IDEAS home Printed from https://ideas.repec.org/p/fpr/ifprid/1670.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://cdm15738.contentdm.oclc.org/utils/getfile/collection/p15738coll2/id/131372/filename/131583.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    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. Ervin, Paul A. & Bubak, Vit, 2019. "Closing the rural-urban gap in child malnutrition: Evidence from Paraguay, 1997–2012," Economics & Human Biology, Elsevier, vol. 32(C), pages 1-10.
    4. Thomas Y. Mathä & Alessandro Porpiglia & Michael Ziegelmeyer, 2014. "Wealth differences across borders and the effect of real estate price dynamics: Evidence from two household surveys," BCL working papers 90, Central Bank of Luxembourg.
    5. Marco Caliendo & Frank M. Fossen & Alexander Kritikos & Miriam Wetter, 2015. "The Gender Gap in Entrepreneurship: Not just a Matter of Personality," CESifo Economic Studies, CESifo Group, vol. 61(1), pages 202-238.
    6. Huong Thu Le & Ha Trong Nguyen, 2018. "The evolution of the gender test score gap through seventh grade: new insights from Australia using unconditional quantile regression and decomposition," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-42, December.
    7. Kilic, Talip & Palacios-López, Amparo & Goldstein, Markus, 2015. "Caught in a Productivity Trap: A Distributional Perspective on Gender Differences in Malawian Agriculture," World Development, Elsevier, vol. 70(C), pages 416-463.
    8. Andaleeb Rahman & Sumit Mishra, 2020. "Does Non-farm Income Affect Food Security? Evidence from India," Journal of Development Studies, Taylor & Francis Journals, vol. 56(6), pages 1190-1209, June.
    9. Tymon Słoczyński, 2015. "The Oaxaca–Blinder Unexplained Component as a Treatment Effects Estimator," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(4), pages 588-604, August.
    10. Bachmann, Ronald & Martinez Flores, Fernanda & Rulff, Christian, 2022. "Die Lohnlücke in der Zeitarbeit: Eine empirische Analyse auf Grundlage von BA-Daten und der Verdienststrukturerhebung," RWI Projektberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, number 262219, March.
    11. Sánchez-Jabba, Andrés Mauricio, 2014. "Etnia y rendimiento académico en Colombia," Chapters, in: Sánchez Jabba, Andrés & Otero Cortés, Andrea (ed.), Educación y desarrollo regional en Colombia, chapter 2, pages 59-100, Banco de la Republica de Colombia.
    12. Sukhwinder Singh & Andrew D. Jones & Ruth S. DeFries & Meha Jain, 2020. "The association between crop and income diversity and farmer intra-household dietary diversity in India," 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 369-390, April.
    13. Azam Mehtabul & Han Luyi, 2020. "Accounting for Differences in Female Labor Force Participation between China and India," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 20(2), pages 1-17, April.
    14. Vassilis Monastiriotis & Angelo Martelli, 2021. "Crisis, Adjustment and Resilience in the Greek Labor Market: An Unemployment Decomposition Approach," International Regional Science Review, , vol. 44(1), pages 85-112, January.
    15. Brandon Vick, 2017. "Measuring links between labor monopsony and the gender pay gap in Brazil," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-28, December.
    16. Philippe Adair & Oksana Nezhyvenko, 2020. "Wage Differentials in EU Transition Economies (2009-2016): How Large a Penalty for Females and Informal Employees?," Proceedings of Economics and Finance Conferences 10913129, International Institute of Social and Economic Sciences.
    17. Powers, Daniel A. & Yun, Myeong-Su, 2009. "Multivariate Decomposition for Hazard Rate Models," IZA Discussion Papers 3971, Institute of Labor Economics (IZA).
    18. Oscar Molina Tejerina & Luis Castro Peñarrieta, 2020. "Unexplained Wage Gaps in the Tradable and Nontradable Sectors: Cross-Sectional Evidence by Gender in Bolivia," Investigación & Desarrollo, Universidad Privada Boliviana, vol. 20(1), pages 5-23.
    19. Amelie F. Constant & Annabelle Krause & Ulf Rinne & Klaus F. Zimmermann, 2017. "Reservation wages of first- and second-generation migrants," Applied Economics Letters, Taylor & Francis Journals, vol. 24(13), pages 945-949, July.
    20. Bryan, Mark & Bryce, Andrew & Rice, Nigel & Roberts, Jennifer & Sechel, Cristina, 2022. "Exploring mental health disability gaps in the labour market: the UK experience during COVID-19," Labour Economics, Elsevier, vol. 78(C).

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fpr:ifprid:1670. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/ifprius.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.