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Does climate risk impact household consumption? Evidence from China

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  • Li, Jialong
  • Li, Jiao

Abstract

Climate change is gradually reshaping consumption patterns, with extreme weather events exerting substantial negative effects. This paper examines the causal connection between household consumption and physical climate risk for a sample of households from the China Household Finance Survey (CHFS) between 2011 and 2019. The findings reveal that physical climate risks significantly decrease household consumption, which is driven by reductions in household income. We also find that commercial insurance can mitigate the negative impact of physical climate risk on household consumption, and the effects are stronger for households with low education levels, and those in adverse climatic regions and rural areas. These findings offer new insights into consumer behavior amid physical climate risks and provide implications for targeted policies supporting vulnerable groups.

Suggested Citation

  • Li, Jialong & Li, Jiao, 2025. "Does climate risk impact household consumption? Evidence from China," Economic Modelling, Elsevier, vol. 152(C).
  • Handle: RePEc:eee:ecmode:v:152:y:2025:i:c:s0264999325002652
    DOI: 10.1016/j.econmod.2025.107270
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    1. Fagereng, Andreas & Onshuus, Helene & Torstensen, Kjersti N., 2024. "The consumption expenditure response to unemployment: Evidence from Norwegian households," Journal of Monetary Economics, Elsevier, vol. 146(C).
    2. James R. Brown & Matthew T. Gustafson & Ivan T. Ivanov, 2021. "Weathering Cash Flow Shocks," Journal of Finance, American Finance Association, vol. 76(4), pages 1731-1772, August.
    3. Pengpeng Yue & Aslihan Gizem Korkmaz & Zhichao Yin & Haigang Zhou, 2022. "The rise of digital finance: Financial inclusion or debt trap," Papers 2201.09221, arXiv.org.
    4. Asger Lau Andersen & Amalie Sofie Jensen & Niels Johannesen & Claus Thustrup Kreiner & Søren Leth-Petersen & Adam Sheridan, 2023. "How Do Households Respond to Job Loss? Lessons from Multiple High-Frequency Datasets," American Economic Journal: Applied Economics, American Economic Association, vol. 15(4), pages 1-29, October.
    5. Kerwin Kofi Charles & Erik Hurst & Nikolai Roussanov, 2009. "Conspicuous Consumption and Race," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(2), pages 425-467.
    6. Dina Pomeranz & Felipe Kast, 2024. "Savings Accounts to Borrow Less: Experimental Evidence from Chile," Journal of Human Resources, University of Wisconsin Press, vol. 59(1), pages 70-108.
    7. Tullio Jappelli & Luigi Pistaferri, 2010. "The Consumption Response to Income Changes," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 479-506, September.
    8. Li Gan & Zhichao Yin & Nan Jia & Shu Xu & Shuang Ma & Lu Zheng, 2014. "Data you need to know about China," Springer Books, Springer, edition 127, number 978-3-642-38151-5, January.
    9. Hanan G. Jacoby & Emmanuel Skoufias, 1997. "Risk, Financial Markets, and Human Capital in a Developing Country," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(3), pages 311-335.
    10. Mullins, Jamie T. & White, Corey, 2019. "Temperature and mental health: Evidence from the spectrum of mental health outcomes," Journal of Health Economics, Elsevier, vol. 68(C).
    11. Fulford, Scott L. & Schuh, Scott D., 2024. "Credit cards, credit utilization, and consumption," Journal of Monetary Economics, Elsevier, vol. 148(C).
    12. Jordan Koder & James Dunk & Paul Rhodes, 2023. "Climate Distress: A Review of Current Psychological Research and Practice," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
    13. Niu, Geng & Jin, XiaoShu & Wang, Qi & Zhou, Yang, 2022. "Broadband infrastructure and digital financial inclusion in rural China," China Economic Review, Elsevier, vol. 76(C).
    14. Machado, José A.F. & Santos Silva, J.M.C., 2019. "Quantiles via moments," Journal of Econometrics, Elsevier, vol. 213(1), pages 145-173.
    15. Sarah Brown & Karl Taylor, 2008. "Household debt and financial assets: evidence from Germany, Great Britain and the USA," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(3), pages 615-643, June.
    16. Wang, Jianqiu & Yin, Zhichao & Jiang, Jialing, 2023. "The effect of the digital divide on household consumption in China," International Review of Financial Analysis, Elsevier, vol. 87(C).
    17. Li, Xue & Smyth, Russell & Yao, Yao, 2023. "Extreme temperatures and out-of-pocket medical expenditure: Evidence from China," China Economic Review, Elsevier, vol. 77(C).
    18. Hu, Debao & Zhai, Chenzhe & Wang, Xiaoyan & Huang, Xiaobao, 2024. "Does household risk attitude affect consumption expenditure? Evidence from Chinese urban households," Economic Modelling, Elsevier, vol. 141(C).
    19. Dessaint, Olivier & Matray, Adrien, 2017. "Do managers overreact to salient risks? Evidence from hurricane strikes," Journal of Financial Economics, Elsevier, vol. 126(1), pages 97-121.
    20. Abhijeet Ghadge & Hendrik Wurtmann & Stefan Seuring, 2020. "Managing climate change risks in global supply chains: a review and research agenda," International Journal of Production Research, Taylor & Francis Journals, vol. 58(1), pages 44-64, January.
    21. Li, Jie & Wu, Yu & Xiao, Jing Jian, 2020. "The impact of digital finance on household consumption: Evidence from China," Economic Modelling, Elsevier, vol. 86(C), pages 317-326.
    22. Campbell, John Y. & Cocco, Joao F., 2007. "How do house prices affect consumption? Evidence from micro data," Journal of Monetary Economics, Elsevier, vol. 54(3), pages 591-621, April.
