Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/61007
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dc.contributor.authorSupawat Rungsuriyawiboonen_US
dc.contributor.authorSpiro E. Stefanouen_US
dc.date.accessioned2018-09-10T04:02:44Z-
dc.date.available2018-09-10T04:02:44Z-
dc.date.issued2007-04-01en_US
dc.identifier.issn07350015en_US
dc.identifier.other2-s2.0-34248575832en_US
dc.identifier.other10.1198/073500106000000288en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=34248575832&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/61007-
dc.description.abstractThe shadow cost approach is developed in the context of the dynamic duality model of intertemporal decision making to formulate theoretical and econometric models of dynamic efficiency. The dynamic efficiency model is applied to a panel of 72 U.S. major investor-owned electric utilities using fossil fuel-fired steam electric power generation over the period 1986-1999. The major results show that most electric utilities underutilized fuel relative to the aggregated labor and the maintenance input, and overutilized capital in production. States adopting a deregulation plan improve the performance of utilities in terms of the technical efficiency of variable inputs. © 2007 American Statistical Association.en_US
dc.subjectDecision Sciencesen_US
dc.subjectEconomics, Econometrics and Financeen_US
dc.subjectMathematicsen_US
dc.subjectSocial Sciencesen_US
dc.titleDynamic efficiency estimation: An application to U.S. electric utilitiesen_US
dc.typeJournalen_US
article.title.sourcetitleJournal of Business and Economic Statisticsen_US
article.volume25en_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsPennsylvania State Universityen_US
Appears in Collections:CMUL: Journal Articles

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