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dc.contributor.authorHonma, Satoshien_US
dc.contributor.authorHu, Jin-Lien_US
dc.date.accessioned2015-07-21T11:20:59Z-
dc.date.available2015-07-21T11:20:59Z-
dc.date.issued2014-12-15en_US
dc.identifier.issn0360-5442en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.energy.2014.10.066en_US
dc.identifier.urihttp://hdl.handle.net/11536/124069-
dc.description.abstractUsing the stochastic frontier analysis model, we estimate TFEE (total-factor energy efficiency) scores for 47 regions across Japan during the years 1996-2008. We extend the cross-sectional stochastic frontier model proposed by Zhou et al. (2012) to panel data models and add environmental variables. The results provide not only the TFEE scores, in which statistical noise is taken into account, but also the determinants of inefficiency. The three stochastic TFEE scores are compared with a TFEE score derived using data envelopment analysis. The four TFEE scores are highly correlated with one another. For the inefficiency estimates, higher manufacturing industry shares and wholesale and retail trade shares correspond to lower TFEE scores. (C) 2014 Elsevier Ltd. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectStochastic frontier analysisen_US
dc.subjectData envelopment analysisen_US
dc.subjectTFEE (total-factor energy efficiency)en_US
dc.subjectPanel dataen_US
dc.subjectShephard distance functionsen_US
dc.titleA panel data parametric frontier technique for measuring total-factor energy efficiency: An application to Japanese regionsen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.energy.2014.10.066en_US
dc.identifier.journalENERGYen_US
dc.citation.volume78en_US
dc.citation.spage732en_US
dc.citation.epage739en_US
dc.contributor.department經營管理研究所zh_TW
dc.contributor.departmentInstitute of Business and Managementen_US
dc.identifier.wosnumberWOS:000347579200071en_US
dc.citation.woscount0en_US
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