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.


Issue Date:
2000-12
Publication Type:
Journal Article
PURL Identifier:
http://purl.umn.edu/54211
Published in:
Agrekon, Volume 39, Issue 4
Page range:
495-503
Total Pages:
9




 Record created 2017-04-01, last modified 2017-08-25

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