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Change, Adjustment And The Role Of Specific Experience: Evidence From Sri Lankan Rice Farming

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  • Ekanayake, S.A.B.
  • Jayasuriya, Sisira

Abstract

Human capital comprising various components, such as different types of training, experience and skills, influences the capacity of economic agents to adjust to changing environments. We distinguish between formal education, general experience and various types of specific experience as determinants of adjustment to disequilibria in agriculture and demonstrate that their relative importance varies according to the nature of the changes facing the farmers. The results provide strong support for the importance of land-specific experience even in 'modernising' situations.

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Bibliographic Info

Article provided by Australian Agricultural and Resource Economics Society in its journal Australian Journal of Agricultural Economics.

Volume (Year): 33 (1989)
Issue (Month): 02 (August)
Pages:

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Handle: RePEc:ags:ajaeau:22583

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Keywords: Labor and Human Capital;

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References

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  1. 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.
  2. Waldman, Donald M., 1984. "Properties of technical efficiency estimators in the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 25(3), pages 353-364, July.
  3. Battese, George E. & Corra, Greg S., 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 21(03), December.
  4. Fane, George, 1975. "Education and the Managerial Efficiency of Farmers," The Review of Economics and Statistics, MIT Press, vol. 57(4), pages 452-61, November.
  5. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
  6. Welch, F, 1970. "Education in Production," Journal of Political Economy, University of Chicago Press, vol. 78(1), pages 35-59, Jan.-Feb..
  7. Moock, Peter R, 1981. "Education and Technical Efficiency in Small-Farm Production," Economic Development and Cultural Change, University of Chicago Press, vol. 29(4), pages 723-39, July.
  8. 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.
  9. Goodell, Grace E, 1984. "Bugs, Bunds, Banks, and Bottlenecks: Organizational Contradictions in the New Rice Technology," Economic Development and Cultural Change, University of Chicago Press, vol. 33(1), pages 23-41, October.
  10. Greene, William H., 1980. "Maximum likelihood estimation of econometric frontier functions," Journal of Econometrics, Elsevier, vol. 13(1), pages 27-56, May.
  11. Lipton, Michael, 1985. "Education and Farm Efficiency: Comment," Economic Development and Cultural Change, University of Chicago Press, vol. 34(1), pages 167-68, October.
  12. Shapiro, Kenneth H & Muller, Jurgen, 1977. " Sources of Technical Efficiency: The Roles of Modernization and Information," Economic Development and Cultural Change, University of Chicago Press, vol. 25(2), pages 293-310, January.
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Cited by:
  1. Mariam, Yohannes & Eisemon, Thomas & Coffin, Garth, 1993. "Production Efficiency in Peasant Agriculture: An Application of LISREL Model," MPRA Paper 403, University Library of Munich, Germany, revised 12 Aug 1994.
  2. Fernandez-Cornejo, Jorge, 1994. "Nonradial Technical Efficiency And Chemical Input Use In Agriculture," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 23(1), April.

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