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Technological change in Illinois agriculture, 1982-1984

  • Grabowski, Richard
  • Kraft, Steven
  • Mehdian, Seyed
  • Pasurka, Carl

This paper has two main purposes: ( 1 ) to develop a method for measuring the extent and bias of technical change which involves the use of non-parametric production frontiers and does not require information on prices or factor shares; (2) to apply this method to individual farm data drawn from a sample of Illinois grain farms for the years 1982 and 1984. The results indicate that technical innovation is land using in nature and that the rate of technical change is related to the size of farm.

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File URL: http://www.sciencedirect.com/science/article/B6T3V-45GNHYV-2/2/64fe9fc93c1de5223fe27457dd80bca2
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Article provided by Blackwell in its journal Agricultural Economics.

Volume (Year): 2 (1988)
Issue (Month): 4 (December)
Pages: 303-318

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Handle: RePEc:eee:agecon:v:2:y:1988:i:4:p:303-318
Contact details of provider: Web page: http://www.blackwell-synergy.com/loi/agec

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  1. Afriat, Sidney N, 1972. "Efficiency Estimation of Production Function," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 13(3), pages 568-98, October.
  2. 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.
  3. Fare, Rolf & Knox Lovell, C. A., 1978. "Measuring the technical efficiency of production," Journal of Economic Theory, Elsevier, vol. 19(1), pages 150-162, October.
  4. Forsund, Finn R. & Lovell, C. A. Knox & Schmidt, Peter, 1980. "A survey of frontier production functions and of their relationship to efficiency measurement," Journal of Econometrics, Elsevier, vol. 13(1), pages 5-25, May.
  5. Richmond, J, 1974. "Estimating the Efficiency of Production," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 15(2), pages 515-21, June.
  6. Diewert, W E, 1980. "Capital and the Theory of Productivity Measurement," American Economic Review, American Economic Association, vol. 70(2), pages 260-67, May.
  7. Schmidt, Peter & Lovell, C. A. Knox, 1980. "Estimating stochastic production and cost frontiers when technical and allocative inefficiency are correlated," Journal of Econometrics, Elsevier, vol. 13(1), pages 83-100, May.
  8. Nishimizu, Mieko & Page, John M, Jr, 1982. "Total Factor Productivity Growth, Technological Progress and Technical Efficiency Change: Dimensions of Productivity Change in Yugoslavia, 1965-78," Economic Journal, Royal Economic Society, vol. 92(368), pages 920-36, December.
  9. 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.
  10. Greene, William H., 1980. "Maximum likelihood estimation of econometric frontier functions," Journal of Econometrics, Elsevier, vol. 13(1), pages 27-56, May.
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