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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
business, management and accounting
Technical efficiency in farming: A meta-regression analysis
Journal of Productivity Analysis, Volume 27, No. 1, Year 2007
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Description
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. © 2006 Springer Science+Business Media, LLC.
Authors & Co-Authors
Bravo-Ureta, Boris E.
United States, Storrs
University of Connecticut
Solís, Daniel
United States, Miami
Rosenstiel School of Marine and Atmospheric Science
Moreira López, Víctor H.
Chile, Valdivia
Universidad Austral de Chile
Maripani, José F.
United States, Storrs
University of Connecticut
Chile, Punta Arenas
Universidad de Magallanes
Thiam, Abdourahmane
Senegal, Dakar
Ecole Nationale D'economie Appliquée
Rivas, Teodoro
Chile, Santiago
Ministry of Education
Statistics
Citations: 491
Authors: 6
Affiliations: 6
Identifiers
Doi:
10.1007/s11123-006-0025-3
ISSN:
0895562X
e-ISSN:
15730441
Study Design
Cross Sectional Study
Study Approach
Quantitative