2021
DOI: 10.17065/huniibf.823845
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Üreti̇m Mi̇, Tüketi̇m Mi Beli̇rleyi̇ci̇? 1990-2015 Yillarinda Türkiye Co2 Emisyonlarinin Kaynaklari Ve Poli̇ti̇ka Etki̇leri̇

Abstract: Turkey's CO2 emissions have been steadily increasing since the 1990s. Determining influences of socioeconomic factors behind this increase can help identify which sectors and what types of policies should be prioritized to go into action. This paper identifies the main contributors to CO2 emissions change within five-year intervals during 1990-2015 by adopting the Structural Decomposition Analysis (SDA) method. The results show that CO2 emissions increase was driven by per capita expenditure and population fac… Show more

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Cited by 3 publications
(4 citation statements)
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“…Both studies by Rokicki, Koszela, Ochnio, Golonko, Zak, E.K. Szczepaniuk, H. Szczepaniuk, Perkowska [10] and Alkan and O guş-Binatlı [22] used the method of structural distribution analysis, which, due to the goals of our research, is insufficiently diagnostic. Hence, we chose panel methods due to, firstly: the possibility of using more data, which is important in the conditions of a limited material-spatial scope of research; secondly, wider operationalization of data and taking into account the individual effects under study; thirdly, identification of the causes of the analyzed phenomena and their dynamics on a micro level.…”
Section: The Literature Reviewmentioning
confidence: 98%
See 1 more Smart Citation
“…Both studies by Rokicki, Koszela, Ochnio, Golonko, Zak, E.K. Szczepaniuk, H. Szczepaniuk, Perkowska [10] and Alkan and O guş-Binatlı [22] used the method of structural distribution analysis, which, due to the goals of our research, is insufficiently diagnostic. Hence, we chose panel methods due to, firstly: the possibility of using more data, which is important in the conditions of a limited material-spatial scope of research; secondly, wider operationalization of data and taking into account the individual effects under study; thirdly, identification of the causes of the analyzed phenomena and their dynamics on a micro level.…”
Section: The Literature Reviewmentioning
confidence: 98%
“…They build a novel dataset of deflated input-output tables for each of the 28 EU countries [9], which made it possible to carry out the Analysis of the Structural Distribution of Emissions in European Countries since the Economic Crisis. The Structural Decomposition Analysis was used by Alkan and O guş-Binatlı [22] to determine the factors behind the continuously increasing CO 2 emissions in Turkey. They identified the main contributors to CO 2 emissions change within five-year intervals during 1990-2015 by adopting the Structural Decomposition Analysis method.…”
Section: The Literature Reviewmentioning
confidence: 99%
“…They build a novel dataset of deflated input-output tables for each of the 28 EU countries [9], which made it possible to carry out the Analysis of the Structural Distribution of Emissions in European Countries since the Economic Crisis. The Structural Decomposition Analysis was used by Alkan and Oğuş-Binatlı [22] to determine the factors behind the continuously increasing CO2 emissions in Turkey. They identified the main contributors to CO2 emissions change within five-year intervals during 1990-2015 by adopting the Structural Decomposition Analysis method.…”
Section: The Literature Reviewmentioning
confidence: 99%
“…Both studies by Rokicki, Koszela, Ochnio, Golonko, Zak, E.K. Szczepaniuk, H. Szczepaniuk, Perkowska [10] and Alkan and Oğuş-Binatlı [22] used the method of structural distribution analysis, which, due to the goals of our research, is insufficiently diagnostic. Hence, we chose panel methods due to, firstly: the possibility of using more data, which is important in the conditions of a limited material-spatial scope of research; secondly, wider operationalization of data and taking into account the individual effects under study; thirdly, identification of the causes of the analyzed phenomena and their dynamics on a micro level.…”
Section: The Literature Reviewmentioning
confidence: 99%