&#x02212;0.0622<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td/>
</tr>
 <tr>
<td valign="top" align="left">(&#x02212;5.606)</td>
<td/>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>ESG score</italic></td>
<td/>
<td valign="top" align="center">0.0013<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td/>
<td valign="top" align="left">(3.378)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Scale</italic></td>
<td valign="top" align="center">0.7377<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.0018</td>
</tr>
 <tr>
<td valign="top" align="left">(5.881)</td>
<td valign="top" align="center">(1.170)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Growth</italic></td>
<td valign="top" align="center">0.3707</td>
<td valign="top" align="center">0.0515<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(1.335)</td>
<td valign="top" align="center">(16.127)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>lev</italic></td>
<td valign="top" align="center">&#x02212;2.6494<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.0201<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(&#x02212;5.671)</td>
<td valign="top" align="center">(3.548)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>FCFF</italic></td>
<td valign="top" align="center">0.0355</td>
<td valign="top" align="center">&#x02212;0.0035<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(1.039)</td>
<td valign="top" align="center">(&#x02212;8.820)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>PE</italic></td>
<td valign="top" align="center">&#x02212;0.0013<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.0000</td>
</tr>
 <tr>
<td valign="top" align="left">(&#x02212;3.095)</td>
<td valign="top" align="center">(&#x02212;0.872)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Age</italic></td>
<td valign="top" align="center">&#x02212;0.0507</td>
<td valign="top" align="center">0.0003</td>
</tr>
 <tr>
<td valign="top" align="left">(&#x02212;0.334)</td>
<td valign="top" align="center">(0.203)</td>
</tr> <tr>
<td valign="top" align="left">Industry</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
</tr> <tr>
<td valign="top" align="left">Year</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
</tr> <tr>
<td valign="top" align="left">Obs</td>
<td valign="top" align="center">13,234</td>
<td valign="top" align="center">13,234</td>
</tr> <tr>
<td valign="top" align="left"><italic>R</italic><sup>2</sup></td>
<td valign="top" align="center">0.068</td>
<td valign="top" align="center">0.108</td>
</tr> <tr>
<td valign="top" align="left"><italic>F</italic></td>
<td valign="top" align="center">292.05</td>
<td valign="top" align="center">48.37</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p><sup>&#x0002A;&#x0002A;&#x0002A;</sup>, <sup>&#x0002A;&#x0002A;</sup>, and <sup>&#x0002A;</sup> represent significance levels of 1, 5, and 10%, respectively.</p>
</table-wrap-foot>
</table-wrap>
<p>Similarly, the first-order and second-order lagged terms of each component of ESGP are used as instrumental variables, and the results are shown in <xref ref-type="table" rid="T6">Table 6</xref>. After mitigating the endogeneity problem, the regression coefficients of environmental performance are significantly negative at the 5% level, the regression coefficients of social performance are significantly positive at the 1% level, and the regression coefficients of corporate governance performance are significantly positive at the 1% level, which is consistent with the results of the previous regressions.</p>
<table-wrap position="float" id="T6">
<label>Table 6</label>
<caption><p>Two-stage regression results of the impact of current <italic>EP, SP</italic>, and <italic>GP</italic> on CRT.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th/>
<th valign="top" align="center" colspan="3"><bold>(1)</bold></th>
<th valign="top" align="center"><bold>(2)</bold></th>
</tr>
</thead>
<tbody>
<tr style="background-color:#919498;color:#ffffff">
<td/>
<td valign="top" align="center"><bold>Escore</bold></td>
<td valign="top" align="center"><bold>Sscore</bold></td>
<td valign="top" align="center"><bold>Gscore</bold></td>
<td valign="top" align="center"><bold>Risk</bold></td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Escore<sub><italic>i,t</italic>&#x02212;1</sub></italic></td>
<td valign="top" align="center">0.3066<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.0506<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.0036</td>
<td/>
</tr>
 <tr>
<td valign="top" align="left">(22.542)</td>
<td valign="top" align="center">(3.212)</td>
<td valign="top" align="center">(0.333)</td>
<td/>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Sscore<sub><italic>i,t</italic>&#x02212;1</sub></italic></td>
<td valign="top" align="center">0.0248<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.1865<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.0071</td>
<td/>
</tr>
 <tr>
<td valign="top" align="left">(3.141)</td>
<td valign="top" align="center">(14.883)</td>
