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

See, Kok Fong and Coelli, Tim (2013) Estimating and decomposing productivity growth of the electricity generation industry in Malaysia: a stochastic frontier analysis. Energy Policy, 62 207-214. doi:10.1016/j.enpol.2013.06.115


Author See, Kok Fong
Coelli, Tim
Title Estimating and decomposing productivity growth of the electricity generation industry in Malaysia: a stochastic frontier analysis
Journal name Energy Policy   Check publisher's open access policy
ISSN 0301-4215
1873-6777
Publication date 2013-11
Year available 2013
Sub-type Article (original research)
DOI 10.1016/j.enpol.2013.06.115
Open Access Status
Volume 62
Start page 207
End page 214
Total pages 8
Place of publication London, United Kingdom
Publisher Elsevier
Collection year 2014
Language eng
Subject 2100 Energy
2308 Management, Monitoring, Policy and Law
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.
Keyword Productivity growth
Electric utilities
Malaysia
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
School of Economics Publications
 
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