EKONOMİK BÜYÜME, EKONOMİK KARMAŞIKLIK, YENİLENEBİLİR ENERJİ TÜKETİMİ VE CO2 EMİSYONU İLİŞKİSİ: TÜRKİYE ÖRNEĞİ

Abstract

Bu çalışmada, Türkiye için 1995 – 2019 yıllarını kapsayan dönemde ekonomik büyüme, ekonomik karmaşıklık ve yenilenebilir enerji tüketimi ile CO2 emisyonu ilişkisi analiz edilerek, ekonomik karmaşıklık ve CO2 emisyonu ilişkisinin Çevresel Kuznets Eğrisi (ÇKE) hipotezi bağlamında incelenmesi amaçlanmaktadır. Çalışma kapsamında analizlerde ARDL (Autoregressive Distributed Lag Bound Test) sınır testi yönteminden yararlanılmıştır. Elde edilen bulgular çerçevesinde ekonomik karmaşıklık kapsamında ÇKE hipotezinin geçerli olmadığı ve ekonomik karmaşıklığın hem kısa hem uzun dönemde CO2 emisyonu üzerinde pozitif etkili olduğu görülmektedir. Ayrıca çalışmada ekonomik büyümenin CO2 emisyonunu artırdığı, yenilenebilir enerji tüketiminin ise CO2 emisyonunu azalttığı sonuçlarına ulaşılmıştır. Analiz sonuçları değerlendirildiğinde ekonomik karmaşıklığın kısa ve uzun dönemde çevresel bozulma üzerinde önemli bir faktör olduğu anlaşılmaktadır. Bu nedenle ekonomik karmaşıklık ile yenilenebilir enerji tüketiminin birlikte ele alınmasının çevresel bozulmalara karşı çözüm üretmek için yararlı olacağı düşünülmektedir. Elde edilen sonuçlar çerçevesinde ekonomik teşvik ve destek programlarında yeşil ekonominin ön planda tutulmasının, ekonomik büyümeyi etkilemeden çevre üzerindeki olumsuz baskının giderilmesine yardımcı olabileceği değerlendirilmektedir.

Keywords

• Sürdürebilir Kalkınma
• Ekonomik Büyüme
• Ekonomik Karmaşılık
• CO2 Emisyonu
• Zaman Serisi Analizi

THE RELATIONSHIP BETWEEN ECONOMIC GROWTH, ECONOMIC COMPLEXITY, RENEWABLE ENERGY CONSUMPTION AND CO2 EMISSION: THE CASE OF TURKEY

Abstract

In this study, it is aimed to analyze the relationship between economic growth, economic complexity and renewable energy consumption and CO2 emission for Turkey in the period covering the years 1995 – 2019, and to examine the relationship between economic complexity and CO2 emission in the context of the Environmental Kuznets Curve (EKC) hypothesis. ARDL (Autoregressive Distributed Lag Bound Test) boundary test method was used in the analysis within the scope of the study. Within the framework of the findings, it is seen that the EKC hypothesis is not valid within the scope of economic complexity and that economic complexity has a positive effect on CO2 emissions both in the short and long term. In addition, in the study, it was concluded that economic growth increased CO2 emissions, while renewable energy consumption decreased CO2 emissions. When the analysis results are evaluated, it is understood that economic complexity is an important factor on environmental degradation in the short and long term. For this reason, it is thought that considering economic complexity and renewable energy consumption together will be beneficial to produce solutions against environmental degradation. Within the framework of the results obtained, it is evaluated that keeping the green economy in the forefront in economic incentive and support programs can help to eliminate the negative pressure on the environment without affecting economic growth.

Keywords

• Sustainable Development
• Economic Growth
• Economic Comlexity
• CO2 Emission
• Time Series Analysis

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