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Stochastic biases in technical change in South African agriculture

Author

Listed:
  • Balcombe, Kelvin George
  • Bailey, Alastair
  • Morrison, Jamie
  • Rapsomanikis, George
  • Thirtle, Colin G.

Abstract

This paper examines biased technical change in South African agriculture using a system of share equations with unobserved components. Developing on the work of Lambert and Shonkwiler (1995), this paper generalises previous work by introducing independent unobserved components into each model using a regression-based approach. We find evidence of stochastic technical change, which is itself biased between the four factors of production: machinery, land, labour and fertiliser, and which closely reflects distinct phases of South African agricultural policy and development.

Suggested Citation

  • Balcombe, Kelvin George & Bailey, Alastair & Morrison, Jamie & Rapsomanikis, George & Thirtle, Colin G., 2000. "Stochastic biases in technical change in South African agriculture," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 39(4), pages 1-9, December.
  • Handle: RePEc:ags:agreko:54211
    DOI: 10.22004/ag.econ.54211
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    References listed on IDEAS

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    1. Johann Kirsten & Julian May & Sheryl Hendriks & Charles L. Machethe & Cecelia Punt & Mike Lyne, 2007. "South Africa," Chapters, in: Fabrizio Bresciani & Alberto Valdés (ed.), Beyond Food Production, chapter 8, Edward Elgar Publishing.
      • Liebenberg, Frikkie & Beintema, Nienke M. & Kirsten, Johann F., 2004. "South Africa," ASTI country briefs 14, International Food Policy Research Institute (IFPRI).
    2. J. Stephen Clark & Curtis E. Youngblood, 1992. "Estimating Duality Models with Biased Technical Change: A Time Series Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(2), pages 353-360.
    3. Chambers,Robert G., 1988. "Applied Production Analysis," Cambridge Books, Cambridge University Press, number 9780521314275.
    4. David K. Lambert & J.S. Shonkwiler, 1995. "Factor Bias under Stochastic Technical Change," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(3), pages 578-590.
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    Cited by:

    1. Pauw, Karl & Leibbrandt, Murray, 2012. "Minimum Wages and Household Poverty: General Equilibrium Macro–Micro Simulations for South Africa," World Development, Elsevier, vol. 40(4), pages 771-783.
    2. Christopher Klein & Shea Slonaker, 2010. "Chart Turnover and Sales in the Recorded Music Industry: 1990–2005," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 36(4), pages 351-372, June.
    3. Bailey, Alastair & Irz, Xavier T. & Balcombe, Kelvin George, 2003. "An Appliation Of The Stochastic Latent Variable Approach To The Correction Of Sector Level Tfp Calculations In The Face Of Biased Technological Change," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25842, International Association of Agricultural Economists.
    4. Bailey, Alastair & Irz, Xavier & Balcombe, Kelvin, 2004. "Measuring productivity growth when technological change is biased--a new index and an application to UK agriculture," Agricultural Economics, Blackwell, vol. 31(2-3), pages 285-295, December.
    5. Conradie, Beatrice, 2005. "Wages and wage elasticities for wine and table grapes in South Africa," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 44(1), pages 1-19, March.

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