Data/hora: 09/06/2024 14:39:08

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