IDEAS home Printed from https://ideas.repec.org/a/taf/jdevst/v51y2015i8p976-995.html
   My bibliography  Save this article

Agricultural Production, Dietary Diversity and Climate Variability

Author

Listed:
  • Andrew Dillon
  • Kevin McGee
  • Gbemisola Oseni

Abstract

Nonseparable household modelsoutline the interlinkage between agricultural production and household consumption, yet empirical extensions to investigate the effect of production on dietary diversity and diet composition are limited. While a significant literature has investigated the calorie-income elasticity abstracting from production, this paper provides an empirical application of the nonseparable household model linking the effect of exogenous variation in planting season production decisions via climate variability on household dietary diversity. Using degree days, rainfall and agricultural capital stocks as instruments, the effect of production on household dietary diversity at harvest is estimated. The empirical specifications estimate production effects on dietary diversity using both agricultural revenue and crop production diversity. Significant effects of both agricultural revenue and crop production diversity on dietary diversity are estimated. The dietary diversity-production elasticities imply that a 10 per cent increase in agricultural revenue or crop diversity result in a 1.8 per cent or 2.4 per cent increase in dietary diversity respectively. These results illustrate that agricultural income growth or increased crop diversity may not be sufficient to ensure improved dietary diversity. Increases in agricultural revenue do change diet composition. Estimates of the effect of agricultural income on share of calories by food groups indicate relatively large changes in diet composition. On average, a 10 per cent increase in agricultural revenue makes households 7.2 per cent more likely to consume vegetables, 3.5 per cent more likely to consume fish, and increases the share of tubers consumed by 5.2 per cent.

Suggested Citation

  • Andrew Dillon & Kevin McGee & Gbemisola Oseni, 2015. "Agricultural Production, Dietary Diversity and Climate Variability," Journal of Development Studies, Taylor & Francis Journals, vol. 51(8), pages 976-995, August.
  • Handle: RePEc:taf:jdevst:v:51:y:2015:i:8:p:976-995
    DOI: 10.1080/00220388.2015.1018902
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00220388.2015.1018902
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00220388.2015.1018902?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Strauss, John, 1984. "Joint determination of food consumption and production in rural Sierra Leone : Estimates of a household-firm model," Journal of Development Economics, Elsevier, vol. 14(1), pages 77-103.
    2. 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.
    3. Kira M. Villa & Christopher B. Barrett & David R. Just, 2011. "Whose Fast and Whose Feast? Intrahousehold Asymmetries in Dietary Diversity Response Among East African Pastoralists," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(4), pages 1062-1081.
    4. Muller, Christophe, 2009. "Do agricultural outputs of partly autarkic peasants affect their health and nutrition? Evidence from Rwanda," Food Policy, Elsevier, vol. 34(2), pages 166-175, April.
    5. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    6. Marcel Fafchamps, 1992. "Cash Crop Production, Food Price Volatility, and Rural Market Integration in the Third World," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(1), pages 90-99.
    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. Zezza, Alberto & Tasciotti, Luca, 2010. "Urban agriculture, poverty, and food security: Empirical evidence from a sample of developing countries," Food Policy, Elsevier, vol. 35(4), pages 265-273, August.
    9. 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.
    10. 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.
    Full references (including those not matched with items on IDEAS)

