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dc.contributor.authorLin, Boqianzh_CN
dc.contributor.authorLong, Houyinzh_CN
dc.contributor.author林伯强zh_CN
dc.date.accessioned2015-07-22T07:04:11Z
dc.date.available2015-07-22T07:04:11Z
dc.date.issued2014 December 1zh_CN
dc.identifier.citationEnergy, 2014,77:822-830zh_CN
dc.identifier.issn0360-5442zh_CN
dc.identifier.other20144700214241zh_CN
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/90223
dc.description.abstractThe chemical process industry is the second largest carbon-emitting sector in China. Therefore, it is extremely urgent and crucial to explore how to reduce carbon emissions in the sector. This paper employs the co-integration method and scenario analysis to investigate how to reduce carbon emissions in the sector. The granger causality test is conducted and the result indicates that all the variables except lnPare granger-causes lnCE. Moreover, comparing the JJ (Johansen-Juselius) co-integration with the EG (Engle-Granger) co-integration based on the squared residual, the fitting effect and the prediction effect, we find that the EG co-integration method is better. Furthermore, we adopt the EG co-integration and scenario analysis and find that the emission reduction potential of the sector will be 63.9Mt in 2015 and 180Mt in 2020 under the middle scenario; and 121.4Mt in 2015 and 327.9Mt in 2020 under the advanced scenario. Finally, the paper provides some policy implication. ? 2014 Elsevier Ltd.zh_CN
dc.language.isoen_USzh_CN
dc.publisherElsevier Ltdzh_CN
dc.source.urihttp://dx.doi.org/10.1016/j.energy.2014.09.052zh_CN
dc.subjectCarbonzh_CN
dc.subjectChemical analysiszh_CN
dc.subjectChemical industryzh_CN
dc.subjectEmission controlzh_CN
dc.subjectPublic policyzh_CN
dc.titlePromoting carbon emissions reduction in China's chemical process industryzh_CN
dc.typeArticlezh_CN


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