IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v255y2022ics0360544222014827.html
   My bibliography  Save this article

Assessment of energy poverty convergence: A global analysis

Author

Listed:
  • Salman, Muhammad
  • Zha, Donglan
  • Wang, Guimei

Abstract

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.

Suggested Citation

  • Salman, Muhammad & Zha, Donglan & Wang, Guimei, 2022. "Assessment of energy poverty convergence: A global analysis," Energy, Elsevier, vol. 255(C).
  • Handle: RePEc:eee:energy:v:255:y:2022:i:c:s0360544222014827
    DOI: 10.1016/j.energy.2022.124579
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222014827
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2022.124579?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lin, Boqiang & Zhu, Junpeng, 2021. "Impact of China's new-type urbanization on energy intensity: A city-level analysis," Energy Economics, Elsevier, vol. 99(C).
    2. Quah, Danny T, 1996. "Twin Peaks: Growth and Convergence in Models of Distribution Dynamics," Economic Journal, Royal Economic Society, vol. 106(437), pages 1045-1055, July.
    3. Mishra, Vinod & Smyth, Russell, 2017. "Conditional convergence in Australia's energy consumption at the sector level," Energy Economics, Elsevier, vol. 62(C), pages 396-403.
    4. Castellanos-Sosa, Francisco A. & Cabral, René & Mollick, André Varella, 2022. "Energy reform and energy consumption convergence in Mexico: A spatial approach," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 336-350.
    5. Robert J. Barro, 1991. "Economic Growth in a Cross Section of Countries," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(2), pages 407-443.
    6. Le Pen, Yannick & Sévi, Benoît, 2010. "On the non-convergence of energy intensities: Evidence from a pair-wise econometric approach," Ecological Economics, Elsevier, vol. 69(3), pages 641-650, January.
    7. Lei Pan & Svetlana Maslyuk-Escobedo, 2019. "Stochastic convergence in per capita energy consumption and its catch-up rate: evidence from 26 African countries," Applied Economics, Taylor & Francis Journals, vol. 51(24), pages 2566-2590, May.
    8. Horta, Isabel M. & Camanho, Ana S., 2015. "A nonparametric methodology for evaluating convergence in a multi-input multi-output setting," European Journal of Operational Research, Elsevier, vol. 246(2), pages 554-561.
    9. Che, Xiahui & Zhu, Bangzhu & Wang, Ping, 2021. "Assessing global energy poverty: An integrated approach," Energy Policy, Elsevier, vol. 149(C).
    10. Danny Quah, 1996. "Twin Peaks: Growth and Convergence in Models of Distribution Dynamics," CEP Discussion Papers dp0280, Centre for Economic Performance, LSE.
    11. Pachauri, Shonali & Spreng, Daniel, 2011. "Measuring and monitoring energy poverty," Energy Policy, Elsevier, vol. 39(12), pages 7497-7504.
    12. Akram, Vaseem & Rath, Badri Narayan & Sahoo, Pradipta Kumar, 2020. "Stochastic conditional convergence in per capita energy consumption in India," Economic Analysis and Policy, Elsevier, vol. 65(C), pages 224-240.
    13. Zhu, Junpeng & Lin, Boqiang, 2020. "Convergence analysis of city-level energy intensity in China," Energy Policy, Elsevier, vol. 139(C).
    14. Dogan, Eyup & Madaleno, Mara & Inglesi-Lotz, Roula & Taskin, Dilvin, 2022. "Race and energy poverty: Evidence from African-American households," Energy Economics, Elsevier, vol. 108(C).
    15. Kim, Young Se, 2015. "Electricity consumption and economic development: Are countries converging to a common trend?," Energy Economics, Elsevier, vol. 49(C), pages 192-202.
    16. Apergis, Nicholas & Polemis, Michael & Soursou, Simeoni-Eleni, 2022. "Energy poverty and education: Fresh evidence from a panel of developing countries," Energy Economics, Elsevier, vol. 106(C).
    17. Fallahi, Firouz, 2017. "Stochastic convergence in per capita energy use in world," Energy Economics, Elsevier, vol. 65(C), pages 228-239.
    18. Wang, Wei & Xiao, Weiwei & Bai, Caiquan, 2022. "Can renewable energy technology innovation alleviate energy poverty? Perspective from the marketization level," Technology in Society, Elsevier, vol. 68(C).
