IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v158y2021ics0301421521004493.html
   My bibliography  Save this article

Multidimensional energy poverty in Bangladesh and its effect on health and education: A multilevel analysis based on household survey data

Author

Listed:
  • Omar, Md Abdullah
  • Hasanujzaman, Muhammad

Abstract

This study aims to identify the incidence and intensity of multidimensional energy poverty and its relationship with the health and education status of households in Bangladesh based on the latest three available household income and expenditure survey (HIES) waves of 2005, 2010, and 2016. In doing so, we first calculate the multidimensional energy poverty index (MEPI) for the context of Bangladesh, and the findings suggest that multidimensional energy poverty has been decreasing over the years––53.79%, 43.51%, and 36.33% during 2005, 2010, and 2016, respectively. Furthermore, the empirical results provide robust evidence that multidimensional energy poverty is negatively associated with the health and education status of households. Finally, this study calls for comprehensive policy response congenial with reliable energy accessibility, irrespective of location, and increased affordability of energy for all groups of users.

Suggested Citation

  • Omar, Md Abdullah & Hasanujzaman, Muhammad, 2021. "Multidimensional energy poverty in Bangladesh and its effect on health and education: A multilevel analysis based on household survey data," Energy Policy, Elsevier, vol. 158(C).
    • Handle: RePEc:eee:enepol:v:158:y:2021:i:c:s0301421521004493
    DOI: 10.1016/j.enpol.2021.112579
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421521004493
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.enpol.2021.112579?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. Arthur Lewbel, 2012. "Using Heteroscedasticity to Identify and Estimate Mismeasured and Endogenous Regressor Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 67-80.
    2. Sabina Alkire, Maria Emma Santos, 2010. "Acute Multidimensional Poverty: A New Index for Developing Countries," OPHI Working Papers 38, Queen Elizabeth House, University of Oxford.
    3. Korkeakoski Mika & Mentula Minna & Vähäkari Noora & Luukkanen Jyrki & Kaivo-oja Jari & Alexeeva Anna & Chea Eliyan & Va Dany & Kallio Maarit & Hogarth Nicholas, 2021. "Situation analysis of energy use and consumption in Cambodia: household access to energy," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 18631-18655, December.
    4. Shahidur R. Khandker, Hussain A. Samad, Rubaba Ali, and Douglas F. Barnes, 2014. "Who Benefits Most from Rural Electrification? Evidence in India," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    5. 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).
    6. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7), pages 476-487.
    7. Hosier, Richard H. & Dowd, Jeffrey, 1987. "Household fuel choice in Zimbabwe : An empirical test of the energy ladder hypothesis," Resources and Energy, Elsevier, vol. 9(4), pages 347-361, December.
    8. Sabina Alkire, James Foster, 2009. "Counting and Multidimensional Poverty Measurement (Short Version)," OPHI Working Papers 7_5, Queen Elizabeth House, University of Oxford.
    9. Samuelson Appau & Sefa Awaworyi Churchill & Lisa Farrell, 2019. "Social integration and subjective wellbeing," Applied Economics, Taylor & Francis Journals, vol. 51(16), pages 1748-1761, April.
    10. Andrews,Donald W. K. & Stock,James H. (ed.), 2005. "Identification and Inference for Econometric Models," Cambridge Books, Cambridge University Press, number 9780521844413.
    11. Crentsil, Aba Obrumah & Asuman, Derek & Fenny, Ama Pokuaa, 2019. "Assessing the determinants and drivers of multidimensional energy poverty in Ghana," Energy Policy, Elsevier, vol. 133(C).
