What drives the change in China's energy intensity: Combining decomposition analysis and econometric analysis at the provincial level

被引:122
|
作者
Song, Feng [1 ]
Zheng, Xinye [1 ]
机构
[1] Renmin Univ China, Sch Econ, Beijing 100872, Peoples R China
关键词
Energy intensity; Energy price; Policy evaluation; INDEX DECOMPOSITION; EMISSIONS; DETERMINANTS; EFFICIENCY; INDUSTRY;
D O I
10.1016/j.enpol.2012.08.044
中图分类号
F [经济];
学科分类号
02 ;
摘要
We employ decomposition analysis and econometric analysis to investigate the driving forces behind China's changing energy intensity using a provincial-level panel data set for the period from 1995 to 2009. The decomposition analysis indicates that: (a) all of the provinces except for a few experienced efficiency improvement, while around three-fourths of the provinces' economics became more energy intensive or remained unchanged; (b) consequently the efficiency improvement accounts for more than 90% of China's energy intensity change as opposed to the economic structural change. The econometric analysis shows that the rising income plays a significant role in the reduction of energy intensity while the effect of energy price is relatively limited. The result may reflect the urgency of deregulating the price and establishing a market-oriented pricing system in China's energy sector. The implementation of the energy intensity reduction policies in the Eleventh Five-Year Plan (FYP) has helped reverse the increasing trend of energy intensity since 2002. Although the Chinese Government intended to change the industry-led economic growth pattern, it seems that most of the policy effects flow through the efficiency improvement as opposed to the economic structure adjustment. More fundamental changes to the economic structure are needed to achieve more sustainable progress in energy intensity reduction. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:445 / 453
页数:9
相关论文
共 50 条
  • [41] Decomposition analysis of China's electricity intensity with LMDI method
    He, Yongxiu
    Tao, Weijun
    Zhang, Songlei
    Yang, Weihong
    Li, Furong
    INTERNATIONAL JOURNAL OF GLOBAL ENERGY ISSUES, 2009, 32 (1-2) : 34 - 48
  • [42] Convergence analysis of city-level energy intensity in China
    Zhu, Junpeng
    Lin, Boqiang
    ENERGY POLICY, 2020, 139
  • [43] The improvement gap in energy intensity: Analysis of China's thirty provincial regions using the improved DEA (data envelopment analysis) model
    Li, Ke
    Lin, Boqiang
    ENERGY, 2015, 84 : 589 - 599
  • [44] Role of renewable energy in China's energy security and climate change mitigation: An index decomposition analysis
    Wang, Bing
    Wang, Qian
    Wei, Yi-Ming
    Li, Zhi-Ping
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2018, 90 : 187 - 194
  • [45] Analysis on factors of Beijing's energy intensity with structural decomposition
    Zhang J.
    Tang L.
    Li L.
    Yu L.
    Tang, Ling (tangling@mail.buct.edu.cn), 1600, Systems Engineering Society of China (37): : 1201 - 1209
  • [46] Analysis of China's Energy Consumption Results of a structural decomposition analysis
    Liu Chongming
    Yang Yang
    2010 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2010,
  • [47] Contributions to sector-level carbon intensity change: An integrated decomposition analysis
    Wang, Qunwei
    Hang, Ye
    Su, Bin
    Zhou, Peng
    ENERGY ECONOMICS, 2018, 70 : 12 - 25
  • [48] Understanding the energy intensity change in China's food industry: A comprehensive decomposition method
    Xie, Xuan
    Lin, Boqiang
    ENERGY POLICY, 2019, 129 : 53 - 68
  • [49] Empirical Analysis of Provincial Energy Efficiency in China
    Chu Wei Jinlan Ni Manhong Shen Assistant Professor
    China & World Economy, 2009, 17 (05) : 88 - 103
  • [50] What drives energy consumption in Indonesia's manufacturing industry? An analysis of firm-level characteristics
    Zaekhan
    Nachrowi, Nachrowi Djalal
    Hartono, Djoni
    Soetjipto, Widyono
    INTERNATIONAL JOURNAL OF ENERGY SECTOR MANAGEMENT, 2022, 16 (05) : 965 - 984