    19. Pan, Yuling & Dong, Feng, 2022. "Dynamic evolution and driving factors of new energy development: Fresh evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    20. Karmaker, Shamal Chandra & Sen, Kanchan Kumar & Singha, Bipasha & Hosan, Shahadat & Chapman, Andrew J. & Saha, Bidyut Baran, 2022. "The mediating effect of energy poverty on child development: Empirical evidence from energy poor countries," Energy, Elsevier, vol. 243(C).
    21. Ahmed Qahtan, Anwar Saeed & Xu, Helian & Abdo, AL-Barakani, 2021. "Stochastic convergence of disaggregated energy consumption per capita and its catch-up rate: An independent analysis of MENA net oil-exporting and importing countries," Energy Policy, Elsevier, vol. 150(C).
    22. Peter C. B. Phillips & Donggyu Sul, 2007. "Transition Modeling and Econometric Convergence Tests," Econometrica, Econometric Society, vol. 75(6), pages 1771-1855, November.
    23. Le, Thai-Ha & Chang, Youngho & Park, Donghyun, 2017. "Energy demand convergence in APEC: An empirical analysis," Energy Economics, Elsevier, vol. 65(C), pages 32-41.
    24. Berk, Istemi & Kasman, Adnan & Kılınç, Dilara, 2020. "Towards a common renewable future: The System-GMM approach to assess the convergence in renewable energy consumption of EU countries," Energy Economics, Elsevier, vol. 87(C).
    25. Ngarava, Saul & Zhou, Leocadia & Ningi, Thulani & Chari, Martin M. & Mdiya, Lwandiso, 2022. "Gender and ethnic disparities in energy poverty: The case of South Africa," Energy Policy, Elsevier, vol. 161(C).
    26. Villalobos, Carlos & Chávez, Carlos & Uribe, Adolfo, 2021. "Energy poverty measures and the identification of the energy poor: A comparison between the utilitarian and capability-based approaches in Chile," Energy Policy, Elsevier, vol. 152(C).
    27. Payne, James E. & Vizek, Maruška & Lee, Junsoo, 2017. "Is there convergence in per capita renewable energy consumption across U.S. States? Evidence from LM and RALS-LM unit root tests with breaks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 715-728.
    28. Kounetas, Konstantinos Elias, 2018. "Energy consumption and CO2 emissions convergence in European Union member countries. A tonneau des Danaides?," Energy Economics, Elsevier, vol. 69(C), pages 111-127.
    29. Joachim Schnurbus & Harry Haupt & Verena Meier, 2017. "Economic Transition and Growth: A Replication," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(5), pages 1039-1042, August.
    30. Ivanovski, Kris & Awaworyi Churchill, Sefa & Smyth, Russell, 2018. "A club convergence analysis of per capita energy consumption across Australian regions and sectors," Energy Economics, Elsevier, vol. 76(C), pages 519-531.
    31. Iddrisu, Insah & Bhattacharyya, Subhes C., 2015. "Sustainable Energy Development Index: A multi-dimensional indicator for measuring sustainable energy development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 513-530.
    32. Szabó, S. & Bódis, K. & Huld, T. & Moner-Girona, M., 2013. "Sustainable energy planning: Leapfrogging the energy poverty gap in Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 500-509.
    33. Mendoza, Celedonio B. & Cayonte, Dwane Darcy D. & Leabres, Michael S. & Manaligod, Lana Rose A., 2019. "Understanding multidimensional energy poverty in the Philippines," Energy Policy, Elsevier, vol. 133(C).
    34. repec:dau:papers:123456789/6801 is not listed on IDEAS
    35. Lee, Kevin & Pesaran, M Hashem & Smith, Ron, 1997. "Growth and Convergence in Multi-country Empirical Stochastic Solow Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(4), pages 357-392, July-Aug..
    36. Nguyen, Canh Phuc & Su, Thanh Dinh, 2022. "The influences of government spending on energy poverty: Evidence from developing countries," Energy, Elsevier, vol. 238(PA).
    37. Bhattacharya, Mita & Inekwe, John Nkwoma & Sadorsky, Perry & Saha, Anjan, 2018. "Convergence of energy productivity across Indian states and territories," Energy Economics, Elsevier, vol. 74(C), pages 427-440.
    38. Romero-Ávila, Diego & Omay, Tolga, 2022. "Convergence of per capita energy consumption around the world: New evidence from nonlinear panel unit root tests," Energy Economics, Elsevier, vol. 111(C).
