| Registro completo |
| Provedor de dados: |
AgEcon
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| País: |
United States
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| Título: |
A Bayesian Total Factor Productivity Analysis of Tropical Agricultural Systems in Central-Western Africa And South-East Asia
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| Autores: |
Tonini, Axel
Matus, Silvia Saravia
Gomez y Paloma, Sergio
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| Data: |
2011-09-30
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| Ano: |
2011
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| Palavras-chave: |
Bayesian Inference
Stochastic Production Frontier
Time Varying Technical Inefficiency
Total Factor Productivity Growth
Tropical Agricultural Systems
Farm Management
Productivity Analysis
C15
D24
O47
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| Resumo: |
This paper computes and analyses total factor productivity (TFP) growth rates for tropical agricultural systems in Central-Western Africa and South-East Asia. Two regions that despite sharing common agro-ecological conditions, have pursued different adoption rates of green revolution technology and have reported dissimilar yields per hectare. A panel data set is constructed for the period 1987-2007 from the FAOSTAT database. A Bayesian stochastic frontier model with country specific temporal variation in technical efficiency is estimated. Technical efficiency estimates reveal that there is substantial room for improvement in both continental sub-sets and that TFP estimates show on average larger rates of growth for South-East Asian countries as compared to Central-Western African countries. Results indicate that TFP is mostly driven by technical change and countries such as Benin, and Gambia display catch-up.
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| Tipo: |
Conference Paper or Presentation
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| Idioma: |
Inglês
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| Identificador: |
http://purl.umn.edu/116088
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| Relação: |
European Association of Agricultural Economists>2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland
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| Formato: |
13
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