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Dynamic changes and convergence of China's regional green productivity:A dynamic spatial econometric analysis

作     者:Xu-Quan ZHAI Rui XUE Bin HE Dong YANG Xiang-Yu PEI Xian LI Yuli SHAN Xu-Quan ZHAI;Rui XUE;Bin HE;Dong YANG;Xiang-Yu PEI;Xian LI;Yuli SHAN

作者机构:Research Center for Socialism with Chinese CharacteristicsZhejiang UniversityHangzhou 310058China Centre for Corporate Sustainability and Environmental FinanceDepartment of Applied FinanceMacquarie UniversitySydney 2109Australia China Center for Public Sector Economic ResearchJilin UniversityChangchun 130012China School of StatisticsSouthwestern University of Finance and EconomicsChengdu 611130China School of EconomicsJilin UniversityChangchun 130012China College of TextileDonghua UniversityShanghai 201620China Integrated Research on EnergyEnvironment and Society(IREES)Energy and Sustainability Research Institute GroningenUniversity of GroningenGroningen 9747 AGthe Netherlands 

出 版 物:《Advances in Climate Change Research》 (气候变化研究进展(英文版))

年 卷 期:2022年第13卷第2期

页      面:266-278页

核心收录:

学科分类:083001[工学-环境科学] 0830[工学-环境科学与工程(可授工学、理学、农学学位)] 08[工学] 

基  金:supported by the Humanities and Social Science Fund of Ministry of Education of the People's Republic of China(19YJC790044) 

主  题:Green productivity Slacks-based measure of directional distance function(SBM-DDF) Malmquist-Luenberger(ML)index Conditionalβ-convergence Spatial econometrics Carbon neutrality 

摘      要:Low-carbon economic development is at the heart of the post-pandemic green recovery scheme *** requires economic recovery without compromising on the environment,implying a critical role that green productivity plays in achieving the carbon neutrality *** productivity measures the quality of economic growth with consideration for energy consumption and environmental *** study employs the slacks-based measure directional distance function(SBM-DDF)approach and the Malmquist-Luenberger(ML)index to calculate green productivity and its components of 30 provinces in China between 2001 and *** a spatial panel data model,we empirically analyzed the conditionalβ-convergence of China s green *** found that overall,since 2001,China s green productivity has demonstrated a continuous upward *** taking into account spatial factors,China s green productivity demonstrates a significant conditionalβ-*** terms of regional effects,the results indicate that the green productivity of the eastern and western regions demonstrates club convergence,implying a more balanced green economic ***,the convergence rate of China s green productivity increases with the addition of environmental regulation variable,and so the corresponding convergence time *** indicates that environmental regulations help to facilitate the convergence of China s green productivity,narrowing the gap between the regional green economic *** findings provide guideline for achieving a low-carbon development and carbon neutrality from a regional green productivity perspective.

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