业务
中国
环境污染
转化(遗传学)
污染
数字化转型
重工业
会计
环境科学
环境保护
经济
地理
生态学
法学
政治学
市场经济
考古
基因
生物化学
生物
化学
作者
Wenqiu Zhang,Junli Zhao
标识
DOI:10.1016/j.iref.2023.06.001
摘要
This study comprises an empirical analysis of how digital transformation affects environmental performance after constructing a multidimensional evaluation framework to measure environmental performance. It used firm-level panel data of Chinese listed companies in heavy-pollution industries obtained from the China Stock Market & Accounting Research (CSMAR) database from 2010 to 2020. We found that the impact of digital transformation on enterprises’ environmental performance shows a significant U-shaped non-linear feature moderated by environmental disclosure, including the channel and quality. We also found that green innovation has a significant single-threshold effect on non-linear relationships. Furthermore, heterogeneity examination showed that the digital transformation of production and warehousing can promote environmental performance more effectively. Overall, our findings provide implications for exploring the unexplored field of environmental management through digital transformation, concerning both heavy-polluting enterprises and government regulators, to achieve carbon peaking and carbon neutrality goals.
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