IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v186y2022icp299-311.html
   My bibliography  Save this article

How renewable energy alleviate energy poverty? A global analysis

Author

Listed:
  • Zhao, Jun
  • Dong, Kangyin
  • Dong, Xiucheng
  • Shahbaz, Muhammad

Abstract

The development of renewable energy industry is an important measure for countries to strengthen the construction of ecological civilization. Thus, to empirically investigate the underlying effect of renewable energy consumption on global energy poverty alleviation, we first assess the energy poverty composite index across the globe, and then explore whether the rapid development of renewable energy industry can help alleviate energy poverty. The regional heterogeneity and the mediating role of energy efficiency in the renewable energy-poverty alleviation nexus are also discussed. We conclude that: (1) Global energy poverty shows a significant trend of allevia.tion in the sample period, and rapid development of renewable energy industry can help alleviate energy poverty; (2) significant regional heterogeneity exists in the relationship between renewable energy and poverty alleviation. Only in European countries can increased renewable energy significantly reduce energy poverty; and (3) the mediating role of energy efficiency in the renewable energy-poverty alleviation nexus is significant; in other words, renewable energy not only directly alleviates global energy poverty, but also has a significant inhibiting effect on energy poverty by improving energy efficiency. Following the above three conclusions, we provide relevant policies about how to alleviate energy poverty and improve energy efficiency.

