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Declining Nutrient Intake in a Growing China: Does Household Heterogeneity Matter?

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  • You, Jing
  • Imai, Katsushi S.
  • Gaiha, Raghav

Abstract

This paper uses Chinese household data for 1989–2009 to explain why mean nutrient intake has declined despite economic growth. We focus on household heterogeneity in nutrient intake response to increases in household income allowing for its endogeneity. A quantile instrumental-variable fixed-effects panel estimation shows that rising income tends to reduce inequality in macronutrient intake in both urban and rural areas in 2004–09. This is driven by increases in nutrient intake for the urban nutrient poor and falls in nutrient intake for the rural nutrient non-poor. On the other hand, fluctuations in prices of meat, eggs, and oil increase nutrition poverty.

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  • You, Jing & Imai, Katsushi S. & Gaiha, Raghav, 2016. "Declining Nutrient Intake in a Growing China: Does Household Heterogeneity Matter?," World Development, Elsevier, vol. 77(C), pages 171-191.
  • Handle: RePEc:eee:wdevel:v:77:y:2016:i:c:p:171-191
    DOI: 10.1016/j.worlddev.2015.08.016
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    3. Katsushi S. Imai & Bilal Malaeb, 2016. "Asia's Rural-urban Disparity in the Context of Growing Inequality," Discussion Paper Series DP2016-29, Research Institute for Economics & Business Administration, Kobe University.
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    5. Imai, S.K. & Malaeb, B., 2018. "IFAD RESEARCH SERIES 27 - Asia’s rural-urban disparity in the context of growing inequality," IFAD Research Series 280076, International Fund for Agricultural Development (IFAD).
    6. Han, Xinru & Li, Guojing, 2021. "Shrinking Working-Age Population and Food Demand: Evidence from Rural China," 2021 Conference, August 17-31, 2021, Virtual 315000, International Association of Agricultural Economists.
    7. Galina Besstremyannaya & Sergei Golovan, 2019. "Reconsideration of a simple approach to quantile regression for panel data: a comment on the Canay (2011) fixed effects estimator," Working Papers w0249, New Economic School (NES).
    8. Animashaun, J., 2018. "Land asset and food insecurity in gender-segregated rural households in Bangladesh," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277132, International Association of Agricultural Economists.
    9. Imai, K.S. & Gaiha, R. & Garbero, A., 2018. "IFAD RESEARCH SERIES 22 - Poverty reduction during the rural-urban transformation: rural development is still more important than urbanization," IFAD Research Series 280071, International Fund for Agricultural Development (IFAD).
    10. Imai, Katsushi S. & Gaiha, Raghav & Garbero, Alessandra, 2017. "Poverty reduction during the rural–urban transformation: Rural development is still more important than urbanisation," Journal of Policy Modeling, Elsevier, vol. 39(6), pages 963-982.
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    More about this item

    Keywords

    nutrient intake; inequality; poverty; IV regression; quantile regression; China;
    All these keywords.

    JEL classification:

    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games

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