Law Reinforcement, Production Pattern and Enterprise Environmental Performance: Evidence from Environmental Courts in China

被引:3
|
作者
Zhu, Dandan [1 ]
Tao, Xinping [2 ]
Huang, Meibo [3 ]
机构
[1] Sichuan Agr Univ, Sch Econ, Chengdu 611130, Peoples R China
[2] Xinjiang Agr Univ, Sch Econ & Management, Urumqi 830052, Peoples R China
[3] Shanghai Univ Int Business & Econ, Inst Int Business, Shanghai 201620, Peoples R China
关键词
air pollution; law reinforcement; enterprise environmental performance; environmental court; difference-in-differences; POLLUTION REGULATION; ENFORCEMENT; COMMAND; LAND;
D O I
10.3390/su15054440
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Law reinforcement agencies can be established to improve enterprise environmental performance, a determinant of sustainable growth, but their micropractical evaluation is unclear. This paper uses panel data (1998-2014) from the Chinese Industrial Enterprise Pollution Database and the Chinese Industrial Enterprise Database and adopts the multiperiod difference-in-differences (DID) method to investigate the impact of law reinforcement on enterprise environmental performance (measured by air pollutant emissions). Using the establishment of China's city-level environmental courts (ECs) as an identification strategy, the study finds a strong positive effect of EC establishment on firms' environmental performance and confirms the validity of law reinforcement. Furthermore, the effects are heterogeneous for firms with different characteristics (including scale, profit, ownership, pollution intensity and location). Notably, we find that firms improve their environmental performance by changing their production pattern and energy consumption structure. Additionally, ECs could influence firms' environmental behaviors by enhancing judicial efficiency and generating a deterrence effect. These findings show the government could improve enterprises' environmental performance through law reinforcement but should consider the heterogeneous effect on different firms.
引用
收藏
页数:20
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