Regional difference and dynamic evolution of development quality of power industry in China

作     者：Sha Yu Yongjian Pu Lefeng Shi Hao Yu Yixiang Huang Sha Yu;Yongjian Pu;Lefeng Shi;Hao Yu;Yixiang Huang

作者机构：School of Economics and Business AdministrationChongqing UniversityChongqing 400044China National Center for Applied Mathematics in ChongqingChongqing Normal UniversityChongqing 401331China College of Economics and ManagementNorthwest A&F UniversityYangling 712100China 

出 版 物：《Chinese Journal of Population,Resources and Environment》 (中国人口·资源与环境（英文版）)

年 卷 期：2023年第21卷第1期

页      面：1-12页

学科分类：02[经济学] 0202[经济学-应用经济学] 020202[经济学-区域经济学] 

基　　金：supported by National Natural Science Foundation of China[Grant number.71673034] Postdoctoral Research Founda‐tion of China[Grant number.2021M692654] Natural Science Basic Research Program of Shaanxi Province[Grant number.2020JQ282] Social Science Foundation of Shaanxi Province[Grant number.2020R042] 

主　　题：Development quality of power industry Regional difference The Dagum Gini Dynamic evolution Kernel density 

摘      要：To achieve the goals of carbon peaking and carbon neutrality and maintain high-quality economic growth,China is currently striving to improve the quality of development of its power *** this regard,revealing the regional differences and evolutionary trends in the development quality of China’power sector has a high value to inspire the next improvement direction toward how to integrate regional power recourses to an overall optimization *** by this purpose,this paper uses the entropy method to evaluate the com‐prehensive and subsystem indices of the development quality of the power industry,and reveals their re‐gional differences and evolutionary trends with the help of the Dagum Gini coefficient and Kernel density es‐timation *** findings show that:There are obvious regional differences in the development quality of China’s power industry,and the differences are steadily declining in all regions except the *** differences are mainly derived from inter-regional differences,with the largest inter-regional differences in the East-Northeast ***-regional differences show a distribution pattern of EastWestNorth‐eastCenter.