Suggested Citation

  • Zhao, Jun & Dong, Kangyin & Dong, Xiucheng & Shahbaz, Muhammad, 2022. "How renewable energy alleviate energy poverty? A global analysis," Renewable Energy, Elsevier, vol. 186(C), pages 299-311.
  • Handle: RePEc:eee:renene:v:186:y:2022:i:c:p:299-311
    DOI: 10.1016/j.renene.2022.01.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148122000052
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2022.01.005?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. Sun, Huaping & Edziah, Bless Kofi & Kporsu, Anthony Kwaku & Sarkodie, Samuel Asumadu & Taghizadeh-Hesary, Farhad, 2021. "Energy efficiency: The role of technological innovation and knowledge spillover," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    2. Cai, Zhengyu & Yu, Chin-Hsien & Zhu, Chunhui, 2021. "Government-led urbanization and natural gas demand in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    3. Zubi, Ghassan & Fracastoro, Gian Vincenzo & Lujano-Rojas, Juan M. & El Bakari, Khalil & Andrews, David, 2019. "The unlocked potential of solar home systems; an effective way to overcome domestic energy poverty in developing regions," Renewable Energy, Elsevier, vol. 132(C), pages 1425-1435.
    4. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    5. Chen, Maozhi & Sinha, Avik & Hu, Kexiang & Shah, Muhammad Ibrahim, 2021. "Impact of technological innovation on energy efficiency in industry 4.0 era: Moderation of shadow economy in sustainable development," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    6. Dong, Kangyin & Hochman, Gal & Zhang, Yaqing & Sun, Renjin & Li, Hui & Liao, Hua, 2018. "CO2 emissions, economic and population growth, and renewable energy: Empirical evidence across regions," Energy Economics, Elsevier, vol. 75(C), pages 180-192.
    7. Castaño-Rosa, Raúl & Okushima, Shinichiro, 2021. "Prevalence of energy poverty in Japan: A comprehensive analysis of energy poverty vulnerabilities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    8. Radmehr, Riza & Henneberry, Shida Rastegari & Shayanmehr, Samira, 2021. "Renewable Energy Consumption, CO2 Emissions, and Economic Growth Nexus: A Simultaneity Spatial Modeling Analysis of EU Countries," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 13-27.
    9. Wang, Qiang & Kwan, Mei-Po & Fan, Jie & Lin, Jian, 2021. "Racial disparities in energy poverty in the United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    10. Zhao, Zhen Yu & Zuo, Jian & Feng, Tian Tian & Zillante, George, 2011. "International cooperation on renewable energy development in China – A critical analysis," Renewable Energy, Elsevier, vol. 36(3), pages 1105-1110.
    11. Thomson, Harriet & Snell, Carolyn, 2013. "Quantifying the prevalence of fuel poverty across the European Union," Energy Policy, Elsevier, vol. 52(C), pages 563-572.
    12. Zhao, Jun & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin, 2020. "Would environmental regulation improve the greenhouse gas benefits of natural gas use? A Chinese case study," Energy Economics, Elsevier, vol. 87(C).
    13. Halkos, George E. & Gkampoura, Eleni-Christina, 2021. "Evaluating the effect of economic crisis on energy poverty in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    14. Sadath, Anver C. & Acharya, Rajesh H., 2017. "Assessing the extent and intensity of energy poverty using Multidimensional Energy Poverty Index: Empirical evidence from households in India," Energy Policy, Elsevier, vol. 102(C), pages 540-550.
    15. Paramati, Sudharshan Reddy & Sinha, Avik & Dogan, Eyup, 2017. "The significance of renewable energy use for economic output and environmental protection: Evidence from the next 11 developing economies," MPRA Paper 100087, University Library of Munich, Germany.
    16. Huang, Yongfu, 2010. "Political Institutions and Financial Development: An Empirical Study," World Development, Elsevier, vol. 38(12), pages 1667-1677, December.
    17. Ellabban, Omar & Abu-Rub, Haitham & Blaabjerg, Frede, 2014. "Renewable energy resources: Current status, future prospects and their enabling technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 748-764.
    18. Che, Yi & Lu, Yi & Tao, Zhigang & Wang, Peng, 2013. "The impact of income on democracy revisited," Journal of Comparative Economics, Elsevier, vol. 41(1), pages 159-169.
    19. Awaworyi Churchill, Sefa & Smyth, Russell, 2020. "Ethnic diversity, energy poverty and the mediating role of trust: Evidence from household panel data for Australia11We thank two referees for constructive comments. This article uses unit record data ," Energy Economics, Elsevier, vol. 86(C).
    20. Nguyen, Canh Phuc & Nasir, Muhammad Ali, 2021. "An inquiry into the nexus between energy poverty and income inequality in the light of global evidence," Energy Economics, Elsevier, vol. 99(C).