<td valign="top" align="center">(0.925)</td>
<td/>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Gscore<sub><italic>i,t</italic>&#x02212;1</sub></italic></td>
<td valign="top" align="center">0.0161</td>
<td valign="top" align="center">0.0063</td>
<td valign="top" align="center">0.3153<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td/>
</tr>
 <tr>
<td valign="top" align="left">(1.514)</td>
<td valign="top" align="center">(0.453)</td>
<td valign="top" align="center">(24.869)</td>
<td/>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Escore<sub><italic>i,t</italic>&#x02212;2</sub></italic></td>
<td valign="top" align="center">&#x02212;0.0445<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.0358<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.0208<sup>&#x0002A;</sup></td>
<td/>
</tr>
 <tr>
<td valign="top" align="left">(&#x02212;3.476)</td>
<td valign="top" align="center">(&#x02212;2.333)</td>
<td valign="top" align="center">(1.950)</td>
<td/>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Sscore<sub><italic>i,t</italic>&#x02212;2</sub></italic></td>
<td valign="top" align="center">0.0111</td>
<td valign="top" align="center">&#x02212;0.0571<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.0009</td>
<td/>
</tr>
 <tr>
<td valign="top" align="left">(1.418)</td>
<td valign="top" align="center">(&#x02212;5.102)</td>
<td valign="top" align="center">(0.118)</td>
<td/>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Gscore<sub><italic>i,t</italic>&#x02212;2</sub></italic></td>
<td valign="top" align="center">&#x02212;0.0074</td>
<td valign="top" align="center">0.0309<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.1137<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td/>
</tr>
 <tr>
<td valign="top" align="left">(&#x02212;0.710)</td>
<td valign="top" align="center">(2.228)</td>
<td valign="top" align="center">(&#x02212;9.906)</td>
<td/>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Escore</italic></td>
<td rowspan="2"/>
<td rowspan="2"/>
<td rowspan="2"/>
<td valign="top" align="center">&#x02212;0.0006<sup>&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(&#x02212;2.052)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Sscore</italic></td>
<td rowspan="2"/>
<td rowspan="2"/>
<td rowspan="2"/>
<td valign="top" align="center">0.0008<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(2.771)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Gscore</italic></td>
<td rowspan="2"/>
<td rowspan="2"/>
<td rowspan="2"/>
<td valign="top" align="center">0.0008<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(3.231)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Scale</italic></td>
<td valign="top" align="center">0.9149<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">1.4106<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.2386</td>
<td valign="top" align="center">0.0020</td>
</tr>
 <tr>
<td valign="top" align="left">(4.811)</td>
<td valign="top" align="center">(5.823)</td>
<td valign="top" align="center">(1.494)</td>
<td valign="top" align="center">(1.282)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Growth</italic></td>
<td valign="top" align="center">&#x02212;0.6905<sup>&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.4227</td>
<td valign="top" align="center">1.6567<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.0505<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(&#x02212;1.741)</td>
<td valign="top" align="center">(&#x02212;0.797)</td>
<td valign="top" align="center">(4.274)</td>
<td valign="top" align="center">(15.435)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>lev</italic></td>
<td valign="top" align="center">&#x02212;0.6090</td>
<td valign="top" align="center">1.6226<sup>&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;6.1445<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.0199<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(&#x02212;0.915)</td>
<td valign="top" align="center">(1.855)</td>
<td valign="top" align="center">(&#x02212;9.518)</td>
<td valign="top" align="center">(3.381)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>FCFF</italic></td>
<td valign="top" align="center">0.0246</td>
<td valign="top" align="center">&#x02212;0.0544</td>
<td valign="top" align="center">0.0831<sup>&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.0034<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.495)</td>
<td valign="top" align="center">(&#x02212;0.879)</td>
<td valign="top" align="center">(1.840)</td>
<td valign="top" align="center">(&#x02212;8.555)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>PE</italic></td>
<td valign="top" align="center">&#x02212;0.0008</td>
<td valign="top" align="center">&#x02212;0.0018<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.0015<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.0000</td>
</tr>
 <tr>
<td valign="top" align="left">(&#x02212;1.489)</td>
<td valign="top" align="center">(&#x02212;2.600)</td>
<td valign="top" align="center">(&#x02212;2.486)</td>
