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Relationship Between the Use of Renewable Energy, Carbon Dioxide Emission, and Economic Growth: An Empirical Application on Turkey

Relationship Between the Use of Renewable Energy, Carbon Dioxide Emission, and Economic Growth: An Empirical Application on Turkey

Ferhat Özbay, Ceren Pehlivan
Copyright: © 2021 |Pages: 17
ISBN13: 9781799883357|ISBN10: 1799883353|ISBN13 Softcover: 9781799883364|EISBN13: 9781799883371
DOI: 10.4018/978-1-7998-8335-7.ch020
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MLA

Özbay, Ferhat, and Ceren Pehlivan. "Relationship Between the Use of Renewable Energy, Carbon Dioxide Emission, and Economic Growth: An Empirical Application on Turkey." Handbook of Research on Strategic Management for Current Energy Investments, edited by Serhat Yüksel and Hasan Dinçer, IGI Global, 2021, pp. 339-355. https://doi.org/10.4018/978-1-7998-8335-7.ch020

APA

Özbay, F. & Pehlivan, C. (2021). Relationship Between the Use of Renewable Energy, Carbon Dioxide Emission, and Economic Growth: An Empirical Application on Turkey. In S. Yüksel & H. Dinçer (Eds.), Handbook of Research on Strategic Management for Current Energy Investments (pp. 339-355). IGI Global. https://doi.org/10.4018/978-1-7998-8335-7.ch020

Chicago

Özbay, Ferhat, and Ceren Pehlivan. "Relationship Between the Use of Renewable Energy, Carbon Dioxide Emission, and Economic Growth: An Empirical Application on Turkey." In Handbook of Research on Strategic Management for Current Energy Investments, edited by Serhat Yüksel and Hasan Dinçer, 339-355. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-8335-7.ch020

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Abstract

The study aims to examine the relationship between the use of renewable energy, CO2, and GDP per capita. In this study that has been carried out on Turkey for the period 1990-2018, time series analysis is used. The long-term relationship between variables is revealed by the cointegration test. The periodic changes of the variables are examined by the variance decomposition and impulse-response function. Finally, with the causality test, the relationship between variables and the direction of this relationship are revealed. Findings show that there is a cointegrated relationship between the variables.. According to variance decomposition in the period of 10 lags, the renewable energy variance is 96% due to itself, 2.74% to CO2, and 0.50% to shocks in per capita GDP. As for impact-response functions, while the response of renewable energy to the GDP per capita variable is negative in the first two periods, it increase slightly in the following period, and after the sixth period, the effect of the shock diminished.

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