A differentiated energy Kuznets curve: Evidence from mainland China

被引:30
作者
Wang, Zhibao [1 ]
Zhao, Nana [1 ]
Wei, Wendong [2 ,3 ]
Zhang, Qianwen [1 ]
机构
[1] Shandong Normal Univ, Coll Geog & Environm, Jinan, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Int & Publ Affairs, Shanghai, Peoples R China
[3] Shanghai Jiao Tong Univ, SJTU UNIDO Joint Inst Inclus & Sustainable Ind De, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
Differentiated energy Kuznets curve; Influential mechanism; Technical progress; Mainland China;
D O I
10.1016/j.energy.2020.118942
中图分类号
O414.1 [热力学];
学科分类号
摘要
The differentiated research of energy consumption has important practical and theoretical significance. For this purpose, this paper constructs a differentiated energy Kuznets curve (EKC) and a Cobb-Douglas production function based on provincial time series data to analyse the evolution of the influential mechanism on mainland China's economic development. Mainland China's energy intensity first increases and then decreases and shows an asymmetric inverted U-shaped curve. There are also significant differences in various provinces' EKCs. The starting points, inflection points and evolution trajectories of these EKCs are different among mainland China's provinces. When the economic level at the inflection point is higher, the energy intensity will be lower. The reason for these differences in various provinces' EKCs is that the unit energy consumption variation (UE) and the total energy consumption increase value (TE) in various Class production functions are different. Specifically, the contribution of energy input and technical progress to economic development is significant, while energy consumption is still the factor that drives economic development in most of mainland China's provinces. (c) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:11
相关论文
共 62 条
[51]   Decoupling relationship between energy consumption and economic growth in China's provinces from the perspective of resource security [J].
Wei, Wendong ;
Cai, Wenqiu ;
Guo, Yi ;
Bai, Caiquan ;
Yang, Luzhen .
RESOURCES POLICY, 2020, 68
[52]   Unbalanced economic benefits and the electricity-related carbon emissions embodied in China's interprovincial trade [J].
Wei, Wendong ;
Hao, Shaojie ;
Yao, Mingtao ;
Chen, Wen ;
Wang, Shanshan ;
Wang, Zhiyou ;
Wang, Yue ;
Zhang, Pengfei .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2020, 263
[53]   Multi-scope electricity-related carbon emissions accounting: A case study of Shanghai [J].
Wei, Wendong ;
Zhang, Pengfei ;
Yao, Mingtao ;
Xue, Min ;
Miao, Jiawen ;
Liu, Bin ;
Wang, Fei .
JOURNAL OF CLEANER PRODUCTION, 2020, 252
[54]   Disaggregated industrial energy consumption and GDP: the case of Shanghai, 1952-1999 [J].
Wolde-Rufael, Y .
ENERGY ECONOMICS, 2004, 26 (01) :69-75
[55]   Is there an EKC between economic growth and smog pollution in China? New evidence from semiparametric spatial autoregressive models [J].
Xie, Qichang ;
Xu, Xin ;
Liu, Xiaqing .
JOURNAL OF CLEANER PRODUCTION, 2019, 220 :873-883
[56]  
Yu E., 1985, J ENERGY DEV, V10, P249, DOI DOI 10.1016/0360-5442(85)90045-3
[57]   Retesting the causality between energy consumption and GDP in China: Evidence from sectoral and regional analyses using dynamic panel data [J].
Zhang, Chuanguo ;
Xu, Jiao .
ENERGY ECONOMICS, 2012, 34 (06) :1782-1789
[58]   Urban carbon emissions associated with electricity consumption in Beijing and the driving factors [J].
Zhang, Pengfei ;
Cai, Wenqiu ;
Yao, Mingtao ;
Wang, Zhiyou ;
Yang, Luzhen ;
Wei, Wendong .
APPLIED ENERGY, 2020, 275
[59]   Energy consumption, carbon emissions, and economic growth in China [J].
Zhang, Xing-Ping ;
Cheng, Xiao-Mei .
ECOLOGICAL ECONOMICS, 2009, 68 (10) :2706-2712
[60]   Spatial-temporal pattern evolution and driving factors of China's energy efficiency under low-carbon economy [J].
Zhang, Yan ;
Wang, Wei ;
Liang, Longwu ;
Wang, Daoping ;
Cui, Xianghe ;
Wei, Wendong .
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 739