<td valign="top" align="center">(&#x02212;0.628)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Age</italic></td>
<td valign="top" align="center">0.2562</td>
<td valign="top" align="center">&#x02212;0.1667</td>
<td valign="top" align="center">&#x02212;0.1598</td>
<td valign="top" align="center">0.0008</td>
</tr>
 <tr>
<td valign="top" align="left">(1.026)</td>
<td valign="top" align="center">(&#x02212;0.599)</td>
<td valign="top" align="center">(&#x02212;1.010)</td>
<td valign="top" align="center">(0.591)</td>
</tr> <tr>
<td valign="top" align="left">Industry</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
</tr> <tr>
<td valign="top" align="left">Year</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
</tr> <tr>
<td valign="top" align="left">Obs</td>
<td valign="top" align="center">13,234</td>
<td valign="top" align="center">13,234</td>
<td valign="top" align="center">13,234</td>
<td valign="top" align="center">13,234</td>
</tr> <tr>
<td valign="top" align="left"><italic>R</italic><sup>2</sup></td>
<td valign="top" align="center">0.07156363</td>
<td valign="top" align="center">0.0365786</td>
<td valign="top" align="center">0.08919813</td>
<td valign="top" align="center">0.098</td>
</tr> <tr>
<td valign="top" align="left"><italic>F</italic></td>
<td valign="top" align="center">111.60</td>
<td valign="top" align="center">58.76</td>
<td valign="top" align="center">162.00</td>
<td valign="top" align="center">43.09</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p><sup>&#x0002A;&#x0002A;&#x0002A;</sup>, <sup>&#x0002A;&#x0002A;</sup>, and <sup>&#x0002A;</sup> represent significance levels of 1, 5, and 10%, respectively.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>4.3.3 Replacement of the dependent variable</title>
<p>R&#x00026;D investment, as a highly representative high-risk investment activity of enterprises, is an important element of their technological innovation. Research has shown that firms with a high risk appetite tend to invest more in R&#x00026;D (Kini and Williams, <xref ref-type="bibr" rid="B24">2012</xref>). Therefore, this paper selects the firm&#x00027;s R&#x00026;D investment as a proxy variable for risk-taking, and conducts benchmark regression for models (1) and (2). The results are shown in <xref ref-type="table" rid="T7">Table 7</xref>, which again verifies the robustness of the benchmark regression results.</p>
<table-wrap position="float" id="T7">
<label>Table 7</label>
<caption><p>Regression results with replacement of the dependent variable.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th/>
<th valign="top" align="center"><bold>(1)</bold></th>
<th valign="top" align="center"><bold>(2)</bold></th>
</tr>
</thead>
<tbody>
<tr style="background-color:#919498;color:#ffffff">
<td/>
<td valign="top" align="center"><bold>RD</bold></td>
<td valign="top" align="center"><bold>RD</bold></td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>ESGScore</italic></td>
<td valign="top" align="center">0.0003<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td/>
</tr>
 <tr>
<td valign="top" align="left">(0.0000)</td>
<td/>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>EScore</italic></td>
<td/>
<td valign="top" align="center">&#x02212;0.0001<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td/>
<td valign="top" align="left">(0.0000)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>SScore</italic></td>
<td/>
<td valign="top" align="center">0.0002<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td/>
<td valign="top" align="left">(0.0000)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>GScore</italic></td>
<td/>
<td valign="top" align="center">0.0002<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td/>
<td valign="top" align="left">(0.0000)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Scale</italic></td>
<td valign="top" align="center">&#x02212;0.0015<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.0014<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0001)</td>
<td valign="top" align="center">(0.0001)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Growth</italic></td>
<td valign="top" align="center">0.0169<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.0158<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0009)</td>
<td valign="top" align="center">(0.0009)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>lev</italic></td>
<td valign="top" align="center">&#x02212;0.0056<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.0044<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0008)</td>
<td valign="top" align="center">(0.0008)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>FCFF</italic></td>
<td valign="top" align="center">0.0004<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.0004<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0001)</td>
<td valign="top" align="center">(0.0001)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>PE</italic></td>
<td valign="top" align="center">&#x02212;0.0000<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.0000<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0000)</td>
