The Study on the impact of clean energy development on green economy
DOI:
https://doi.org/10.54097/hbem.v5i.5138Keywords:
Clean Energy, Green Economy, Tobit, TOPSIS.Abstract
Based on the data from 2010-2020 in China, the green economy development index evaluation system is constructed through three dimensions of social life, economic development situation and ecological environment, and the entropy value method is used to measure the level of green economy development, and the panel Tobit model is used for regression analysis. The study shows that clean energy has a significant promotion effect on the improvement of green economy; the per capita clean energy power generation, local financial general budget expenditure, and the value-added index of tertiary industry all show a positive promotion effect on the development of green economy; the daily treatment capacity of urban sewage, electricity consumption and the development of green economy all show an inverse relationship. Therefore, the country should accelerate the construction of energy modernization industrial system, improve people's clean energy usage, and then promote the development of green economy.
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References
Zeng Fanhua, Xiao Suyang. The impact of digital finance on the efficiency of urban green economy [J]. Statistics and Decision Making, 2022, 38(15): 144-148.
Fei Guan, Xing Gao, Maicheng Li. Digital inclusive finance, innovation drive and regional green economic growth [J]. Credit, 2022, 40(08): 63-74.
Yang Chieh, Zhao Ying, Zhang Rongguang, Wang Jiaju. Government innovation preference, industrial structure optimization and green economy development level [J]. Statistics and Decision Making, 2022, 38(19): 169-173.
Zhou Yingling, Zhang Zhiyong. Evaluation of human capital and green economic growth coupling coordination and obstacle factor diagnosis--a test based on data of 108 prefecture-level cities in Yangtze River Economic Belt [J]. Journal of Huainan Normal College, 2022, 24(05): 27-33.
Wang F, Li Tengxiang, Chen Jinguo, Liu Juan, Wu Congxin. Population density, energy consumption and green economic development-an empirical analysis based on provincial panel data [J]. Arid Zone Resources and Environment, 2017, 31 (01): 6-12.
Ren Yangjun, Qi Yingxiu, Liang Dong. The impact of productive service industry agglomeration on urban green economic efficiency [J]. Statistics and Decision Making, 2022, 38(19): 120-123.
Liu, Haoran. Research on green economy efficiency measurement and influencing factors in Beijing-Tianjin-Hebei region - an analysis based on super-efficient SBM and Tobit model [J/OL]. Ecological Economy: 1-15 [2022-11-09]
Xue, K. Y. Comprehensive evaluation of green economic development of cities in the middle reaches of Yangtze River based on entropy value method [J]. China Market, 2022(22): 30-32.
Zhang Zhihua, He Jianfeng. Digital inclusive finance and urban green economic growth--a research perspective based on spatial spillover [J]. Journal of Statistics, 2022, 3(05): 10-19.
Wu Ying-Ning, Wang Zhang-Lin. A study on the coordination degree of big data development and green economy efficiency--based on provincial panel data [J]. Journal of Changchun University, 2022, 32(09): 21-30.
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