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Estimating and decomposing productivity growth of the electricity generation industry in Malaysia: A stochastic frontier analysis
Affiliation:1. Joseph L. Rotman School of Management, University of Toronto, Toronto, M5S 3E6, Canada;2. Department of Industrial Engineering and Management, Ben Gurion University of the Negev, P.O. 653 Beer Sheva 84105, Israel;1. Department of Agricultural Economics, University of Nairobi, Kenya;2. International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Nairobi, Kenya
Abstract:This study examines the total factor productivity (TFP) growth of the Malaysian electricity generation industry over the 1998 to 2005 period. The stochastic frontier analysis (SFA) approach is used to measure TFP change and decompose TFP growth into efficiency change and technical progress. We find that it achieved average annual TFP growth of 2.34%, with technical change contributing the most to the TFP growth over the eight year period. We hence hypothesise that the new power plants with their newer capital-embodied technologies commencing during the sample period are likely to be the main reason for this strong technical change. In addition, it is also noted that this estimate for the Malaysian electricity generation industry is larger than the estimate obtained for the electricity sector as a whole, where we obtain 1.34% per year for a comparable period.
Keywords:Productivity growth  Electric utilities  Malaysia
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