ENERJİ İTHALATÇISI YÜKSELEN EKONOMİLERDE YENİLENEBİLİR ENERJİ KULLANIMI VE EKEONMİK BÜYÜME ARASINDAKİ İLİŞKİ

Year 2022, , 818 - 836, 27.12.2022

Mustafa Naimoğlu

https://doi.org/10.17065/huniibf.1064742

Abstract

Öz
Bu çalışma, 1990-2018 döneminde 16 enerji ithal eden ülke için yenilenebilir enerji kullanımı ile ekonomik büyüme arasındaki ilişkiyi incelemektedir. Bu ekonomiler son 29 yılda yenilenebilir enerji kullanımlarını %556,21, toplam GSYH'lerini %466,19 ve toplam enerji ithalatlarını %388,96 artırarak dikkatleri üzerine çekmiştir. Bu nedenle bu çalışmada enerji ithal eden 16 ülke için yıllık reel GSYİH, reel brüt sermaye, işgücü ve yenilenebilir enerji kullanımı verileri kullanılarak uzun vadeli ilişki araştırılmaktadır. Serilerin durağanlığını belirlemek için öncelikle birim kök testleri kullanılmaktadır. Daha sonra eşbütünleşme ilişkisi heterojen panel eşbütünleşme testi ile test edilmiş ve eşbütünleşme ilişkisi bulunmuştur. Çalışma, incelenen tüm değişkenlerin pozitif ve istatistiksel olarak anlamlı katsayılara sahip olduğunu bulmuştur. Ayrıca çalışmada kullanılan hata düzeltme modeli hem kısa hem de uzun dönemde ekonomik büyümeden yenilenebilir enerji kullanımına doğru tek yönlü bir nedensellik olduğunu göstermiştir. Bu, ekonomik büyüme ve yenilenebilir enerji kullanımının birbirine bağlı olduğunu öne süren koruma hipotezini desteklemektedir. Dolayısıyla çalışmanın sonuçları, bu ülkelerde enerji kullanımını azaltmaya yönelik herhangi bir politikanın ekonomik büyümeye zarar vermeyeceğini göstermektedir.

Keywords

: Yenilenebilir enerji kullanımı, Büyüme, Panel Eşbütünleşme, Nedensellik, Enerji ithalatçısı yükselen ekonomiler, : Yenilenebilir enerji kullanımı, Büyüme, Panel Eşbütünleşme, Nedensellik, Enerji ithalatçısı yükselen ekonomiler, The Relationship Between Renewable Energy Use and Economic Growth for Energy Importing Emerging Economies

THE RELATIONSHIP BETWEEN RENEWABLE ENERGY USE AND ECONOMIC GROWTH FOR ENERGY IMPORTING EMERGING ECONOMIES

Abstract

This study examines the relationship between renewable energy use and economic growth for 16 energy-importing countries for the period 1990-2018. These economies have attracted attention in the last 29 years by increasing their use of renewable energy by 556.21%, their total GDP by 466.19% and their total energy imports by 388.96%. Therefore, in this study, the long-term relationship is investigated by using annual data of real GDP, real gross capital, labor, and renewable energy use for 16 energy-importing countries. Firstly, unit root tests are used to determine the stationarity of the series. Then, the cointegration relationship was tested with a heterogeneous panel cointegration test and the cointegration relationship was found. The study found that all of the variables examined had positive and statistically significant coefficients. Additionally, the error correction model used in the study indicated that there is unidirectional causality from economic growth to renewable energy use in both the short and long term. This supports the conservation hypothesis, which suggests that economic growth and renewable energy use are interdependent. Therefore, the study's results suggest that any policies aimed at reducing energy use in these countries will not harm economic growth.