    21. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    22. Ibrahiem, Dalia M. & Hanafy, Shaimaa A., 2021. "Do energy security and environmental quality contribute to renewable energy? The role of trade openness and energy use in North African countries," Renewable Energy, Elsevier, vol. 179(C), pages 667-678.
    23. Jiao, Zhilun & Sharma, Rajesh & Kautish, Pradeep & Hussain, Hafezali Iqbal, 2021. "Unveiling the asymmetric impact of exports, oil prices, technological innovations, and income inequality on carbon emissions in India," Resources Policy, Elsevier, vol. 74(C).
    24. Zhang, Mingming & Zhang, Shichang & Lee, Chien-Chiang & Zhou, Dequn, 2021. "Effects of trade openness on renewable energy consumption in OECD countries: New insights from panel smooth transition regression modelling," Energy Economics, Elsevier, vol. 104(C).
    25. Aristondo, Oihana & Onaindia, Eneritz, 2018. "Counting energy poverty in Spain between 2004 and 2015," Energy Policy, Elsevier, vol. 113(C), pages 420-429.
    26. Dong, Xiao-Ying & Hao, Yu, 2018. "Would income inequality affect electricity consumption? Evidence from China," Energy, Elsevier, vol. 142(C), pages 215-227.
    27. 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).
    28. Li, Ke & Lin, Boqiang, 2018. "How to promote energy efficiency through technological progress in China?," Energy, Elsevier, vol. 143(C), pages 812-821.
    29. Zhang, Shun & Liu, Xuyi, 2019. "The roles of international tourism and renewable energy in environment: New evidence from Asian countries," Renewable Energy, Elsevier, vol. 139(C), pages 385-394.
    30. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    31. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    32. Dong, Kangyin & Jiang, Qingzhe & Shahbaz, Muhammad & Zhao, Jun, 2021. "Does low-carbon energy transition mitigate energy poverty? The case of natural gas for China," Energy Economics, Elsevier, vol. 99(C).
    33. Lee, Lung-fei, 2007. "The method of elimination and substitution in the GMM estimation of mixed regressive, spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 140(1), pages 155-189, September.
    34. Wang, Ke & Wang, Ya-Xuan & Li, Kang & Wei, Yi-Ming, 2015. "Energy poverty in China: An index based comprehensive evaluation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 308-323.
    35. Ciupăgeanu, Dana-Alexandra & Lăzăroiu, Gheorghe & Barelli, Linda, 2019. "Wind energy integration: Variability analysis and power system impact assessment," Energy, Elsevier, vol. 185(C), pages 1183-1196.
    36. Zhao, Jun & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin, 2021. "Assessing energy poverty and its effect on CO2 emissions: The case of China," Energy Economics, Elsevier, vol. 97(C).
    37. Hills, John, 2011. "Fuel poverty: the problem and its measurement," LSE Research Online Documents on Economics 39270, London School of Economics and Political Science, LSE Library.
    38. Hanif, Imran & Aziz, Babar & Chaudhry, Imran Sharif, 2019. "Carbon emissions across the spectrum of renewable and nonrenewable energy use in developing economies of Asia," Renewable Energy, Elsevier, vol. 143(C), pages 586-595.
    39. Awaworyi Churchill, Sefa & Smyth, Russell & Farrell, Lisa, 2020. "Fuel poverty and subjective wellbeing," Energy Economics, Elsevier, vol. 86(C).
    40. John Hills, 2011. "Fuel Poverty: The problem and its measurement. Interim Report of the Fuel Poverty Review," CASE Reports casereport69, Centre for Analysis of Social Exclusion, LSE.
    41. Barnes, Douglas F. & Khandker, Shahidur R. & Samad, Hussain A., 2011. "Energy poverty in rural Bangladesh," Energy Policy, Elsevier, vol. 39(2), pages 894-904, February.
    42. Okushima, Shinichiro, 2017. "Gauging energy poverty: A multidimensional approach," Energy, Elsevier, vol. 137(C), pages 1159-1166.
    43. Henry, Candise L. & Baker, Justin S. & Shaw, Brooke K. & Kondash, Andrew J. & Leiva, Benjamín & Castellanos, Edwin & Wade, Christopher M. & Lord, Benjamin & Van Houtven, George & Redmon, Jennifer Hopo, 2021. "How will renewable energy development goals affect energy poverty in Guatemala?," Energy Economics, Elsevier, vol. 104(C).
    44. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    45. Lee, Lung-fei, 2007. "GMM and 2SLS estimation of mixed regressive, spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 137(2), pages 489-514, April.
    46. Apergis, Nicholas & Payne, James E. & Menyah, Kojo & Wolde-Rufael, Yemane, 2010. "On the causal dynamics between emissions, nuclear energy, renewable energy, and economic growth," Ecological Economics, Elsevier, vol. 69(11), pages 2255-2260, September.
    Full references (including those not matched with items on IDEAS)

