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Stochastic biases in technical change in South African agriculture

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  • 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.

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Bibliographic Info

Article provided by Agricultural Economics Association of South Africa (AEASA) in its journal Agrekon.

Volume (Year): 39 (2000)
Issue (Month): 4 (December)
Pages:

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Handle: RePEc:ags:agreko:54211

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Web page: http://www.aeasa.org.za/
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Keywords: Research and Development/Tech Change/Emerging Technologies;

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Cited by:
  1. 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.
  2. 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.
  3. 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), March.
  4. Christopher Klein & Shea Slonaker, 2010. "Chart Turnover and Sales in the Recorded Music Industry: 1990–2005," Review of Industrial Organization, Springer, vol. 36(4), pages 351-372, June.

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