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Reducing energy poverty by nearly universal pension coverage of rural China

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  • Li, Jianglong
  • Gao, Jinfeng
  • Liu, Hongxun

Abstract

This paper estimates the causal effect of income change on reducing energy poverty by exploiting age-based eligibility for China’s New Rural Pension Scheme (NRPS) through a regression discontinuity (RD) design. More than one billion people worldwide live in energy poverty, and the situation is even more difficult in developing world. It is an important development challenge to reduce energy poverty, which could be further associated with health outcome, labor productivity, and educational achievements. While public policies that increase income for poor households are the most direct ways to reduce energy poverty, the reverse causality makes establishing a convincing causal link between income and energy poverty challenging. Using the quasi-experimental variation in income induced by NRPS, this paper addresses the endogeneity of income and examines the impact of exogenous sharp changes in income on energy consumption behaviors. The findings indicate substantial increases in modern energy consumption and sizable reductions in solid fuels (e.g., straw and fuelwood), suggesting that “windfall income” by pension coverage alleviates energy poverty. Although individuals could anticipate the income shocks by pension coverage, the evidence suggests that they do not engage in anticipatory responses to smooth their consumption. Further evidence shows that liquidity constraints may be the underlying mechanism for the lack of anticipatory responses in household energy consumption. Besides reducing energy poverty, the results demonstrate that pension coverage leads to a decrease in elderly labor supply, an increase in subjective health and life satisfaction, and an increase in non-energy consumption, all of which are positively associated with the well-beings of senior citizens. We anticipate that the findings of this paper in the context of China may be extended to developing world which has been expected to set up targeted measures to tackle energy poverty in upcoming decades.