    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. Abu Hayat Md. Saiful Islam & Joachim Braun & Andrew L. Thorne-Lyman & Akhter U. Ahmed, 2018. "Farm diversification and food and nutrition security in Bangladesh: empirical evidence from nationally representative household panel data," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(3), pages 701-720, June.
    2. Pace, Noemi & Sebastian, Ashwini & Daidone, Silvio & Prifti, Ervin & Davis, Benjamin, 2022. "Mediation analysis of the impact of the Zimbabwe Harmonized Social Cash Transfer Programme on food security and nutrition," Food Policy, Elsevier, vol. 106(C).
    3. Tesfaye, Wondimagegn & Tirivayi, Nyasha, 2020. "Crop diversity, household welfare and consumption smoothing under risk: Evidence from rural Uganda," World Development, Elsevier, vol. 125(C).
    4. Thomas, Duncan & Strauss, John, 1997. "Health and wages: Evidence on men and women in urban Brazil," Journal of Econometrics, Elsevier, vol. 77(1), pages 159-185, March.
    5. 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.
    6. Jere R. Behrman & John Hoddinott & John A. Maluccio, & Erica Soler-Hampejsek & Emily L. Behrman & Reynaldo Martorell & Manuel Ramirez-Zea & Aryeh D. Stein, 2006. "What Determines Adult Cognitive Skills? Impacts of Pre-Schooling, Schooling and Post-Schooling Experiences in Guatemala," PIER Working Paper Archive 06-027, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    7. 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.
    8. Del Prete, Davide & Ghins, Léopold & Magrini, Emiliano & Pauw, Karl, 2019. "Land consolidation, specialization and household diets: Evidence from Rwanda," Food Policy, Elsevier, vol. 83(C), pages 139-149.
    9. Subha Mani, 2012. "Is there Complete, Partial, or No Recovery from Childhood Malnutrition? – Empirical Evidence from Indonesia," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(5), pages 691-715, October.
    10. Steven Stillman & Duncan Thomas, 2008. "Nutritional Status During an Economic Crisis: Evidence from Russia," Economic Journal, Royal Economic Society, vol. 118(531), pages 1385-1417, August.
    11. Ruel, Marie T. & Quisumbing, Agnes R. & Balagamwala, Mysbah, 2017. "Nutrition-sensitive agriculture: What have we learned and where do we go from here?:," IFPRI discussion papers 1681, International Food Policy Research Institute (IFPRI).
    12. De Janvry, Alain & Sadoulet, Elisabeth & Murgai, Rinku, 2002. "Rural development and rural policy," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 2, chapter 31, pages 1593-1658, Elsevier.
    13. Keenan, Michael & Karanja, Stanley & Pamuk, Haki & Ruben, Ruerd, 2021. "Smallholder Farming Households' Make-or-Buy Decisions: Linking Market Access, Production Risks, and Production Diversity to Dietary Diversity," 2021 Conference, August 17-31, 2021, Virtual 315349, International Association of Agricultural Economists.
    14. Bozzola, Martina & Smale, Melinda, 2020. "The welfare effects of crop biodiversity as an adaptation to climate shocks in Kenya," World Development, Elsevier, vol. 135(C).
    15. Sauer, Christine M. & Mason, Nicole M. & Maredia, Mywish K. & Mofya-Mukaka, Rhoda, 2016. "Impact Of Legume Technologies On Food Security: Evidence From Zambia," Miscellaneous Publications 251853, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    16. Gunes, Pinar Mine & Ural Marchand, Beyza, 2020. "Macroeconomic conditions and child schooling in Turkey," Labour Economics, Elsevier, vol. 63(C).
    17. Allen, James E., 2018. "Are agricultural markets more developed around cities? Testing for urban heterogeneity in separability in Tanzania," Food Policy, Elsevier, vol. 79(C), pages 199-212.
    18. Coates, Jennifer & Patenaude, Bryan N. & Rogers, Beatrice Lorge & Roba, Alemzewed Challa & Woldetensay, Yitbarek Kidane & Tilahun, Addisalem Fikre & Spielman, Kathryn L., 2018. "Intra-household nutrient inequity in rural Ethiopia," Food Policy, Elsevier, vol. 81(C), pages 82-94.
    19. 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.
    20. Rahman, Andaleeb, 2018. "Does off-farm income affect food security? Evidence from India," 2018 Annual Meeting, August 5-7, Washington, D.C. 273882, Agricultural and Applied Economics Association.

    More about this item

    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:taf:jdevst:v:51:y:2015:i:8:p:976-995. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/FJDS20 .

    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.