Journals / Journal of Life Economics / 2021 / Cilt: 8 - Sayı: 4

Analysis of the relationship between innovation, CO2 emission and renewable energy in Turkey

Pages
513–521
Publication Date
2021-10-31
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

According to Bayer-Hanck (2012) cointegration test, it was concluded that the variables are cointegrated in the long run.

📌 3 Key Takeaways

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Objective & Hypothesis:Due to rapid technological development and increase in economic activities, environmental problems such as global warming and climate change, CO2 emission, environmental pollution are among significant global issues.
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Key Findings & Data:In this study, the relationship between innovation, CO2 emissions and renewable energy for the 1990-2019 period for Turkey was examined and analyzed with Bayer-Hanck (2012) cointegration test together with Toda-Yamamoto (1995) and Hacker-Hatemi-J (2006) causality tests.
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Conclusion & Impact:According to Bayer-Hanck (2012) cointegration test, it was concluded that the variables are cointegrated in the long run.
🔬Design:Research Article
📍Scope:2019 Verileri
⚙️Variables:Innovation · Co2 Emissions · Renewable Energy

Abstract

Due to rapid technological development and increase in economic activities, environmental problems such as global warming and climate change, CO2 emission, environmental pollution are among significant global issues. In recent years, Eco-innovations, which are intended to benefit the environment and contribute to environmental sustainability, bring energy by saving technology, adding a new dimension to the concept of innovation as well as bringing its environmentalist face to the fore. In this study, the relationship between innovation, CO2 emissions and renewable energy for the 1990-2019 period for Turkey was examined and analyzed with Bayer-Hanck (2012) cointegration test together with Toda-Yamamoto (1995) and Hacker-Hatemi-J (2006) causality tests. According to Bayer-Hanck (2012) cointegration test, it was concluded that the variables are cointegrated in the long run. In line with the overlapping findings of the causality analyses of Toda Yamamoto (1995) and Hacker-Hatemi-J (2006), it was concluded that there is a one-way causality relationship from CO2 emissions to renewable energy consumption.

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Cite This Article

İNANÇLI, S., TORUSDAĞ, M. (2021). Analysis of the relationship between innovation, CO2 emission and renewable energy in Turkey. Journal of Life Economics, Cilt: 8 - Sayı: 4, 513–521. https://ajindex.com/articles/866220

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References (17)

  1. AKYUZ, H. (2018). Statistical Analysis of Climatic Variables with Vector Autoregression (VAR) Model. International Journal of Engineering Research and Development, 10(2), 183-192.
  2. APERGIS, N. & OZTURK I. (2015). Testing Environmental Kuznets Curve Hypothesis in Asian Countries. Ecological Indicators, 52: 16–22.
  3. ARI, A. (2016). Analysis of the Relationship between Economic Growth and Unemployment in Turkey: A New Cointegration Test. Journal of Politics, Economics and Management Studies, 4(2): 57-67.
  4. ASSI A.F., ISIKSAL A.Z. & TURSOY, T. (2021).
  5. Renewable Energy Consumption, Financial Development, Environmental Pollution, and Innovations in the ASEAN + 3 Group: Evidence from (P-ARDL) Model. Renewable Energy, 165, 689-700.
  6. BAYER, C. & HANCK, C. (2012). Combining Non-Cointegration Tests. Journal of Time Series Analysis, 34 (1), 83-95.
  7. BAYRAMOGLU, T. (2018).
  8. Energy and Innovation, Imaj Publishing House, Ankara.
  9. BANERJEE, A., DOLADO J. & MESTRE, R. (1998). Error-Correction Mechanism Tests for Cointegration in a Single-Equation Framework. Journal of Time Series Analysis, 19 (3), 267-283.
  10. BAEK, J. (2016). Do Nuclear and Renewable Energy Improve the Environment? Empirical Evidence from the United States. Ecol. Indic. 66, 352-356.
  11. BOLUK, G. & Mert, M. (2014). Fossil & Renewable Energy Consumption, GHGs (Greenhouse Gases) and Economic Growth: Evidence from A Panel of EU (European Union) Countries. Energy, 74, 439-446.
  12. BOSWIJK, P., H. (1994). Testing for an Unstable Root in Conditional and Unconditional Error Correction Models. Journal of Econometrics, 63, 37–60.
  13. BULUT, U., (2017). The Impacts of Non-renewable and renewable energy on CO2 Emissions in Turkey. Environmental Science and Pollution Research, 24, 15416-15426.
  14. CAGLAR, A., E. & Mert M. (2017). The Environmental Kuznets Hypothesis and the Effect of Renewable Energy Consumption on Carbon Emissions in Turkey: Co-integration with Structural Breaks. Management and Economics: Journal of Celal Bayar University Faculty of Economics and Administrative Sciences, 24(1), 21-38.
  15. CANBAY, S. (2019). Effects of Economic Growth and Renewable Energy Consumption on Environmental Pollution in Turkey. Journal of Finance, 176, 140-151.
  16. CALISKAN, S, KARABACAK M & MECIK, O. (2017). Relation between Education Expenditure and Economic Growth in Turkish Economy: Bootstrap Toda-Yamamoto Causality Test Approach. Kocaeli University Journal of Social Sciences, (33), 45-56.
  17. CHEN, YU-SHAN, SHYH-BAO L. & CHAO-TUNG, W. (2006). The Influence of