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- Title
A Bayesian stochastic frontier: an application to agricultural productivity growth in European countries.
- Authors
Tonini, A.
- Abstract
This paper measures and compares total factor productivity (TFP) growth in agriculture for the European Union (EU) countries and candidate countries (CC), in order to distinguish and investigate cross-country differences in agricultural productivity growth rates from 1993 to 2006. A stochastic production frontier model is estimated using a Bayesian approach capturing country-specific time-invariant heterogeneity and country-specific time-varying inefficiency. Agricultural productivity growth is found to be mostly driven by technological change. The TFP growth rates of the EU-12 countries and CC are about twice the EU-15 growth rate. Catch-up in productivity levels is observed between EU-15 and EU-12 as well as between EU-15 and CC. The results are compared for a situation in which country-specific time-invariant heterogeneity is not taken into account.
- Subjects
BAYESIAN analysis; AGRICULTURAL productivity; INDUSTRIAL productivity; ECONOMIC development; ECONOMIC efficiency; TIME-varying systems; EUROPEAN Union
- Publication
Economic Change & Restructuring, 2012, Vol 45, Issue 4, p247
- ISSN
1573-9414
- Publication type
Article
- DOI
10.1007/s10644-011-9117-9