Please use this identifier to cite or link to this item:
|Title:||A Bayesian Total Factor Productivity Analysis of Tropical Agricultural Systems in Central-Western Africa And South-East Asia|
|Authors:||TONINI Axel; SARAVIA MATUS SILVIA; GOMEZ Y PALOMA Sergio|
|Citation:||Change and Uncertainty, Challenges for Agriculture, Food and Natural Resources p. 13|
|Type:||Articles in periodicals and books|
|Abstract:||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. Keywords: Bayesian Inference, Stochastic Production Frontier, Time Varying Technical Inefficiency, Total Factor Productivity Growth, Tropical Agricultural Systems JEL Classification: C15, D24, O47|
|JRC Institute:||Growth and Innovation|
Files in This Item:
There are no files associated with this item.
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.