Title: A Bayesian Total Factor Productivity Analysis of Tropical Agricultural Systems in Central-Western Africa And South-East Asia
Citation: Change and Uncertainty, Challenges for Agriculture, Food and Natural Resources p. 13
Publisher: Ag Econ
Publication Year: 2011
JRC N°: JRC68714
URI: http://ageconsearch.umn.edu/handle/116088
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 Directorate:Growth and Innovation

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