Stochastic biases in technical change in South AFRICAN agriculture

Agrekon

Volumn 39, Issue 4, 2000, Pages 495-503

  Balcombe, K ^a   Bailey, A ^a   Morrison, J ^a   Rapsomanikis, G ^a   Thirtle, C ^b  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF PRETORIA   (South Africa)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 9644291350     PISSN: 03031853     EISSN: 20780400     Source Type: Journal    
DOI: 10.1080/03031853.2000.9523667     Document Type: Article

References (10)

1. CHAMBERS, R.G. (1988). Applied production analysis: A dual approach. Cambridge University Press.
2. CLARK, J.S. &YOUNGBLOOD, C.E. (1992). Estimating duality models with biased technical change: A time series approach. Amercian Journal of Agricultural Economics, 353-360.
3. HARVEY, A.C. (1988). Forecasting structural time series models and the Kalman Filter. Cambridge University Press.
4. LAMBERT, D.K. &SHONKWILER, J.S. (1995). Factor bias under stochastic technical Change. American Journal of Agricultural Economics, 77:578-590.
5. MADDALA G.S. &KIM, IN-MOO. (1998). Unit roots cointegration and structural change. Cambridge University Press.
6. PEARCE, R., (1996). Economic policies and the environment in South Africa: The commercial farming sector. LAPC Policy Paper 30. September. LAPC Johannesburg
7. SNYDER R.D. (1990). Why Kalman Filter? Working Paper No.11/90, Monash University.
8. THIRTLE, C., SARTORIOUS VON BACH, H.J. &VAN ZYL, J. (1993). Total factor productivity in South African agriculture, 1947-1992. Development South Africa, 10:301-318.
9. TOWNSEND, R.F, KHATRI, Y. &THIRTLE, C. (1998). Biases of technical change in South African agriculture: A cost function approach. Journal of Studies in Economics and Econometrics, 22(2):15-27
10. VAN ROOYEN, J., KIRSTEN, J., VAN ZYL, J. &VINK, N. (no date). Structural adjustment and agricultural policy reform in South Africa. Working paper: USAID Southern Africa Trade and Structural Adjustment Project.