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
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共 71 条
  • [1] Stochastic conditional convergence in per capita energy consumption in India
    Akram, Vaseem
    Rath, Badri Narayan
    Sahoo, Pradipta Kumar
    [J]. ECONOMIC ANALYSIS AND POLICY, 2020, 65 : 224 - 240
  • [2] The potential of material productivity alongside energy productivity in climate mitigation: Evidence from convergence tests in the EU28
    Alatas, Sedat
    Karakaya, Etem
    Sari, Erkam
    [J]. RESOURCES CONSERVATION AND RECYCLING, 2021, 167
  • [3] Apergis N, 2021, ENERG ECON, DOI DOI 10.1016/J.ENECO.2021B.105430
  • [4] Energy poverty and education: Fresh evidence from a panel of developing countries
    Apergis, Nicholas
    Polemis, Michael
    Soursou, Simeoni-Eleni
    [J]. ENERGY ECONOMICS, 2022, 106
  • [5] ECONOMIC-GROWTH IN A CROSS-SECTION OF COUNTRIES
    BARRO, RJ
    [J]. QUARTERLY JOURNAL OF ECONOMICS, 1991, 106 (02) : 407 - 443
  • [6] Convergence in energy intensity of GDP: Evidence from West African countries
    Bello, Mufutau Opeyemi
    Ch'ng, Kean Siang
    [J]. ENERGY, 2022, 254
  • [7] Towards a common renewable future: The System-GMM approach to assess the convergence in renewable energy consumption of EU countries
    Berk, Istemi
    Kasman, Adnan
    Kilinc, Dilara
    [J]. ENERGY ECONOMICS, 2020, 87
  • [8] Convergence of energy productivity in Australian states and territories: Determinants and forecasts
    Bhattacharya, Mita
    Inekwe, John N.
    Sadorsky, Perry
    [J]. ENERGY ECONOMICS, 2020, 85
  • [9] Convergence of energy productivity across Indian states and territories
    Bhattacharya, Mita
    Inekwe, John Nkwoma
    Sadorsky, Perry
    Saha, Anjan
    [J]. ENERGY ECONOMICS, 2018, 74 : 427 - 440
  • [10] Convergence in renewable energy sources diffusion worldwide
    Bigerna, Simona
    Bollino, Carlo Andrea
    Polinori, Paolo
    [J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2021, 292