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Asymmetric Intrahousehold Allocation of Calories in China

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  • Satoru Shimokawa

Abstract

To analyze intrahousehold calorie allocation, we propose a new framework that takes into account asymmetric consumption behavior due to liquidity constraints and loss aversion. We find that intrahousehold calorie allocation responds asymmetrically to expected declines and increases in household food availability in China. Compared with previous studies based on symmetric consumption behavior, our framework provides stronger evidence of gender bias in intrahousehold calorie allocation among children in urban areas and among elderly people in rural areas, and of demographic bias between girls and prime-age adults in both urban and rural areas. Implications for demographic targeting in nutrition programs are discussed. Copyright 2010, Oxford University Press.

Suggested Citation

  • Satoru Shimokawa, 2010. "Asymmetric Intrahousehold Allocation of Calories in China," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(3), pages 873-888.
  • Handle: RePEc:oup:ajagec:v:92:y:2010:i:3:p:873-888
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    File URL: http://hdl.handle.net/10.1093/ajae/aap043
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    Cited by:

    1. Yu, Xiaohua & Abler, David, 2016. "Matching food with mouths: A statistical explanation to the abnormal decline of per capita food consumption in rural China," Food Policy, Elsevier, vol. 63(C), pages 36-43.
    2. Phiri, Andrew & Dube, Wisdom, 2014. "Nutrition and economic growth in South Africa: A momentum threshold autoregressive (MTAR) approach," MPRA Paper 52950, University Library of Munich, Germany.
    3. Xiaohua Yu & Satoru Shimokawa, 2016. "Nutritional impacts of rising food prices in African countries: a review," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 8(5), pages 985-997, October.
    4. Utsunomiya, Ryo & Nakatani, Tomoaki & Nakashima, Yasuhiro, 2024. "Purchases for Family: Heterogeneity of Demand Responses to Changes in Price and Expenditure," IAAE 2024 Conference, August 2-7, 2024, New Delhi, India 344311, International Association of Agricultural Economists (IAAE).
    5. Luo, Hengrong & Yu, Xiaohua, 2020. "Meat Consumption, Dietary Structure and Nutrition Transition in China," GlobalFood Discussion Papers 305415, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    6. Shimokawa, Satoru, 2013. "When does dietary knowledge matter to obesity and overweight prevention?," Food Policy, Elsevier, vol. 38(C), pages 35-46.
    7. Li Zhou & Xiaohong Chen & Lei Lei, 2018. "Intra-Household Allocation of Nutrients in an Opening China," IJERPH, MDPI, vol. 15(4), pages 1-24, April.
    8. Tian, Xu & Yu, Xiaohua, 2015. "Using semiparametric models to study nutrition improvement and dietary change with different indices: The case of China," Food Policy, Elsevier, vol. 53(C), pages 67-81.

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