详细信息
The relationship between geographic distance to environmental protection agencies and industrial pollution emissions
文献类型:期刊文献
英文题名:The relationship between geographic distance to environmental protection agencies and industrial pollution emissions
作者:Shi, Daqian[1];Hu, Kai[2]
机构:[1]Wuhan Univ Sci & Technol, Sch Law & Econ, Wuhan, Peoples R China;[2]East China Univ Sci & Technol, Sch Social & Publ Adm, Dept Sociol, 130 Meilong Rd, Shanghai 200237, Peoples R China
年份:2025
卷号:141
期号:3-4
起止页码:440
外文期刊名:SCOTTISH GEOGRAPHICAL JOURNAL
收录:;WOS:【SSCI(收录号:WOS:001379950900001)】;
基金:The authors are very grateful to the editors and the two referees for carefully reading this paper and their useful comments and suggestions.
语种:英文
外文关键词:Geographic distance; SO2 emissions; environmental governance; regional management; collusion
摘要:The distance between governments and firms is associated with firms' economic activities, while the association of geographic proximity to environmental agencies with industrial pollution emissions is unclear. To explore the effects of geographic distance on firms' pollution emissions, we use the fixed-effect models with data from the China Industrial Enterprise Database. Our results show that the firms located further away from environmental agencies release more SO2 (beta = 0.102, p < 0.01) than those close to those environmental agencies. Subsequent investigations reveal that geographic distance has a positive correlation with the short-term performance of firms (total production value and fixed investment) but a negative correlation with firms' long-term performance (green innovation, technological updates and clean energy use). Heterogeneous checks show that the influence of geographic distance on SO2 emissions is mainly found in non-local firms, suggesting a possibility of collusion between proximate firms and local government. This study highlights how the firm-agency distance relation affects pollution emissions and suggests that policymakers should consider more efficient instruments for environmental management.
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