<td valign="top" align="center">(0.0000)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Age</italic></td>
<td valign="top" align="center">&#x02212;0.0002<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.0002<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0000)</td>
<td valign="top" align="center">(0.0000)</td>
</tr> <tr>
<td valign="top" align="left">Industry</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
</tr> <tr>
<td valign="top" align="left">Year</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2">Constant</td>
<td valign="top" align="center">0.0182<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.0170<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0033)</td>
<td valign="top" align="center">(0.0033)</td>
</tr> <tr>
<td valign="top" align="left">Obs</td>
<td valign="top" align="center">23,146</td>
<td valign="top" align="center">23,146</td>
</tr> <tr>
<td valign="top" align="left" ><italic>R</italic><sup>2</sup></td>
<td valign="top" align="center">0.299</td>
<td valign="top" align="center">0.303</td>
</tr> <tr>
<td valign="top" align="left"><italic>F</italic></td>
<td valign="top" align="center">246.4764</td>
<td valign="top" align="center">239.0795</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p><sup>&#x0002A;&#x0002A;&#x0002A;</sup>, <sup>&#x0002A;&#x0002A;</sup>, and <sup>&#x0002A;</sup> represent significance levels of 1, 5, and 10%, respectively.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
</sec>
<sec id="s5">
<title>5 Further analysis</title>
<sec>
<title>5.1 Moderating effect</title>
<p>This study examines the moderating effect of equity concentration (CR1) on the relationship between corporate ESGP and CRT capability. The results of the moderation test are shown in <xref ref-type="table" rid="T8">Table 8</xref>. It indicates that the lower the equity concentration, the greater the contribution of ESGP to CRT, which verifies the hypothesis H5a.</p>
<table-wrap position="float" id="T8">
<label>Table 8</label>
<caption><p>Moderating effect test of corporate equity concentration.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th/>
<th valign="top" align="center"><bold>Risk</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="2"><italic>ESGscore</italic></td>
<td valign="top" align="center">0.0009<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0001)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>CR1</italic></td>
<td valign="top" align="center">0.0001<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0000)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>CR1<sup>&#x0002A;</sup>ESGscore</italic></td>
<td valign="top" align="center">&#x02212;0.0000<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0000)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Scale</italic></td>
<td valign="top" align="center">&#x02212;0.0025<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0003)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Growth</italic></td>
<td valign="top" align="center">0.0836<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0023)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>lev</italic></td>
<td valign="top" align="center">0.0084<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0021)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>FCFF</italic></td>
<td valign="top" align="center">&#x02212;0.0059<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0003)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>PE</italic></td>
<td valign="top" align="center">&#x02212;0.0000<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0000)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Age</italic></td>
<td valign="top" align="center">&#x02212;0.0008<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0001)</td>
</tr> <tr>
<td valign="top" align="left">Industry</td>
<td valign="top" align="center">Yes</td>
</tr> <tr>
<td valign="top" align="left">Year</td>
<td valign="top" align="center">Yes</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2">Constant</td>
<td valign="top" align="center">0.0674<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0085)</td>
</tr> <tr>
<td valign="top" align="left">Obs</td>
<td valign="top" align="center">23,146</td>
</tr> <tr>
<td valign="top" align="left"><italic>R</italic><sup>2</sup></td>
<td valign="top" align="center">0.199</td>
</tr> <tr>
<td valign="top" align="left"><italic>F</italic></td>
<td valign="top" align="center">136.4215</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p><sup>&#x0002A;&#x0002A;&#x0002A;</sup>, <sup>&#x0002A;&#x0002A;</sup>, and <sup>&#x0002A;</sup> represent significance levels of 1, 5, and 10%, respectively.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>5.2 Mechanism testing</title>
<p>The above research indicates that the improvement in corporate ESGP has a facilitating effect on CRT. This impact mechanism might involve several intermediary mechanisms. To investigate whether the degree of corporate financing restricts and the level of corporate innovation are among these intermediary mechanisms, relevant tests were conducted.</p>
