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Price Incentives, Non‐price Factors and Agricultural Production in Sub‐Saharan Africa: A Cointegration Analysis

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  • Rainer Thiele

Abstract

This paper deals with the question of how responsive farmers in Sub-Saharan Africa (SSA) are to changes in incentives. Employing Johansen's multivariate cointegration approach and covering the period 1965-99, it investigates for ten selected SSA countries the long-run effect of pricing policies,macroeconomic distortions, and certain non-price factors on agricultural production. I turns out that - in those cases where cointegration relationships are found - estimated supply elasticities tend to lie between 0.20 and 0.50. Among the non-price factors, drought episodes have significantly impaired agricultural growth in six out of ten sample countries. Technical progress as measured by a simple deterministic trend has only had a minor impact on output.
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Suggested Citation

  • Rainer Thiele, 2003. "Price Incentives, Non‐price Factors and Agricultural Production in Sub‐Saharan Africa: A Cointegration Analysis," African Development Review, African Development Bank, vol. 15(2‐3), pages 425-438.
  • Handle: RePEc:adb:adbadr:860
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    References listed on IDEAS

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    1. Mamingi, Nlandu, 1997. "The impact of prices and macroeconomic policies on agricultural supply: a synthesis of available results," Agricultural Economics, Blackwell, vol. 16(1), pages 17-34, March.
    2. Marc Nerlove, 1979. "The Dynamics of Supply: Retrospect and Prospect," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(5), pages 874-888.
    3. Kremers, Jeroen J M & Ericsson, Neil R & Dolado, Juan J, 1992. "The Power of Cointegration Tests," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 325-348, August.
    4. R. L. Voortman & B. G. J. S. Sonneveld & M. A. Keyzer, 2000. "African Land Ecology: Opportunities and Constraints for Agricultural Development," CID Working Papers 37, Center for International Development at Harvard University.
    5. Anders Danielson, 2002. "Agricultural Supply Response in Tanzania: Has Adjustment Really Worked?," African Development Review, African Development Bank, vol. 14(1), pages 98-112.
    6. Schiff, Maurice & Montenegro, Claudio E, 1997. "Aggregate Agricultural Supply Response in Developing Countries: A Survey of Selected Issues," Economic Development and Cultural Change, University of Chicago Press, vol. 45(2), pages 393-410, January.
    7. Coeymans, Juan Eduardo & Mundlak, Yair, 1993. "Sectoral growth in Chile: 1962-82," Research reports 95, International Food Policy Research Institute (IFPRI).
    8. Thiele, Rainer, 2002. "The bias against agriculture in Sub-Saharan Africa: Has it survived 20 years of structural adjustment programs?," Kiel Working Papers 1102, Kiel Institute for the World Economy (IfW).
    9. Andrew McKay & Oliver Morrissey & Charlotte Vaillant, 1999. "Aggregate supply response in Tanzanian agriculture," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 8(1), pages 107-123.
    10. David E. Rapach, 2002. "Are Real GDP Levels Nonstationary? Evidence from Panel Data Tests," Southern Economic Journal, Southern Economic Association, vol. 68(3), pages 473-495, January.
    11. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
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    Cited by:

    1. Magrini, Emiliano & Morales-Opazo, Cristian & Balie, Jean, 2014. "Supply response along the value chain in selected SSA countries: the case of grains," Proceedings Issues, 2014: Food, Resources and Conflict, December 7-9, 2014, San Diego, California 197193, International Agricultural Trade Research Consortium.
    2. Francesco Caracciolo & Fabio Santeramo, 2013. "Price Trends and Income Inequalities: Will Sub-Saharan Africa Reduce the Gap?," African Development Review, African Development Bank, vol. 25(1), pages 42-54.
    3. Johnson, Michael E. & Takeshima, Hiroyuki & Gyimah-Brempong, Kwabena, 2013. "Assessing the potential and policy alternatives for achieving rice competitiveness and growth in Nigeria:," IFPRI discussion papers 1301, International Food Policy Research Institute (IFPRI).
    4. repec:bla:afrdev:v:29:y:2017:i:2:p:107-121 is not listed on IDEAS
    5. Olubode-Awosola, O.O. & Oyewumi, Olubukola Ayodeju & Jooste, Andre, 2006. "Vector error correction modelling of Nigerian agricultural supply response," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 45(4), December.

    More about this item

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices

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