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Remittances and multidimensional energy poverty: Evidence from a household survey in Bangladesh

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  • Hosan, Shahadat
  • Rahman, Md Matiar
  • Karmaker, Shamal Chandra
  • Chapman, Andrew J.
  • Saha, Bidyut Baran

Abstract

This paper explores the impact of remittances on multidimensional energy poverty in Bangladesh by employing a nationally representative Household Income and Expenditure Survey (HIES)-2016 with a sample size of 46,080 households. Remittance is one of the sources of household income that can be utilized for energy services. Energy poverty is generally described and quantified at the household level, exposing potential household characteristics in terms of energy costs and benefits and access to energy services. Controlling for the relevant characteristics of investigated households, mixed-effect linear regression, two-stage least square, and generalized ordered logistic regression reveal that households with remittance income have a significantly lower level of multidimensional energy poverty in Bangladesh. The outcomes of this work advocate that an upsurge in remittance inflow engenders a strong contribution toward alleviating energy poverty in Bangladesh and likely in other developing nations. National programs should be established for devising policies to promote migrant workers, lowering energy costs at the household level, and investing remittance income into modern energy technologies to ensure and enhance access to clean energy sources.

Suggested Citation

  • Hosan, Shahadat & Rahman, Md Matiar & Karmaker, Shamal Chandra & Chapman, Andrew J. & Saha, Bidyut Baran, 2023. "Remittances and multidimensional energy poverty: Evidence from a household survey in Bangladesh," Energy, Elsevier, vol. 262(PA).
    • Handle: RePEc:eee:energy:v:262:y:2023:i:pa:s0360544222022101
    DOI: 10.1016/j.energy.2022.125326
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    Cited by:

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    4. Barbara Kryk & Malgorzata K. Guzowska, 2023. "Assessing the Level of Energy Poverty Using a Synthetic Multidimensional Energy Poverty Index in EU Countries," Energies, MDPI, vol. 16(3), pages 1-31, January.
    5. Wang, Xiong & Yang, Wanping & Ren, Xiaohang & Lu, Zudi, 2023. "Can financial inclusion affect energy poverty in China? Evidence from a spatial econometric analysis," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 255-269.
    6. 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).
    7. Subramaniam, Yogeeswari & Loganathan, Nanthakumar & Subramaniam, Thirunaukarasu, 2023. "The moderating role of remittances in the energy security-poverty nexus in developing countries," Utilities Policy, Elsevier, vol. 84(C).
    8. Zhao, Congyu & Dong, Kangyin & Jiang, Hong-Dian & Wang, Kun & Dong, Xiucheng, 2023. "How does energy poverty eradication realize the path to carbon unlocking? The case of China," Energy Economics, Elsevier, vol. 121(C).
    9. Li, Jiapeng & Zuo, Xuguang & Sun, Chuanwang, 2023. "The effect of urban renewal on residential energy consumption expenditure--the example of shantytown renovation," Energy Policy, Elsevier, vol. 183(C).
    10. Ren, Zhiyuan & Zhu, Yuhan & Jin, Canyang & Xu, Aiting, 2023. "Social capital and energy poverty: Empirical evidence from China," Energy, Elsevier, vol. 267(C).
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