IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/11804.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    Note: AP
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w11804.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ann Harrison, 2007. "Globalization and Poverty," NBER Books, National Bureau of Economic Research, Inc, number harr06-1, July.
    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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Brambilla, Irene & Porto, Guido, 2005. "Farm Productivity and Market Structure: Evidence from Cotton Reforms in Zambia," Working Papers 5, Yale University, Department of Economics.
    2. Kaminski, Jonathan, 2008. "Changing Incentives to Sow Cotton for African Farmers: Evidence from the Burkina Faso Reform," Discussion Papers 45779, Hebrew University of Jerusalem, Department of Agricultural Economics and Management.
    3. KAMINSKI Jonathan & THOMAS Alban, 2009. "Commodity Reform and Extensive Production Growth: Evidence from Burkinabè cotton farmers," LERNA Working Papers 09.01.277, LERNA, University of Toulouse.
    4. Kaminski, Jonathan & Thomas, Alban, 2009. "Commodity Reform and Extensive Production Growth: Evidence from Burkinabè Cotton Farmers," TSE Working Papers 09-008, Toulouse School of Economics (TSE).
    5. Magnan, Nicholas & Spielman, David J. & Lybbert, Travis J. & Gulati, Kajal, 2015. "Leveling with friends: Social networks and Indian farmers' demand for a technology with heterogeneous benefits," Journal of Development Economics, Elsevier, vol. 116(C), pages 223-251.
    6. Balat, Jorge F. & Porto, Guido G., 2005. "The WTO Doha Round, cotton sector dynamics, and poverty trends in Zambia," Policy Research Working Paper Series 3697, The World Bank.
    7. Aragón, Fernando M. & Restuccia, Diego & Rud, Juan Pablo, 2022. "Are small farms really more productive than large farms?," Food Policy, Elsevier, vol. 106(C).
    8. Heltberg, Rasmus, 1998. "Rural market imperfections and the farm size-- productivity relationship: Evidence from Pakistan," World Development, Elsevier, vol. 26(10), pages 1807-1826, October.
    9. Omotilewa, Oluwatoba J. & Jayne, T.S. & Muyanga, Milu & Aromolaran, Adebayo B. & Liverpool-Tasie, Lenis Saweda O. & Awokuse, Titus, 2021. "A revisit of farm size and productivity: Empirical evidence from a wide range of farm sizes in Nigeria," World Development, Elsevier, vol. 146(C).
    10. Kimhi, Ayal, 2003. "Plot Size And Maize Productivity In Zambia: The Inverse Relationship Re-Examined," Discussion Papers 14980, Hebrew University of Jerusalem, Department of Agricultural Economics and Management.
    11. C. S. C. Sekhar & Namrata Thapa, 2023. "Rural market imperfections in India: Revisiting old debates with new evidence," Development Policy Review, Overseas Development Institute, vol. 41(5), September.
    12. Goodspeed, Tyler, 2013. "Famine, Finance, and Adjustment to Environmental Shock: Microcredit and the Great Famine in Ireland," MPRA Paper 50324, University Library of Munich, Germany.
    13. Assunção, Juliano Junqueira & Moreira, Humberto Ataíde, 2004. "Land taxes in a Latin American context," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 526, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    14. Huanxiu Guo & Sébastien Marchand, 2013. "Is participatory social learning a performance driver for Chinese smallholder farmers?," Working Papers halshs-00878886, HAL.
    15. Wang, Honglin & Yu, Fan & Reardon, Thomas & Huang, Jikun & Rozelle, Scott, 2013. "Social learning and parameter uncertainty in irreversible investments: Evidence from greenhouse adoption in northern China," China Economic Review, Elsevier, vol. 27(C), pages 104-120.
    16. Chen, H., 2018. "Can Crop Insurance Market Benefit Land Rental Market by Mitigating the Inverse-Relationship Concern," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277003, International Association of Agricultural Economists.
    17. Cadot, Olivier & Dutoit, Laure & Olarreaga, Marcelo, 2010. "Barriers to Exit from Subsistence Agriculture," CEPREMAP Working Papers (Docweb) 1014, CEPREMAP.
    18. Juliano Junqueira Assunção & Luiz Henrique Braido, 2005. "Testing competing explanations for the inverse productivity puzzle," Textos para discussão 500, Department of Economics PUC-Rio (Brazil).
    19. Jim Engle-Warnick & Javier Escobal & Sonia Laszlo, 2007. "Ambiguity Aversion as a Predictor of Technology Choice: Experimental Evidence from Peru," CIRANO Working Papers 2007s-01, CIRANO.
    20. Kondylis, Florence & Mueller, Valerie, 2012. "Seeing is Believing? Evidence from a Demonstration Plot Experiment in Mozambique:," MSSP working papers 1, International Food Policy Research Institute (IFPRI).

    More about this item

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:11804. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.