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Factors associated with harvest and postharvest loss among soybean farmers in Western Paraná State, Brazil

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  • Arends-Kuenning, Mary
  • Garcias, Marcos
  • Kamei, Akito
  • Shikida, Pery Francisco Assis
  • Romani, Gisele Esser

Abstract

The United Nations included reducing harvest and postharvest losses as a Sustainable Millennium Development Goal in 2015, leading to increased research and policymaker interest in reducing losses to insure food security. This article analyzes the factors associated with self-reported harvest loss among soybean farmers in Paraná, Brazil, using a survey of 243 farmers. The principal–agent problem is the most important contributor to harvest and postharvest losses on the farm. Loss is lowered when the combines are operated at slower speeds and are adjusted properly, but combine operators have incentives to complete harvesting jobs and deliver soybean to storage facilities quickly. Farmers report training of the combine operators as one of the most important causes of postharvest loss. Empirical results show that farmers report a 1.5 percentage points higher harvest loss when they ask a third party to harvest. Similarly, the farmers’ education level is negatively associated with harvest loss; farmers with college completion have 1.6 percentage points less loss compared to farmers with less than fourth grade. However, larger planted areas are associated with higher harvest loss. The paper suggests that who harvests the crop is critical in reducing harvest loss. Policies and contract designs that align incentives between farmers and combine operators might reduce harvest and postharvest loss.

Suggested Citation

  • Arends-Kuenning, Mary & Garcias, Marcos & Kamei, Akito & Shikida, Pery Francisco Assis & Romani, Gisele Esser, 2022. "Factors associated with harvest and postharvest loss among soybean farmers in Western Paraná State, Brazil," Food Policy, Elsevier, vol. 112(C).
  • Handle: RePEc:eee:jfpoli:v:112:y:2022:i:c:s0306919222001324
    DOI: 10.1016/j.foodpol.2022.102363
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    References listed on IDEAS

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    1. Christiaensen,Luc & Kaminski,Jonathan & Christiaensen,Luc & Kaminski,Jonathan, 2014. "Post-harvest loss in Sub-Saharan Africa -- what do farmers say ?," Policy Research Working Paper Series 6831, The World Bank.
    2. José Vicente Caixeta-Filho & Thiago Guilherme Péra, 2018. "Post-harvest losses during the transportation of grains from farms to aggregation points," International Journal of Logistics Economics and Globalisation, Inderscience Enterprises Ltd, vol. 7(3), pages 209-247.
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    4. Lee, Tani & Tran, Anh & Hansen, James & Ash, Mark, 2016. "Major Factors Affecting Global Soybean and Products Trade Projections," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, issue 04, pages 1-1, May.
    5. Fabi, Carola & Cachia, Franck & Conforti, Piero & English, Alicia & Rosero Moncayo, José, 2021. "Improving data on food losses and waste: From theory to practice," Food Policy, Elsevier, vol. 98(C).
    6. Martins, Anamaria Gaudencia & Goldsmith, Peter & Moura, Altair, 2014. "Managerial factors affecting post-harvest loss: the case of Mato Grosso Brazil," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 3(4), pages 1-10.
    7. Delgado, Luciana & Schuster, Monica & Torero, Maximo, 2021. "Quantity and quality food losses across the value Chain: A Comparative analysis," Food Policy, Elsevier, vol. 98(C).
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    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Kunyang Zhang & Yi Luo & Yan Han, 2023. "The Long-Term Impact of Famine Experience on Harvest Losses," Agriculture, MDPI, vol. 13(6), pages 1-18, May.
    2. Junshan Nie & Huizhong Luo & Yang Zhou & Qiqiang Li & Qingyu Qiu & Lihua Zhang, 2023. "Design and Test of a Low-Loss Soybean Header Based on Synchronous Profiling," Agriculture, MDPI, vol. 13(8), pages 1-14, August.

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    More about this item

    Keywords

    Postharvest loss; Harvest loss; Food security; Smallholder farming; Latin America; Brazil;
    All these keywords.

    JEL classification:

    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • J43 - Labor and Demographic Economics - - Particular Labor Markets - - - Agricultural Labor Markets

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