数字化转型是否能提高企业的ESG绩效?来自新兴市场的证据

IF 2.8 3区 经济学 Q2 BUSINESS Emerging Markets Finance and Trade Pub Date : 2023-10-12 DOI:10.1080/1540496x.2023.2253975
Yonggen Luo, Na Tian, Deli Wang, Wenqi Han
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引用次数: 1

摘要

摘要本文利用中国上市公司的数据,研究了数字化转型对企业ESG绩效的影响。利用文本分析的最新进展,我们量化了公司数字化转型的程度。结果表明,数字化转型提升了企业的ESG绩效。此外,在解决内生性问题和几个稳健性测试后,结果仍然稳健。此外,我们验证了数字化转型主要通过提高环境绩效、企业社会责任和公司治理水平来提高企业ESG绩效的潜在机制。为了检验经济后果,我们发现数字化转型获得了更多的政府补贴和分析师的关注,通过改善公司的ESG绩效,增加了管理层在盈余沟通会议上的积极基调。异质性分析表明,在污染严重的企业和具有信息技术经验的高管中,数字化转型对ESG绩效的影响更大。关键词:数字化转型esg绩效绿色创新jel分类:G20G30披露声明作者未报告潜在利益冲突。作者贡献:概念化,Y.L.;形式分析、资源、数据管理、新技术;写作-原稿准备,D.W.;修改和写作,W.H.所有作者都已阅读并同意发表的手稿版本。这17所大学包括北京大学、清华大学、北京师范大学、南开大学、吉林大学、复旦大学、上海交通大学、南京大学、中国科学技术大学、浙江大学、厦门大学、山东大学、武汉大学、中山大学、四川大学、西安交通大学和兰州大学。CASVI,中国社会价值投资联盟,是中国第一个致力于促进可持续金融的国际非营利平台。2016年9月,由宇城企业家农村发展基金会、中国社会治理研究学会、中国投资协会、吉富投资、清华大学美德公益研究院等发起,联合成立近50家机构。CASVI的评价体系实行“先筛选后评分”的机制,由“筛选子模型”和“评分子模型”组成。“筛选子模型”是社会价值评估的负面清单,从5个方面(行业问题、财务问题、重大负面事件、违法违规、特殊待遇)和17个指标进行二元评判。如果评价对象满足任何一项指标,则视为不合格,不能进行下一步的定量评分。“筛选子模型”选出符合条件的上市公司后,“评分子模型”量化其对社会价值的贡献。“评分子模型”分为一般、金融、房地产三个版本,包括3个一级指标(目标、方法、效果),9个二级指标(价值驱动、战略驱动、业务驱动、技术创新、模式创新、管理创新、经济贡献、社会贡献、环境贡献),27个三级指标,55个四级指标。国家自然科学基金资助项目[No. 1];72002043);广东省哲学社会科学综合项目[GD22CGL42];广东省教育厅创新团队项目[2022WCXTD020]。
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Does Digital Transformation Enhance Firm’s ESG Performance? Evidence from an Emerging Market
ABSTRACTWe examine the impact of digital transformation on a firm’s ESG performance using data from listed firms in China. Leveraging the recent advances in textual analysis, we quantify the extent of a firm’s digital transformation. The results show that digital transformation enhances a firm’s ESG performance. Moreover, results remain robust after addressing endogeneity problems and several robustness tests. In addition, we validate potential mechanisms that the digital transformation mainly improves the ESG performance of firms by improving the level of environmental performance, corporate social responsibility, and corporate governance. To examine the economic consequence, we find that digital transformation gains more government subsidies and analysts’ attention increasing the management’s positive tone at the earnings communication conferences by improving the firm’s ESG performance. Heterogeneity analysis suggests that the effect of digital transformation on ESG performance is stronger for firms in severely polluting industries and executives with information technology experience.KEYWORDS: Digital transformationESG performancegreen innovationJEL CLASSIFICATION: G20G30 Disclosure StatementNo potential conflict of interest was reported by the author(s).Author ContributionsConceptualisation, Y.L.; Formal analysis, resources, data curation, N.T.; Writing – original draft preparation, D.W.; Revising and writing, W.H. All authors have read and agreed to the published version of the manuscript.Notes1. The 17 universities include Peking University, Tsinghua University, Beijing Normal University, Nankai University, Jilin University, Fudan University, Shanghai Jiao Tong University, Nanjing University, University of Science and Technology of China, Zhejiang University, Xiamen University, Shandong University, Wuhan University, Sun Yat-sen University, Sichuan University, Xi’an Jiaotong University, and Lanzhou University.2. CASVI, the China Alliance of Social Value Investment, is China’s first international nonprofit platform dedicated to promoting sustainable finance. It was initiated in September 2016 by the Yucheng Entrepreneur Rural Development Foundation, the Chinese Society for Social Governance Research, the China Investment Association, Jifu Investment, and the Tsinghua University Meide Public Welfare Research Institute, with the joint establishment of nearly 50 institutions. CASVI’s evaluation system implements a “pre-screening then scoring” mechanism, composed of a “screening sub-model” and a “scoring sub-model.” The “screening sub-model” is a negative list for social value assessment, which judges the evaluation target based on 5 aspects (industry problems, financial problems, significant negative events, violations of laws and regulations, special treatment) and 17 indicators in a binary manner. If the evaluation target meets any indicators, it is deemed ineligible and cannot proceed to the next step of quantitative scoring. Once the “screening sub-model” selects eligible listed companies, the “scoring sub-model” quantifies their contributions to social value. The “scoring sub-model” comes in three versions: general, finance-specific, and real estate-specific, and includes three primary indicators (objective, method, and effect), nine secondary indicators (value drive, strategy drive, business drive, technological innovation, model innovation, management innovation, economic contribution, social contribution, environmental contribution), 27 tertiary indicators, and 55 quaternary indicators.Additional informationFundingNational Natural Science Foundation of China [No. 72002043]; General Project of Philosophy and Social Sciences of Guangdong Province [GD22CGL42]; Innovation Team Project of Guangdong Provincial Department of Education [2022WCXTD020].
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来源期刊
CiteScore
7.80
自引率
10.00%
发文量
182
期刊介绍: Emerging Markets Finance and Trade publishes research papers on financial and economic aspects of emerging economies. The journal features contributions that are policy oriented and interdisciplinary, employing sound econometric methods, using macro, micro, financial, institutional, and political economy data. Geographical coverage includes emerging market economies of Europe, the Balkans, the Middle East, Asia, Africa, and Latin America. Additionally, the journal will publish thematic issues and occasional special issues featuring selected research papers from major conferences worldwide.
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