Productivity Growth of ECOWAS Common Crops: A Tale of Two Competing Frontier Methods of Analysis
AbstractThis study examines productivity growth of 3 ECOWAS crops, namely, rice, cotton and millet, using both Stochastic Frontier Analysis (SFA) and Data Envelopment analysis (DEA). The data cover a 45 year period (1961-2005). Calculations are based on data collected from FAOSTAT database, International Rice research Institute (IRRI) world rice statistics, and international cotton advisory committee database. The results for both SFA and DEA show that (1) there are inefficiencies but productivity progress among ECOWAS member nations producing rice, cotton and millet. (2) Though, magnitudes of the inefficiencies and productivity progress vary across models applied and by segmentation of the data set, there is little or no conflict in the overall results. (3) Technical change has had the greatest impact on productivity, indicating that producers have a tendency to catch-up with the front runners.
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Bibliographic InfoPaper provided by African Farm Management Association (AFMA) in its series 2012 Eighth AFMA Congress, November 25-29, 2012, Nairobi, Kenya with number 159404.
Date of creation: Nov 2012
Date of revision:
Stochastic Frontier Analysis; Data Envelopment Analysis; Crops; ECOWAS; Crop Production/Industries; Productivity Analysis; C13; C24; O33; O47;
Find related papers by JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models
- O33 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
- O47 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Measurement of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
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