Technology and farm performance: paths of productive efficiencies over time
The focus of this paper is the process of adjustment of farm performance to disequilibrium with new technology over time, which has been a subject of speculation till now. It shows that, left to learn from their own experience, farmers will be slow to realise the full technical potential of a new technology. Drawing on theories of intra-firm diffusion, the hypotheses tested in this paper using data from India are: (1) initial overall farm performances are characterised by modest and widely varying technical and allocative efficiencies, and (2) over time, average efficiencies rise. © 2001 Elsevier Science B.V. All rights reserved.
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- Atkinson, Anthony B & Stiglitz, Joseph E, 1969. "A New View of Technological Change," Economic Journal, Royal Economic Society, vol. 79(315), pages 573-78, September.
- Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
- Lindner, R. & Fischer, A. & Pardey, P., 1979. "The time to adoption," Economics Letters, Elsevier, vol. 2(2), pages 187-190.
- Schultz, Theodore W, 1975. "The Value of the Ability to Deal with Disequilibria," Journal of Economic Literature, American Economic Association, vol. 13(3), pages 827-46, September.
- Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
- Allen, Robert C., 1983. "Collective invention," Journal of Economic Behavior & Organization, Elsevier, vol. 4(1), pages 1-24, March.
- Stoneman, P, 1981. "Intra-Firm Diffusion, Bayesian Learning and Profitability," Economic Journal, Royal Economic Society, vol. 91(362), pages 375-88, June.
- Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-44, June.
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