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Induced Innovation in the Agricultural Sector: Evidence From a State Panel

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Author Info
Shumway, C. Richard
Liu, Yucan
Abstract

This paper uses recently developed panel cointegration techniques and error correction modeling to test the hypothesis of induced innovation in a state-level panel of U.S. agricultural production. These methods provide greatly improved power compared to conventional approaches. A 5-step testing procedure is used to test the induced innovation hypothesis based on a 2-stage CES production function with aggregate output and four input categories. For both pairs of inputs, the test fails to support the hypothesis of induced innovation at one or more of the critical steps.

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Publisher Info
Paper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2006 Annual meeting, July 23-26, Long Beach, CA with number 21089.

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Date of creation: 2006
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Handle: RePEc:ags:aaea06:21089

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Related research
Keywords: Research and Development/Tech Change/Emerging Technologies;

References listed on IDEAS
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  1. Jean-Paul Chavas & Michael Aliber & Thomas L. Cox, 2000. "An Analysis Of The Source And Nature Of Technical Change: The Case Of U.S. Agriculture," The Review of Economics and Statistics, MIT Press, vol. 79(3), pages 482-492, August. [Downloadable!] (restricted)
  2. Hakkio, Craig S. & Rush, Mark, 1991. "Cointegration: how short is the long run?," Journal of International Money and Finance, Elsevier, vol. 10(4), pages 571-581, December. [Downloadable!] (restricted)
    Other versions:
  3. 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). [Downloadable!]
  4. Fernando S. Machado, 1995. "Testing The Induced Innovation Hypothesis Using Cointegration Analysis," Journal of Agricultural Economics, Blackwell Publishing, vol. 46(3), pages 349-360. [Downloadable!] (restricted)
  5. 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. [Downloadable!] (restricted)
  6. 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. [Downloadable!] (restricted)
  7. Qinghua Liu & C. Richard Shumway, 2006. "Geographic aggregation and induced innovation in American agriculture," Applied Economics, Taylor and Francis Journals, vol. 38(6), pages 671-682, April. [Downloadable!] (restricted)
  8. Nair-Reichert, Usha & Weinhold, Diana, 2001. " Causality Tests for Cross-Country Panels: A New Look at FDI and Economic Growth in Developing Countries," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(2), pages 153-71, May. [Downloadable!] (restricted)
  9. Harris, Richard D. F. & Tzavalis, Elias, 1999. "Inference for unit roots in dynamic panels where the time dimension is fixed," Journal of Econometrics, Elsevier, vol. 91(2), pages 201-226, August. [Downloadable!] (restricted)
  10. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July. [Downloadable!] (restricted)
    Other versions:
  11. Pedroni, Peter, 1999. " Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 653-70, Special I. [Downloadable!] (restricted)
  12. Isabelle Armanville & Peter Funk, 2003. "Induced innovation: an empirical test," Applied Economics, Taylor and Francis Journals, vol. 35(15), pages 1627-1647, October. [Downloadable!] (restricted)
  13. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-95, November. [Downloadable!] (restricted)
  14. 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. [Downloadable!] (restricted)
  15. Ahearn, Mary & Yee, Jet & Bottum, John, 2003. "Regional Trends In Extension System Resources," Agricultural Information Bulletins 33787, United States Department of Agriculture, Economic Research Service. [Downloadable!]
  16. Harris, R. & Tzavalis, E., 1996. "Inference for Unit Roots in Dynamic Panels," Discussion Papers 96/04, University of Exeter, School of Business and Economics.
  17. M Pesaran & Yongcheol Shin & Ron P Smith, 2004. "Pooled mean group estimation of dynamic heterogeneous panels," ESE Discussion Papers 16, Edinburgh School of Economics, University of Edinburgh. [Downloadable!]
  18. 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. [Downloadable!] (restricted)
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