<sec>
<title>5.2.1 Corporate innovation level</title>
<p>From <xref ref-type="table" rid="T9">Table 9</xref>, it can be seen that corporate innovation level operates a fully mediating role in the effect of ESGP on CRT, thereby validating H5b. These tests suggest that ESGP can enhance CRT by influencing the level of corporate innovation.</p>
<table-wrap position="float" id="T9">
<label>Table 9</label>
<caption><p>Mediating effect test of corporate innovation level.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th/>
<th valign="top" align="center"><bold>(1)</bold></th>
<th valign="top" align="center"><bold>(2)</bold></th>
<th valign="top" align="center"><bold>(3)</bold></th>
</tr>
</thead>
<tbody>
<tr style="background-color:#919498;color:#ffffff">
<td/>
<td valign="top" align="center"><bold>Risk</bold></td>
<td valign="top" align="center"><bold>EI</bold></td>
<td valign="top" align="center"><bold>Risk</bold></td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>ESGscore</italic></td>
<td valign="top" align="center">0.0009<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.0208<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.0009<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0001)</td>
<td valign="top" align="center">(0.0021)</td>
<td valign="top" align="center">(0.0001)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>EI</italic></td>
<td/>
<td/>
<td valign="top" align="center">0.0006<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td/>
<td/>
<td valign="top" align="left">(0.0002)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Scale</italic></td>
<td valign="top" align="center">&#x02212;0.0023<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.1383<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.0024<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0003)</td>
<td valign="top" align="center">(0.0105)</td>
<td valign="top" align="center">(0.0003)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Growth</italic></td>
<td valign="top" align="center">0.0836<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.0592</td>
<td valign="top" align="center">0.0836<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0023)</td>
<td valign="top" align="center">(0.0732)</td>
<td valign="top" align="center">(0.0023)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>lev</italic></td>
<td valign="top" align="center">0.0078<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.2323<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.0080<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0021)</td>
<td valign="top" align="center">(0.0671)</td>
<td valign="top" align="center">(0.0021)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>FCFF</italic></td>
<td valign="top" align="center">&#x02212;0.0058<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.0064</td>
<td valign="top" align="center">&#x02212;0.0058<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0003)</td>
<td valign="top" align="center">(0.0093)</td>
<td valign="top" align="center">(0.0003)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>PE</italic></td>
<td valign="top" align="center">&#x02212;0.0000<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.0002<sup>&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.0000<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0000)</td>
<td valign="top" align="center">(0.0001)</td>
<td valign="top" align="center">(0.0000)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Age</italic></td>
<td valign="top" align="center">&#x02212;0.0008<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.0106<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.0008<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0001)</td>
<td valign="top" align="center">(0.0020)</td>
<td valign="top" align="center">(0.0001)</td>
</tr> <tr>
<td valign="top" align="left">Industry</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
</tr> <tr>
<td valign="top" align="left">Year</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2">Constant</td>
<td valign="top" align="center">0.0667<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;3.8011<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.0692<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0085)</td>
<td valign="top" align="center">(0.2689)</td>
<td valign="top" align="center">(0.0085)</td>
</tr> <tr>
<td valign="top" align="left">Obs</td>
<td valign="top" align="center">23,146</td>
<td valign="top" align="center">23,146</td>
<td valign="top" align="center">23,146</td>
</tr> <tr>
<td valign="top" align="left"><italic>R</italic><sup>2</sup></td>
<td valign="top" align="center">0.197</td>
<td valign="top" align="center">0.048</td>
<td valign="top" align="center">0.198</td>
</tr> <tr>
<td valign="top" align="left"><italic>F</italic></td>
<td valign="top" align="center">142.0592</td>
