Decomposition and convergence analysis of industrial energy consumption in the Yangtze River Delta

被引:0
作者
Dongying Sun
Shijie Wang
Gang Tian
Gang Liu
机构
[1] Jiangsu University,School of Management
[2] Tianjin University,College of Management and Economics
[3] Hohai University,Institute of Management Science
来源
Stochastic Environmental Research and Risk Assessment | 2023年 / 37卷
关键词
Industrial energy consumption; Spatiotemporal characteristics; LMDI model; Convergence analysis;
D O I
暂无
中图分类号
学科分类号
摘要
Based on China’s policy of double control of energy consumption, this study adopts the Logarithmic Mean Divisia Index model to explore the potential factors driving the changes in industrial energy consumption in the Yangtze River Delta during 2005–2019. Moreover, the convergence in energy intensity is also tested with sigma, beta, and stochastic convergence methods. The results are as follows: (1) The economic output effect was the largest contributor to the increase in energy consumption, followed by the population size effect, whereas the industrial structure effect was the dominant factor in reducing energy consumption over the same period. For the four effects, the contribution of the energy intensity effect to the reduction of the total effect was greatest, occupying the overwhelming proportion of 117%. (2) The industrial energy intensity in the Yangtze River Delta exhibits varying degrees of convergence in its distribution. (3) The foreign direct investment and industrialization level make no contribution to the convergence of energy intensity. Based on obtained results, this study then provides targeted policy recommendations to effectively manage energy consumption.
引用
收藏
页码:3149 / 3162
页数:13
相关论文
共 87 条
[1]  
Abid M(2019)Stochastic convergence in US disaggregated gas consumption at the sector level J Nat Gas Sci Eng 61 357-368
[2]  
Alimi M(2005)The LMDI approach to decomposition analysis: a practical guide Energy Policy 33 867-871
[3]  
Ang BW(2015)LMDI decomposition approach: a guide for implementation Energy Policy 86 233-238
[4]  
Ang BW(2011)Does natural gas consumption follow a nonlinear path over time? Evidence from 50 US States Renew Sustain Energy Rev 15 4466-4469
[5]  
Aslan A(2009)Panel unit root tests under cross-sectional dependence: an overview J Stat Adv Theory Appl 1 117-158
[6]  
Barbieri L(2016)Energy production in Brazil: empirical facts based on persistence, seasonality and breaks Energy Econ 54 88-95
[7]  
Barros CP(1995)Convergence in international output J Appl Econom 10 97-108
[8]  
Gil-Alana LA(1996)Interpreting tests of the convergence hypothesis J Econom 71 161-173
[9]  
Wanke P(2022)Panel unit-root tests with structural breaks Stand Genom Sci 22 664-678
[10]  
Bernard AB(2015)Logarithmic mean Divisia index (LMDI) decomposition of coal consumption in China based on the energy allocation diagram of coal flows Energy 85 366-378