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

B-Tier
Journal: Energy Policy
Year: 2013
Volume: 62
Issue: C
Pages: 207-214

Score contribution per author:

1.009 = (α=2.02 / 2 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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.

Technical Details

RePEc Handle
repec:eee:enepol:v:62:y:2013:i:c:p:207-214
Journal Field
Energy
Author Count
2
Added to Database
2026-01-25