A Bayesian Total Factor Productivity Analysis of Tropical Agricultural Systems in Central-Western Africa And South-East Asia

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

TONINI Axel;  SARAVIA MATUS Silvia;  GOMEZ Y PALOMA Sergio; 

2012-02-28

Ag Econ

JRC68714

http://ageconsearch.umn.edu/handle/116088,    https://publications.jrc.ec.europa.eu/repository/handle/JRC68714,