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A multidimensional measure of energy poverty in China and its impacts on health: An empirical study based on the China family panel studies

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  • Zhang, Dayong
  • Li, Jiajia
  • Han, Phoumin

Abstract

Inability or insufficient access to modern forms of energy is an important issue in development, which makes the notion of energy poverty a widely discussed topic. A consensus has been reached that energy poverty has serious health, education, and other socio-economic impacts for people in a country. However, measurements of energy poverty have generally been absent or inaccurate, especially for developing countries at the micro level. This paper begins with the multidimensional nature of energy poverty and uses household-level survey data in China to construct a quantitative measure of energy poverty, covering both affordability of and accessibility to a broad range of forms of energy. It then builds an econometric model to address empirically how much energy poverty affects health. A statistically significant and robust negative impact on health from energy poverty is confirmed. Our results have important policy relevance in terms of understanding the current status quo of energy poverty in China and its consequences. The concept can also be expanded to investigate similar issues in other developing countries.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:enepol:v:131:y:2019:i:c:p:72-81
    DOI: 10.1016/j.enpol.2019.04.037
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    1. González-Eguino, Mikel, 2015. "Energy poverty: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 377-385.
    2. Xin Tang & Hua Liao, 2014. "Energy poverty and solid fuels use in rural China: Analysis based on national population census," CEEP-BIT Working Papers 57, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    3. Healy, John D. & Clinch, J. Peter, 2004. "Quantifying the severity of fuel poverty, its relationship with poor housing and reasons for non-investment in energy-saving measures in Ireland," Energy Policy, Elsevier, vol. 32(2), pages 207-220, January.
    4. Ogwumike, Fidelis O. & Ozughalu, Uche M., 2016. "Analysis of energy poverty and its implications for sustainable development in Nigeria," Environment and Development Economics, Cambridge University Press, vol. 21(3), pages 273-290, June.
    5. Legendre, Bérangère & Ricci, Olivia, 2015. "Measuring fuel poverty in France: Which households are the most fuel vulnerable?," Energy Economics, Elsevier, vol. 49(C), pages 620-628.
    6. Patrick Nussbaumer & Francesco Fuso Nerini & Ijeoma Onyeji & Mark Howells, 2013. "Global Insights Based on the Multidimensional Energy Poverty Index (MEPI)," Sustainability, MDPI, vol. 5(5), pages 1-17, May.
    7. O'Sullivan, Kimberley C. & Howden-Chapman, Philippa L. & Fougere, Geoff, 2011. "Making the connection: The relationship between fuel poverty, electricity disconnection, and prepayment metering," Energy Policy, Elsevier, vol. 39(2), pages 733-741, February.
    8. Unknown, 2016. "Energy for Sustainable Development," Conference Proceedings 253270, Guru Arjan Dev Institute of Development Studies (IDSAsr).
    9. 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.
    10. Bing Wang & Hua-Nan Li & Xiao-Chen Yuan & Zhen-Ming Sun, 2017. "Energy Poverty in China: A Dynamic Analysis Based on a Hybrid Panel Data Decision Model," Energies, MDPI, vol. 10(12), pages 1-14, November.
    11. Okushima, Shinichiro, 2016. "Measuring energy poverty in Japan, 2004–2013," Energy Policy, Elsevier, vol. 98(C), pages 557-564.
    12. Falak Sher & Akhtar Abbas & Rehmat Ullah Awan, 2014. "An Investigation of Multidimensional Energy Poverty in Pakistan: A Province Level Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 4(1), pages 65-75.
    13. Liddell, Christine & Morris, Chris, 2010. "Fuel poverty and human health: A review of recent evidence," Energy Policy, Elsevier, vol. 38(6), pages 2987-2997, June.
    14. Broadstock, David C. & Li, Jiajia & Zhang, Dayong, 2016. "Efficiency snakes and energy ladders: A (meta-)frontier demand analysis of electricity consumption efficiency in Chinese households," Energy Policy, Elsevier, vol. 91(C), pages 383-396.
    15. Scarpellini, Sabina & Rivera-Torres, Pilar & Suárez-Perales, Inés & Aranda-Usón, Alfonso, 2015. "Analysis of energy poverty intensity from the perspective of the regional administration: Empirical evidence from households in southern Europe," Energy Policy, Elsevier, vol. 86(C), pages 729-738.
    16. 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.
    17. John Hills, 2012. "Final report of the Hills Independent Fuel Poverty Review: Getting the Measure of Fuel Poverty," CASE Reports casereport72, Centre for Analysis of Social Exclusion, LSE.
    18. Papada, Lefkothea & Kaliampakos, Dimitris, 2016. "Measuring energy poverty in Greece," Energy Policy, Elsevier, vol. 94(C), pages 157-165.
    19. 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.
    20. 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.
    21. Jing Yang & Pundarik Mukhopadhaya, 2017. "Disparities in the Level of Poverty in China: Evidence from China Family Panel Studies 2010," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 132(1), pages 411-450, May.
    22. Leach, Gerald, 1992. "The energy transition," Energy Policy, Elsevier, vol. 20(2), pages 116-123, February.
    23. 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.
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    More about this item

    Keywords

    Energy poverty; Health impacts; Household survey; Multidimensional measure;
    All these keywords.

    JEL classification:

    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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