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Agriculture-nutrition linkages, cooking-time, intrahousehold equality among women and children: Evidence from Tajikistan:

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  • Takeshima, Hiroyuki
  • Akramov, Kamiljon T.
  • Park, Allen
  • Ilyasov, Jarilkasin
  • Ergasheva, Tanzila

Abstract

Household-level agriculture-nutrition linkage (ANL) tends to be strong in a rural subsistence setting with limited access to the food market. In such a context, markets for food processing services also may be imperfect, and consequently a household’s time-investments in cooking may become important. Using the primary data in Tajikistan, we show that longer periods of time dedicated to cooking by women in the household often significantly enhance household-level ANL. Furthermore, an increase in the diversity, scale, and efficiency of household production, as well as longer cooking time, can also reduce intrahousehold inequality in nutritional outcomes among women and children. These effects are stronger in areas with lower nighttime light intensity and for households with lower values of cooking assets. In a context where household-level ANL is strong, ANL may also depend on households’ self-production of complementary inputs, including cooking services. This dependence reveals both unique opportunities for and vulnerabilities of ANL for the rural poor.

Suggested Citation

  • Takeshima, Hiroyuki & Akramov, Kamiljon T. & Park, Allen & Ilyasov, Jarilkasin & Ergasheva, Tanzila, 2019. "Agriculture-nutrition linkages, cooking-time, intrahousehold equality among women and children: Evidence from Tajikistan:," IFPRI discussion papers 1882, International Food Policy Research Institute (IFPRI).
    • Handle: RePEc:fpr:ifprid:1882
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    1. Mulubrhan Amare & Channing Arndt & Kibrom A Abay & Todd Benson, 2020. "Urbanization and Child Nutritional Outcomes," The World Bank Economic Review, World Bank, vol. 34(1), pages 63-74.
    2. Kalle Hirvonen & John Hoddinott, 2017. "Agricultural production and children's diets: evidence from rural Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 48(4), pages 469-480, July.
    3. Martin Huber, 2014. "Identifying Causal Mechanisms (Primarily) Based On Inverse Probability Weighting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(6), pages 920-943, September.
    4. Carlos A. Flores & Oscar A. Mitnik, 2013. "Comparing Treatments across Labor Markets: An Assessment of Nonexperimental Multiple-Treatment Strategies," The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1691-1707, December.
    5. Kluve, Jochen & Schneider, Hilmar & Uhlendorff, Arne & Zhao, Zhong, 2007. "Evaluating Continuous Training Programs Using the Generalized Propensity Score," IZA Discussion Papers 3255, Institute of Labor Economics (IZA).
    6. Fan, Shenggen & Yosef, Sivan & Pandya-Lorch, Rajul, 2019. "Agriculture for improved nutrition: Seizing the momentum," IFPRI books, International Food Policy Research Institute (IFPRI), number 9781786399311.
    7. Finaret, A.B. & Miller, L.C. & Joshi, N. & Mahato, S. & Lohani, M. & Drozdowsky, J. & Rogers, B.L., 2018. "Longitudinal analysis of the intrahousehold distribution of foods in rural Nepal: Relative variability of child dietary quality across age and sex cohorts," Food Policy, Elsevier, vol. 79(C), pages 101-110.
    8. Pitt, Mark M & Rosenzweig, Mark R & Hassan, Md Nazmul, 1990. "Productivity, Health, and Inequality in the Intrahousehold Distribution of Food in Low-Income Countries," American Economic Review, American Economic Association, vol. 80(5), pages 1139-1156, December.
    9. Michela Bia & Alessandra Mattei, 2008. "A Stata package for the estimation of the dose–response function through adjustment for the generalized propensity score," Stata Journal, StataCorp LP, vol. 8(3), pages 354-373, September.
    10. repec:mpr:mprres:7406 is not listed on IDEAS
    11. Takeshima, Hiroyuki & Akramov, Kamiljon T. & Park, Allen & Ilyasov, Jarilkasin & Liu, Yanyan & Ergasheva, Tanzila, 2018. "Agriculture–nutrition linkages in Tajikistan: Evidence from household survey data," IFPRI discussion papers 1770, International Food Policy Research Institute (IFPRI).
    12. Takeshima, Hiroyuki & Adhikari, Rajendra Prasad & Shivakoti, Sabnam & Kaphle, Basu Dev & Kumar, Anjani, 2017. "Heterogeneous returns to chemical fertilizer at the intensive margins: Insights from Nepal," Food Policy, Elsevier, vol. 69(C), pages 97-109.
    13. Anna D’Souza & Sharad Tandon, 2019. "Intrahousehold Nutritional Inequities in Rural Bangladesh," Economic Development and Cultural Change, University of Chicago Press, vol. 67(3), pages 625-657.
    14. J. Vernon Henderson & Adam Storeygard & David N. Weil, 2012. "Measuring Economic Growth from Outer Space," American Economic Review, American Economic Association, vol. 102(2), pages 994-1028, April.
    15. Gerald Shively & Celeste Sununtnasuk, 2015. "Agricultural Diversity and Child Stunting in Nepal," Journal of Development Studies, Taylor & Francis Journals, vol. 51(8), pages 1078-1096, August.
    16. Paolisso, Michael J & Hallman, Kelly & Haddad, Lawrence & Regmi, Shibesh, 2002. "Does Cash Crop Adoption Detract from Child Care Provision? Evidence from Rural Nepal," Economic Development and Cultural Change, University of Chicago Press, vol. 50(2), pages 313-337, January.
    17. Valeria Esquivel & Debbie Budlender & Nancy Folbre & Indira Hirway, 2008. "Explorations: Time-use surveys in the south," Feminist Economics, Taylor & Francis Journals, vol. 14(3), pages 107-152.
    18. 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.
    19. Jochen Kluve & Hilmar Schneider & Arne Uhlendorff & Zhong Zhao, 2012. "Evaluating continuous training programmes by using the generalized propensity score," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(2), pages 587-617, April.
    20. Johnston, Deborah & Stevano, Sara & Malapit, Hazel J. & Hull, Elizabeth & Kadiyala, Suneetha, 2018. "Review: Time Use as an Explanation for the Agri-Nutrition Disconnect: Evidence from Rural Areas in Low and Middle-Income Countries," Food Policy, Elsevier, vol. 76(C), pages 8-18.
    21. Nitya Rao & S. Raju, 2020. "Gendered Time, Seasonality, and Nutrition: Insights from Two Indian Districts," Feminist Economics, Taylor & Francis Journals, vol. 26(2), pages 95-125, April.
    22. Jochen Kluve & Hilmar Schneider & Arne Uhlendorff & Zhong Zhao, 2012. "Evaluating continuous training programmes by using the generalized propensity score," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(2), pages 587-617, April.
    23. Seema Jayachandran & Rohini Pande, 2017. "Why Are Indian Children So Short? The Role of Birth Order and Son Preference," American Economic Review, American Economic Association, vol. 107(9), pages 2600-2629, September.
    24. Fan, Shenggen & Yosef, Sivan & Pandya-Lorch, Rajul, 2019. "Agriculture for improved nutrition: Seizing the momentum: Synopsis," IFPRI synopses 978-0-89629-599-5, International Food Policy Research Institute (IFPRI).
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