Estimating and decomposing productivity growth of the electricity generation industry in Malaysia: A stochastic frontier analysis

被引:22
作者
See, Kok Fong [1 ]
Coelli, Tim [1 ]
机构
[1] Univ Queensland, Sch Econ, Brisbane, Qld 4072, Australia
关键词
Productivity growth; Electric utilities; Malaysia; EFFICIENCY; REFORM; ENGLAND;
D O I
10.1016/j.enpol.2013.06.115
中图分类号
F [经济];
学科分类号
02 ;
摘要
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. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:207 / 214
页数:8
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