Input and output biased technological change in US agriculture
Data Envelopment Analysis (DEA) techniques are applied to a state-level data set to measure the total factor productivity in US agriculture over 1960-1996. Total factor productivity is decomposed into input and output biased technological change, efficiency change, and scale change, under both constant return to scale (CRS) and variable return to scale (VRS). Assumption of Hick neutral technological change is discussed. Technological change is found to be the result of efficient use of inputs much more than the effects of output capability increase.
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Volume (Year): 11 (2004)
Issue (Month): 5 ()
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- R. Fare & E. Grifell-Tatje & S. Grosskopf & C.A.K. Lovell, 1995. "Biased Technical Change and the Malmquist Productivity Index," Microeconomics 9508002, EconWPA, revised 22 Aug 1995.
- 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.