    39. Liu, Tie-Ying & Lee, Chien-Chiang, 2020. "Convergence of the world’s energy use," Resource and Energy Economics, Elsevier, vol. 62(C).
    40. He, Weijun & Chen, Hao, 2022. "Will China's provincial per capita energy consumption converge to a common level over 1990–2017? Evidence from a club convergence approach," Energy, Elsevier, vol. 249(C).
    41. Quah, Danny, 1996. "Twin peaks : growth and convergence in models of distribution dynamics," LSE Research Online Documents on Economics 2278, London School of Economics and Political Science, LSE Library.
    42. Alexandru Maxim & Costică Mihai & Constantin-Marius Apostoaie & Cristian Popescu & Costel Istrate & Ionel Bostan, 2016. "Implications and Measurement of Energy Poverty across the European Union," Sustainability, MDPI, vol. 8(5), pages 1-20, May.
    43. Bello, Mufutau Opeyemi & Ch'ng, Kean Siang, 2022. "Convergence in energy intensity of GDP: Evidence from West African countries," Energy, Elsevier, vol. 254(PA).
    44. Bhattacharya, Mita & Inekwe, John N. & Sadorsky, Perry, 2020. "Convergence of energy productivity in Australian states and territories: Determinants and forecasts," Energy Economics, Elsevier, vol. 85(C).
    45. Meng, Ming & Payne, James E. & Lee, Junsoo, 2013. "Convergence in per capita energy use among OECD countries," Energy Economics, Elsevier, vol. 36(C), pages 536-545.
    46. Cassetta, Ernesto & Nava, Consuelo R. & Zoia, Maria Grazia, 2022. "A three-step procedure to investigate the convergence of electricity and natural gas prices in the European Union," Energy Economics, Elsevier, vol. 105(C).
    47. Markandya, Anil & Pedroso-Galinato, Suzette & Streimikiene, Dalia, 2006. "Energy intensity in transition economies: Is there convergence towards the EU average?," Energy Economics, Elsevier, vol. 28(1), pages 121-145, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Ying & Wang, Yong & Shahbaz, Muhammad, 2023. "How does digital economy affect energy poverty? Analysis from the global perspective," Energy, Elsevier, vol. 282(C).
    2. Zhao, Weiping & Sun, Xiaomei & Jiang, Dayang, 2023. "Role of financial inclusion and green resources for alleviating energy poverty in the Republic of Korea," Resources Policy, Elsevier, vol. 82(C).
    3. Arkadiusz Piwowar, 2022. "Energy Poverty as a Current Problem in the Light of Economic and Social Challenges," Energies, MDPI, vol. 15(22), pages 1-9, November.
    4. Cheng, Hua & Taghizadeh-Hesary, Farhad, 2023. "How green finance can bridge the energy poverty gap: Policies to mitigate socioeconomic and environmental consequences," Energy Policy, Elsevier, vol. 182(C).
    5. Yevheniia Ziabina & Aleksy Kwilinski & Oleksii Lyulyov & Tetyana Pimonenko & Yana Us, 2023. "Convergence of Energy Policies between the EU and Ukraine under the Green Deal Policy," Energies, MDPI, vol. 16(2), pages 1-19, January.
    6. Okere, Kingsley Ikechukwu & Dimnwobi, Stephen Kelechi & Ekesiobi, Chukwunonso & Onuoha, Favour Chidinma, 2023. "Turning the tide on energy poverty in sub-Saharan Africa: Does public debt matter?," Energy, Elsevier, vol. 282(C).
    7. Bienvenido-Huertas, David & Sánchez-García, Daniel & Rubio-Bellido, Carlos & Marín-García, David, 2024. "Holistic analysis to reduce energy poverty in social dwellings in southern Spain considering envelope, systems, operational pattern, and income levels," Energy, Elsevier, vol. 288(C).
    8. Kocak, Emrah & Ulug, Eyup Emre & Oralhan, Burcu, 2023. "The impact of electricity from renewable and non-renewable sources on energy poverty and greenhouse gas emissions (GHGs): Empirical evidence and policy implications," Energy, Elsevier, vol. 272(C).
    9. Zou, Ran & Yang, Jun & Feng, Chao, 2023. "Does informatization alleviate energy poverty? A global perspective," Energy Economics, Elsevier, vol. 126(C).
    10. Grzegorz Mentel & Anna Lewandowska & Justyna Berniak-Woźny & Waldemar Tarczyński, 2023. "Green and Renewable Energy Innovations: A Comprehensive Bibliometric Analysis," Energies, MDPI, vol. 16(3), pages 1-21, February.
