Technical efficiency in farming: a meta-regression analysis
Daniel Solis (),
Víctor Moreira López (),
José Maripani (),
Abdourahmane Thiam () and
Teodoro Rivas ()
Journal of Productivity Analysis, 2007, vol. 27, issue 1, 57-72
A meta-regression analysis including 167 farm level technical efficiency (TE) studies of developing and developed countries was undertaken. The econometric results suggest that stochastic frontier models generate lower mean TE (MTE) estimates than non-parametric deterministic models, while parametric deterministic frontier models yield lower estimates than the stochastic approach. The primal approach is the most common technological representation. In addition, frontier models based on cross-sectional data produce lower estimates than those based on panel data whereas the relationship between functional form and MTE is inconclusive. On average, studies for animal production show a higher MTE than crop farming. The results also suggest that the studies for countries in Western Europe and Oceania present, on average, the highest levels of MTE among all regions after accounting for various methodological features. In contrast, studies for Eastern European countries exhibit the lowest estimate followed by those from Asian, African, Latin American, and North American countries. Additional analysis reveals that MTEs are positively and significantly related to the average income of the countries in the data set but this pattern is broken by the upper middle income group which displays the lowest MTE. Copyright Springer Science+Business Media, LLC 2007
Keywords: Meta-Regression; Frontier Models; Technical Efficiency; International Agriculture; Q12; D24 (search for similar items in EconPapers)
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Working Paper: Technical Efficiency in Farming: A Meta-regression analysis (2005)
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