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Estimating the supply response of cotton and cereal crops in smallholder production systems: recent evidence from Mali

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  • Jeffrey D. Vitale
  • Hamady Djourra
  • Aminata Sidibé

Abstract

Cotton is one of the most important crops in West Africa and is a major catalyst of economic development in rural areas, but the sector has suffered from a decline in the world cotton price after 1999. This article exploits an unusual data set following 82 farmers over 14 years, from 1994 through 2007, to estimate a Nerlovian supply response model for cotton, maize, sorghum, and millet in long‐term rotation. The resulting system of equations is estimated with two‐stage least squares (2SLS), showing that this sample of Malian cotton producers have responded to prices in a relatively inelastic manner, with supply elasticities only about one‐half of those estimated for producers in developed countries. Policy reforms could help producers respond more easily to prices changes, as well as to raise average productivity levels.

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  • Jeffrey D. Vitale & Hamady Djourra & Aminata Sidibé, 2009. "Estimating the supply response of cotton and cereal crops in smallholder production systems: recent evidence from Mali," Agricultural Economics, International Association of Agricultural Economists, vol. 40(5), pages 519-533, September.
    • Handle: RePEc:bla:agecon:v:40:y:2009:i:5:p:519-533
    DOI: 10.1111/j.1574-0862.2009.00395.x
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    3. Didier Yélognissè Alia & Anne Floquet & Epiphane Adjovi, 2017. "Heterogeneous Welfare Effect of Cotton Pricing on Households in Benin," African Development Review, African Development Bank, vol. 29(2), pages 107-121, June.
    4. Magrini, Emiliano & Morales-Opazo, Cristian & Balie, Jean, 2014. "Supply response along the value chain in selected SSA countries: the case of grains," 2014: Food, Resources and Conflict, December 7-9, 2014. San Diego, California 197193, International Agricultural Trade Research Consortium.
    5. Jeffrey Vitale & Marc Ouattarra & Gaspard Vognan, 2011. "Enhancing Sustainability of Cotton Production Systems in West Africa: A Summary of Empirical Evidence from Burkina Faso," Sustainability, MDPI, vol. 3(8), pages 1-34, July.
    6. Mekbib G. Haile & Tesfamicheal Wossen & Kindie Tesfaye & Joachim von Braun, 2017. "Impact of Climate Change, Weather Extremes, and Price Risk on Global Food Supply," Economics of Disasters and Climate Change, Springer, vol. 1(1), pages 55-75, June.
    7. Donato, Romano & Carraro, Alessandro, 2015. "Modelling Acreage, Production and Yield Supply Response to Domestic Price Volatility," 2015 Fourth Congress, June 11-12, 2015, Ancona, Italy 207278, Italian Association of Agricultural and Applied Economics (AIEAA).
    8. Jiarong Qian & Shoichi Ito & Zhijun Zhao, 2020. "The effect of price support policies on food security and farmers’ income in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(4), pages 1328-1349, October.
    9. Ollenburger, Mary H. & Descheemaeker, Katrien & Crane, Todd A. & Sanogo, Ousmane M. & Giller, Ken E., 2016. "Waking the Sleeping Giant: Agricultural intensification, extensification or stagnation in Mali's Guinea Savannah," Agricultural Systems, Elsevier, vol. 148(C), pages 58-70.
    10. Emmanuel Tumusiime & B. Wade Brorsen & Jeffrey D. Vitale, 2014. "Vertical integration in West Africa's cotton industry: are parastatals a second best solution?," Agricultural Economics, International Association of Agricultural Economists, vol. 45(S1), pages 129-143, November.
    11. Traoré, Fousseini, 2013. "Estimating the supply elasticity of cotton in Mali with the Nerlove Model: A bayesian method of moments approach," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 94(3).
    12. Femenia, F. & Carpentier, A. & Gohin, A. & Sodjadhin, R., 2018. "Using farm accountancy data to estimate crop rotation effects," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277161, International Association of Agricultural Economists.
    13. Kergna, Alpha & Smale, Melinda & Assima, Amidou & Diallo, Abdoulaye & Weltzien, Eva & Rattunde, Fred, 2017. "The potential economic impact of Guinea-race sorghum hybrids in Mali: A comparison of research and development paradigms," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 12(1), March.
    14. Amouzou, Kokou Adambounou & Naab, Jesse B. & Lamers, John P.A. & Borgemeister, Christian & Becker, Mathias & Vlek, Paul L.G., 2018. "CROPGRO-Cotton model for determining climate change impacts on yield, water- and N- use efficiencies of cotton in the Dry Savanna of West Africa," Agricultural Systems, Elsevier, vol. 165(C), pages 85-96.
    15. Yu, Bingxin & Liu, Fengwei & You, Liangzhi, 2010. "Dynamic agricultural supply response under economic transformation," IFPRI discussion papers 987, International Food Policy Research Institute (IFPRI).
    16. Sukcharoen, Kunlapath & Golden, Bill & Vestal, Mallory & Guerrero, Bridget, 2020. "Do crop price expectations matter? An analysis of groundwater pumping decisions in Western Kansas," Agricultural Water Management, Elsevier, vol. 231(C).

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