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Rainfall variability and cash crops postharvest losses: Evidence from groundnuts in Burkina Faso

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  • Tankari, Mahamadou Roufahi

Abstract

This study explores the impact of both short-term and long-term rainfall variability on groundnuts postharvest loss in Burkina Faso. To deal with the sample selection issue and the nature of the data collected within the Enquete Multisectorielle Continue du Burkina Faso (EMC-BF) 2014, an interval regression with selection was carried out. It is found that both short-term and long-term changes in rainfall are important determinant of groundnuts postharvest loss. However, the magnitude of the postharvest loss seems to be independent of rainfall variability. The study also revealed that, the size, the topography and the soil of the plot, the household size, and the time to food market are significantly associated to postharvest loss occurrence. Furthermore, the size and the tenure system of the plot, the type, and the quantity of labor for harvesting and the production assets influence the groundnuts postharvest loss magnitude.

Suggested Citation

  • Tankari, Mahamadou Roufahi, 2023. "Rainfall variability and cash crops postharvest losses: Evidence from groundnuts in Burkina Faso," 2023 Seventh AAAE/60th AEASA Conference, September 18-21, 2023, Durban, South Africa 365936, African Association of Agricultural Economists (AAAE).
    • Handle: RePEc:ags:aaae23:365936
    DOI: 10.22004/ag.econ.365936
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    1. White,Halbert, 1996. "Estimation, Inference and Specification Analysis," Cambridge Books, Cambridge University Press, number 9780521574464, January.
    2. Aulakh, Jaspreet & Regmi, Anita & Fulton, Joan R. & Alexander, Corinne E., 2013. "Estimating Post-Harvest Food Losses: Developing a Consistent Global Estimation Framework," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150363, Agricultural and Applied Economics Association.
    3. Mariano Rabassa & Emmanuel Skoufias & Hanan Jacoby, 2014. "Weather and Child Health in Rural Nigeria," Journal of African Economies, Centre for the Study of African Economies, vol. 23(4), pages 464-492.
    4. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    5. Mendelsohn, Robert & Nordhaus, William D & Shaw, Daigee, 1994. "The Impact of Global Warming on Agriculture: A Ricardian Analysis," American Economic Review, American Economic Association, vol. 84(4), pages 753-771, September.
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