    12. Sabina Alkire, James E. Foster, 2009. "Counting and Multidimensional Poverty Measurement (Revised and Updated)," OPHI Working Papers 32, Queen Elizabeth House, University of Oxford.
    13. Khanna, Rupali A. & Li, Yanfei & Mhaisalkar, Subodh & Kumar, Mahesh & Liang, Lim Jia, 2019. "Comprehensive energy poverty index: Measuring energy poverty and identifying micro-level solutions in South and Southeast Asia," Energy Policy, Elsevier, vol. 132(C), pages 379-391.
    14. Hasan, Syed Abul & Mozumder, Pallab, 2017. "Income and energy use in Bangladesh: A household level analysis," Energy Economics, Elsevier, vol. 65(C), pages 115-126.
    15. Unknown, 2016. "Energy for Sustainable Development," Conference Proceedings 253270, Guru Arjan Dev Institute of Development Studies (IDSAsr).
    16. Day, Rosie & Walker, Gordon & Simcock, Neil, 2016. "Conceptualising energy use and energy poverty using a capabilities framework," Energy Policy, Elsevier, vol. 93(C), pages 255-264.
    17. Kowsari, Reza & Zerriffi, Hisham, 2011. "Three dimensional energy profile:," Energy Policy, Elsevier, vol. 39(12), pages 7505-7517.
    18. Khandker, Shahidur R. & Barnes, Douglas F. & Samad, Hussain A., 2012. "Are the energy poor also income poor? Evidence from India," Energy Policy, Elsevier, vol. 47(C), pages 1-12.
    19. Christopher F Baum & Arthur Lewbel & Mark E Schaffer & Oleksander Talavera, 2012. "Instrumental variables estimation using heteroskedasticity-based instruments," United Kingdom Stata Users' Group Meetings 2012 07, Stata Users Group.
    20. Pachauri, Shonali & Spreng, Daniel, 2011. "Measuring and monitoring energy poverty," Energy Policy, Elsevier, vol. 39(12), pages 7497-7504.
    21. Li, Kang & Lloyd, Bob & Liang, Xiao-Jie & Wei, Yi-Ming, 2014. "Energy poor or fuel poor: What are the differences?," Energy Policy, Elsevier, vol. 68(C), pages 476-481.
    22. Oum, Sothea, 2019. "Energy poverty in the Lao PDR and its impacts on education and health," Energy Policy, Elsevier, vol. 132(C), pages 247-253.
    23. Rahut, Dil Bahadur & Das, Sukanya & De Groote, Hugo & Behera, Bhagirath, 2014. "Determinants of household energy use in Bhutan," Energy, Elsevier, vol. 69(C), pages 661-672.
    24. Abbas, Khizar & Li, Shixiang & Xu, Deyi & Baz, Khan & Rakhmetova, Aigerim, 2020. "Do socioeconomic factors determine household multidimensional energy poverty? Empirical evidence from South Asia," Energy Policy, Elsevier, vol. 146(C).
    25. Moore, Richard, 2012. "Definitions of fuel poverty: Implications for policy," Energy Policy, Elsevier, vol. 49(C), pages 19-26.
    26. Masera, Omar R. & Saatkamp, Barbara D. & Kammen, Daniel M., 2000. "From Linear Fuel Switching to Multiple Cooking Strategies: A Critique and Alternative to the Energy Ladder Model," World Development, Elsevier, vol. 28(12), pages 2083-2103, December.
    27. Awaworyi Churchill, Sefa & Smyth, Russell, 2017. "Ethnic Diversity and Poverty," World Development, Elsevier, vol. 95(C), pages 285-302.
    28. Papada, Lefkothea & Kaliampakos, Dimitris, 2016. "Measuring energy poverty in Greece," Energy Policy, Elsevier, vol. 94(C), pages 157-165.
    29. Zhang, Quanda & Appau, Samuelson & Kodom, Peter Lord, 2021. "Energy poverty, children's wellbeing and the mediating role of academic performance: Evidence from China," Energy Economics, Elsevier, vol. 97(C).
    30. Zhang, Dayong & Li, Jiajia & Han, Phoumin, 2019. "A multidimensional measure of energy poverty in China and its impacts on health: An empirical study based on the China family panel studies," Energy Policy, Elsevier, vol. 131(C), pages 72-81.
    31. Gunningham, Neil, 2013. "Managing the energy trilemma: The case of Indonesia," Energy Policy, Elsevier, vol. 54(C), pages 184-193.
    32. 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.
    33. Papada, Lefkothea & Kaliampakos, Dimitris, 2018. "A Stochastic Model for energy poverty analysis," Energy Policy, Elsevier, vol. 116(C), pages 153-164.
