Induced Innovation Tests On Western American Agriculture: A Cointegration Analysis
AbstractThe Induced Innovation Hypothesis (IIH) is tested for Western US agriculture by means of a cointegration test. An ECM model is used to separate the short-run and long-run effects of relative price changes. A difference in the elasticities of factor substitution along the isoquant curve and the innovation possibility curve implies IIH. The estimated results showed that the induced innovation hypothesis was supported for the three regions of Washington, PNW, and the West, but not for the nation. However, while changes in relative input prices induced innovation, changes in output level or R&E investments did not. The empirical tests failed to find any significant impact of changes in the latter variables on agricultural technology in any of the geographic units.
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Bibliographic InfoPaper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2003 Annual meeting, July 27-30, Montreal, Canada with number 22237.
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- Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
- Hayami, Yujiro & Ruttan, Vernon W., 1969.
"Factor Prices And Technical Change In Agricultural Development: The United States And Japan, 1880-1960,"
14172, University of Minnesota, Department of Applied Economics.
- Hayami, Yujiro & Ruttan, V W, 1970. "Factor Prices and Technical Change in Agricultural Development: The United States and Japan, 1880-1960," Journal of Political Economy, University of Chicago Press, vol. 78(5), pages 1115-41, Sept.-Oct.
- Olmstead, Alan L & Rhode, Paul, 1993. "Induced Innovation in American Agriculture: A Reconsideration," Journal of Political Economy, University of Chicago Press, vol. 101(1), pages 100-118, February.
- Alston, Julian M. & Craig, Barbara J. & Pardey, Philip G., 1998. "Dynamics in the creation and depreciation of knowledge, and the returns to research:," EPTD discussion papers 35, International Food Policy Research Institute (IFPRI).
- Thirtle, C. & Townsend, R. & Zyl, J. van, 1998. "Testing the induced innovation hypothesis: an error correction model of South African agriculture," Agricultural Economics: The Journal of the International Association of Agricultural Economists, International Association of Agricultural Economists, vol. 19(1-2), September.
- Charles R. Nelson & Heejoon Kang, 1983.
"Pitfalls in the use of Time as an Explanatory Variable in Regression,"
NBER Technical Working Papers
0030, National Bureau of Economic Research, Inc.
- Nelson, Charles R & Kang, Heejoon, 1984. "Pitfalls in the Use of Time as an Explanatory Variable in Regression," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(1), pages 73-82, January.
- Kawagoe, Toshihiko & Otsuka, Keijiro & Hayami, Yujiro, 1986. "Induced Bias of Technical Change in Agriculture: The United States and Japan, 1880-1980," Journal of Political Economy, University of Chicago Press, vol. 94(3), pages 523-44, June.
- Fernando S. Machado, 1995. "Testing The Induced Innovation Hypothesis Using Cointegration Analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 46(3), pages 349-360.
- Anderson, G J & Blundell, R W, 1982. "Estimation and Hypothesis Testing in Dynamic Singular Equation Systems," Econometrica, Econometric Society, vol. 50(6), pages 1559-71, November.
- Lee, J H, 1983. "The Measurement and Sources of Technological Change Biases, with an Application to Postwar Japanese Agriculture," Economica, London School of Economics and Political Science, vol. 50(198), pages 159-73, May.
- Binswanger, Hans P., 1973.
"The Measurement Of Technical Change Biases With Many Factors Of Production,"
14205, University of Minnesota, Department of Applied Economics.
- Binswanger, Hans P, 1974. "The Measurement of Technical Change Biases with Many Factors of Production," American Economic Review, American Economic Association, vol. 64(6), pages 964-76, December.
- Thirtle, C. & Townsend, R. & van Zyl, J., 1998. "Testing the induced innovation hypothesis: an error correction model of South African agriculture," Agricultural Economics, Blackwell, vol. 19(1-2), pages 145-157, September.
- V. Eldon Ball & Jean-Christophe Bureau & Richard Nehring & Agapi Somwaru, 1997. "Agricultural Productivity Revisited," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(4), pages 1045-1063.
- Durlauf, Steven N & Phillips, Peter C B, 1988.
"Trends versus Random Walks in Time Series Analysis,"
Econometric Society, vol. 56(6), pages 1333-54, November.
- Steven N. Durlauf & Peter C.B. Phillips, 1986. "Trends Versus Random Walks in Time Series Analysis," Cowles Foundation Discussion Papers 788, Cowles Foundation for Research in Economics, Yale University.
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