Suggested Citation

  • Li, Jianglong & Gao, Jinfeng & Liu, Hongxun, 2024. "Reducing energy poverty by nearly universal pension coverage of rural China," World Development, Elsevier, vol. 176(C).
  • Handle: RePEc:eee:wdevel:v:176:y:2024:i:c:s0305750x2300342x
    DOI: 10.1016/j.worlddev.2023.106524
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    as
    1. Cheng, Zhiming & Guo, Liwen & Smyth, Russell & Tani, Massimiliano, 2022. "Childhood adversity and energy poverty," Energy Economics, Elsevier, vol. 111(C).
    2. Silvia Helena Barcellos & Mireille Jacobson, 2015. "The Effects of Medicare on Medical Expenditure Risk and Financial Strain," American Economic Journal: Economic Policy, American Economic Association, vol. 7(4), pages 41-70, November.
    3. He, Xiaoping, 2019. "China's electrification and rural labor: Analysis with fuzzy regression discontinuity," Energy Economics, Elsevier, vol. 81(C), pages 650-660.
    4. Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik, 2014. "Robust data-driven inference in the regression-discontinuity design," Stata Journal, StataCorp LP, vol. 14(4), pages 909-946, December.
    5. Taryn Dinkelman, 2011. "The Effects of Rural Electrification on Employment: New Evidence from South Africa," American Economic Review, American Economic Association, vol. 101(7), pages 3078-3108, December.
    6. Rafi, Muhammed & Naseef, Mohemmad & Prasad, Salu, 2021. "Multidimensional energy poverty and human capital development: Empirical evidence from India," Energy Economics, Elsevier, vol. 101(C).
    7. Barron, Manuel & Torero, Maximo, 2017. "Household electrification and indoor air pollution," Journal of Environmental Economics and Management, Elsevier, vol. 86(C), pages 81-92.
    8. Eric V. Edmonds & Kristin Mammen & Douglas L. Miller, 2005. "Rearranging the Family?: Income Support and Elderly Living Arrangements in a Low-Income Country," Journal of Human Resources, University of Wisconsin Press, vol. 40(1).
    9. Muller, Christophe & Yan, Huijie, 2018. "Household fuel use in developing countries: Review of theory and evidence," Energy Economics, Elsevier, vol. 70(C), pages 429-439.
    10. Justin Caron & Thibault Fally, 2022. "Per Capita Income, Consumption Patterns, and CO2 Emissions," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 9(2), pages 235-271.
    11. Fujii, Tomoki & Shonchoy, Abu S., 2020. "Fertility and rural electrification in Bangladesh," Journal of Development Economics, Elsevier, vol. 143(C).
    12. Li, Yunwei & Ning, Xiao & Wang, Zijie & Cheng, Jingyu & Li, Fumeng & Hao, Yu, 2022. "Would energy poverty affect the wellbeing of senior citizens? Evidence from China," Ecological Economics, Elsevier, vol. 200(C).
    13. Emma Aguila & Jung Ho Park & Alma Vega, 2020. "Living Arrangements and Supplemental Income Programs for Older Adults in Mexico," Demography, Springer;Population Association of America (PAA), vol. 57(4), pages 1345-1368, August.
    14. Khandker, Shahidur R. & Barnes, Douglas F. & Samad, Hussain A., 2010. "Energy poverty in rural and urban India : are the energy poor also income poor ?," Policy Research Working Paper Series 5463, The World Bank.
    15. Koichiro Ito, 2014. "Do Consumers Respond to Marginal or Average Price? Evidence from Nonlinear Electricity Pricing," American Economic Review, American Economic Association, vol. 104(2), pages 537-563, February.
    16. Cheng, Lingguo & Liu, Hong & Zhang, Ye & Zhao, Zhong, 2018. "The health implications of social pensions: Evidence from China's new rural pension scheme," Journal of Comparative Economics, Elsevier, vol. 46(1), pages 53-77.
    17. Manxiu Ning & Weiping Liu & Jinquan Gong & Xudong Liu, 2018. "Does the New Rural Pension Scheme crowd out private transfers from children to parents? Empirical evidence from China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 11(2), pages 411-430, July.
    18. Renner, Sebastian & Lay, Jann & Schleicher, Michael, 2019. "The effects of energy price changes: heterogeneous welfare impacts and energy poverty in Indonesia," Environment and Development Economics, Cambridge University Press, vol. 24(2), pages 180-200, April.
    19. Müller, Tobias & Shaikh, Mujaheed, 2018. "Your retirement and my health behavior: Evidence on retirement externalities from a fuzzy regression discontinuity design," Journal of Health Economics, Elsevier, vol. 57(C), pages 45-59.
    20. Zi, Cao & Qian, Meng & Baozhong, Gao, 2021. "The consumption patterns and determining factors of rural household energy: A case study of Henan Province in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    21. Li, Jianglong & Sun, Chuanwang, 2018. "Towards a low carbon economy by removing fossil fuel subsidies?," China Economic Review, Elsevier, vol. 50(C), pages 17-33.
