Evaluating multidimensional energy poverty of South Asian countries: An in-depth analysis using household surveys

Mansoor Ahmed

Article ID: 3154
Vol 3, Issue 1, 2025
DOI: https://doi.org/10.54517/ssd3154
Received: 12 December 2024; Accepted: 16 February 2025; Available online: 27 February 2025; Issue release: 28 February 2025


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Abstract

This study examines the multidimensional energy poverty index (MEPI), headcount ratio, and intensity in six South Asian countries. Using two datasets (India, 2005 and 2015), (Bangladesh, 2011 and 2017), (Afghanistan, 2010 and 2015), (Pakistan, 2012 and 2017), (Nepal, 2011 and 2016), and (the Maldives, 2009 and 2016), this study employs an adjusted MEPI to compare each country’s effort in multidimensional energy poverty reduction (2005 to 2017). The empirical results indicate that India, Bangladesh, Pakistan, Nepal, and the Maldives significantly reduced MEPI, headcount ratio, and intensity compared to past years. However, in the case of Afghanistan, MEPI and the headcount ratio increased. The empirical results further indicate that although there has been a significant reduction in MEPI, the deprivation of modern cooking fuel and access to electricity remains high in India, Bangladesh, Pakistan, and Nepal. The study invites attention towards clean energy sources and proposes that if these countries provide modern energy fuel to households, a significant reduction is possible in the MEPI score. In our study, the results obtained with modern cooking fuel significantly dropped MEPI, headcount ratio, and intensity. These findings explain the necessary attention toward multidimensional energy poverty reduction strategies in South Asia and other developing countries.

Keywords

multidimensional energy poverty; multidimensional energy poverty reduction; multidimensional energy poverty index; South Asia; policy implications


