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Market Structure, Outgrower contracs and Farm Output. Evidence from Cotton Reforms in Zambia

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  • Irene Brambilla
  • Guido Porto

Abstract

This paper investigates the dynamic impacts of cotton marketing reforms on farm output in rural Zambia. Following liberalization and the elimination of the Zambian cotton marketing board, the sector developed an outgrower scheme whereby cotton firms provided credit, access to inputs and output markets, and technical assistance to the farmers. There are two distinctive phases of the reforms: a failure of the outgrower contracts, due to farmers' debt renegation, firm hold up, and lack of coordination among firms and farms, and a subsequent period of success of the scheme, due to enhanced contract enforcement and commitment. We find interesting dynamics in the sector. During the phase of failure, farmers were pushed back into subsistence and cotton yields per hectare declined. With the improvement of the outgrower scheme, farmers devoted larger shares of land to cash crops, and farm output significantly increased.

Suggested Citation

  • Irene Brambilla & Guido Porto, 2005. "Market Structure, Outgrower contracs and Farm Output. Evidence from Cotton Reforms in Zambia," NBER Working Papers 11804, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:11804
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    1. Ann Harrison, 2007. "Globalization and Poverty," NBER Books, National Bureau of Economic Research, Inc, number harr06-1.
    2. Nina Pavcnik, 2002. "Trade Liberalization, Exit, and Productivity Improvements: Evidence from Chilean Plants," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(1), pages 245-276.
    3. Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
    4. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    5. Jorge F. Balat & Guido G. Porto, 2007. "Globalization and Complementary Policies: Poverty Impacts on Rural Zambia," NBER Chapters, in: Globalization and Poverty, pages 373-416, National Bureau of Economic Research, Inc.
    6. repec:pri:rpdevs:besley_case_diffusion.pdf is not listed on IDEAS
    7. Feder, Gershon, 1980. "Farm Size, Risk Aversion and the Adoption of New Technology under Uncertainty," Oxford Economic Papers, Oxford University Press, vol. 32(2), pages 263-283, July.
    8. Edmonds, Eric V. & Pavcnik, Nina, 2005. "The effect of trade liberalization on child labor," Journal of International Economics, Elsevier, vol. 65(2), pages 401-419, March.
    9. Timothy Besley & Anne Case, 1994. "Diffusion as a Learning Process: Evidence from HYV Cotton," Working Papers 228, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
    10. Timothy G. Conley & Christopher R. Udry, 2010. "Learning about a New Technology: Pineapple in Ghana," American Economic Review, American Economic Association, vol. 100(1), pages 35-69, March.
    11. Rosenzweig, Mark R & Binswanger, Hans P, 1993. "Wealth, Weather Risk and the Composition and Profitability of Agricultural Investments," Economic Journal, Royal Economic Society, vol. 103(416), pages 56-78, January.
    12. Altonji, Joseph G, 1986. "Intertemporal Substitution in Labor Supply: Evidence from Micro Data," Journal of Political Economy, University of Chicago Press, vol. 94(3), pages 176-215, June.
    13. Pagan,Adrian & Ullah,Aman, 1999. "Nonparametric Econometrics," Cambridge Books, Cambridge University Press, number 9780521355643, September.
    14. Dercon, Stefan, 1996. "Risk, Crop Choice, and Savings: Evidence from Tanzania," Economic Development and Cultural Change, University of Chicago Press, vol. 44(3), pages 485-513, April.
    15. Eswaran, Mukesh & Kotwal, Ashok, 1986. "Access to Capital and Agrarian Production Organisation," Economic Journal, Royal Economic Society, vol. 96(382), pages 482-498, June.
    16. Benjamin, Dwayne, 1995. "Can unobserved land quality explain the inverse productivity relationship?," Journal of Development Economics, Elsevier, vol. 46(1), pages 51-84, February.
    17. 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.
    18. repec:pri:rpdevs:besley_case_diffusion is not listed on IDEAS
    19. Jayne, T S, 1994. "Do High Food Marketing Costs Constrain Cash Crop Production? Evidence from Zimbabwe," Economic Development and Cultural Change, University of Chicago Press, vol. 42(2), pages 387-402, January.
    20. Shahabuddin, Quazi & Mestelman, Stuart & Feeny, David, 1986. "Peasant Behaviour towards Risk and Socio-Economic and Structural Characteristics of Farm Households in Bangladesh," Oxford Economic Papers, Oxford University Press, vol. 38(1), pages 122-130, March.
    21. Feder, Gershon, 1985. "The relation between farm size and farm productivity : The role of family labor, supervision and credit constraints," Journal of Development Economics, Elsevier, vol. 18(2-3), pages 297-313, August.
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    JEL classification:

    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

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