Driving Factors and Control Strategies of the Environmental Pollution Litigation Cases in China

Environmental pollution litigation cases (EPLCs) are experiencing a significant upward trend attributable to the extensive discharge of pollutants in China. However, the driving factors of EPLCs remain ambiguous. Herein, a comprehensive research framework is established by using the logarithmic mean divisia index (LMDI) method for investigating the driving factors of China’s EPLCs. The provinces of Henan, Jilin, Shandong, Zhejiang, Jiangsu, and Guangdong stand out as the regions with the highest number of EPLCs. The GDP per capita and incidence rate promote the incidence of EPLCs, while emission intensity and emission intensity per unit area inhibit the occurrence of EPLCs. Population and population density have less impact on EPLCs. These findings should serve as references for controlling the occurrence of EPLCs in different provinces in China.

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Publication Details

Journal
Sustainability
Published
2024-11-07
DOI
https://doi.org/10.3390/su16229701
Primary Topic
Environmental Impact and Sustainability
Type
article
Field-Weighted Citation Impact
0.00

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article

Driving Factors and Control Strategies of the Environmental Pollution Litigation Cases in China

Zhiyuan Duan, Xueyan Chen, Jiaxu Zhou, Haiyan Duan et al.
Sustainability
Environmental Impact and Sustainability
article

Driving Factors and Control Strategies of the Environmental Pollution Litigation Cases in China

Zhiyuan Duan, Xueyan Chen, Jiaxu Zhou, Haiyan Duan, Bailin He, Bing Liu
article en

Abstract

Environmental pollution litigation cases (EPLCs) are experiencing a significant upward trend attributable to the extensive discharge of pollutants in China. However, the driving factors of EPLCs remain ambiguous. Herein, a comprehensive research framework is established by using the logarithmic mean divisia index (LMDI) method for investigating the driving factors of China’s EPLCs. The provinces of Henan, Jilin, Shandong, Zhejiang, Jiangsu, and Guangdong stand out as the regions with the highest number of EPLCs. The GDP per capita and incidence rate promote the incidence of EPLCs, while emission intensity and emission intensity per unit area inhibit the occurrence of EPLCs. Population and population density have less impact on EPLCs. These findings should serve as references for controlling the occurrence of EPLCs in different provinces in China.

SustainabilityVol. 16(22)
Shandong University (CN), Jilin University (CN)
Natural Science Foundation of Jilin Province, People's Government of Jilin Province
Openalex Percentile: Top 82%
Environmental Impact and Sustainability
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