    11. Taştan, Hüseyin & Yıldız, Hakan, 2023. "Club convergence analysis of city-level electricity consumption in Turkey," Energy, Elsevier, vol. 265(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Romero-Ávila, Diego & Omay, Tolga, 2022. "Convergence of per capita energy consumption around the world: New evidence from nonlinear panel unit root tests," Energy Economics, Elsevier, vol. 111(C).
    2. Ivanovski, Kris & Awaworyi Churchill, Sefa & Smyth, Russell, 2018. "A club convergence analysis of per capita energy consumption across Australian regions and sectors," Energy Economics, Elsevier, vol. 76(C), pages 519-531.
    3. Peng, Hua-Rong & Tan, Xiujie & Managi, Shunsuke & Taghizadeh-Hesary, Farhad, 2022. "Club convergence in energy efficiency of Belt and Road Initiative countries: The role of China’s outward foreign direct investment," Energy Policy, Elsevier, vol. 168(C).
    4. Akram, Vaseem & Rath, Badri Narayan & Sahoo, Pradipta Kumar, 2020. "Stochastic conditional convergence in per capita energy consumption in India," Economic Analysis and Policy, Elsevier, vol. 65(C), pages 224-240.
    5. Bello, Mufutau Opeyemi & Ch'ng, Kean Siang, 2022. "Convergence in energy intensity of GDP: Evidence from West African countries," Energy, Elsevier, vol. 254(PA).
    6. Wu, Jianxin & Wu, Yanrui & Se Cheong, Tsun & Yu, Yanni, 2018. "Distribution dynamics of energy intensity in Chinese cities," Applied Energy, Elsevier, vol. 211(C), pages 875-889.
    7. Liu, Tie-Ying & Lee, Chien-Chiang, 2020. "Convergence of the world’s energy use," Resource and Energy Economics, Elsevier, vol. 62(C).
    8. Bangjun, Wang & Linyu, Cui & Feng, Ji & Yue, Wang, 2023. "Research on club convergence effect and its influencing factors of per capita energy consumption: Evidence from the data of 243 prefecture-level cities in China," Energy, Elsevier, vol. 263(PB).
    9. Song, Yang & Liu, Dayu & Wang, Qiaoru, 2021. "Identifying characteristic changes in club convergence of China's urban pollution emission: A spatial-temporal feature analysis," Energy Economics, Elsevier, vol. 98(C).
    10. Taştan, Hüseyin & Yıldız, Hakan, 2023. "Club convergence analysis of city-level electricity consumption in Turkey," Energy, Elsevier, vol. 265(C).
    11. Bhattacharya, Mita & Inekwe, John N. & Sadorsky, Perry, 2020. "Convergence of energy productivity in Australian states and territories: Determinants and forecasts," Energy Economics, Elsevier, vol. 85(C).
    12. Dayong Zhang and David C. Broadstock, 2016. "Club Convergence in the Energy Intensity of China," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    13. Vo, Duc Hong & Vo, Long Hai & Ho, Chi Minh, 2022. "Regional convergence of nonrenewable energy consumption in Vietnam," Energy Policy, Elsevier, vol. 169(C).
    14. Pinar, Mehmet, 2024. "Convergence in renewable energy innovation and factors influencing convergence club formation," Renewable Energy, Elsevier, vol. 220(C).
    15. Rath, Badri Narayan & Akram, Vaseem, 2019. "A reassessment of total factor productivity convergence: Evidence from cross-country analysis," Economic Modelling, Elsevier, vol. 82(C), pages 87-98.
    16. Nazlioglu, Saban & Kassouri, Yacouba & Kucukkaplan, Ilhan & Soytas, Ugur, 2022. "Convergence of oil consumption: A historical perspective with new concepts," Energy Policy, Elsevier, vol. 168(C).
    17. Marrero, Ángel S. & Marrero, Gustavo A. & González, Rosa Marina & Rodríguez-López, Jesús, 2021. "Convergence in road transport CO2 emissions in Europe," Energy Economics, Elsevier, vol. 99(C).
    18. Simionescu, Mihaela, 2022. "Stochastic convergence in per capita energy use in the EU-15 countries. The role of economic growth," Applied Energy, Elsevier, vol. 322(C).
    19. Delgado, Francisco J. & Freire-González, Jaume & Presno, Maria J., 2022. "Environmental taxation in the European Union: Are there common trends?," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 670-682.
    20. Awaworyi Churchill, Sefa & Inekwe, John & Ivanovski, Kris, 2020. "Stochastic convergence in per capita CO2 emissions: Evidence from emerging economies, 1921–2014," Energy Economics, Elsevier, vol. 86(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:255:y:2022:i:c:s0360544222014827. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.