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Determinants and income effect of yam postharvest loss management: evidence from the Zabzugu District of Northern Ghana

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  • Isaac Gershon Kodwo Ansah

    (University for Development Studies)

  • Bright K. D. Tetteh

    (University for Development Studies)

  • Samuel A. Donkoh

    (University for Development Studies)

Abstract

Globally, postharvest loss reduction has been emphasized as an effective option for improving food security and environmental sustainability. Yam production in the Zabzugu district of Northern Ghana suffers from high postharvest losses, with varying degrees of economic, social and environmental implications. Improving the welfare of farmers through postharvest loss reduction requires farmers’ effective management of the losses. The purpose of this study is to examine how effectively farmers manage postharvest losses and the rewards derived from such efforts. Using a cross-section of 201 randomly selected yam farmers from major production communities in the Zabzugu district of Northern Ghana, we applied a simultaneous equation modelling approach to examine the contemporaneous correlation between postharvest loss management and income. Results provided evidence that good postharvest loss management improves welfare of yam farmers through increased income earnings and vice versa, especially for those who produce for commercial purposes. On the other hand, subsistence farmers were better at managing postharvest losses, though with lower monetary rewards. The policy implications are that interventions should target farmer education and training to improve the skills of farmers in managing postharvest losses.

Suggested Citation

  • Isaac Gershon Kodwo Ansah & Bright K. D. Tetteh & Samuel A. Donkoh, 2017. "Determinants and income effect of yam postharvest loss management: evidence from the Zabzugu District of Northern Ghana," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(3), pages 611-620, June.
    • Handle: RePEc:spr:ssefpa:v:9:y:2017:i:3:d:10.1007_s12571-017-0675-1
    DOI: 10.1007/s12571-017-0675-1
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    References listed on IDEAS

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    1. World Bank, 2011. "Missing Food : The Case of Postharvest Grain Losses in Sub-Saharan Africa," World Bank Publications - Reports 2824, The World Bank Group.
    2. Hoque, Mohammad Mainul & Artz, Georgeanne M. & Jarboe, Darren H. & Martens, Bobby J., 2015. "Producer Participation In Biomass Markets: Farm Factors, Market Factors, And Correlated Choices," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 47(3), pages 317-344, August.
    3. Dhar, Tirtha Pratim & Chavas, Jean-Paul & Gould, Brian W., 2002. "An Empirical Assessment of Endogeneity Issues In Demand Analysis for Differentiated Products," Research Reports 25227, University of Connecticut, Food Marketing Policy Center.
    4. Brian W. Gould, 2003. "An Empirical Assessment of Endogeneity Issues in Demand Analysis for Differentiated Products," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(3), pages 605-617.
    5. Hounkonnou, Dominique & Kossou, Dansou & Kuyper, Thomas W. & Leeuwis, Cees & Nederlof, E. Suzanne & Röling, Niels & Sakyi-Dawson, Owuraku & Traoré, Mamoudou & van Huis, Arnold, 2012. "An innovation systems approach to institutional change: Smallholder development in West Africa," Agricultural Systems, Elsevier, vol. 108(C), pages 74-83.
    6. Phoebe Koundouri & Céline Nauges & Vangelis Tzouvelekas, 2006. "Technology Adoption under Production Uncertainty: Theory and Application to Irrigation Technology," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(3), pages 657-670.
    7. Jacoby, Hanan C, 2000. "Access to Markets and the Benefits of Rural Roads," Economic Journal, Royal Economic Society, vol. 110(465), pages 713-737, July.
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    Cited by:

    1. Rasaq O Lamidi & Long Jiang & Yaodong Wang & Pankaj B Pathare & Marcelo Calispa Aguilar & Ruiqi Wang & Nuri Mohamed Eshoul & Anthony Paul Roskilly, 2019. "Techno-Economic Analysis of a Cogeneration System for Post-Harvest Loss Reduction: A Case Study in Sub-Saharan Rural Community," Energies, MDPI, vol. 12(5), pages 1-19, March.
    2. Luciana Delgado & Monica Schuster & Maximo Torero, 2021. "On the origins of food loss," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(2), pages 750-780, June.
    3. Zakaria, Abraham & Azumah, Shaibu Baanni & Appiah-Twumasi, Mark & Dagunga, Gilbert, 2020. "Adoption of climate-smart agricultural practices among farm households in Ghana: The role of farmer participation in training programmes," Technology in Society, Elsevier, vol. 63(C).

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