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dc.contributor.advisorTaşkın, Fatma
dc.contributor.authorAdibfar, Behzad
dc.date.accessioned2019-09-17T12:51:04Z
dc.date.available2019-09-17T12:51:04Z
dc.date.copyright2019-09en_US
dc.date.issued2019-09en_US
dc.date.submitted2019-09-13en_US
dc.identifier.urihttp://hdl.handle.net/11693/52445
dc.descriptionCataloged from PDF version of article.en_US
dc.descriptionThesis (M.S.): Bilkent University, Graduate Program in Energy Economics, Policy and Security, İhsan Doğramacı Bilkent University, 2019.en_US
dc.descriptionIncludes bibliographical references (leaves 61-63).en_US
dc.description.abstractThis thesis estimates the relative productive efficiency of Turkish wind farms to discover their inefficiency reasons using a two-stage Data Envelopment Analysis (DEA). We choose three input variables and two output variables to conduct 4 different DEA models including input- and output- oriented CCR (Charnes, Cooper, Rhodes) and BCC (Banker, Charnes, Cooper) models. Sensitivity analysis is applied to DEA results to ensure the stability and robustness of the four models. In the second stage Tobit regression models are utilized to explore the exogenous factor that affect the efficiency of Turkish wind farm. DEA results indicate that 40% of Turkish wind farms were operating at preferable levels during 2017. Moreover, 42% of the wind farms should increase their operation levels by adding new installations, and 46% should decrease their capacity due to overinvestments. The sensitivity analysis confirms the robustness of DEA models in this thesis and reveals that amount of electricity generation as an output has substantial impact on the DEA results. Finally, Tobit regression results indicate age and site elevation do not have significant effect on the efficiency of Turkish wind farms. Furthermore, using Tobit regression, we discovered that Chinese and Indian made turbines have negative effect on the performance of Turkish wind farms.en_US
dc.format.extentviii, 63 leaves : illustrations ; 30 cm.en_US
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectData Envelopment Analysis (DEA)en_US
dc.subjectProductive efficiencyen_US
dc.subjectTobit regressionen_US
dc.subjectWind farmsen_US
dc.titleProductive efficiency of Turkish wind farms: a two-stage data envelopment analysisen_US
dc.title.alternativeTürkiye rüzgar enerji santrallerinin üretken verimliliği: bir iki-kademeli veri zarflama analizien_US
dc.typeThesisen_US
dc.departmentGraduate Program in Energy Economics, Policy and Securityen_US
dc.publisherBilkent Universityen_US
dc.description.degreeM.S.en_US
dc.identifier.itemidB109497


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