<td valign="top" align="center">29.1857</td>
<td valign="top" align="center">138.8844</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p><sup>&#x0002A;&#x0002A;&#x0002A;</sup>, <sup>&#x0002A;&#x0002A;</sup>, and <sup>&#x0002A;</sup> represent significance levels of 1, 5, and 10%, respectively.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>5.2.2 Institutional investor shareholding</title>
<p>The mediation effect test of the stepwise regression method is shown in <xref ref-type="table" rid="T10">Table 10</xref>: In the test in column (1), the regression coefficient of the independent variable ESGP is significantly positive at the 1% level, indicating a significant direct effect. In the test in column (2), the regression coefficient of ESGP on the mediator variable institutional investor ownership is &#x02212;0.0055 and significant at the 1% level, implying that improving ESGP will increase institutional ownership. The regression coefficient of <italic>ESGscroe</italic> in column (2) and the regression coefficient of <italic>IIP</italic> in column (3) are significant, and the indirect effect is significant. The direct effect is positive and the indirect effect is positive, which means that the shareholding of institutional investors (IIP) has a partial mediating effect in the model. ESGP makes a positive contribution to corporate governance by increasing the shareholding of institutional investors, which promotes the improvement of CRT.</p>
<table-wrap position="float" id="T10">
<label>Table 10</label>
<caption><p>Mediating effect test of corporate innovation level.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th/>
<th valign="top" align="center"><bold>(1)</bold></th>
<th valign="top" align="center"><bold>(2)</bold></th>
<th valign="top" align="center"><bold>(3)</bold></th>
</tr>
</thead>
<tbody>
<tr style="background-color:#919498;color:#ffffff">
<td/>
<td valign="top" align="center"><bold>Risk</bold></td>
<td valign="top" align="center"><bold>IIP</bold></td>
<td valign="top" align="center"><bold>Risk</bold></td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>ESG score</italic></td>
<td valign="top" align="center">0.0009<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.0055</td>
<td valign="top" align="center">0.0009<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0001)</td>
<td valign="top" align="center">(0.0315)</td>
<td valign="top" align="center">(0.0001)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>IIP</italic></td>
<td/>
<td/>
<td valign="top" align="center">0.0000<sup>&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td/>
<td/>
<td valign="top" align="left">(0.0000)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Scale</italic></td>
<td valign="top" align="center">&#x02212;0.0023<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">9.0588<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.0026<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0003)</td>
<td valign="top" align="center">(0.1546)</td>
<td valign="top" align="center">(0.0004)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Growth</italic></td>
<td valign="top" align="center">0.0836<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">3.7618<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.0835<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0023)</td>
<td valign="top" align="center">(1.0769)</td>
<td valign="top" align="center">(0.0023)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>lev</italic></td>
<td valign="top" align="center">0.0078<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;4.4321<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.0080<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0021)</td>
<td valign="top" align="center">(0.9870)</td>
<td valign="top" align="center">(0.0021)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>FCFF</italic></td>
<td valign="top" align="center">&#x02212;0.0058<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.2355<sup>&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.0058<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0003)</td>
<td valign="top" align="center">(0.1374)</td>
<td valign="top" align="center">(0.0003)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>PE</italic></td>
<td valign="top" align="center">&#x02212;0.0000<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.0013</td>
<td valign="top" align="center">&#x02212;0.0000<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0000)</td>
<td valign="top" align="center">(0.0013)</td>
<td valign="top" align="center">(0.0000)</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2"><italic>Age</italic></td>
<td valign="top" align="center">&#x02212;0.0008<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.0575<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.0008<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0001)</td>
<td valign="top" align="center">(0.0287)</td>
<td valign="top" align="center">(0.0001)</td>
</tr> <tr>
<td valign="top" align="left">Industry</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
