The Relationship between Energy Use, GDP, Carbon Dioxide Emissions, Population, Financial Development, and Industrialization: The Case of Turkey
Esra Ball? (),
Salih Çam (),
Müge Manga () and
Çiler Sigeze ()
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Esra Ball?: Çukurova University
Salih Çam: Çukurova University
Müge Manga: Çukurova University
Çiler Sigeze: Çukurova University
No 4607826, Proceedings of International Academic Conferences from International Institute of Social and Economic Sciences
Abstract:
This study investigates the relationship between energy use, GDP, carbon dioxide emissions, population, financial development, and industrialization utilizing ARDL and artificial neural network for Turkey. The data covers the period from 1968 to 2013. The study performed a two stage analysis. At the first stage, we examined the long run relationship and causality between variables. The variables are found to be cointegrated. The Granger causality test results shows that there is a unidirectional causality running from energy use to both carbon dioxide emissions and industrialization. According to the artificial neural network results, the most important effect on energy use comes from GDP. The predicted energy use from 1968 to 2013 has maximum absolute error of % 11. 31 and minimum absolute error of %0.07. Neural network evidence shows that the R-square coefficient is 98% for the sample period.
Keywords: Energy use; ARDL; Neural network; Turkey (search for similar items in EconPapers)
JEL-codes: C10 C22 Q43 (search for similar items in EconPapers)
Pages: 1 page
Date: 2017-07
New Economics Papers: this item is included in nep-ara, nep-big, nep-cmp, nep-ene and nep-env
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Published in Proceedings of the Proceedings of the 31st International Academic Conference, London, Jul 2017, pages 52-52
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https://iises.net/proceedings/31st-international-a ... =46&iid=009&rid=7826 First version, 2017
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Persistent link: https://EconPapers.repec.org/RePEc:sek:iacpro:4607826
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