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dc.contributor.authorLi, Kezh_CN
dc.contributor.authorLin, Boqiangzh_CN
dc.contributor.author林伯强zh_CN
dc.date.accessioned2015-07-22T07:04:07Z
dc.date.available2015-07-22T07:04:07Z
dc.date.issued2014-05-01zh_CN
dc.identifier.citationENERGY, 2014,69:258-265zh_CN
dc.identifier.otherWOS:000337856100025zh_CN
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/90187
dc.descriptionNewhuadu Business School Research Fund; China Sustainable Energy Program [G-1305-18257]; National Social Science Foundation of China [12ZD059]; Ministry of Education [10 JBG 013, 11YJC790082]; Social Science Foundation of Hunan in China [13YBA241]zh_CN
dc.description.abstractAdjusting industrial structural is crucial for Chinese government's effort to reduce energy intensity. This paper, based on the fact that the Chinese industrial structure's two V-pattern evolutions and the nonlinear fluctuation of the declining rate of energy intensity, specifies a nonlinear threshold cointegration model for El (energy intensity), IS (industrial structure), TECH (technological progress), and PRICE (energy price) in order to investigate whether, and under which conditions, industrial structure is beneficial for reducing energy intensity. Results show that IS has different effects on EI when IS is greater or smaller than 40.435%. Specifically, in 1980-1982, 1995-1997, and 2003-2008, IS and PRICE produced positive effects on El, but produced negative effects in 1983-1994, 1998-2002, and 2009. TECH, including both capital embodied technological progress and Hicks-neutral technological progress, produced a negative effect on El in 1980-2009. Thus, the industrial structure has a structural bonus or negative effects on energy intensity only when IS is smaller than 40.435%. Therefore, China should reduce the ratio of industry added value to the GDP and stimulate technological progress to continuously reduce energy intensity. (C) 2014 Elsevier Ltd. All rights reserved.zh_CN
dc.language.isoen_USzh_CN
dc.publisherPERGAMON-ELSEVIER SCIENCE LTDzh_CN
dc.source.urihttp://dx.doi.org/10.1016/j.energy.2014.02.106zh_CN
dc.subjectDECOMPOSITION ANALYSISzh_CN
dc.subjectCONSUMPTIONzh_CN
dc.subjectPRICESzh_CN
dc.titleThe nonlinear impacts of industrial structure on China's energy intensityzh_CN
dc.typeArticlezh_CN


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