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The Agricultural Industry And Economic Growth In South Africa – An Empirical Analysis

Author

Listed:
  • M.Y. TEWELDEMEDHIN

    (Department of Agricultural Economics, University of the Free State, South Africa)

  • H.D. VAN SCHALKWYK

    (Department of Agricultural Economics, University of the Free State, South Africa)

  • Rena RAVINDER

    () (Department of Economics, Polytechnic of Namibia (Namibia’s University of Science and Technology))

Abstract

This study measures the source of short-term agricultural economic growth in South Africa, using the Exact Maximum Likelihood (EML) method by categorizing the variables into five main categories: cyclical reversion, structural policies and institutions, stabilization policies, cyclical volatility and external conditions. The statistically significant finding of structural policies and institutional category variables imply that the sector growth was achieved with improved education, financial depth, and trade openness. However, the negative relationship of financial depth (RDGDP) indicates the sector is suffering from a debt crisis. Therefore, farmers need to follow an effective debt management system. The cyclical reversion was found to be statistically significant and related negatively. This shows that there is an important connection between the business cycle and agricultural economic growth.

Suggested Citation

  • M.Y. TEWELDEMEDHIN & H.D. VAN SCHALKWYK & Rena RAVINDER, 2009. "The Agricultural Industry And Economic Growth In South Africa – An Empirical Analysis," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 4, pages 43-56, November.
  • Handle: RePEc:aic:revebs:y:2009:i:4:teweldemedhinm
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    References listed on IDEAS

    as
    1. Keller, Wolfgang, 2002. "Trade and the Transmission of Technology," Journal of Economic Growth, Springer, vol. 7(1), pages 5-24, March.
    2. Valerie Mignon & Sandrine Lardic, 2004. "The exact maximum likelihood estimation of ARFIMA processes and model selection criteria: A Monte Carlo study," Economics Bulletin, AccessEcon, vol. 3(21), pages 1-16.
    3. Fischer, Stanley, 1993. "The role of macroeconomic factors in growth," Journal of Monetary Economics, Elsevier, vol. 32(3), pages 485-512, December.
    4. repec:ebl:ecbull:v:3:y:2004:i:21:p:1-16 is not listed on IDEAS
    5. Emmanuel Dubois & Sandrine Lardic & Valérie Mignon, 2004. "The Exact Maximum Likelihood-Based Test for Fractional Cointegration: Critical Values, Power and Size," Computational Economics, Springer;Society for Computational Economics, vol. 24(3), pages 239-255, July.
    6. Bakucs, Lajos Zoltan & Ferto, Imre, 2005. "Monetary Impacts and Overshooting of Agricultural Prices in a Transition Economy," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24711, European Association of Agricultural Economists.
    7. David Dollar & Aart Kraay, 2004. "Trade, Growth, and Poverty," Economic Journal, Royal Economic Society, vol. 114(493), pages 22-49, February.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    agricultural sector; South Africa; Debt crisis; economic growth; cyclical reversion;

    JEL classification:

    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy

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