TY - JOUR
T1 - The impact of government-enterprise collusion on environmental pollution in China
AU - Hu, Kai
AU - Shi, Daqian
N1 - Funding: Daqian Shi is funded by the key project of philosophy and Social Sciences Research of the Ministry of Education (17JZD022). Kai Hu is supported by a China Scholarship Council PhD studentship (201703780011).
PY - 2021/8/15
Y1 - 2021/8/15
N2 - Pollution emissions in China are associated with the relationship between local governments and enterprises, especially in those cities with government-enterprise collusion (GEC). We evaluate the causal relationships between GEC and SO2 emissions at the enterprise level, by adopting the Propensity Score Matching–Difference in Difference method from a comprehensive environmental database. The empirical results show that, compared with those in the cities without collusion, SO2 emissions of enterprises in the colluded cities increase by 11.3% (95% Confidence Interval (CI): 0.041–0.186). These GEC effects are more substantial in the cities whose regional officials work with longer terms, in the foreign-owned or small-scale enterprises, and the labour-intensive industries. The findings suggest the existing environment and personnel management policies in China should be adjusted for more sustainable development.
AB - Pollution emissions in China are associated with the relationship between local governments and enterprises, especially in those cities with government-enterprise collusion (GEC). We evaluate the causal relationships between GEC and SO2 emissions at the enterprise level, by adopting the Propensity Score Matching–Difference in Difference method from a comprehensive environmental database. The empirical results show that, compared with those in the cities without collusion, SO2 emissions of enterprises in the colluded cities increase by 11.3% (95% Confidence Interval (CI): 0.041–0.186). These GEC effects are more substantial in the cities whose regional officials work with longer terms, in the foreign-owned or small-scale enterprises, and the labour-intensive industries. The findings suggest the existing environment and personnel management policies in China should be adjusted for more sustainable development.
KW - Government-enterprise collusion
KW - Pollution emissions
KW - Propenity score matching
KW - Difference in difference
KW - Chinese political systems
U2 - 10.1016/j.jenvman.2021.112744
DO - 10.1016/j.jenvman.2021.112744
M3 - Article
SN - 0301-4797
VL - 292
JO - Journal of Environmental Management
JF - Journal of Environmental Management
M1 - 112744
ER -
