Environmental justice, corporate green total factor productivity, and pollution control: A quasi-natural experiment based on the establishment of environmental courts

This study examines the intrinsic relationship between environmental justice, corporate green total factor productivity, and pollution control, using a sample of Chinese A-share listed companies from 2008 to 2022. Leveraging the establishment of environmental courts as a quasi-natural experiment, the study conducts an in-depth analysis. Empirical results reveal a significant positive correlation between environmental justice and corporate pollution control. Heterogeneity tests indicate that the impact of environmental justice on corporate pollution control varies between heavily polluting firms and lightly polluting firms. Similarly, this impact exhibits heterogeneity between companies receiving standard audit opinions and those receiving non-standard audit opinions. Furthermore, the analysis of moderating effects shows that corporate green total factor productivity plays a moderating role in the relationship between environmental justice and corporate pollution control, with this moderating effect differing between profitable and loss-making firms. This study provides empirical evidence to better understand the complex relationship among environmental justice, corporate green total factor productivity, and pollution control, offering valuable insights for improving the environmental justice system and promoting corporate green development.

Authors

Institutions

Publication Details

Journal
International Review of Economics & Finance
Published
2025-04-24
DOI
https://doi.org/10.1016/j.iref.2025.104126
Citations
3
Primary Topic
Regulation and Compliance Studies
Type
article
Field-Weighted Citation Impact
6.68
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Environmental justice, corporate green total factor productivity, and pollution control: A quasi-natural experiment based on the establishment of environmental courts

X Zhang, M. James You
3 citations
International Review of Economics & Finance
Regulation and Compliance Studies
6.68
article

Environmental justice, corporate green total factor productivity, and pollution control: A quasi-natural experiment based on the establishment of environmental courts

X Zhang, M. James You
article en
3 citations

Abstract

This study examines the intrinsic relationship between environmental justice, corporate green total factor productivity, and pollution control, using a sample of Chinese A-share listed companies from 2008 to 2022. Leveraging the establishment of environmental courts as a quasi-natural experiment, the study conducts an in-depth analysis. Empirical results reveal a significant positive correlation between environmental justice and corporate pollution control. Heterogeneity tests indicate that the impact of environmental justice on corporate pollution control varies between heavily polluting firms and lightly polluting firms. Similarly, this impact exhibits heterogeneity between companies receiving standard audit opinions and those receiving non-standard audit opinions. Furthermore, the analysis of moderating effects shows that corporate green total factor productivity plays a moderating role in the relationship between environmental justice and corporate pollution control, with this moderating effect differing between profitable and loss-making firms. This study provides empirical evidence to better understand the complex relationship among environmental justice, corporate green total factor productivity, and pollution control, offering valuable insights for improving the environmental justice system and promoting corporate green development.

International Review of Economics & FinanceVol. 100
Southwest University of Political Science & Law (CN), Nanyang Normal University (CN)
Openalex Percentile: Top 4%
Regulation and Compliance Studies
6.68
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.