    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. Zhao, Jun & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin, 2021. "Assessing energy poverty and its effect on CO2 emissions: The case of China," Energy Economics, Elsevier, vol. 97(C).
    2. Dong, Kangyin & Ren, Xiaohang & Zhao, Jun, 2021. "How does low-carbon energy transition alleviate energy poverty in China? A nonparametric panel causality analysis," Energy Economics, Elsevier, vol. 103(C).
    3. Zhao, Jun & Shahbaz, Muhammad & Dong, Kangyin, 2022. "How does energy poverty eradication promote green growth in China? The role of technological innovation," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    4. Dong, Kangyin & Jiang, Qingzhe & Shahbaz, Muhammad & Zhao, Jun, 2021. "Does low-carbon energy transition mitigate energy poverty? The case of natural gas for China," Energy Economics, Elsevier, vol. 99(C).
    5. Dong, Kangyin & Dou, Yue & Jiang, Qingzhe, 2022. "Income inequality, energy poverty, and energy efficiency: Who cause who and how?," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    6. Dong, Kangyin & Taghizadeh-Hesary, Farhad & Zhao, Jun, 2022. "How inclusive financial development eradicates energy poverty in China? The role of technological innovation," Energy Economics, Elsevier, vol. 109(C).
    7. Shi, Hongxu & Xu, Hao & Gao, Wei & Zhang, Jinhao & Chang, Ming, 2022. "The impact of energy poverty on agricultural productivity: The case of China," Energy Policy, Elsevier, vol. 167(C).
    8. Recep Ulucak & Ramazan Sari & Seyfettin Erdogan & Rui Alexandre Castanho, 2021. "Bibliometric Literature Analysis of a Multi-Dimensional Sustainable Development Issue: Energy Poverty," Sustainability, MDPI, vol. 13(17), pages 1-21, August.
    9. Shahzad, Umer & Gupta, Mansi & Sharma, Gagan Deep & Rao, Amar & Chopra, Ritika, 2022. "Resolving energy poverty for social change: Research directions and agenda," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    10. Tiwari, Sunil & Si Mohammed, Kamel & Guesmi, Khaled, 2023. "A way forward to end energy poverty in China: Role of carbon-cutting targets and net-zero commitments," Energy Policy, Elsevier, vol. 180(C).
    11. Wang, Ying & Wang, Yong & Shahbaz, Muhammad, 2023. "How does digital economy affect energy poverty? Analysis from the global perspective," Energy, Elsevier, vol. 282(C).
    12. Dong, Kangyin & Shahbaz, Muhammad & Zhao, Jun, 2022. "How do pollution fees affect environmental quality in China?," Energy Policy, Elsevier, vol. 160(C).
    13. Moteng, Ghislain & Raghutla, Chandrashekar & Njangang, Henri & Nembot, Luc Ndeffo, 2023. "International sanctions and energy poverty in target developing countries," Energy Policy, Elsevier, vol. 179(C).
    14. Zhao, Jun & Shahbaz, Muhammad & Dong, Xiucheng & Dong, Kangyin, 2021. "How does financial risk affect global CO2 emissions? The role of technological innovation," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    15. Awan, Ashar & Bilgili, Faik & Rahut, Dil Bahadur, 2022. "Energy poverty trends and determinants in Pakistan: Empirical evidence from eight waves of HIES 1998–2019," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    16. Nguyen, Canh Phuc & Nasir, Muhammad Ali, 2021. "An inquiry into the nexus between energy poverty and income inequality in the light of global evidence," Energy Economics, Elsevier, vol. 99(C).
    17. Kahouli, Sondès & Okushima, Shinichiro, 2021. "Regional energy poverty reevaluated: A direct measurement approach applied to France and Japan," Energy Economics, Elsevier, vol. 102(C).
    18. Li, Jinkai & Gao, Ming & Luo, Erga & Wang, Jingyi & Zhang, Xuebiao, 2023. "Does rural energy poverty alleviation really reduce agricultural carbon emissions? The case of China," Energy Economics, Elsevier, vol. 119(C).
    19. Kangyin Dong & Yalin Han & Yue Dou & Muhammad Shahbaz, 2022. "Moving toward carbon neutrality: Assessing natural gas import security and its impact on CO2 emissions," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(4), pages 751-770, August.
    20. Fu Wang & Hong Geng & Donglan Zha & Chaoqun Zhang, 2023. "Multidimensional Energy Poverty in China: Measurement and Spatio-Temporal Disparities Characteristics," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 168(1), pages 45-78, August.

    More about this item

    Keywords

    Energy poverty; Renewable energy; Heterogeneous analysis; Mediation effect; Globe analysis;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • O44 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Environment and Growth
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

    Statistics

    Access and download statistics

    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:renene:v:186:y:2022:i:c:p:299-311. 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/renewable-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.