Analysis on the Environmental Governance Efficiency of Local Governments in China and Its Influencing Factors
International Journal of Economics, Finance and Management Sciences
Volume 8, Issue 1, February 2020, Pages: 9-19
Received: Nov. 23, 2019;
Published: Jan. 4, 2020
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Qinyun He, School of Public Finance and Tax, Central University of Finance and Economics, Beijing, P. R. China
Chuan Tian, Bank of Weifang, Weifang, P. R. China
Ke Gao, Bank of Weifang, Weifang, P. R. China; School of Social Sciences, Tsinghua University, Beijing, P. R. China
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In this paper, the Three-stage DEA model and Malmquist index method are used to measure the environmental governance efficiency and total factor productivity of 113 cities in China from 2014 to 2017. The empirical results of the Three-stage DEA model show that foreign investment, industrial structure, economic development level, population density, financial pressure and other external factors do have an impact on the efficiency of environmental governance of local governments in China, and seriously underestimate the comprehensive technical efficiency, pure technical efficiency and scale efficiency of environmental governance of local governments. After eliminating the influence of environmental factors and random interference, most cities still have efficiency loss caused by ineffective management. The results of DEA Malmquist index show that the total factor productivity of environmental governance of local governments in China is less than 1 during the sample observation period, which is mainly due to the fact that the comprehensive technical efficiency has not improved and the rate of technological progress has regressed during the observation period. Provincial capital cities suffer more losses than non provincial capital cities due to inefficient resource allocation and management. Therefore, in order to improve the efficiency of environmental governance of local governments in China, we should first improve the efficiency of resource allocation, attach importance to the rational allocation of the scale of resources invested in environmental governance, improve the efficiency of resource allocation and use, and avoid resource waste; secondly, improve the awareness of environmental protection of local governments, and reduce Finally, increase investment in technological innovation, encourage institutional innovation, improve the rate of technological progress, and promote the improvement of total factor productivity.
Environmental Governance Efficiency, Three Stage DEA, Total Factor Productivity
To cite this article
Analysis on the Environmental Governance Efficiency of Local Governments in China and Its Influencing Factors, International Journal of Economics, Finance and Management Sciences.
Vol. 8, No. 1,
2020, pp. 9-19.
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
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Fang Qiaoling, Liu changcui, Xiao Zhendong. Study on the construction of performance evaluation index system of environmental protection expenditure [J]. Audit research, 2010 (03): 22-27.
Wang Limin, Liu Yongliang. Construction of evaluation index system for investment effect of environmental pollution control [J]. Statistics and decision, 2018, 34 (03): 38-43.
Wang Jiajia, Ma Hongfu, Cao Qingfeng, Chen Tianye. The cost-benefit measurement and model selection of regional environmental governance in China: An Empirical Study Based on the data of 30 provinces and regions [J]. Economist, 2017 (06): 67-77.
Cheng Liang, Wu shunze, sun Ning, Yun Yuantang. On the construction of the performance evaluation index system of the central environmental protection special fund project [J]. Environmental science and management, 2010, 35 (11): 189-194.
Wang Bing. Establishment of evaluation system of environmental protection fiscal expenditure efficiency in Shandong Province [J]. Local finance research, 2012 (10): 46-48 + 59.
Sun Jing, Ma Haitao, Wang Hongmei. Fiscal decentralization, policy coordination and air pollution control efficiency-Based on the panel data analysis of Beijing Tianjin Hebei and its surrounding areas [J]. China soft science, 2019 (08): 154-165.
Wen ychun, Wu yingzi. Empirical analysis on the comprehensive efficiency of environmental protection investment based on DEA model [J]. Journal of Tongji University (SOCIAL SCIENCE EDITION), 2012, 23 (01): 111-115.
Yuan Haoming, Zhang Xiayi, sun Yongqiang. Environmental law, fiscal decentralization and environmental protection investment efficiency [J]. Research on financial issues, 2018 (03): 87-94.
Yang Qingshan, Zhang Yu, Li Yajun. Environmental efficiency evaluation of urban agglomeration in Northeast China based on DEA [J]. Economic geography, 2012, 32 (09): 51-55 + 60.
Liu Qianzhi, Li Lan. Measurement of environmental protection expenditure efficiency in the Yangtze River economic belt [J]. Industrial technology economy, 2018, 37 (12): 45-51.
Yang Jun, Lu Yujia. Investment efficiency of China's environmental governance based on Three-stage DEA [J]. Journal of systems engineering, 2012, 27 (05): 699-711.
Mao Hui, GuoPengyu, Yang Zhiqian. Emission reduction effect of environmental governance investment: regional differences and structural characteristics [J]. Macroeconomic research, 2014 (05): 75-82.
Zhang Juntao, Tang Rui. Study on the efficiency of urban environmental governance and its influencing factors [J]. Research on financial issues, 2019 (06): 131-138.
BaoGuoxian, Guan bin. Will financial pressure reduce the efficiency of environmental governance of local governments -a mediated model [J]. Population, resources and environment, 2019, 29 (04): 38-48.