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Food expenditure patterns and dietary diversity in Nepal: Is dietary quality improving?

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  • Kumar, Anjani
  • Thapa, Ganesh B.
  • Joshi, Pramod Kumar

Abstract

The paper measures dietary diversity among different income groups in Nepal and identifies the drivers of this diversity as a first step toward addressing the widespread prevalence of nutrient deficiency. The level of diversity in household diets is an indirect measure of dietary quality and the extent to which the nutritional needs of households are being met. However, there is limited understanding of the trends, patterns, and determinants of dietary diversity in Nepal. This study is an attempt to enrich the literature on this issue. Drawing on unit-level data from three rounds (1995, 2004, and 2011) of the Nepal Living Standards Survey (NLSS), we use multilevel modeling, quantile regression, and the Blinder-Oaxaca decomposition method to decipher the trends, determinants, and drivers of dietary diversity in Nepal. Our study finds that changes in household sociodemographic and agricultural characteristics are very important in explaining the improvement in dietary quality. Changes in household characteristics account for at least 37 percent of the observed improvement, and agriculture-related changes explain at least 16 percent of the observed improvement. Variables positively associated with dietary quality are remittances, social cash transfers, parents’ education, crop diversity, access to markets and paved roads, and ownership of a television and telephone, among others. Our findings are highly robust across the different model specifications. Our study concludes by calling for a multisectoral approach to tackle nutrition issues in Nepal.

Suggested Citation

  • Kumar, Anjani & Thapa, Ganesh B. & Joshi, Pramod Kumar, 2017. "Food expenditure patterns and dietary diversity in Nepal: Is dietary quality improving?," IFPRI discussion papers 1670, International Food Policy Research Institute (IFPRI).
  • Handle: RePEc:fpr:ifprid:1670
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    1. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    2. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    3. Sharma, Ajay & Chandrasekhar, S., 2016. "Impact of commuting by workers on household dietary diversity in rural India," Food Policy, Elsevier, vol. 59(C), pages 34-43.
    4. Neha Kumar & Jody Harris & Rahul Rawat, 2015. "If They Grow It, Will They Eat and Grow? Evidence from Zambia on Agricultural Diversity and Child Undernutrition," Journal of Development Studies, Taylor & Francis Journals, vol. 51(8), pages 1060-1077, August.
    5. Ben Jann, 2008. "The Blinder–Oaxaca decomposition for linear regression models," Stata Journal, StataCorp LP, vol. 8(4), pages 453-479, December.
    6. Smith, Lisa C. & Haddad, Lawrence James, 2000. "Explaining child malnutrition in developing countries: a cross-country analysis," Research reports 111, International Food Policy Research Institute (IFPRI).
    7. Bhagowalia, Priya & Headey, Derek D. & Kadiyala, Suneetha, 2012. "Agriculture, Income, and Nutrition Linkages in India: Insights from a Nationally Representative Survey:," IFPRI discussion papers 1195, International Food Policy Research Institute (IFPRI).
    8. Nguyen, Minh Cong & Winters, Paul, 2011. "The impact of migration on food consumption patterns: The case of Vietnam," Food Policy, Elsevier, vol. 36(1), pages 71-87, February.
    9. Jones, Andrew D. & Shrinivas, Aditya & Bezner-Kerr, Rachel, 2014. "Farm production diversity is associated with greater household dietary diversity in Malawi: Findings from nationally representative data," Food Policy, Elsevier, vol. 46(C), pages 1-12.
    10. Jere R. Behrman & Anil B. Deolalikar, 1990. "The Intrahousehold Demand for Nutrients in Rural South India: Individual Estimates, Fixed Effects, and Permanent Income," Journal of Human Resources, University of Wisconsin Press, vol. 25(4), pages 665-696.
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    Cited by:

    1. Anjani Kumar & Ganesh Thapa & Ashok K. Mishra & P. K. Joshi, 2020. "Assessing food and nutrition security in Nepal: evidence from diet diversity and food expenditure patterns," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(2), pages 327-354, April.
    2. Oluwakemi Adeola Obayelu & Olusayo Olubisi Idowu, 2019. "Dietary diversity status of rural households in Nigeria: A gendered perspective," Economia agro-alimentare, FrancoAngeli Editore, vol. 21(3), pages 613-636.
    3. Pinaki Das & Sk Md Abul Basar, 2020. "Are the Non-poor Households Nutritionally Secure? An Assessment from NSSO Unit Level Data in India Between 2004–2005 and 2011–2012," Indian Journal of Human Development, , vol. 14(2), pages 182-201, August.

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