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Eliminating energy poverty in Chinese households: A cognitive capability framework

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  • Du, Juntao
  • Song, Malin
  • Xie, Bing

Abstract

Ensuring access to affordable, reliable, sustainable, and modern clean energy is essential for economic development, making energy poverty a pressing matter for both developing and developed countries. Studies have shown that low levels of income and consumption indicate poverty, and the essence of poverty is “capability poverty,” which has formed a new understanding of the causes of poverty. This study extends the capability framework to energy poverty. It uses data from the 2014, 2016, and 2018 China Family Panel Studies (CFPS) to build an empirical model to analyze the impact of cognitive capability on household energy poverty in terms of income levels and energy decision-making. A higher cognitive capability has a significant impact on encouraging households to eradicate energy poverty. Further, the non-linear moderation model is used to test the impact of the interaction between cognitive capability and income, information, and social network on energy poverty. This study provides a new perspective for understanding the driving factors of energy poverty and offers novel recommendations for policymakers to address the problem.

Suggested Citation

  • Du, Juntao & Song, Malin & Xie, Bing, 2022. "Eliminating energy poverty in Chinese households: A cognitive capability framework," Renewable Energy, Elsevier, vol. 192(C), pages 373-384.
    • Handle: RePEc:eee:renene:v:192:y:2022:i:c:p:373-384
    DOI: 10.1016/j.renene.2022.04.106
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    as
    1. Theodore Breton, 2012. "The role of cognitive skills in economic development revisited," Documentos de Trabajo CIEF 10576, Universidad EAFIT.
    2. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde, 2010. "Are Risk Aversion and Impatience Related to Cognitive Ability?," American Economic Review, American Economic Association, vol. 100(3), pages 1238-1260, June.
    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. Sumit Agarwal & Bhashkar Mazumder, 2013. "Cognitive Abilities and Household Financial Decision Making," American Economic Journal: Applied Economics, American Economic Association, vol. 5(1), pages 193-207, January.
    5. Eric A. Hanushek & Ludger Woessmann, 2008. "The Role of Cognitive Skills in Economic Development," Journal of Economic Literature, American Economic Association, vol. 46(3), pages 607-668, September.
    6. 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.
    7. Edward C. Norton & Hua Wang & Chunrong Ai, 2004. "Computing interaction effects and standard errors in logit and probit models," Stata Journal, StataCorp LP, vol. 4(2), pages 154-167, June.
    8. 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.
    9. Bernheim, B Douglas, 1994. "A Theory of Conformity," Journal of Political Economy, University of Chicago Press, vol. 102(5), pages 841-877, October.
    10. Xingqiang Du, 2016. "Does Confucianism Reduce Board Gender Diversity? Firm-Level Evidence from China," Journal of Business Ethics, Springer, vol. 136(2), pages 399-436, June.
    11. Pachauri, Shonali & Spreng, Daniel, 2011. "Measuring and monitoring energy poverty," Energy Policy, Elsevier, vol. 39(12), pages 7497-7504.
    12. Schaffrin, André & Reibling, Nadine, 2015. "Household energy and climate mitigation policies: Investigating energy practices in the housing sector," Energy Policy, Elsevier, vol. 77(C), pages 1-10.
    13. Christina Paxson & Norbert Schady, 2007. "Cognitive Development among Young Children in Ecuador: The Roles of Wealth, Health, and Parenting," Journal of Human Resources, University of Wisconsin Press, vol. 42(1).
    14. Hanushek, Eric A. & Woessmann, Ludger, 2012. "Schooling, educational achievement, and the Latin American growth puzzle," Journal of Development Economics, Elsevier, vol. 99(2), pages 497-512.
    15. 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.
    16. Moore, Richard, 2012. "Definitions of fuel poverty: Implications for policy," Energy Policy, Elsevier, vol. 49(C), pages 19-26.
    17. Ai, Chunrong & Norton, Edward C., 2003. "Interaction terms in logit and probit models," Economics Letters, Elsevier, vol. 80(1), pages 123-129, July.
    18. 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.
    19. Kaivan Munshi & Mark R. Rosenzweig, 2005. "Why is Mobility in India so Low? Social Insurance, Inequality, and Growth," CID Working Papers 121, Center for International Development at Harvard University.
    20. Avner Greif & Guido Tabellini, 2010. "Cultural and Institutional Bifurcation: China and Europe Compared," American Economic Review, American Economic Association, vol. 100(2), pages 135-140, May.
    21. Dustmann, Christian & Preston, Ian, 2001. "Attitudes to Ethic Minorities, Ethnic Context and Location Decisions," Economic Journal, Royal Economic Society, vol. 111(470), pages 353-373, April.
    22. Aristondo, Oihana & Onaindia, Eneritz, 2018. "Counting energy poverty in Spain between 2004 and 2015," Energy Policy, Elsevier, vol. 113(C), pages 420-429.
    23. Waddams Price, Catherine & Brazier, Karl & Wang, Wenjia, 2012. "Objective and subjective measures of fuel poverty," Energy Policy, Elsevier, vol. 49(C), pages 33-39.
    24. 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.
    25. Henderson, Heath & Follett, Lendie, 2020. "A Bayesian framework for estimating human capabilities," World Development, Elsevier, vol. 129(C).
    26. 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).
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. Corgnet, Brice & Espín, Antonio M. & Hernán-González, Roberto & Kujal, Praveen & Rassenti, Stephen, 2016. "To trust, or not to trust: Cognitive reflection in trust games," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 64(C), pages 20-27.
    32. 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.
    33. Kearns, Ade & Whitley, Elise & Curl, Angela, 2019. "Occupant behaviour as a fourth driver of fuel poverty (aka warmth & energy deprivation)," Energy Policy, Elsevier, vol. 129(C), pages 1143-1155.
    34. Adom, Philip Kofi & Amuakwa-Mensah, Franklin & Agradi, Mawunyo Prosper & Nsabimana, Aimable, 2021. "Energy poverty, development outcomes, and transition to green energy," Renewable Energy, Elsevier, vol. 178(C), pages 1337-1352.
    35. Harriet Thomson & Carolyn Snell & Stefan Bouzarovski, 2017. "Health, Well-Being and Energy Poverty in Europe: A Comparative Study of 32 European Countries," IJERPH, MDPI, vol. 14(6), pages 1-20, May.
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