Measuring energy efficiency under heterogeneous technologies using a latent class stochastic frontier approach: An application to Chinese energy economy

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	Measuring energy efficiency under heterogeneous technologies using a latent class stochastic frontier approach: An application to Chinese energy economy
	Lin, Boqian ; Du, Kerui ; Lin BQ(林伯强)
刊名	http://dx.doi.org/10.1016/j.energy.2014.08.089
	2014
关键词	Engineering education Stochastic systems
英文摘要	The importance of technology heterogeneity in estimating economy-wide energy efficiency has been emphasized by recent literature. Some studies use the metafrontier analysis approach to estimate energy efficiency. However, for such studies, some reliable priori information is needed to divide the sample observations properly, which causes a difficulty in unbiased estimation of energy efficiency. Moreover, separately estimating group-specific frontiers might lose some common information across different groups. In order to overcome these weaknesses, this paper introduces a latent class stochastic frontier approach to measure energy efficiency under heterogeneous technologies. An application of the proposed model to Chinese energy economy is presented. Results show that the overall energy efficiency of China's provinces is not high, with an average score of 0.632 during the period from 1997 to 2010. ? 2014 Elsevier Ltd.
语种	英语
出版者	Elsevier Ltd
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/90224]
专题	经济学院－已发表论文
推荐引用方式 GB/T 7714	Lin, Boqian,Du, Kerui,Lin BQ. Measuring energy efficiency under heterogeneous technologies using a latent class stochastic frontier approach: An application to Chinese energy economy[J]. http://dx.doi.org/10.1016/j.energy.2014.08.089,2014.
APA	Lin, Boqian,Du, Kerui,&林伯强.(2014).Measuring energy efficiency under heterogeneous technologies using a latent class stochastic frontier approach: An application to Chinese energy economy.http://dx.doi.org/10.1016/j.energy.2014.08.089.
MLA	Lin, Boqian,et al."Measuring energy efficiency under heterogeneous technologies using a latent class stochastic frontier approach: An application to Chinese energy economy".http://dx.doi.org/10.1016/j.energy.2014.08.089 (2014).