References

Jaber MM. Multidimensional energy poverty in Jordan between 2009 and 2018: Progress and possible policy interventions. Regional Statistics. 2023; 13(3): 434-450. doi: 10.15196/rs130303 White H. Global poverty reduction: are we heading in the right direction? J Int Dev J Dev Stud Assoc. 1999; 11: 503-19. doi: 10.1002/(SICI)1099-1328(199906)11:4<503::AID-JID608>3.0.CO;2-O Nussbaumer P, Bazilian M, Modi V. Measuring energy poverty: Focusing on what matters. Renewable and Sustainable Energy Reviews. 2012; 16(1): 231-243. doi: 10.1016/j.rser.2011.07.150 Mendoza CB, Cayonte DDD, Leabres MS, et al. Understanding multidimensional energy poverty in the Philippines. Energy Policy. 2019; 133: 110886. doi: 10.1016/j.enpol.2019.110886 Abbas K, Butt KM, Xu D, et al. Measurements and determinants of extreme multidimensional energy poverty using machine learning. Energy. 2022; 251: 123977. doi: 10.1016/j.energy.2022.123977 The International Trade Administration. Energy Resource Guide - Pakistan - Renewable Energy 2020. Available online: https://www.trade.gov/energy-resource-guide-pakistan-renewable-energy#:~:text=According to National Electric Power Regulatory Authority’s %28NEPRA%29,%28wind%2C solar and bagasse%29 and 4%25 from nuclear (accessed on 10 November 2024). Zhang Z, Shu H, Yi H, et al. Household multidimensional energy poverty and its impacts on physical and mental health. Energy Policy. 2021; 156: 112381. doi: 10.1016/j.enpol.2021.112381 Utami CN, Hartono D. A multidimensional energy poverty in Indonesia and its impact on health. Int Energy J. 2022; 22: 147-56. Sadath AC, Acharya RH. Assessing the extent and intensity of energy poverty using Multidimensional Energy Poverty Index: Empirical evidence from households in India. Energy Policy. 2017; 102: 540-550. doi: 10.1016/j.enpol.2016.12.056 Ahmed M, Zhang X, Shen Y, et al. A deep transfer learning based convolution neural network framework for air temperature classification using human clothing images. Scientific Reports. 2024; 14(1). doi: 10.1038/s41598-024-80657-y Jaber MM, Szép T. Subjective indicators of fuel poverty in Zarqa Governorate, Jordan. Energy Efficiency. 2024; 17(3). doi: 10.1007/s12053-024-10197-x Jaber MM, Szép T. The Role of Energy in Human Well-being: A Case from Jordan. Green Management: A New Paradigm in the World of Business. 2024; 137-156. doi: 10.1108/978-1-83797-442-920241009 Agba DZ, Adewara SO, Adama JI, et al. Analysis of the Effects of Climate Change on Crop Output in Nigeria. American Journal of Climate Change. 2017; 06(03): 554-571. doi: 10.4236/ajcc.2017.63028 World Bank. Who is poor in Pakistan today? Raising the basic standard of well-being in a changing society. World Bank; 2016. WHO. Household air pollution and health, 2018. Available online: https://www.who.int/news-room/fact-sheets/detail/household-air-pollution-and-health (accessed on 10 November 2024). Day R, Walker G, Simcock N. Conceptualising energy use and energy poverty using a capabilities framework. Energy Policy. 2016; 93: 255-264. doi: 10.1016/j.enpol.2016.03.019 Crentsil AO, Asuman D, Fenny AP. Assessing the determinants and drivers of multidimensional energy poverty in Ghana. Energy Policy. 2019; 133: 110884. doi: 10.1016/j.enpol.2019.110884 Sule IK, Yusuf AM, Salihu MK. Impact of energy poverty on education inequality and infant mortality in some selected African countries. Energy Nexus. 2022; 5: 100034. doi: 10.1016/j.nexus.2021.100034 Hosan S, Rahman MM, Karmaker SC, et al. Remittances and multidimensional energy poverty: Evidence from a household survey in Bangladesh. Energy. 2023; 262: 125326. doi: 10.1016/j.energy.2022.125326 Chen H, Gao K, Tian S, et al. Nexus between energy poverty and sustainable energy technologies: A roadmap towards environmental sustainability. Sustainable Energy Technologies and Assessments. 2023; 56: 102949. doi: 10.1016/j.seta.2022.102949 Khan Z, Haouas I, Trinh HH, et al. Financial inclusion and energy poverty nexus in the era of globalization: Role of composite risk index and energy investment in emerging economies. Renewable Energy. 2023; 204: 382-399. doi: 10.1016/j.renene.2022.12.122 Sovacool BK. The political economy of energy poverty: A review of key challenges. Energy for Sustainable Development. 2012; 16(3): 272-282. doi: 10.1016/j.esd.2012.05.006 Ahmed M, Shuai C, Abbas K, et al. Investigating health impacts of household air pollution on woman’s pregnancy and sterilization: Empirical evidence from Pakistan, India, and Bangladesh. Energy. 2022; 247: 123562. doi: 10.1016/j.energy.2022.123562 Ahmed M, Shuai C, Ahmed M. Influencing factors of carbon emissions and their trends in China and India: a machine learning method. Environmental Science and Pollution Research. 2022; 29(32): 48424-48437. doi: 10.1007/s11356-022-18711-3 Amin A, Liu Y, Yu J, et al. How does energy poverty affect economic development? A panel data analysis of South Asian countries. Environmental Science and Pollution Research. 2020; 27(25): 31623-31635. doi: 10.1007/s11356-020-09173-6 Ekholm T, Krey V, Pachauri S, et al. Determinants of household energy consumption in India. Energy Policy. 2010; 38(10): 5696-5707. doi: 10.1016/j.enpol.2010.05.017 Liddell C, Guiney C. Living in a cold and damp home: frameworks for understanding impacts on mental well-being. Public Health. 2015; 129(3): 191-199. doi: 10.1016/j.puhe.2014.11.007 Grey CNB, Jiang S, Nascimento C, et al. The short-term health and psychosocial impacts of domestic energy efficiency investments in low-income areas: a controlled before and after study. BMC Public Health. 2017; 17(1). doi: 10.1186/s12889-017-4075-4 Abbas K, Zou S, Xu D, et al. Forecasting synergistic pathways between rare earth elements, renewable energy, and product and economic complexities in achieving a low-carbon future. Journal of Environmental Management. 