Journal:Energy Efficiency
Key Words:Energy congestion . Energy efficiency. Data envelopment analysis
Abstract:Data envelopment analysis as a nonparametric frontier approach has gained increasing popularity in assessing total factor energy efficiency performance. Earlier studies often assume that production activity lies in the economic area, and energy inefficiency associated with energy congestion has seldom been examined. This paper contributes to energy efficiency assessment by developing a decomposition model to examine the energy
inefficiency driven by energy congestion and empirically examining whether the energy use in Chinese industrial
sectors shows evidence of congestion. It is found that
energy congestion does exist in Chinese industrial sectors
but varies across different provinces. The provinces with
high energy intensities are more likely to suffer from energy congestion. Our empirical results also show that
energy congestion could be a main driving force of energy
inefficiency. Some policy implications towards energy conservation in China are finally discussed
Indexed by:Journal paper
Discipline:Management Science
First-Level Discipline:Management Science and Engineering
Document Type:J
Volume:9
Issue:2
Page Number:371-384
Translation or Not:no
Date of Publication:2016-01-01
Included Journals:SSCI