This study analyzes productivity growth in Sudanese Sugar Schemes over the period 1999-2007. The application and specification of the output-based Malmquist total factor productivity index, data variables and sources, results, and some policy implications for the Sudanese sugar farms are discussed and presented The Malmquist productivity index was used to measure the technical and economic or allocative efficiency. Data Envelopment Non-parametric analysis (DEA) a model of output-oriented total factor productivity (TFP) was used in the analysis. This model provided meaningful results regarding technological and economic behavior relationships over time, using balance panel data on Sudanese Sugarcane Schemes. Efficiency change contributed to the total factor productivity progress and technical change to its regress to the Sudanese Sugarcane Schemes by 0.2% and 12.5%, respectively. The results indicated that the Sudanese Sugar Schemes had an annual average increase in TFP of 12.7%. The regression analysis results showed that expenses were negatively and significantly related to TFP.
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