Research Article

Predictors of Chemical Enterprise Green Performance

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Psych Educ Multidisc J, 2025, 49 (7), 857-868, DOI: https://doi.org/10.70838/pemj.490701, ISSN 2822-4353
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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
Authors 2

The team behind this paper

2 authors, 1 institution.

This paper Central Philippine University — Philippines Central Philippine Univ… 2 authors Hui Wang — corresponding author HW Hui Wang ✉ Althea Denuevo AD Althea Denuevo

Readership

305 reads over 12 months.

November 2025 October 2026

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This article is token #6777 of SciMatic Articles (ERC-1155): 1,000,000 tokens, minted once, never more. The chain also stores a fingerprint (SHA-256) of the article's record, so anyone can check that it has not been altered.

HolderWalletTokens
SciMatic 0xc35709…277732 100,000 (10%)
Hui Wang 0xCe216b…B6e6EF 450,000 (45%)
Althea Denuevo 0xd423e7…65267b 450,000 (45%)
Content hash 0x5ee350b6758ca27e6eea613a79d42566ff82440b508cce4c9604e7aaf68073ea

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/index.php/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

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