Research Article
An Empirical Study of China’s Environmental Economic Policy and the Effect of Industrial Green Transformation—Based on Data Envelopment Analysis Model
@INPROCEEDINGS{10.4108/eai.17-6-2022.2322872, author={Jianfei Shen and Hong Sun and Ruici Yang and Jiaxin Shao}, title={An Empirical Study of China’s Environmental Economic Policy and the Effect of Industrial Green Transformation---Based on Data Envelopment Analysis Model}, proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China}, publisher={EAI}, proceedings_a={ICIDC}, year={2022}, month={10}, keywords={green economy; environmental economic policy; factor analysis; fixed effects model; data mining}, doi={10.4108/eai.17-6-2022.2322872} }- Jianfei Shen
Hong Sun
Ruici Yang
Jiaxin Shao
Year: 2022
An Empirical Study of China’s Environmental Economic Policy and the Effect of Industrial Green Transformation—Based on Data Envelopment Analysis Model
ICIDC
EAI
DOI: 10.4108/eai.17-6-2022.2322872
Abstract
As the world’s environmental problems become increasingly prominent, countries are paying more attention to the environment and energy. Under the background of the national "14th Five-Year Plan" strategy, China has successively introduced a series of environmental and economic policies aimed at key pollutant emission industries. Guide and encourage high-polluting and high-emission enterprises to develop a green economy, while various environmental and economic policies have different effects on the green transformation of enterprises in different regions. Therefore, Based on regional heterogeneity, the effects of environmental economic policies on the green transformation of the energy industry are investigated in this study. This is essential for enhancing the difference, coordination, complementarity, and pertinence of policies, contributing to comprehensively improving the promotion of environmental economic policies to the green transformation of the energy industry significance. Besides, Based on the panel data of 30 provinces in China from 2008 to 2019, this paper conducts in-depth data mining on it, filters useful information, uses data envelopment analysis (DEA) to calculate the total factor productivity of industrial green in each province, and determines the key driving factors for industrial green transformation .
