Assessment of energy poverty convergence: A global analysis

被引:41
作者
Salman, Muhammad [1 ]
Zha, Donglan [1 ]
Wang, Guimei [2 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing 211106, Peoples R China
[2] Zhejiang Gongshang Univ, Sch Stat & Math, Hangzhou 310018, Peoples R China
基金
中国国家自然科学基金;
关键词
Energy poverty; Convergence; Catch-up effect; Transition paths; GRA-SRA method; CONDITIONAL CONVERGENCE; STOCHASTIC CONVERGENCE; CONSUMPTION; GROWTH; TRANSITION; INTENSITY;
D O I
10.1016/j.energy.2022.124579
中图分类号
O414.1 [热力学];
学科分类号
摘要
This study uncovers a fresh global evidence of energy poverty and its convergence in 146 countries over the period 2002-2018. We measure a multidimensional energy poverty index (MEPI) based on 13 indicators classified into three energy dimensions (affordability, cleanability, and availability) through the Grey Relational Analysis and Sequential Relational Analysis. We further adopt a robust systematic model of convergence approach developed by Phillips and Sul (PS) to identify the con/divergent in energy poverty. We set an average MEPI of 33 developed countries of OECD as frontier countries and assess the catch-up effect in energy poverty across 113 developing countries. The results show that there is a considerable heterogeneity in energy poverty between developed and developing countries. However, developing countries experienced continuous improvement in energy poverty after 2008. Region-based results demonstrate that Africa, South Asia and Central Asia remained the energy poor among other regions. The results of PS test identify the formation of six clubs, indicating that six groups of countries are converging towards distinct steady states for energy poverty. The convergence speed for the developing countries for a whole sample was 0.575. Our results suggest that there is an urgent need for energy policy activities by solving the structural inconsistencies of the energy infrastructures across both developed and developing countries while addressing vulnerabilities such as race, gender, age, physical disability, socio-economic status, etc. (C) 2022 Elsevier Ltd. All rights reserved.
引用
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页数:16
相关论文
共 71 条
  • [31] Energy consumption and CO2 emissions convergence in European Union member countries. A tonneau des Danaides?
    Kounetas, Konstantinos Elias
    [J]. ENERGY ECONOMICS, 2018, 69 : 111 - 127
  • [32] On the non-convergence of energy intensities: Evidence from a pair-wise econometric approach
    Le Pen, Yannick
    Sevi, Benoit
    [J]. ECOLOGICAL ECONOMICS, 2010, 69 (03) : 641 - 650
  • [33] Lee K, 1997, J APPL ECONOM, V12, P357, DOI 10.1002/(SICI)1099-1255(199707)12:4<357::AID-JAE441>3.3.CO
  • [34] 2-K
  • [35] Energy efficiency in OECD and non-OECD countries: estimates and convergence
    Liddle, Brantley
    Sadorsky, Perry
    [J]. ENERGY EFFICIENCY, 2021, 14 (07)
  • [36] Impact of China's new-type urbanization on energy intensity: A city-level analysis
    Lin, Boqiang
    Zhu, Junpeng
    [J]. ENERGY ECONOMICS, 2021, 99
  • [37] Convergence of energy carbon emission efficiency: evidence from manufacturing sub-sectors in China
    Liu, Dongdong
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (21) : 31133 - 31147
  • [38] Convergence of the world's energy use
    Liu, Tie-Ying
    Lee, Chien-Chiang
    [J]. RESOURCE AND ENERGY ECONOMICS, 2020, 62
  • [39] Energy intensity in transition economies: Is there convergence towards the EU average?
    Markandya, A
    Pedroso-Galinato, S
    Streimikiene, D
    [J]. ENERGY ECONOMICS, 2006, 28 (01) : 121 - 145
  • [40] Implications and Measurement of Energy Poverty across the European Union
    Maxim, Alexandru
    Mihai, Costica
    Apostoaie, Constantin-Marius
    Popescu, Cristian
    Istrate, Costel
    Bostan, Ionel
    [J]. SUSTAINABILITY, 2016, 8 (05):