Research on Green Efficiency of Enterprises based on DEA-Malmquist Index Method
DOI:
https://doi.org/10.54691/89yye638Keywords:
Green Total Factor Productivity; DEA Malmquist; Green Innovation.Abstract
Using the DEA Malmquist index analysis method, panel data from 30 provinces and cities in China from 2166 to 2020 were selected to explore the specific changes in green total factor productivity in the region. And based on this, analyze the regional differences among its provinces. The results indicate that there are regional differences in green total factor productivity within each province, but they are not significant. However, from 2019 to 2020, green total factor productivity showed a downward trend. The conclusion is that in order to further promote the sustainable development of the economy in various provinces in China, it is necessary to increase the progress rate of green technology, thereby improving green total factor productivity, and balancing the efficiency of economic growth and environmental issues.
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[1] Xiang Weiyi, Zhou Xinmiao. Estimation of Green Total Factor Productivity in Zhejiang Province: A Study Based on the DEA-Malmquist Index Method [J]. Science and Technology & Economics, 2019,32(06):61-65.
[2] Ge Shishuai, Zeng Gang, Yang Yang, et al. Research on Green Innovation Performance of Yangtze River Delta Urban Agglomeration Based on DEA-Malmquist and Tobit Models [J]. Yangtze River Basin Resources and Environment, 2022,31(04):738-749.
[3] Zhou Guanglan, Xu Yiru. Evaluation of China's Green Financial Efficiency Based on DEA-Malmquist Index [J]. Shanghai Finance, 2022(09):69-79.
[4] Yang Lisheng, Wang Qian, Chai Xin. Research on Corporate Green Sustainable Innovation Efficiency Based on the SBM-DEA Model [J]. Journal of Yunnan University of Finance and Economics, 2018,34(05):102-112.
[5] Ni Zerui. Trade Opening, Foreign Investment Opening, and Green Total Factor Productivity: Empirical Evidence from 41 Cities in the Yangtze River Delta Region [J]. Journal of East China University of Science and Technology (Social Sciences Edition), 2023,38(05):136-148.
[6] Niu Weijie, Li Xianmiao, Zhou Chuang. Measurement and Evaluation of Industrial Green Total Factor Productivity in Shanxi Province [J]. Journal of Hebei University of Environmental Engineering, 2023,33 (01):16-22.
[7] Liu Xiaodie, Meng Xiangrui. Evaluation of urban total factor energy efficiency in Anhui Province based on DEA-Malmquist [J]. Journal of Heilongjiang Institute of Technology (Comprehensive Edition), 2020,20(06):87-92.
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