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The Relationship between Unemployment Rates and Renewable Energy Consumption: Evidence from Fourier ADL Cointegration Test

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dc.date 2021
dc.date.accessioned 2021-12-24T08:40:33Z
dc.date.available 2021-12-24T08:40:33Z
dc.date.issued 2020-06
dc.identifier.citation . Yılancı Veli, İslamoğlu Emel, Yıldırımalp Sinem, Candan Gökçe (2020). The Relationship between Unemployment Rates and Renewable Energy Consumption: Evidence from Fourier ADL Cointegration Test. The Journal of Operations Research, Statistics, Econometrics and Management Information Systems( Alphanumeric Journal), 8(1), 17-28 en_US
dc.identifier.uri https://hdl.handle.net/20.500.12619/96557
dc.description.abstract Unemployment remains an unsolved problem for both developing and developed countries. Solving this problem is one of the important aims for policymakers. In this study, we try to answer the question that whether new energy technologies create new employment areas or not and help to solve unemployment problem. To this end, we use a recently introduced cointegration test that allows structural breaks whose number, location, and form do not affect the accuracy of the test, to examine the long - term relationship between unemployment rates and renewable energy consumption for selected countries of the Organisation for Economic Co-operation and Development (OECD). The results show that there is a cointegration relationship between the variables for Australia, Austria, Chile, France, Germany, Japan, Mexico, Portugal, Spain and United States. The results show that renewable energy consumption positively affects the unemployment rates for Austria, Portugal, and Spain, while it negatively affects the unemployment rates for Australia, Chile, France, Germany, and Japan en_US
dc.language.iso eng en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Fourier ADL Cointegration Test, Unemployment, Renewable Energy Consumption en_US
dc.title The Relationship between Unemployment Rates and Renewable Energy Consumption: Evidence from Fourier ADL Cointegration Test en_US
dc.type article en_US
dc.contributor.authorID 0000-0003-0171-5916 en_US
dc.identifier.volume 8 en_US
dc.identifier.startpage 17 en_US
dc.identifier.endpage 28 en_US
dc.contributor.department Sakarya Üniversitesi, Siyasal Bilgiler Fakültesi, Çalışma Ekonomisi ve Endüstri İlişkileri en_US
dc.relation.journal The Journal of Operations Research, Statistics, Econometrics and Management Information Systems en_US
dc.identifier.issue 1 en_US
dc.contributor.author Yılancı, Veli
dc.contributor.author İslamoğlu, Emel
dc.contributor.author Yıldırımalp, Sinem
dc.contributor.author Candan, Gökçe


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