    23. E. Somanathan & Rohini Somanathan & Anant Sudarshan & Meenu Tewari, 2021. "The Impact of Temperature on Productivity and Labor Supply: Evidence from Indian Manufacturing," Journal of Political Economy, University of Chicago Press, vol. 129(6), pages 1797-1827.
    24. Khamis, Melanie & Prakash, Nishith & Siddique, Zahra, 2012. "Consumption and social identity: Evidence from India," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 353-371.
    25. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    26. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2012. "Temperature Shocks and Economic Growth: Evidence from the Last Half Century," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(3), pages 66-95, July.
    27. Sule Alan & Martin Browning & Mette Ejrnæs, 2018. "Income and Consumption: A Micro Semistructural Analysis with Pervasive Heterogeneity," Journal of Political Economy, University of Chicago Press, vol. 126(5), pages 1827-1864.
    28. Yongmin Luo & Shenqi Ding & Qiyuan Li & Min Gao, 2024. "Adding insult to injury: Living in a remote location increases the burden of gift expenses among the rural poor in China," Journal of International Development, John Wiley & Sons, Ltd., vol. 36(5), pages 2229-2251, July.
    29. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    30. Sarah Brown & Mark N. Harris & Christopher Spencer & Karl Taylor, 2024. "Financial Expectations and Household Consumption: Does Middle‐Inflation Matter?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(4), pages 741-768, June.
    31. Jonathan Gruber & Aaron Yelowitz, 1999. "Public Health Insurance and Private Savings," Journal of Political Economy, University of Chicago Press, vol. 107(6), pages 1249-1274, December.
    32. Yue, Pengpeng & Korkmaz, Aslihan Gizem & Yin, Zhichao & Zhou, Haigang, 2022. "The rise of digital finance: Financial inclusion or debt trap?," Finance Research Letters, Elsevier, vol. 47(PA).
    33. Nora Pankratz & Rob Bauer & Jeroen Derwall, 2023. "Climate Change, Firm Performance, and Investor Surprises," Management Science, INFORMS, vol. 69(12), pages 7352-7398, December.
    34. Pushan Dutt & V. Padmanabhan, 2011. "Crisis and Consumption Smoothing," Marketing Science, INFORMS, vol. 30(3), pages 491-512, 05-06.
    35. Yang, Yang & Jiang, Jialing & Yin, Zhichao, 2021. "Social networks, shocks, and household consumption in China," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 111-122.
    36. Olivier Coibion & Dimitris Georgarakos & Yuriy Gorodnichenko & Geoff Kenny & Michael Weber, 2024. "The Effect of Macroeconomic Uncertainty on Household Spending," American Economic Review, American Economic Association, vol. 114(3), pages 645-677, March.
    37. Yang, Tong & Zhang, Xun, 2022. "FinTech adoption and financial inclusion: Evidence from household consumption in China," Journal of Banking & Finance, Elsevier, vol. 145(C).
    38. Lee, Seungyoon, 2023. "House prices, homeownership, and household consumption: Evidence from household panel data in Korea," Economic Modelling, Elsevier, vol. 126(C).
    39. Agarwal, Sumit & Qin, Yu & Shi, Luwen & Wei, Guoxu & Zhu, Hongjia, 2021. "Impact of temperature on morbidity: New evidence from China," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).
    40. Gupta, Prashant & Mallick, Sushanta & Mishra, Tapas, 2018. "Does social identity matter in individual alienation? Household-level evidence in post-reform India," World Development, Elsevier, vol. 104(C), pages 154-172.
    41. Yang, Bo & Ma, Fang & Deng, Weihua & Pi, Yang, 2022. "Digital inclusive finance and rural household subsistence consumption in China," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 627-642.
    42. Nora M C Pankratz & Christoph M Schiller, 2024. "Climate Change and Adaptation in Global Supply-Chain Networks," The Review of Financial Studies, Society for Financial Studies, vol. 37(6), pages 1729-1777.
    43. Hu, Debao & Zhai, Chenzhe & Zhao, Sibo, 2023. "Does digital finance promote household consumption upgrading? An analysis based on data from the China family panel studies," Economic Modelling, Elsevier, vol. 125(C).
    44. Anthony Heyes & Soodeh Saberian, 2022. "Correction to "Temperature and Decisions: Evidence from 207,000 Court Cases" and Reply to Spamann," American Economic Journal: Applied Economics, American Economic Association, vol. 14(4), pages 529-533, October.
    45. David Berger & Veronica Guerrieri & Guido Lorenzoni & Joseph Vavra, 2018. "House Prices and Consumer Spending," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(3), pages 1502-1542.
    46. Liu, Hong & Ma, Jinqiu & Zhao, Liqiu, 2023. "Public long-term care insurance and consumption of elderly households: Evidence from China," Journal of Health Economics, Elsevier, vol. 90(C).
    47. Tao Zhang, 2022. "Measuring following behaviour in gift giving by utility function: statistical model and empirical evidence from China," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 9(1), pages 1-12, December.
    48. Richard Blundell & Luigi Pistaferri & Ian Preston, 2008. "Consumption Inequality and Partial Insurance," American Economic Review, American Economic Association, vol. 98(5), pages 1887-1921, December.
    49. Chou, Shin-Yi & Liu, Jin-Tan & Hammitt, James K., 2003. "National Health Insurance and precautionary saving: evidence from Taiwan," Journal of Public Economics, Elsevier, vol. 87(9-10), pages 1873-1894, September.
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    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • G50 - Financial Economics - - Household Finance - - - General

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