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.
|Date of creation:||2011|
|Contact details of provider:|| Web page: http://www.eaae.org|
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- van den Broeck, Julien & Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1994.
"Stochastic frontier models : A Bayesian perspective,"
Journal of Econometrics,
Elsevier, vol. 61(2), pages 273-303, April.
- Broeck, Julien Van den & Steel, Mark F.J. & Osiewalski, Jacek & Koop, Gary, 1992. "Stochastic frontier models: a bayesian perspective," UC3M Working papers. Economics 2823, Universidad Carlos III de Madrid. Departamento de Economía.
- Ruttan, Vernon W., 2002.
"Productivity Growth In World Agriculture: Sources And Constraints,"
14176, University of Minnesota, Department of Applied Economics.
- Vernon W. Ruttan, 2002. "Productivity Growth in World Agriculture: Sources and Constraints," Journal of Economic Perspectives, American Economic Association, vol. 16(4), pages 161-184, Fall.
- Tim J. Coelli & D. S. Prasada Rao, 2005.
"Total factor productivity growth in agriculture: a Malmquist index analysis of 93 countries, 1980-2000,"
International Association of Agricultural Economists, vol. 32(s1), pages 115-134, 01.
- Coelli, Tim J. & Prasada Rao, D. S., 2003. "Total Factor Productivity Growth in Agricultrue: A Malmquist Index Analysis of 93 Countries, 1980-2000," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa: Plenary Sessions 245928, International Association of Agricultural Economists.
- Tim J. Coelli & D.S. Prasada Rao, 2003. "Total Factor Productivity Growth in Agriculture: A Malmquist Index Analysis of 93 Countries,1980-2000," CEPA Working Papers Series WP022003, School of Economics, University of Queensland, Australia.
- Jim Griffin & Mark Steel, 2005.
"Bayesian Stochastic Frontier Analysis Using WinBUGS,"
- Jim Griffin & Mark Steel, 2007. "Bayesian stochastic frontier analysis using WinBUGS," Journal of Productivity Analysis, Springer, vol. 27(3), pages 163-176, June.
- Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
- David E. Bloom & Jeffrey D. Sachs, 1998. "Geography, Demography, and Economic Growth in Africa," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 29(2), pages 207-296.
- Adlas, J. & Achoth, Lalith, 2006. "Is the Green Revolution Vanishing? Empirical Evidence from TFP Analysis for Rice," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25561, International Association of Agricultural Economists.
- J. Griffin & M. Steel, 2008. "Flexible mixture modelling of stochastic frontiers," Journal of Productivity Analysis, Springer, vol. 29(1), pages 33-50, February.
- Pingali, P. L. & Traxler, G., 2002. "Changing locus of agricultural research: will the poor benefit from biotechnology and privatization trends?," Food Policy, Elsevier, vol. 27(3), pages 223-238, June.
When requesting a correction, please mention this item's handle: RePEc:ags:eaae11:116088. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search)
If references are entirely missing, you can add them using this form.