An Analysis of the Effects of ESG on Firm Performance and Financial Risk : Evidence from Chinese Stock Markets

Yanwei Zhao, Tae-Yeong Choi
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Abstract

In this paper, we examine the effects of ESG(corporate environmental, social and governance) on firm petformance and financial risk. We choose China's A-share manufacturing firms listed on Shanghai and Shenzhen Stock Exchanges. Sample span covers January 2010 to December 2020. We obtain the financial data from the online CSMAR DB and Wind DB. Using panel data, we employ panel regression analysis. We choose Tobin's Q and Altrnan's Z-score as dependent variables to calculate firm performance and financial risk. We select the popular Bloomberg ESG composite score as independent variable to measure the corporate ESG. In addition, we add six control variables, namely, firm size, growth, book-to-market value ratio, rate of return, annual and industry dummy variables. We find that the ESG not only improve firm perfonnm1ce but also reduce film's financial risk. These findings are largely consistent with prior studies. This paper has at least two limitations due to sample collection difficulty. First, we use only the manufacturing industry data for empirical analysis. Second, we include only the state-owned firms in the sample, excluding the private manufacturing industry. In the future studies, we hope to overcome these limitations of this paper.
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ESG对企业绩效和财务风险的影响分析:来自中国股市的证据
在本文中,我们研究了ESG(公司环境、社会和治理)对公司绩效和财务风险的影响。我们选择在上海和深圳证券交易所上市的中国a股制造业公司。样本跨度为2010年1月至2020年12月。我们从在线CSMAR数据库和Wind数据库中获得财务数据。使用面板数据,我们采用面板回归分析。我们选择Tobin’s Q和Altrnan’s Z-score作为因变量来计算企业绩效和财务风险。我们选择流行的彭博ESG综合得分作为自变量来衡量企业的ESG。此外,我们增加了六个控制变量,即公司规模、成长、账面市值比、收益率、年度和行业虚拟变量。研究发现,ESG不仅能提高企业绩效,还能降低企业的财务风险。这些发现与之前的研究基本一致。由于样本采集困难,本文至少有两个局限性。首先,我们只使用制造业数据进行实证分析。其次,我们在样本中只包括国有企业,不包括私营制造业。在未来的研究中,我们希望能够克服本文的这些局限性。
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