Yenilenebilir Enerji Tüketimi ve Finansal Gelişme İlişkisi: Seçilmiş OECD Ülkeleri Örneği

Dünyada artan yenilenemeyen enerji kullanımı küresel ısınma, hava kirliliği ve iklim değişikliği gibi birçok kalıcı çevre sorununa neden olur. Ülkeler yenilenemeyen enerji tüketiminin yarattığı olumsuzluklardan dolayı yenilenebilir enerji kaynaklarına yönelmektedir. Yenilenebilir enerji, yenilenemeyen enerjiye göre daha temiz, daha güvenli ve tükenmeyen bir enerji türüdür. Ayrıca yenilenebilir enerji uluslararası enerji piyasalarına olan bağlılığı da azaltacaktır. Bu nedenle ülkeler yenilenebilir enerji tüketim miktarını artıracak projeler üretmektedir. Yenilenebilir enerji projeleri yüksek başlangıç maliyetleri sonucu gerçekleşebilir. Ülkelerde yenilenebilir enerji tüketiminin artması bu yatırımların yapılabilirliğine bağlıdır. Yenilenebilir enerjiyi teşvik edecek uygun bir ortam yaratmak için gelişmiş bir finansal sisteme ihtiyaç vardır. Çalışmanın amacı, OECD ülkelerinde yenilenebilir enerji tüketimi (YET) ile finansal gelişme arasındaki nedenselliğin yönünü ampirik olarak incelemektir. Bu amaçla çalışmada Dumitrescu ve Hurlin (2012) panel nedensellik testi kullanılmıştır. Çalışmanın panel sonuçları doğrultusunda YET ile finansal gelişme arasında karşılıklı bir nedensellik ilişkisi olduğu tespit edilmiştir. Ülke spesifik sonuçları incelendiğinde Macaristan’da finansal gelişme ile YET arasında çift yönlü nedensellik tespit edilmiştir. Almanya, Yunanistan, Letonya ve Meksika’da finansal gelişmeden YET’e doğru tek yönlü nedensellik ilişkisi olduğu tespit edilirken, Finlandiya, Litvanya, Polonya ve İspanya’da YET’den finansal gelişmeye doğru tek yönlü nedensellik ilişkisi olduğu tespit edilmiştir.

Renewable Energy Consumption and Financial Development Relationship: Evidence Selected OECD Countries

The increasing use of non-renewable energy many permanent environmental problems such as global warming, air pollution, and climate change. Countries are turning to renewable energy sources due to the harmful effects of non-renewable energy consumption. Renewable energy (RE) is a cleaner, safer, and inexhaustible energy type than non-RE. In addition, RE will reduce reliance on international energy markets. For this reason, countries produce projects that will increase the amount of RE consumption. RE projects can be realized as a result of high initial costs. The increase in RE consumption in countries depends on the feasibility of these investments. A developed financial system is needed to create an enabling environment to promote RE. The aim of the paper is to empirically examine the direction of causality between RE consumption and financial development (FIND) in OECD countries. For this purpose, Dumitrescu and Hurlin (2012) panel causality test was used in the study. According to the panel results in the study, it has been determined that there is a bidirectional causal relationship between RE consumption and FIND. When country-specific results are examined, bidirectional causality between FIND and RE consumption in Hungary has been identified. In Germany, Greece, Latvia, and Mexico, it has been determined that there is a unidirectional causal relationship from FIND to RE consumption, while in Finland, Lithuania, Poland, and Spain, there is a unidirectional causal relationship from RE consumption to FIND.

