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发表刊物：Computational Economics

关键字：Energy congestion · Data envelopment analysis · Energy efficiency · China

摘要：Measuring the magnitude of energy congestion provides useful information for determining the optimal level of energy input with reference to other inputs. This paper clarifies the concept of energy congestion and adapts a slacks-basedDEAmethod
to examine the energy congestion effect in Chinese industrial sectors over time. Our empirical results show that Chinese industrial sectors showed an increasing trend in energy congestion. The size of energy congestion effect varied across different provinces and regions. The central area had a significantly higher amount of energy congestion than that in west area, while the east area registered for the lowest energy
congestion inefficiency. On average, 32 % of the energy consumption in Chinese industry was excessively used. A multiple regression analysis within a panel data analysis framework shows that the total energy consumption and industrial value
added per capita have a positive while total-factor energy efficiency has a negative effect..

论文类型：期刊论文

学科门类：管理学

一级学科：管理科学与工程

卷号：46

期号：3

页面范围：479-494

是否译文：否

发表时间：2015-12-16

收录刊物：SSCI