    34. Heltberg, Rasmus, 2004. "Fuel switching: evidence from eight developing countries," Energy Economics, Elsevier, vol. 26(5), pages 869-887, September.
    35. Sambodo, Maxensius Tri & Novandra, Rio, 2019. "The state of energy poverty in Indonesia and its impact on welfare," Energy Policy, Elsevier, vol. 132(C), pages 113-121.
    36. 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.
    37. Leach, Gerald, 1992. "The energy transition," Energy Policy, Elsevier, vol. 20(2), pages 116-123, February.
    38. Awaworyi Churchill, Sefa & Smyth, Russell, 2021. "Energy poverty and health: Panel data evidence from Australia," Energy Economics, Elsevier, vol. 97(C).
    39. Phoumin, Han & Kimura, Fukunari, 2019. "Cambodia's energy poverty and its effects on social wellbeing: Empirical evidence and policy implications," Energy Policy, Elsevier, vol. 132(C), pages 283-289.
    40. Malla, Sunil, 2013. "Household energy consumption patterns and its environmental implications: Assessment of energy access and poverty in Nepal," Energy Policy, Elsevier, vol. 61(C), pages 990-1002.
    41. 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).
    42. Nguyen, Trung Thanh & Nguyen, Thanh-Tung & Hoang, Viet-Ngu & Wilson, Clevo, 2019. "Energy transition, poverty and inequality: panel evidence from Vietnam," MPRA Paper 107182, University Library of Munich, Germany, revised 10 May 2019.
    43. Pachauri, S. & Mueller, A. & Kemmler, A. & Spreng, D., 2004. "On Measuring Energy Poverty in Indian Households," World Development, Elsevier, vol. 32(12), pages 2083-2104, December.
    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. Abbas, Khizar & Butt, Khalid Manzoor & Xu, Deyi & Ali, Muhammad & Baz, Khan & Kharl, Sanwal Hussain & Ahmed, Mansoor, 2022. "Measurements and determinants of extreme multidimensional energy poverty using machine learning," Energy, Elsevier, vol. 251(C).
    2. Okorie, David Iheke & Lin, Boqiang, 2022. "Association of energy poverty and catastrophic health expenditure," Energy, Elsevier, vol. 253(C).
    3. Dalia Streimikiene & Grigorios L. Kyriakopoulos, 2023. "Energy Poverty and Low Carbon Energy Transition," Energies, MDPI, vol. 16(2), pages 1-15, January.
    4. Sen, Kanchan Kumar & Karmaker, Shamal Chandra & Hosan, Shahadat & Chapman, Andrew J. & Uddin, Md Kamal & Saha, Bidyut Baran, 2023. "Energy poverty alleviation through financial inclusion: Role of gender in Bangladesh," Energy, Elsevier, vol. 282(C).
    5. Song, Yan & Gao, Jian & Zhang, Ming, 2023. "Study on the impact of energy poverty on income inequality at different stages of economic development: Evidence from 77 countries around the world," Energy, Elsevier, vol. 282(C).
    6. Zhao, Yujia & Shuai, Jing & Wang, Chaofan & Shuai, Chuanmin & Cheng, Xin & Wang, Yilan & Zhang, Zumeng & Ding, Liping & Zhu, Yongguang & Zhou, Na, 2023. "Do the photovoltaic poverty alleviation programs alleviate local energy poverty? —Empirical evidence of 9 counties in rural China," Energy, Elsevier, vol. 263(PD).
    7. Wang, Yao & Lin, Boqiang, 2022. "Can energy poverty be alleviated by targeting the low income? Constructing a multidimensional energy poverty index in China," Applied Energy, Elsevier, vol. 321(C).
    8. Qi, Haozhi & Huang, Xucheng & Sheeraz, Muhammad, 2023. "Green financing for renewable energy development: Driving the attainment of zero-emission targets," Renewable Energy, Elsevier, vol. 213(C), pages 30-37.
    9. Lan, Jing & Khan, Sufyan Ullah & Sadiq, Muhammad & Chien, Fengsheng & Baloch, Zulfiqar Ali, 2022. "Evaluating energy poverty and its effects using multi-dimensional based DEA-like mathematical composite indicator approach: Findings from Asia," Energy Policy, Elsevier, vol. 165(C).
    10. Siyou Xia & Yu Yang & Xiaoying Qian & Xin Xu, 2022. "Spatiotemporal Interaction and Socioeconomic Determinants of Rural Energy Poverty in China," IJERPH, MDPI, vol. 19(17), pages 1-15, August.