    22. Wei Huang & Chuanchuan Zhang, 2021. "The Power of Social Pensions: Evidence from China's New Rural Pension Scheme," American Economic Journal: Applied Economics, American Economic Association, vol. 13(2), pages 179-205, April.
    23. Paul J. Gertler & Orie Shelef & Catherine D. Wolfram & Alan Fuchs, 2016. "The Demand for Energy-Using Assets among the World's Rising Middle Classes," American Economic Review, American Economic Association, vol. 106(6), pages 1366-1401, June.
    24. Adusah-Poku, Frank & Takeuchi, Kenji, 2019. "Household energy expenditure in Ghana: A double-hurdle model approach," World Development, Elsevier, vol. 117(C), pages 266-277.
    25. Manxiu Ning & Weiping Liu & Jinquan Gong & Xudong Liu, 2018. "Does the New Rural Pension Scheme crowd out private transfers from children to parents? Empirical evidence from China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 11(2), pages 411-430, July.
    26. Alejandrina Salcedo & Todd Schoellman & Michèle Tertilt, 2012. "Families as roommates: Changes in U.S. household size from 1850 to 2000," Quantitative Economics, Econometric Society, vol. 3(1), pages 133-175, March.
    27. Qin Li & Yafeng Wang & Yaohui Zhao, 2018. "The Impact of China's New Rural Pension Program on Elderly Labor, Grandchild Care, and Old-Age Support," Feminist Economics, Taylor & Francis Journals, vol. 24(2), pages 265-287, April.
    28. Michael Anderson & Carlos Dobkin & Tal Gross, 2012. "The Effect of Health Insurance Coverage on the Use of Medical Services," American Economic Journal: Economic Policy, American Economic Association, vol. 4(1), pages 1-27, February.
    29. Maximilian Auffhammer & Catherine D. Wolfram, 2014. "Powering Up China: Income Distributions and Residential Electricity Consumption," American Economic Review, American Economic Association, vol. 104(5), pages 575-580, May.
    30. van der Kroon, Bianca & Brouwer, Roy & van Beukering, Pieter J.H., 2013. "The energy ladder: Theoretical myth or empirical truth? Results from a meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 504-513.
    31. Grogan, Louise, 2018. "Time use impacts of rural electrification: Longitudinal evidence from Guatemala," Journal of Development Economics, Elsevier, vol. 135(C), pages 304-317.
    32. Xi Chen, 2017. "Old age pension and intergenerational living arrangements: a regression discontinuity design," Review of Economics of the Household, Springer, vol. 15(2), pages 455-476, June.
    33. Ning, Manxiu & Gong, Jinquan & Zheng, Xuhui & Zhuang, Jun, 2016. "Does New Rural Pension Scheme decrease elderly labor supply? Evidence from CHARLS," China Economic Review, Elsevier, vol. 41(C), pages 315-330.
    34. Gelo, Dambala & Kollamparambil, Umakrishnan & Jeuland, Marc, 2023. "The causal effect of income on household energy transition: Evidence from old age pension eligibility in South Africa," Energy Economics, Elsevier, vol. 119(C).
    35. Xu Si & Fu-Ling Chu, 2022. "The impact of the Public Pension Program on the elderly’s medical expenditures: a regression discontinuity approach," Journal of Applied Economics, Taylor & Francis Journals, vol. 25(1), pages 178-196, December.
    36. Nguyen, Canh Phuc & Su, Thanh Dinh, 2022. "The influences of government spending on energy poverty: Evidence from developing countries," Energy, Elsevier, vol. 238(PA).
    37. Cygan-Rehm, Kamila & Kuehnle, Daniel & Riphahn, Regina T., 2018. "Paid parental leave and families’ living arrangements," Labour Economics, Elsevier, vol. 53(C), pages 182-197.
    38. Unnikrishnan, Vidhya & Imai, Katsushi S., 2020. "Does the old-age pension scheme improve household welfare? Evidence from India," World Development, Elsevier, vol. 134(C).
    39. Peng Nie & Alfonso Sousa-Poza & Jianhong Xue, 2016. "Fuel for Life: Domestic Cooking Fuels and Women’s Health in Rural China," IJERPH, MDPI, vol. 13(8), pages 1-22, August.
    40. Brounen, Dirk & Kok, Nils & Quigley, John M., 2012. "Residential energy use and conservation: Economics and demographics," European Economic Review, Elsevier, vol. 56(5), pages 931-945.
    41. Filer, Larry & Fisher, Jonathan D., 2007. "Do liquidity constraints generate excess sensitivity in consumption? New evidence from a sample of post-bankruptcy households," Journal of Macroeconomics, Elsevier, vol. 29(4), pages 790-805, December.
    42. 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).
    43. Okushima, Shinichiro, 2017. "Gauging energy poverty: A multidimensional approach," Energy, Elsevier, vol. 137(C), pages 1159-1166.
    44. Cao, Jing & Ho, Mun Sing & Li, Yating & Newell, Richard G. & Pizer, William A., 2019. "Chinese residential electricity consumption: Estimation and forecast using micro-data," Resource and Energy Economics, Elsevier, vol. 56(C), pages 6-27.
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