Keywords

Renewable energy use, Growth, Panel Cointegration, Causality, Energy-importing emerging economies, Renewable energy use, Growth, Panel Cointegration, Causality, Energy-importing emerging economies

References

• Ağır, H., Kar, M., & Nazlıoğlu, Ş. (2011). Do remittances matter for financial development in the MENA region? Panel cointegration and causality analysis. Empirical Economics Letters, 10(5), 449-456.
• Akal, M. (2015). A VARX Modelling of Energy Intensity Interactions Between China, the United States, Japan and EU. OPEC Energy Review, 39(1), 103-124. https://doi.org/10.1111/opec.12044
• Akal, M. (2016a). Modeling of energy intensity in Turkey. Energy Sources, Part B: Economics, Planning and Policy, 11(9), 807-814. https://doi.org/10.1080/15567249.2013.802829
• Akal, M. (2016b). Modeling world energy use efficiency, price, and GDP. Energy Sources, Part B: Economics, Planning, and Policy, 11(10), 911-919. https://doi.org/10.1080/15567249.2012.741185
• Akdag, S., & Yıldırım, H. (2020). Toward a sustainable mitigation approach of energy efficiency to greenhouse gas emissions in the European countries. Heliyon, 6(3), e03396. https://doi.org/10.1016/j.heliyon.2020.e03396
• Alola, A. A., Alola, U. V., Akdag, S., & Yildirim, H. (2022). The role of economic freedom and clean energy in environmental sustainability: implication for the G-20 economies. Environmental Science and Pollution Research, 29(24), 36608-36615. https://doi.org/10.1007/s11356-022-18666-5
• Alola, A. A., & Yildirim, H. (2019). The renewable energy consumption by sectors and household income growth in the United States. International Journal of Green Energy, 16(15), 1414-1421. https://doi.org/10.1080/15435075.2019.1671414
• Alper, A., & Oguz, O. (2016). The role of renewable energy consumption in economic growth: Evidence from asymmetric causality. Renewable and Sustainable Energy Reviews, 60, 953-959. https://doi.org/10.1016/j.rser.2016.01.123
• Apergis, N., & Payne, J. E. (2012). Renewable and non-renewable energy consumption-growth nexus: Evidence from a panel error correction model. Energy Economics, 34(3), 733-738. https://doi.org/10.1016/j.eneco.2011.04.007
• Apergis, N., & Payne, J. E. (2009). Energy consumption and economic growth in Central America: evidence from a panel cointegration and error correction model. Energy Economics, 31(2), 211-216. https://doi.org/10.1016/j.eneco.2008.09.002
• Apergis, N., & Payne, J. E. (2010). Renewable energy consumption and economic growth: evidence from a panel of OECD countries. Energy Policy, 38(1), 656-660. https://doi.org/10.1016/j.enpol.2009.09.002
• Apergis, N., & Payne, J. E. (2011). Renewable and non-renewable electricity consumption–growth nexus: evidence from emerging market economies. Applied Energy, 88(12), 5226-5230. https://doi.org/10.1016/j.apenergy.2011.06.041
• Bai, J., & Ng, S. (2010). Panel unit root tests with cross-section dependence: a further investigation. Econometric Theory, 26(4), 1088-1114. https://doi.org/10.1017/S0266466609990478
• Behboodi, S., Chassin, D. P., Crawford, C., & Djilali, N. (2016). Renewable resources portfolio optimization in the presence of demand response. Applied Energy, 162, 139-148. https://doi.org/10.1016/j.apenergy.2015.10.074
• Bhattacharya, M., Paramati, S. R., Ozturk, I., & Bhattacharya, S. (2016). The effect of renewable energy consumption on economic growth: Evidence from top 38 countries. Applied Energy, 162, 733-741. https://doi.org/10.1016/j.apenergy.2015.10.104
• Bilgili, F., & Ozturk, I. (2015). Biomass energy and economic growth nexus in G7 countries: Evidence from dynamic panel data. Renewable and Sustainable Energy Reviews, 49, 132-138. https://doi.org/10.1016/j.rser.2015.04.098
• 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/10.2307/2297111
• Bulavskaya, T., & Reynès, F. (2018). Job creation and economic impact of renewable energy in the Netherlands. Renewable Energy, 119, 528-538. https://doi.org/10.1016/j.renene.2017.09.039
