Stochastic Technical Change and Procyclical TFP The Italian Agriculture Case
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- Matthew Andersen & Julian Alston & Philip Pardey, 2012.
"Capital use intensity and productivity biases,"
Journal of Productivity Analysis,
Springer, vol. 37(1), pages 59-71, February.
- Andersen, Matthew A. & Alston, Julian M. & Pardey, Philip G., 2007. "Capital Use Intensity and Productivity Biases," Staff Papers 7314, University of Minnesota, Department of Applied Economics.
- Andersen, Matthew A. & Alston, Julian M. & Pardey, Philip G., 2010. "Capital Use Intensity and Productivity Biases," Staff Papers 93143, University of Minnesota, Department of Applied Economics.
- Roberto ESPOSTI & Pierpaolo PIERANI, 2001. "Building the Knowledge Stock: Lags, Depreciation and Uncertainty in Agricultural R&D," Working Papers 145, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
- Esposti, Roberto, 2008.
"Why Should Regional Agricultural Productivity Growth Converge? Evidence from Italian Regions,"
2008 International Congress, August 26-29, 2008, Ghent, Belgium
43955, European Association of Agricultural Economists.
- Roberto ESPOSTI, 2008. "Why Should Regional Agricultural Productivity Growth Converge? Evidence from Italian Regions," Working Papers 319, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
More about this item
KeywordsCost Function; Italian Agriculture; Latent Variable; Stochastic Technical Change;
- D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
- O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
- Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
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