</tr> <tr>
<td valign="top" align="left">Year</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">Yes</td>
</tr> <tr>
<td valign="top" align="left" rowspan="2">Constant</td>
<td valign="top" align="center">0.0667<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;142.4008<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.0718<sup>&#x0002A;&#x0002A;&#x0002A;</sup></td>
</tr>
 <tr>
<td valign="top" align="left">(0.0085)</td>
<td valign="top" align="center">(3.9567)</td>
<td valign="top" align="center">(0.0087)</td>
</tr> <tr>
<td valign="top" align="left">Obs</td>
<td valign="top" align="center">23,146</td>
<td valign="top" align="center">23,146</td>
<td valign="top" align="center">23,146</td>
</tr> <tr>
<td valign="top" align="left"><italic>R</italic><sup>2</sup></td>
<td valign="top" align="center">0.197</td>
<td valign="top" align="center">0.240</td>
<td valign="top" align="center">0.198</td>
</tr> <tr>
<td valign="top" align="left"><italic>F</italic></td>
<td valign="top" align="center">142.0592</td>
<td valign="top" align="center">182.5828</td>
<td valign="top" align="center">138.7877</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p><sup>&#x0002A;&#x0002A;&#x0002A;</sup>, <sup>&#x0002A;&#x0002A;</sup>, and <sup>&#x0002A;</sup> represent significance levels of 1, 5, and 10%, respectively.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
</sec>
<sec id="s6">
<title>6 Conclusions and implications</title>
<p>Based on the data samples of A-share listed companies for the period 2009&#x02013;2022, this paper conducts econometric analyses and scientific assessments of the relationship between ESGP and CRT. The conclusions are shown below:</p>
<list list-type="simple">
<list-item><p>1) The improvement of ESGP has a promoting effect on CRT. Among them, improvements of environmental performance inhibit the level of CRT, while social responsibility and corporate governance performance may enhance CRT.</p></list-item>
<list-item><p>2) Equity concentration plays a moderating role in the relationship between ESGP and CRT. When equity is relatively dispersed, it enhances the contribution of ESGP to CRT.</p></list-item>
<list-item><p>3) The inhibitory effect of ESGP on CRT can be achieved by influencing the innovation level of firms and the shareholding of institutional investors. Corporate ESGP can promote the level of scientific and technological innovation, which leads to a higher risk-taking capacity. In addition, ESGP can also increase the level of risk-taking by increasing the share of institutional investors.</p></list-item>
</list>
<p>Based on the empirical findings, the key implications of this study are as follows:</p>
<p>Firstly, we should encourage companies to further deepen their understanding of ESG concepts and implement effective incentives to promote management&#x00027;s implementation of ESG responsibilities. Managers should take full advantage of the positive role of ESG performance in raising the level of corporate innovation, and promote the improvement of corporate risk-taking by strengthening the support of institutional investors.</p>
<p>Secondly, companies can modulate their CRT behavior by adjusting the performance standards of individual ESG components. A higher CRT stance may have an adverse impact on environmental performance, as it may hinder environmental governance efforts. Consequently, it is recommended that the government introduce further environmental incentives and subsidies to encourage companies to enhance their planning and investment in environmental management. In addition, improved social governance performance can create a positive and favorable image for companies. It is recommended that governments take the lead in encouraging companies to invest more in social welfare. At the same time, internal corporate governance should be optimized to avoid the trust risks associated with information asymmetry.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s7">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>SL: Formal analysis, Methodology, Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing, Visualization. YZ: Conceptualization, Methodology, Supervision, Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing. CS: Funding acquisition, Supervision, Validation, Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the Major Program of the National Fund of Philosophy and Social Science of China (No. 21&#x00026;ZD109), National Natural Science Foundation of China (Nos. 72074186 and 71673230), Basic Scientific Center Project of National Science Foundation of China (No. 71988101), and the Fundamental Research Funds for the Central Universities concerned Chinese modernization (No. 20720231061).</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<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. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x00027;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>
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