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STOCHASTIC FRONTIER ANALYSIS (SFA)
(2)
answer(s).
Srl
Item
1
ID:
125456
Effect of merger and consolidation activities on the efficiency
/ Celen, Aydin
Celen, Aydin
Journal Article
0 Rating(s) & 0 Review(s)
Publication
2013.
Summary/Abstract
In this study, we analyze the efficiency performances of Turkish electricity distribution companies throughout 2002 and 2009 in the stochastic frontier analysis (SFA) framework. Our more specific goal is to measure how the efficiency performances of the electricity distribution regions were affected by the mergers between distribution regions occurred in 2005. The results demonstrate that efficiencies of the companies serving to mostly the residential customers are higher than those of other companies. However, the positive impact of residential customers on the efficiencies decreased significantly following the mergers between electricity distribution companies. In contrast, the positive impact of higher customer density on efficiency also decreased, but insignificantly following the restructuring activities in the market in 2005. Our study also witnesses that the positive impact of the mergers on the efficiencies decreases as the proportion of sales to residential customers in regions increases. In contrast, the restructuring activities of 2005 increased equally the efficiencies of the companies serving in the regions with higher and lower customer densities.
Key Words
Technical Efficiency
;
Stochastic Frontier Analysis (SFA)
;
Turkish Electricity Distribution Market
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2
ID:
109638
Effects of substituting energy with capital on China's aggregat
/ Yang, Mian; Yang, Fu-Xia; Chen, Xing-Peng
Yang, Mian
Journal Article
0 Rating(s) & 0 Review(s)
Publication
2011.
Summary/Abstract
Substituting energy with capital (SEC) in economic productions has become a common practice both for business owners and policy-makers to improve their energy and environmental efficiency. However, seldom previous studies on energy efficiency and/or environmental performance evaluation took this role into account. This paper aims to shed some light on the effects of SEC on China's aggregated energy and environmental efficiency (AEEE) within a parametric stochastic frontier analysis framework. Moreover, influencing factors of regional efficiency score are also discussed using a pooled regression model. The results indicate that SEC poses significant effects on improving China's AEEE, and this impact appears obvious regional variation that regions with lower efficiency scores hold more extensive potential to improve their AEEE by means of SEC. Furthermore, upgrading industrial structure and decreasing the proportion of coal in energy consumption make great sense to improve China's AEEE.
Key Words
China
;
Factor Substitution
;
Stochastic Frontier Analysis (SFA)
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