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The Direct and Structure Effect of Income on Nutrition Demand of Chinese Rural Residents

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  • Qiyan Zeng

    (School of Economics and Management, Zhejiang A&F University, Hangzhou 311300, China
    Research Academy for Rural Revitalization of Zhejiang Province, Zhejiang A&F University, Hangzhou 311300, China
    Institute of Ecological Civilization, Zhejiang A&F University, Hangzhou 311300, China)

  • Zhipeng He

    (School of Economics and Management, China Agricultural University, Beijing 100083, China
    Beijing Food Safety Policy and Strategy Research Base, China Agricultural University, Beijing 100083, China)

  • Yuting Wang

    (School of Economics and Management, Zhejiang A&F University, Hangzhou 311300, China)

Abstract

Although a significant body of literature has analyzed the effect of income-mediated policies on nutrition, research on how income affect nutrition consumption is scant. This paper contributes to the literature by decomposing the overall income effect on rural residents’ calorie intake into the direct income effect and the structure effect by building a simple theoretical model and conducting related empirical research with an instrumental variable (IV) approach. Using nationally representative data from China, we find that the structure effect of income, represented by fat share growth induced by income, occupies a considerable proportion (38.03%) of overall income effect. Additionally, we provide evidence of an asymmetric distributional effect of income on calorie intake. In particular, the structure effect of income substantially accounts for a larger proportion in the higher quantiles of the calorie intake distribution. Our findings help better evaluate the effectiveness of the income-mediated policies from quantity and structure perspectives in a comprehensive framework.

Suggested Citation

  • Qiyan Zeng & Zhipeng He & Yuting Wang, 2022. "The Direct and Structure Effect of Income on Nutrition Demand of Chinese Rural Residents," IJERPH, MDPI, vol. 19(20), pages 1-13, October.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:20:p:13388-:d:944436
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    References listed on IDEAS

