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An error correction model of induced innovation in UK agriculture

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  • Jenifer Piesse
  • David Schimmelpfennig
  • Colin Thirtle

Abstract

Cointegration techniques are applied to a model of induced innovation based on the two-stage Constant Elasticity of Substitution (CES) production function. This approach results in direct tests of the inducement hypothesis, which are applied to agricultural data for the United Kingdom from 1953 to 2000. The time series properties of the variables are checked, cointegration is established and an Error Correction Model (ECM) constructed, which attempts to separate factor substitution from technological change. Finally, the ECM formulation is subjected to causality tests, which show that the factor price ratio for chemicals and land is Granger-prior to the factor-saving bias of technological change. However, long-run relative prices are not causally prior to the machinery/labour ratio. This results from perturbations in the user cost of machinery, caused by oil price shocks. Thus, the Induced Innovation Hypothesis (IIH) may explain long-run transformations like the mechanical and fertilizer revolutions that dominated the twentieth century, but not reflect short-run price volatility.

Suggested Citation

  • Jenifer Piesse & David Schimmelpfennig & Colin Thirtle, 2011. "An error correction model of induced innovation in UK agriculture," Applied Economics, Taylor & Francis Journals, vol. 43(27), pages 4081-4094.
    • Handle: RePEc:taf:applec:v:43:y:2011:i:27:p:4081-4094
    DOI: 10.1080/00036841003800856
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    References listed on IDEAS

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    1. Frisvold, George B., 1991. "Endogenous technological change in U.S. agriculture: a direct test of the Induced Innovation Hypothesis," Technical Bulletins 312323, United States Department of Agriculture, Economic Research Service.
    2. A. A. Walters, 1970. "An Introduction to Econometrics," Palgrave Macmillan Books, Palgrave Macmillan, edition 0, number 978-1-349-15277-3, March.
    3. Hicks, John, 1977. "Economic Perspectives: Further Essays on Money and Growth," OUP Catalogue, Oxford University Press, number 9780198284079.
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    Cited by:

    1. Zuzana Smeets Kristkova & Edward Smeets & Hans van Meijl, 2016. "Agricultural R&D investments, biofuel policy and food security – a CGE analysis," EcoMod2016 9966, EcoMod.
    2. Qingsong Tian & Lukas Cechura & J. Stephen Clark & Yan Yu, 2023. "Induced innovation and spillover effects of US and Canadian research expenditures in Canadian agriculture," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 71(2), pages 153-169, June.
    3. Huaiyu Wang & Sushil Pandey & Lu Feng, 2020. "Econometric Analyses of Adoption and Household-Level Impacts of Improved Rice Varieties in the Uplands of Yunnan, China," Sustainability, MDPI, vol. 12(17), pages 1-13, August.

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