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Induced Innovation Tests On Western American Agriculture: A Cointegration Analysis

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  • Liu, Qinghua
  • Shumway, C. Richard

Abstract

The 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 Info

Paper 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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Date of creation: 2003
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Handle: RePEc:ags:aaea03:22237

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Keywords: Research and Development/Tech Change/Emerging Technologies; Research Methods/ Statistical Methods;

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  1. Fernando S. Machado, 1995. "Testing The Induced Innovation Hypothesis Using Cointegration Analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 46(3), pages 349-360.
  2. 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.
  3. 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.
  4. 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.
  5. 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).
  6. 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.
  7. 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.
  8. 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.
  9. Binswanger, Hans P., 1973. "The Measurement Of Technical Change Biases With Many Factors Of Production," Staff Papers 14205, University of Minnesota, Department of Applied Economics.
  10. 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.
  11. 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.
  12. 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.
  13. Durlauf, Steven N & Phillips, Peter C B, 1988. "Trends versus Random Walks in Time Series Analysis," Econometrica, Econometric Society, vol. 56(6), pages 1333-54, November.
  14. 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.
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