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Geographic aggregation and induced innovation in American agriculture

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  • Qinghua Liu
  • C. Richard Shumway

Abstract

The induced innovation hypothesis is tested for the USA and western regions using cointegration procedures. An error correction model separates short-run and long-run effects of relative price changes. A significant difference in the elasticities of factor substitution along the isoquant and the innovation possibility curve implies induced innovation. The estimated results support the hypothesis for Washington, the Pacific Northwest, and the Western Region, but not for the nation. Corroborative tests of weak exogeneity fail to support the hypothesis in any of the geographic units. Changes in output level and research investment do not significantly bias agricultural technology in the USA.

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File URL: http://www.tandfonline.com/doi/abs/10.1080/00036840500397457
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Bibliographic Info

Article provided by Taylor and Francis Journals in its journal Applied Economics.

Volume (Year): 38 (2006)
Issue (Month): 6 ()
Pages: 671-682

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Handle: RePEc:taf:applec:v:38:y:2006:i:6:p:671-682

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Cited by:
  1. Yucan Liu & C. Richard Shumway & Robert Rosenman & V. Eldon Ball, 2008. "Productivity Growth and Convergence in U.S. Agriculture: New Cointegration Panel Data Results," Working Papers 2008-4, School of Economic Sciences, Washington State University.
  2. Shumway, C. Richard & Liu, Yucan, 2006. "Induced Innovation in the Agricultural Sector: Evidence From a State Panel," 2006 Annual meeting, July 23-26, Long Beach, CA 21089, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  3. Yucan Liu & C. Richard Shumway, 2008. "Induced Innovation in U.S. Agriculture: Time-series, Direct Econometric, and Nonparametric Tests," Working Papers 2008-3, School of Economic Sciences, Washington State University.
  4. Orachos Napasintuwong Artachinda, 2011. "Modeling Directions of Technical Change in Agricultural Sector," Working Papers 201101, Kasetsart University, Department of Agricultural and Resource Economics.

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