___

  • Ali, Q., Khan, M. T. I., & Khan, M. N. I. (2018). Dynamics Between Financial Development, Tourism, Sanitation, Renewable Energy, Trade and Total Reserves in 19 Asia Cooperation Dialogue Members, Journal of Cleaner Production, 179, 114-131. https://doi.org/10.1016/j.jclepro.2018.01.066
  • Anton, S. G., & Nucu, A. E. A. (2020). The Effect of Financial Development on Renewable Energy Consumption. A Panel Data Approach, Renewable Energy, 147, 330-338. https://doi.org/10.1016/j.renene.2019.09.005
  • Best, R. (2017). Switching Towards Coal or Renewable Energy? The Effects of Financial Capital on Energy Transitions, Energy Economics, 63, 75-83. https://doi.org/10.1016/j.eneco.2017.01.019
  • Breusch, T. S., & Pagan, A. R. (1980). The Lagrange Multiplier Test and Its Applications to Model Specification in Econometrics, The review of economic studies, 47(1), 239-253. https://doi.org/2297111
  • Brunnschweiler, C. N. (2010). Finance for Renewable Energy: An Empirical Analysis of Developing and Transition Economies, Environment and development economics, 241-274. https://doi.org/10.1017/S1355770X1000001X
  • Burakov, D., & Freidin, M. (2017). Financial Development, Economic Growth and Renewable Energy Consumption in Russia, International Journal of Energy Economics and Policy, 7(6), 39-41
  • Charfeddine, L., & Kahia, M. (2019). Impact of Renewable Energy Consumption and Financial Development on CO2 Emissions and Economic Growth in the MENA Region: A Panel Vector Autoregressive (PVAR) Analysis, Renewable Energy, 139, 198-213. https://doi.org/10.1016/j.renene.2019.01.010
  • Cihak, M., Demirgüç-Kunt, A., Feyen, E., & Levine, R. (2012). Benchmarking Financial Systems Around the World. In: The World Bank. https://doi.org/10.1596/1813-9450-6175
  • Dumitrescu, E. I., & Hurlin, C. (2012). Testing for Granger Non-Causality in Heterogeneous Panels, Economic modelling, 29(4), 1450-1460. https://doi.org/10.1016/j.econmod.2012.02.014
  • Eren, B. M., Taspinar, N., & Gokmenoglu, K. K. (2019). The Impact of Financial Development and Economic Growth on Renewable Energy Consumption: Empirical Analysis of India, Science of the Total Environment, 663, 189-197. https://doi.org/10.1016/j.scitotenv.2019.01.323
  • Hassine, M. B., & Harrathi, N. (2017). The Causal Links Between Economic Growth, Renewable Energy, Financial Development and Foreign Trade in Gulf Cooperation Council Countries, International Journal of Energy Economics and Policy, 7(2), 76-85
  • Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for Unit Roots in Heterogeneous Panels, Journal of econometrics, 115(1), 53-74. https://doi.org/10.1016/S0304-4076(03)00092-7
  • Ji, Q., & Zhang, D. (2019). How Much Does Financial Development Contribute to Renewable Energy Growth and Upgrading of Energy Structure in China?, Energy Policy, 128, 114-124. https://doi.org/10.1016/j.enpol.2018.12.047
  • Kutan, A. M., Paramati, S. R., Ummalla, M., & Zakari, A. (2018). Financing Renewable Energy Projects in Major Emerging Market Economies: Evidence in The Perspective of Sustainable Economic Development, Emerging Markets Finance and Trade, 54(8), 1761-1777. https://doi.org/10.1080/1540496X.2017.1363036
  • Levine, R. (1997). Financial Development and Economic Growth: Views and Agenda, Journal of economic literature, 35(2), 688-726.
  • Lin, B., Omoju, O. E., & Okonkwo, J. U. (2016). Factors Influencing Renewable Electricity Consumption in China, Renewable and Sustainable Energy Reviews, 55, 687-696. https://doi.org/10.1016/j.rser.2015.11.003
  • Pesaran, M. H. (2004). General Diagnostic Tests for Cross-Sectional Dependence in Panels, Empirical Economics, 1-38. https://doi.org/10.1007/s00181-020-01875-7
  • Pesaran, M. H. (2007). A Simple Panel Unit Root Test in The Presence of Cross Section Dependence, Journal of applied econometrics, 22(2), 265-312. https://doi.org/10.1002/jae.951
  • Pesaran, M. H., & Yamagata, T. (2008). Testing Slope Homogeneity in Large Panels, Journal of econometrics, 142(1), 50-93. https://doi.org/10.1016/j.jeconom.2007.05.010
  • Pesaran, M. H., Ullah, A., & Yamagata, T. (2008). A Bias Adjusted LM Test of Error Cross Section Independence, The Econometrics Journal, 11(1), 105-127. https://doi.org/10.1111/j.1368- 423X.2007.00227.x
  • Raza, S. A., Shah, N., Qureshi, M. A., Qaiser, S., Ali, R., & Ahmed, F. (2020). Non-Linear Threshold Effect of Financial Development on Renewable Energy Consumption: Evidence from Panel Smooth Transition Regression Approach, Environmental Science and Pollution Research, 1-14. https://doi.org/10.1007/s11356-020-09520-7
  • Razmi, S. F., Bajgiran, B. R., Behname, M., Salari, T. E., & Razmi, S. M. J. (2020). The Relationship of Renewable Energy Consumption to Stock Market Development and Economic Growth in Iran, Renewable Energy, 145, 2019-2024. https://doi.org/10.1016/j.renene.2019.06.166
  • Swamy, P. A. (1970). Efficient Inference in a Random Coefficient Regression Model, Econometrica: Journal of the Econometric Society, 311-323. https://doi.org/1913012
  • U.S. Energy Information Administration (2021). Annual Energy Review. Erişim adresi: https://www.eia.gov/totalenergy/data/annual/index.php, (11.02.2021).
  • Wang, J., Zhang, S., & Zhang, Q. (2021). The Relationship of Renewable Energy Consumption to Financial Development and Economic Growth in China, Renewable Energy, 170, 897-904. https://doi.org/10.1016/j.renene.2021.02.038
  • World Bank (2021). World Bank Financial Development and Structure. Erişim adresi: https://www.worldbank.org/en/publication/gfdr/data/financial-structure-database, (11.02.2021).
  • Wu, L. & Broadstock, C. D. (2015). Does Economic, Financial and Institutional Development Matter for Renewable Energy Consumption? Evidence from Emerging Economies, International Journal of Economic Policy in Emerging Economies, 8(1), 20-39.