Data/hora: 03/06/2024 05:26:33

Provedor de dados: | 31
País: | United States
Título: | A Bayesian Total Factor Productivity Analysis of Tropical Agricultural Systems in Central-Western Africa And South-East Asia
Autores: | Tonini,   Axel; Matus,   Silvia Saravia; Gomez y Paloma,   Sergio.
Data: | 2011-09-30
Ano: | 2011
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.
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.
Tipo: | Conference Paper or Presentation
Idioma: | Inglês
Identificador: | http://purl.umn.edu/116088
Relação: | European Association of Agricultural Economists&gt;2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland
Formato: | 13