Research Article

Predictors of Chemical Enterprise Green Performance

141 reads
Psych Educ Multidisc J, 2025, 49 (7), 857-868, doi: 10.70838/pemj.490701, ISSN 2822-4353

Abstract

The study examines the determinants of green performance among China's chemical enterprises from 2018 to 2023, with an emphasis on the mediating role of Environmental, Social, and Governance (ESG) practices. Drawing on panel data of 478 listed chemical firms, a two-way fixed effects model was employed to examine how firm characteristics, namely enterprise size, type, and age, affect green performance. The results reveal that larger and more mature enterprises exhibit significantly higher levels of green performance, supported by economies of scale, technological advancements, and effective governance. Moreover, ESG practices act as a critical mediating mechanism that strengthens the positive relationship between enterprise characteristics and green performance. Robustness and endogeneity tests confirm the stability of these findings. Heterogeneity analysis further indicates that the positive effects are more pronounced in state-owned enterprises, firms in central and western China, and those classified as high-tech or "specialized, refined, unique, and new" enterprises. The research underscores that organizational capability and ESG integration are essential drivers of sustainable transformation in the chemical industry. These findings offer theoretical and empirical guidance for policymakers to develop differentiated regulatory measures and for enterprises to enhance their green competitiveness in alignment with China's "dual carbon" goals.

Keywords: job satisfaction, turnover intention, Quality of Work Life, Non-Teaching, higher academic institution

Blockchain Confirmation

Loading...
If you want to upload this article to SciMatic Hybrid Blockchain, install MetaMask extension to your web browser, create a wallet and buy SCI coins at SciMatic using credit or contact your country coordinator.
One article costs 10 SCI coins to be in the Blockchain. Buy SCI Coins

Bibliographic Information

Hui Wang, Althea Denuevo, (2025). Predictors of Chemical Enterprise Green Performance, Psychology and Education: A Multidisciplinary Journal, 49(7): 857-868
Bibtex Citation
@article{hui_wang2025pemj,
author = {Hui Wang and Althea Denuevo},
title = {Predictors of Chemical Enterprise Green Performance},
journal = {Psychology and Education: A Multidisciplinary Journal},
year = {2025},
volume = {49},
number = {7},
pages = {857-868},
doi = {10.70838/pemj.490701},
url = {https://scimatic.org/show_manuscript/6777}
}
APA Citation
Wang, H., Denuevo, A., (2025). Predictors of Chemical Enterprise Green Performance. Psychology and Education: A Multidisciplinary Journal, 49(7), 857-868. https://doi.org/10.70838/pemj.490701

Author Information

  • To change your profile photo, login to scimatic.org, go to your profile and change the photo.
  • Provide a face photo, and not full body.
  • It is better to remove the background from your photo. Go to Remove Background and then upload to profile
  • If you are unable to login, go to Reset My Password provide your email registered with the article and get new password.
  • In case of any other problem, contact your editor directly or write to us at info @ scimatic.org