    as
    1. Mangyo, Eiji, 2008. "Who benefits more from higher household consumption? The intra-household allocation of nutrients in China," Journal of Development Economics, Elsevier, vol. 86(2), pages 296-312, June.
    2. Amelia B. Finaret & William A. Masters, 2019. "Beyond Calories: The New Economics of Nutrition," Annual Review of Resource Economics, Annual Reviews, vol. 11(1), pages 237-259, October.
    3. Christophe Gouel & Houssein Guimbard, 2019. "Nutrition Transition and the Structure of Global Food Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(2), pages 383-403.
    4. Doan, Dung, 2014. "Does income growth improve diet diversity in China?," 2014 Conference (58th), February 4-7, 2014, Port Macquarie, Australia 165836, Australian Agricultural and Resource Economics Society.
    5. Aromolaran, Adebayo B., 2004. "Household income, women's income share and food calorie intake in South Western Nigeria," Food Policy, Elsevier, vol. 29(5), pages 507-530, October.
    6. Zeng, Qiyan & Yu, Xiaohua & Bao, Te, 2020. "Memory utility, food consumption and obesity," China Economic Review, Elsevier, vol. 62(C).
    7. Xavier Irz, 2010. "Modeling physical quantities of food and nutrients consumed from aggregate data—with an application to Finland," Agricultural Economics, International Association of Agricultural Economists, vol. 41(3‐4), pages 293-304, May.
    8. Emmanuel Skoufias & Vincenzo Di Maro & Teresa González‐Cossío & Sonia Rodríguez Ramírez, 2009. "Nutrient consumption and household income in rural Mexico," Agricultural Economics, International Association of Agricultural Economists, vol. 40(6), pages 657-675, November.
    9. Zhong, Funing & Xiang, Jing & Zhu, Jing, 2012. "Impact of demographic dynamics on food consumption — A case study of energy intake in China," China Economic Review, Elsevier, vol. 23(4), pages 1011-1019.
    10. De Zhou & Xiaohua Yu, 2015. "Calorie Elasticities with Income Dynamics: Evidence from the Literature," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 37(4), pages 575-601.
    11. Chernozhukov, Victor & Hansen, Christian, 2008. "Instrumental variable quantile regression: A robust inference approach," Journal of Econometrics, Elsevier, vol. 142(1), pages 379-398, January.
    12. Colen, L. & Melo, P.C. & Abdul-Salam, Y. & Roberts, D. & Mary, S. & Gomez Y Paloma, S., 2018. "Income elasticities for food, calories and nutrients across Africa: A meta-analysis," Food Policy, Elsevier, vol. 77(C), pages 116-132.
    13. Xin Meng & Xiaodong Gong & Youjuan Wang, 2009. "Impact of Income Growth and Economic Reform on Nutrition Availability in Urban China: 1986-2000," Economic Development and Cultural Change, University of Chicago Press, vol. 57(2), pages 261-295, January.
    14. Mohammad Ali & Kira M. Villa & Janak Joshi, 2018. "Health and hunger: nutrient response to income depending on caloric availability in Nepal," Agricultural Economics, International Association of Agricultural Economists, vol. 49(5), pages 611-621, September.
    15. 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.
    16. Biswabhusan Bhuyan & Bimal Kishore Sahoo & Damodar Suar, 2020. "Quantile Regression Analysis of Predictors of Calorie Demand in India: An Implication for Sustainable Development Goals," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(4), pages 825-859, December.
    17. Strauss, John & Thomas, Duncan, 1995. "Human resources: Empirical modeling of household and family decisions," Handbook of Development Economics, in: Hollis Chenery & T.N. Srinivasan (ed.), Handbook of Development Economics, edition 1, volume 3, chapter 34, pages 1883-2023, Elsevier.
    18. Victor Chernozhukov & Christian Hansen, 2005. "An IV Model of Quantile Treatment Effects," Econometrica, Econometric Society, vol. 73(1), pages 245-261, January.
    19. Trinh Thi, Huong & Simioni, Michel & Thomas-Agnan, Christine, 2018. "Assessing the nonlinearity of the calorie-income relationship: An estimation strategy – With new insights on nutritional transition in Vietnam," World Development, Elsevier, vol. 110(C), pages 192-204.
    20. Yang Gao & Zhihao Zheng & Shida R. Henneberry, 2020. "Is nutritional status associated with income growth? Evidence from Chinese adults," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 12(3), pages 507-525, April.
    21. Doan, Dung, 2014. "Does income growth improve diet diversity in China?," 2014 Conference (58th), February 4-7, 2014, Port Macquarie, Australia 165833, Australian Agricultural and Resource Economics Society.
    22. Xu Tian & Xiaohua Yu, 2013. "The Demand for Nutrients in China," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 8(2), pages 186-206, June.
    23. Kolawole Ogundari & Shoichi Ito & Victor O Okoruwa, 2016. "Estimating nutrition-income elasticities in sub-Saharan Africa: implications on health," Journal of Economic Studies, Emerald Group Publishing, vol. 43(1), pages 59-69, January.
    24. 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.
    25. Qian Sun & Xiaoyun Li & Dil Bahadur Rahut, 2021. "Gender Differences in Nutritional Intake among Rural-Urban Migrants in China," IJERPH, MDPI, vol. 18(18), pages 1-17, September.
    26. Van den Broeck, Goedele & Mardulier, Myrthe & Maertens, Miet, 2021. "All that is gold does not glitter: Income and nutrition in Tanzania," Food Policy, Elsevier, vol. 99(C).
    27. Curtis, Kynda R. & McCluskey, Jill J. & Wahl, Thomas I., 2007. "Consumer preferences for western-style convenience foods in China," China Economic Review, Elsevier, vol. 18(1), pages 1-14.
    28. Emmanuel Skoufias & Vincenzo Di Maro & Teresa Gonzalez-Cossio & Sonia Rodriguez Ramirez, 2011. "Food quality, calories and household income," Applied Economics, Taylor & Francis Journals, vol. 43(28), pages 4331-4342.
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