Optimal structure adjustment strategy, emission reduction potential and utilization efficiency of fossil energies in China

被引:49
作者
Chen, Yingwen [1 ]
Wong, Christina W. Y. [2 ]
Yang, Rui [1 ,3 ]
Miao, Xin [1 ]
机构
[1] Harbin Inst Technol, Sch Management, Harbin 150001, Peoples R China
[2] Hong Kong Polytech Univ, Inst Text & Clothing, Business Div, Hunghom,Kowloon, Hong Kong, Peoples R China
[3] Macquarie Univ, Macquarie Business Sch, Sydney, NSW 2109, Australia
关键词
Energy structure adjustment; Emission reduction; Total-factor energy efficiency (TFEE); Low-carbon economy; Data envelopment analysis (DEA); LOW-CARBON ECONOMY; MALMQUIST PRODUCTIVITY INDEX; SYSTEMS; DECOMPOSITION; PERFORMANCE; PERSPECTIVES; MODEL;
D O I
10.1016/j.energy.2021.121623
中图分类号
O414.1 [热力学];
学科分类号
摘要
From the perspective of low-carbon economy (LCE), this paper explores the optimal structure adjustment strategy, emission reduction potential and utilization efficiency of fossil energies (coal, petroleum, and natural gas) for 30 provinces in China from 2010 to 2019. A mixed integer data envelopment analysis model is proposed to identify the optimal structure adjustment and the potential emission reduction. Then, a new total-factor energy efficiency (TFEE) index based on energy structure adjustment is constructed to statically examine the utilization efficiencies of the three fossil energies. Finally, a novel calculation method of global Malmquist index is presented to dynamically analyze the energy productivity change. The results demonstrate that more than half of the provinces have the potential to reduce coal consumption, while for petroleum and natural gas, the optimal adjustment of different provinces is diverse. The CO2 emission reduction brought about by the energy structure adjustment accounts for about 11% of the emission, and the emission reduction potential of central and western regions is significantly larger than that of eastern region. Technological progress is the main driving of productivity improvement for both LCE and three fossil energies. However, significant differences can be found in the management level of different fossil energies among provinces. (C) 2021 Elsevier Ltd. All rights reserved.
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页数:13
相关论文
共 79 条
[1]   Environmental efficiency evaluation for Xiangjiang River basin cities based on an improved SBM model and Global Malmquist index [J].
An, Qingxian ;
Wu, Qifan ;
Li, Jinlin ;
Xiong, Beibei ;
Chen, Xiaohong .
ENERGY ECONOMICS, 2019, 81 :95-103
[2]  
[Anonymous], 2020, Statistical yearbook of urban and rural
[3]  
[Anonymous], 2020, CHINA EL POW STAT YB
[4]  
[Anonymous], 2020, XINJIANG STAT YB
[5]  
[Anonymous], 2020, CHINA ENERGY STAT YB
[6]  
[Anonymous], 2020, BEIJ STAT YB
[7]   Estimation of potential energy saving and carbon dioxide emission reduction in China based on an extended non-radial DEA approach [J].
Bian, Yiwen ;
He, Ping ;
Xu, Hao .
ENERGY POLICY, 2013, 63 :962-971
[8]   Historical emissions of black and organic carbon aerosol from energy-related combustion, 1850-2000 [J].
Bond, Tami C. ;
Bhardwaj, Ekta ;
Dong, Rong ;
Jogani, Rahil ;
Jung, Soonkyu ;
Roden, Christoph ;
Streets, David G. ;
Trautmann, Nina M. .
GLOBAL BIOGEOCHEMICAL CYCLES, 2007, 21 (02)
[9]  
BP, 2020, Statistical Review of World Energy
[10]   MULTILATERAL COMPARISONS OF OUTPUT, INPUT, AND PRODUCTIVITY USING SUPERLATIVE INDEX NUMBERS [J].
CAVES, DW ;
CHRISTENSEN, LR ;
DIEWERT, WE .
ECONOMIC JOURNAL, 1982, 92 (365) :73-86