2024; 365: 121578. doi: 10.1016/j.jenvman.2024.121578 Administration IT. Energy Resource Guide - Pakistan - Renewable Energy 2021. Available online: https://www.trade.gov/energy-resource-guide-pakistan-renewable-energy#:~:text=According to National Electric Power Regulatory Authority’s %28NEPRA%29,%28wind%2C solar and bagasse%29 and 4%25 from nuclear (accessed on 10 November 2024). Urpelainen J. Energy poverty and perceptions of solar power in marginalized communities: Survey evidence from Uttar Pradesh, India. Renew Energy. 2016; 85:534–539. doi: 10.1016/j.renene.2015.07.001 Islar M, Brogaard S, Lemberg-Pedersen M. Feasibility of energy justice: Exploring national and local efforts for energy development in Nepal. Energy Policy. 2017; 105: 668-676. doi: 10.1016/j.enpol.2017.03.004 Abbas K, Xie X, Xu D, et al. Assessing an empirical relationship between energy poverty and domestic health issues: A multidimensional approach. Energy. 2021; 221: 119774. doi: 10.1016/j.energy.2021.119774 Jahangiri M, Haghani A, Mostafaeipour A, et al. Assessment of solar-wind power plants in Afghanistan: A review. Renewable and Sustainable Energy Reviews. 2019; 99: 169-190. doi: 10.1016/j.rser.2018.10.003 Wu B, Liu S, Wang J, et al. Assessing the mechanism of energy efficiency and energy poverty alleviation based on environmental regulation policy measures. Environmental Science and Pollution Research. 2021; 28(30): 40858-40870. doi: 10.1007/s11356-021-13605-2 Abbas K, Xu D, Li S, et al. Health implications of household multidimensional energy poverty for women: A structural equation modeling technique. Energy and Buildings. 2021; 234: 110661. doi: 10.1016/j.enbuild.2020.110661 Dekanozishvili M. Dynamics of EU Renewable Energy Policy Integration. Springer International Publishing; 2023. Govindan K. Pathways to low carbon energy transition through multi criteria assessment of offshore wind energy barriers. Technological Forecasting and Social Change. 2023; 187: 122131. doi: 10.1016/j.techfore.2022.122131 Li S, Samour A, Irfan M, et al. Role of renewable energy and fiscal policy on trade adjusted carbon emissions: Evaluating the role of environmental policy stringency. Renewable Energy. 2023; 205: 156-165. doi: 10.1016/j.renene.2023.01.047 Mishra P, Behera B. Socio-economic and environmental implications of solar electrification: Experience of rural Odisha. Renewable and Sustainable Energy Reviews. 2016; 56: 953-964. doi: 10.1016/j.rser.2015.11.075 Dartanto T, Nurkholis. The determinants of poverty dynamics in Indonesia: evidence from panel data. Bulletin of Indonesian Economic Studies. 2013; 49(1): 61-84. doi: 10.1080/00074918.2013.772939 Khandker SR, Samad HA, Ali R, et al. Who Benefits Most from Rural Electrification? Evidence in India. The Energy Journal. 2014; 35(2): 75-96. doi: 10.5547/01956574.35.2.4 Adusah-Poku F, Takeuchi K. Energy poverty in Ghana: Any progress so far? Renewable and Sustainable Energy Reviews. 2019; 112: 853-864. doi: 10.1016/j.rser.2019.06.038 Andadari RK, Mulder P, Rietveld P. Energy poverty reduction by fuel switching. Impact evaluation of the LPG conversion program in Indonesia. Energy Policy. 2014; 66: 436-449. doi: 10.1016/j.enpol.2013.11.021 Wirawan H, Gultom YML. The effects of renewable energy-based village grid electrification on poverty reduction in remote areas: The case of Indonesia. Energy for Sustainable Development. 2021; 62: 186-194. doi: 10.1016/j.esd.2021.04.006 Park MY, Shin S, Kim ES. Effective energy management by combining gas turbine cycles and forward osmosis desalination process. Applied Energy. 2015; 154: 51-61. doi: 10.1016/j.apenergy.2015.04.119 Nadimi R, Tokimatsu K, Yoshikawa K. Sustainable energy policy options in the presence of quality of life, poverty, and CO 2 emission. Energy Procedia. 2017; 142: 2959-2964. doi: 10.1016/j.egypro.2017.12.314 Nadimi R, Tokimatsu K. Energy use analysis in the presence of quality of life, poverty, health, and carbon dioxide emissions. Energy. 2018; 153: 671-684. doi: 10.1016/j.energy.2018.03.150 Nazif-Muñoz JI, Spengler JD, Arku RE, et al. Solid fuel use and early child development disparities in Ghana: analyses by gender and urbanicity. Journal of Exposure Science & Environmental Epidemiology. 2020; 30(4): 698-706. doi: 10.1038/s41370-020-0224-4 Acharya RH, Sadath AC. Energy poverty and economic development: Household-level evidence from India. Energy and Buildings. 2019; 183: 785-791. doi: 10.1016/j.enbuild.2018.11.047 Hartono D, Hastuti SH, Balya AA, et al. Modern energy consumption in Indonesia: Assessment for accessibility and affordability. Energy for Sustainable Development. 2020; 57: 57-68. doi: 10.1016/j.esd.2020.05.002 Pallegedara A, Mottaleb KA, Rahut DB. Exploring choice and expenditure on energy for domestic works by the Sri Lankan households: Implications for policy. Energy. 2021; 222: 119899. doi: 10.1016/j.energy.2021.119899 Mahmood R, Shah A. Deprivation Counts: An Assessment of Energy Poverty in Pakistan. THE LAHORE JOURNAL OF ECONOMICS. 2017; 22(1): 109-132. doi: 10.35536/lje.2017.v22.i1.a6 Alkire S, Foster J. Understandings and misunderstandings of multidimensional poverty measurement. The Journal of Economic Inequality. 2011; 9(2): 289-314. doi: 10.1007/s10888-011-9181-4 Alkire S, Apablaza M. Multidimensional poverty in Europe 2006-2012: Illustrating a methodology. Oxford Poverty Hum Dev Initiat Work Pap; 2016. OECD. India 2020 Energy Policy Review 2020. Available online: https://www.oecd.org/india/india-2020-9faa9816-en.htm (accessed on 10 November 2024). GC DB, Cheng S, Bhandari J, et al. Multidimensional poverty in Bajhang district of Nepal. Pakistan J Agric Sci. 2015; 52.

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