期刊
ENERGY ECONOMICS
卷 110, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.eneco.2022.106032
关键词
Difference-in-difference model; Enterprise GTFP; Green transition; Quantitative textual analysis; Urban environmental legislation
类别
资金
- Major Program of the National Fund of Philosophy and Social Science of China [21ZD109]
- Key Program of National Natural Science Foundation of China [71934005]
- General Program of National Natural Science Foundation of China [72074186, 71673230, 71773051]
- National Social Science Foundation of China [21BJL102]
This paper uses a dynamic slack-based measure model to calculate an enterprise's green total factor productivity (GTFP) and investigates the impact of urban environmental legislation on the green transition of enterprises. The results show that implementing urban environmental legislation significantly improves the GTFP of enterprises, especially for non-state-owned enterprises, enterprises with low financing constraints, and enterprises located in specific regions.
This paper uses a dynamic slack-based measure (DSBM) model to calculate an enterprise's green total factor productivity (GTFP), used as the proxy variable for measuring the enterprise's green transition. We use urban environmental legislation as a quasi-natural experiment and introduce it into a partial equilibrium analysis framework for heterogeneous enterprises and theoretically reveal the mechanism in how urban environmental legislation affects enterprises' GTFP. The results show that implementing urban environmental legislation can significantly improve the GTFP of enterprises. This conclusion remains robust to multiple scenarios. Our heterogeneity analyses show that urban environmental legislation has a relatively significant impact on non-stateowned enterprises, enterprises with low financing constraints, enterprises located in Two Control Zones and Central Plains Urban Agglomeration. Compared with the ex-post-facto treatment of pollutants through abatement, encouraging enterprises to increase investment in prevention is more conducive to improving enterprise GTFP. Further inspection shows that environmental legislation on the prevention of water, air, and solid waste pollutants has a greater impact on enterprise GTFP. In addition, this paper uses a simhash algorithm to quantify the 662 laws, finding that the improvement effect on enterprise GTFP is more significant with increasing intensity in urban environmental legislation.
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