    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. Qurat-ul-Ann, Abre-Rehmat & Mirza, Faisal Mehmood, 2020. "Meta-analysis of empirical evidence on energy poverty: The case of developing economies," Energy Policy, Elsevier, vol. 141(C).
    2. 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).
    3. Ang'u, Cohen & Muthama, Nzioka John & Mutuku, Mwanthi Alexander & M’IKiugu, Mutembei Henry, 2023. "Analysis of energy poverty in Kenya and its implications for human health," Energy Policy, Elsevier, vol. 176(C).
    4. Banerjee, Rajabrata & Mishra, Vinod & Maruta, Admasu Asfaw, 2021. "Energy poverty, health and education outcomes: Evidence from the developing world," Energy Economics, Elsevier, vol. 101(C).
    5. 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).
    6. Laldjebaev, Murodbek & Hussain, Azmat, 2021. "Significance of context, metrics and datasets in assessment of multidimensional energy poverty: A case study of Tajikistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    7. 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.
    8. Rafi, Muhammed & Naseef, Mohemmad & Prasad, Salu, 2021. "Multidimensional energy poverty and human capital development: Empirical evidence from India," Energy Economics, Elsevier, vol. 101(C).
    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. Uche M. Ozughalu & Fidelis O. Ogwumike, 2019. "Extreme Energy Poverty Incidence and Determinants in Nigeria: A Multidimensional Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(3), pages 997-1014, April.
    11. 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).
    12. 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).
    13. Husnain, Muhammad Iftikhar ul & Nasrullah, Nasrullah & Khan, Muhammad Aamir & Banerjee, Suvajit, 2021. "Scrutiny of income related drivers of energy poverty: A global perspective," Energy Policy, Elsevier, vol. 157(C).
    14. Pan, Lei & Biru, Ashenafi & Lettu, Sandra, 2021. "Energy poverty and public health: Global evidence," Energy Economics, Elsevier, vol. 101(C).
    15. 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).
    16. 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.
    17. Wang, Hanjie & Maruejols, Lucie & Yu, Xiaohua, 2021. "Predicting energy poverty with combinations of remote-sensing and socioeconomic survey data in India: Evidence from machine learning," Energy Economics, Elsevier, vol. 102(C).
    18. Bezerra, Paula & Cruz, Talita & Mazzone, Antonella & Lucena, André F.P. & De Cian, Enrica & Schaeffer, Roberto, 2022. "The multidimensionality of energy poverty in Brazil: A historical analysis," Energy Policy, Elsevier, vol. 171(C).
    19. Abre-Rehmat Qurat-ul-Ann & Faisal Mehmood Mirza, 2021. "Multidimensional Energy Poverty in Pakistan: Empirical Evidence from Household Level Micro Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(1), pages 211-258, May.
    20. Ye, Yuxiang & Koch, Steven F., 2021. "Measuring energy poverty in South Africa based on household required energy consumption," Energy Economics, Elsevier, vol. 103(C).

    More about this item

    Keywords

    Multidimensional energy poverty; Household survey; Multilevel analysis; Health; Education; Bangladesh;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

    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:enepol:v:158:y:2021:i:c:s0301421521004493. 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.elsevier.com/locate/enpol .

    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.