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A Study on the Impact of Household Income on the Carbon Footprint of Household Food Waste: Evidence From the China Health and Nutrition Survey

Author

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  • Jianghua Liu
  • Wenlin Wang
  • Mengyuan Xie

Abstract

Over the recent decades, China has witnessed a significant increase in household income, while food waste has also been on the rise. Food waste has an impact on the environment as it increases carbon emissions, which may hinder the realization of China's emission reduction targets. However, the specific impact of the growth in household income on the carbon footprint caused by food waste remains unclear. Using data from the China Health and Nutrition Survey, this study employs Logit and Tobit models to examine the impact of household income on food‐waste behavior and the resulting carbon footprint. The results show that an increase in per capita household income is associated with a higher probability of food waste and an increase in the carbon footprint from household food waste. Heterogeneity analysis indicates that the effect of income growth is more pronounced among households in the northern provinces, rural areas, and those with lower educational levels. Additionally, we find an inverted U‐shaped relationship between household income and the carbon footprint of food waste in households with better dietary knowledge. Further analysis reveals that rising household incomes affect food waste's carbon footprint through three mechanisms: increased food waste volume (scale effect), higher proportions of carbon‐intensive foods in wasted items (structural effect), and improved food preservation/cooking infrastructure (technological effect).

Suggested Citation

  • Jianghua Liu & Wenlin Wang & Mengyuan Xie, 2025. "A Study on the Impact of Household Income on the Carbon Footprint of Household Food Waste: Evidence From the China Health and Nutrition Survey," International Studies of Economics, John Wiley & Sons, vol. 20(4), pages 431-451, December.
    • Handle: RePEc:wly:intsec:v:20:y:2025:i:4:p:431-451
    DOI: 10.1002/ise3.70021
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    1. Reynolds, Christian & Goucher, Liam & Quested, Tom & Bromley, Sarah & Gillick, Sam & Wells, Victoria K. & Evans, David & Koh, Lenny & Carlsson Kanyama, Annika & Katzeff, Cecilia & Svenfelt, Åsa & Jack, 2019. "Review: Consumption-stage food waste reduction interventions – What works and how to design better interventions," Food Policy, Elsevier, vol. 83(C), pages 7-27.
    2. Ren, Yanjun & Li, Hui & Wang, Xiaobing, 2019. "Family income and nutrition-related health: Evidence from food consumption in China," Social Science & Medicine, Elsevier, vol. 232(C), pages 58-76.
    3. Qi, Danyi & Li, Ran & Penn, Jerrod & Houghtaling, Bailey & Prinyawiwatkul, Witoon & Roe, Brian E., 2022. "Nudging greater vegetable intake and less food waste: A field experiment," Food Policy, Elsevier, vol. 112(C).
    4. James Heckman, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    5. Amemiya, Takeshi, 1973. "Regression Analysis when the Dependent Variable is Truncated Normal," Econometrica, Econometric Society, vol. 41(6), pages 997-1016, November.
    6. Daniel, Caitlin, 2016. "Economic constraints on taste formation and the true cost of healthy eating," Social Science & Medicine, Elsevier, vol. 148(C), pages 34-41.
    7. Zheng, Qiujie & Wang, H. Holly, 2016. "Chinese preferences for sustainable attributes for food away from home: A rank-ordered model," China Economic Review, Elsevier, vol. 41(C), pages 148-158.
    8. Du, Shufa & Mroz, Tom A. & Zhai, Fengying & Popkin, Barry M., 2004. "Rapid income growth adversely affects diet quality in China--particularly for the poor!," Social Science & Medicine, Elsevier, vol. 59(7), pages 1505-1515, October.
    9. Xiaohua Yu & David Abler, 2009. "The Demand for Food Quality in Rural China," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(1), pages 57-69.
    10. Zhou, Yang & Yang, Manfang & Gan, Xu, 2023. "Education and financial literacy: Evidence from compulsory schooling law in China," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 335-346.
    11. Uris Lantz C. Baldos & Thomas W. Hertel, 2014. "Global food security in 2050: the role of agricultural productivity and climate change," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 58(4), pages 554-570, October.
    12. Ding, Yawen & Min, Shi & Wang, Xiaobing & Yu, Xiaohua, 2022. "Memory of famine: The persistent impact of famine experience on food waste behavior," China Economic Review, Elsevier, vol. 73(C).
    13. Ananda, Jayanath & Gayana Karunasena, Gamithri & Pearson, David, 2022. "Identifying interventions to reduce household food waste based on food categories," Food Policy, Elsevier, vol. 111(C).
    14. Cuffey, Joel & Li, Wenying & Yu, Yang & Miao, Ruiqing, 2023. "Retail food environment and household food waste: An empirical study," Food Policy, Elsevier, vol. 117(C).
    15. Min, Shi & Wang, Xiaobing & Yu, Xiaohua, 2021. "Does dietary knowledge affect household food waste in the developing economy of China?," Food Policy, Elsevier, vol. 98(C).
    16. Secondi, Luca & Principato, Ludovica & Laureti, Tiziana, 2015. "Household food waste behaviour in EU-27 countries: A multilevel analysis," Food Policy, Elsevier, vol. 56(C), pages 25-40.
    17. Gene M. Grossman & Alan B. Krueger, 1991. "Environmental Impacts of a North American Free Trade Agreement," NBER Working Papers 3914, National Bureau of Economic Research, Inc.
    18. Afriyie , E. & Gatzweiler , F. & Zurek, M. & Asem, F.E. & Ahiakpa, J.K. & Okpattah, B. & et al, 2022. "Determinants of Household-Level Food Storage Practices and Outcomes on Food Safety and Security in Accra, Ghana," Department of Agricultural Economics and Agribusiness 387595, University of Ghana.
    19. Wang, Fei & Yu, Xiaohua, 2025. "Climate and household food waste in China," Food Policy, Elsevier, vol. 135(C).
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