Simultaneous Estimation Of Technology Adoption And Land Allocation
The paper considers the econometric modeling of technology adoption when crop choice is simultaneous. Bivariate probit is used to estimate a model of irrigation technology choice and land allocation using a unique field-level data set from California's Central Valley. Special attention is paid to the proper calculation of marginal effects in the bivariate probit model, which are often useful for policy purposes. Estimation results confirm that the choices of irrigation technology and land allocation are simultaneous. With regard to the influence of price incentives on agricultural water use, estimation results from the bivariate probit model indicate that the influence of water price on the adoption of precision irrigation technology is much larger than previously realized. A univariate model of technology choice that treats land allocation as exogenous underestimates the effect of water price on the adoption of precision technology by over 40 percent.
|Date of creation:||2003|
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- Green, Gareth P. & Sunding, David L., 1997.
"Land Allocation, Soil Quality, And The Demand For Irrigation Technology,"
Journal of Agricultural and Resource Economics,
Western Agricultural Economics Association, vol. 22(02), December.
- Green, Gareth P. & Sunding, David L., 1997. "Land Allocation, Soil Quality and the Demand for Irrigation Technology," 1997 Annual Meeting, July 13-16, 1997, Reno\Sparks, Nevada 35807, Western Agricultural Economics Association.
- David Zilberman & Doug Parker, 1996. "Explaining Irrigation Technology Choices: A Microparameter Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(4), pages 1064-1072.
- Margriet Caswell & David Zilberman, 1985. "The Choices of Irrigation Technologies in California," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 67(2), pages 224-234.
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