Study on voluntary environmental regulation and ESG performance based on PSM-DID model
- DOI
- 10.2991/978-94-6463-490-7_45How to use a DOI?
- Keywords
- voluntary environmental regulation; ESG performance; Executive green cognition,PSM-DID
- Abstract
China's social and economic growth has advanced at an unprecedented rate. However, a number of governance and environmental risk concerns, such as excessive emissions by factories, recurrent safety mishaps, and internal mismanagement, have surfaced in the setting of economic development. The environmental, social, and governance performance of the corporation has grown in importance as a metric for sustainable civilization and development. The government's supporting is also necessary for the green transition since it will encourage businesses to adopt environmental responsibility. Voluntary environmental management is becoming more and more recognized as a cutting-edge policy. In addition, managers’ green perspective contributes to environmental governance and management. This study examines A-share businesses from 2012 to 2022. Through the PSM-DID test and stabilization test, the results show that voluntary environmental regulations can improve the performance of manufacturing enterprises. Tests of the mediation mechanism show that the green vision it manages is an intermediary between voluntary environmental regulations and ESG performance.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yi You PY - 2024 DA - 2024/08/31 TI - Study on voluntary environmental regulation and ESG performance based on PSM-DID model BT - Proceedings of the 2024 3rd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2024) PB - Atlantis Press SP - 407 EP - 415 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-490-7_45 DO - 10.2991/978-94-6463-490-7_45 ID - You2024 ER -