Türkiye’de sektörel seragazı salımının ekonomik büyümeye etkisi

Ali Cem Öztürk; Burcu Yavuz Tiftikçigil

doi:10.15637/jlecon.9.4.03

Authors

Ali Cem Öztürk Independent Researcher/Türkiye 0000-0002-8326-4540
Burcu Yavuz Tiftikçigil Istanbul Medipol University / Türkiye 0000-0001-7422-6086

10.15637/jlecon.9.4.03

Abstract

This study investigates the relationship between total sectoral greenhouse gas emissions and economic growth in Turkey. The study examines the relationship between sectoral total greenhouse gas emissions of energy, industrial processes and product use, agriculture and waste production between 1990-2020 with Turkey’s economic growth. The ARDL model is used to observe the relationship between the greenhouse gas emissions of each sector and economic growth in the long and short term. The Granger causality test evaluates the causal factors affecting economic growth. The study shows a dependence between economic growth and greenhouse gas emissions caused by the agricultural sector in the long term. In contrast, the greenhouse gas emissions caused by the waste sector show a dependence in the short term and in the causality test. Policies addressing the agricultural and the waste sector should be prioritized to ensure that economic growth does not depend on greenhouse gas emissions. There are many studies in the literature on the dependence of economic growth on greenhouse gas emissions in Turkey. This study uses the econometric analysis method to examine the sectoral structure of dependency and will contribute to the literature regarding sectoral determination.

Keywords:

Sectoral Ghg Emissions Economic Growth ARDL Boundary Test Granger Causality

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References

ABID, M. (2015). The close relationship between informal economic growth and carbon emissions in Tunisia since 1980: The (ir)relevance of structural breaks. Sustainable Cities and Society. 15 (2015), 11-21.

AKBOSTANCI, E., TÜRÜT-AŞIK, S., & TUNÇ, G. İ. (2009). The relationship between income and environment in Turkey: Is there an environmental Kuznets curve? Energy Policy, 37(3), 861-867.

ATICI, C. & KURT, F. (2007). Türkiye’nin Dış Ticareti ve Çevre Kirliliği: Çevresel Kuznets Eğrisi Yaklaşımı. Tarım Ekonomisi Dergisi . 13 (1 ve 2) , 61-69.

BAŞAR, S. & TEMURLENK, M.S. (2007). Çevreye uyarlanmış Kuznets eğrisi: Türkiye üzerine bir uygulama. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi. 21(1), 1-12.

BEŞER, M. K. & BEŞER, B. H. (2017). The Relationship between Energy Consumption, CO2 Emissions and GDP per Capita: A Revisit of the Evidence from Turkey. The Journal of Operations Research, Statistics, Econometrics and Management Information Systems. 5 (3), 353-368.

CARSON, R., JEON, Y., & MCCUBBIN, D. (1997). The relationship between air pollution emissions and income: USA data. Environment and Development Economics, 2(4), 433-450.

ÇETİNTAŞ, H. & SARIKAYA, M. (2015). CO2 Emissions, Energy Consumption and Economic Growth in the USA and the United Kingdom:ARDL Approach. C.Ü. İktisadi ve İdari Bilimler Dergisi, 16(2), 173-194.

WORLDBANK.(2022).Ekonomik Büyüme Verileri (1990- 2020). GDP(Current US$) Turkey, Retrieved from https://data.worldbank.org/indicator/NY.GDP. MKTP.CD?locations=TR&view=chart [Erişim Tarihi:03/07/2022 ]

GROSSMAN, G. M. & KRUEGER, A. B. (1991). Environmental Impacts of the North American Free Trad Agreement. NBER Working paper, 3914.

GROSSMAN, G.M. & KRUEGER, A.B. (1995). Economic environment and the economic growth.Quarterly Journal of Economics. 110(2), 353-377.

IŞIK,N., ENGELOĞLU, Ö., & KILINÇ, E. C.(2015). Kişi Başına Gelir İle Çevre Kirliliği Arasındaki İlişki: Gelir Seviyesine Göre Ülke Grupları İçin Çevresel Kuznets Eğrisi Uygulaması. AKÜ İİBF Dergisi, 17(2), 107–125.

KASPEROWICZ, R. (2015). Economic growth and CO2 emissions: the ECM analysis. Journal of International Studies, 8 (3) , 91-98.

KOÇAK, E. (2014). Türkiye’de Çevresel Kuznets Eğrisi Hipotezinin Geçerliliği: ARDL Sınır Testi Yaklaşımı. İşletme ve İktisat Çalışmaları Dergisi. 2(3), 62-73.

LEBE, F.(2015). Çevresel Kuznets Eğrisi Hipotezi: Türkiye için Eşbütünleşme ve Nedensellik Analizi . Doğuş Üniversitesi Dergisi.17 (2) , 177-194).

LOTFALIPOUR, M. R., FALAHI, M.A., & ASHENA, M. (2010) . Economic growth, CO2 emissions, and fossil fuels consumption in Iran. Energy, 35 (12), 5115- 5120.

NARAYAN, P. K. & SMYTH, R. (2006). What Determines Migration Flows From Low-Income to High Income Countries? An Empirical Investigation of Fiji-U.S. Migration 1972-2001. Contemporary Economic Policy, 24 (2), 332-342.

ÖZTÜRK, İ. & ACARAVCI, A. (2010). CO2 emissions, energy consumption and economic growth in Turkey. Renewable and Sustainable Energy Reviews. 14(9),3220-225.

PANAYOTOU, T. (1993). Empirical tests and policy analysis of environmental degradation at different stages of economic development. ILO Technology and Employment Programme Working Paper, WP238.

PAO, H.T. & TSAI, C.M. (2011). Modeling and forecasting the CO2 emissions, energy consumption,and economic growth in Brazil . Energy,36,2450–2458.

R Core Team (2022). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.https://www.R-project.org/.

TÜİK.(2022). Sektörlere Göre Toplam Sera Gazı Emisyonları (Milyon Ton CO2 Eşdeğeri) Datası (1990-2020).

https://data.tuik.gov.tr/Bulten/Index?p=Sera-Gazi-Emisyon-Istatistikleri-1990-2020-45862[Erişim Tarihi:03/07/2022 ]

SOYTAŞ, U., SARI, R., & EWING, B.T. (2007). Energy Consumption, Income and Carbon Emissions in the United States. Ecological Economics. 62, 482-489.

TORRAS, M. & BOYCE, J.K. (1998). Income, Inequality, and Pollution: A Reassessment of the Environmental Kuznets Curve. Ecological Economics. 25(2),147- 160.

WANG, S.S., ZHOU,D.Q., ZHOU,P., & WANG,Q.W.(2011). CO2 emissions, energy consumption and economic growth in China: A panel data analysis. Energy Policy. 39 (9), 4870-4875.

WICKHAM, H., CHANG, W., & WICKHAM, M. H. (2016). Package ‘ggplot2’. Create elegant data visualisations using the grammar of graphics. Version. 2(1), 1-189.

ZEILEIS, A. & HOTHORN.T. ( 2002) . Diagnostic checking in regression relationships. R News 2:7–10. http://cran.R-project.org/doc/ Rnews/.