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.
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Document Type: Research Article
Department of Management,King's College London, 150 Stamford StreetLondon SE1 9HN, UK
United States Department of Agriculture,Production Economics and Technology, Economic Research Service, 1800 M Street, NW, Room 4179WashingtonDC 20036-5831, USA
Department of Agricultural Economics,University of Stellenbosch, Stellenbosch 7602, South Africa
Publication date: 2011-11-01
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