Stochastic biases in technical change in South African agriculture
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.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Chambers,Robert G., 1988. "Applied Production Analysis," Cambridge Books, Cambridge University Press, number 9780521314275, September.
- 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.
- Johann Kirsten & Julian May & Sheryl Hendriks & Charles L. Machethe & Cecelia Punt & Mike Lyne, 2007. "South Africa," Chapters,in: Beyond Food Production, chapter 8 Edward Elgar Publishing.