• Bulut, U., & Muratoglu, G. (2018). Renewable energy in Turkey: Great potential, low but increasing utilization, and an empirical analysis on renewable energy-growth nexus. Energy policy, 123, 240-250. https://doi.org/10.1016/j.enpol.2018.08.057
• Caraiani, C., Lungu, C. I., & Dascălu, C. (2015). Energy consumption and GDP causality: A three-step analysis for emerging European countries. Renewable and Sustainable Energy Reviews, 44, 198-210. https://doi.org/10.1016/j.rser.2014.12.017
• Chang, J., Leung, D. Y., Wu, C. Z., & Yuan, Z. H. (2003). A review on the energy production, consumption, and prospect of renewable energy in China. Renewable and Sustainable Energy Reviews, 7(5), 453-468. https://doi.org/10.1016/S1364-0321(03)00065-0
• Chang, T., Gupta, R., Inglesi-Lotz, R., Simo-Kengne, B., Smithers, D., & Trembling, A. (2015). Renewable energy and growth: Evidence from heterogeneous panel of G7 countries using Granger causality. Renewable and Sustainable Energy Reviews, 52, 1405-1412. https://doi.org/10.1016/j.rser.2015.08.022
• Chatzizacharia, K., Benekis, V., & Hatziavramidis, D. (2016). A blueprint for an energy policy in Greece with considerations of climate change. Applied Energy, 162, 382-389. https://doi.org/10.1016/j.apenergy.2015.10.087
• Chen, C., Pinar, M., & Stengos, T. (2020). Renewable energy consumption and economic growth nexus: Evidence from a threshold model. Energy Policy, 139, 111295. https://doi.org/10.1016/j.enpol.2020.111295
• Chen, Y. E., Fu, Q., Zhao, X., Yuan, X., & Chang, C. P. (2019). International sanctions’ impact on energy efficiency in target states. Economic Modelling, 82, 21-34. https://doi.org/10.1016/j.econmod.2019.07.022
• ETKB. (2017). Dünya ve Türkiye Enerji ve Tabii Kaynaklar Görünümü. Strateji Geliştirme Başkanlığı. Retrieved 01 January 2017 from http://www.enerji.gov.tr/Resources/Sites/1/Pages/Sayi_15/mobile/ index.html
• FAOSTAT. (2021). Temperature Change. Food and Agriculture Organization of the United Nations. Retrieved 15 July 2021 from https://www.fao.org/
• Gürler, A. Z., Budak, D. B., Ayyıldız, B., & Kaplan, U. E. (2020). Enerji ekonomisi. Nobel Akademik Yayıncılık, Ankara.
• IEA. (2021). Data and Statistics. Internatıonal Energy Agency. Retrieved 15 July 2021 from https://www.iea.org/
• 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
• IMF. (2015). World Economic Outlook. International Monetary Fund. Retrieved 15 July 2021 from https://www.İmf.Org/External/Pubs/Ft/Weo/2015/02/Pdf/Text.Pdf
• Inglesi-Lotz, R. (2016). The impact of renewable energy consumption to economic growth: A panel data application. Energy economics, 53, 58-63. https://doi.org/10.1016/j.eneco.2015.01.003
• Joyeux, R., & Ripple, R. D. (2011). Energy consumption and real income: A panel cointegration multi-country study. The Energy Journal, 32(2). https://doi.org/10.5547/ISSN0195-6574-EJ-Vol32-No2-5
• Lee, C. C., & Chang, C. P. (2008). Energy consumption and economic growth in Asian economies: a more comprehensive analysis using panel data. Resource and energy Economics, 30(1), 50-65. https://doi.org/10.1016/j.reseneeco.2007.03.003
• Levin, A., Lin, C. F., & Chu, C. S. J. (2002). Unit root tests in panel data: asymptotic and finite-sample properties. Journal of econometrics, 108(1), 1-24. https://doi.org/10.1016/S0304-4076(01)00098-7
• Lin, B., & Moubarak, M. (2014). Renewable energy consumption–economic growth nexus for China. Renewable and Sustainable Energy Reviews, 40, 111-117. https://doi.org/10.1016/j.rser.2014.07.128
• Maddala, G. S., & Wu, S. (1999). A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Economics and statistics, 61(S1), 631-652. https://doi.org/10.1111/1468-0084.0610s1631
• Menegaki, A. N. (2011). Growth and renewable energy in Europe: A random effect model with evidence for neutrality hypothesis. Energy economics, 33(2), 257-263. https://doi.org/10.1016/j.eneco.2010.10.004
• Miguez, J. L., Lopez-Gonzalez, L. M., Porteiro, J., Paz, C., Granada, E., & Moran, J. C. (2006). Contribution of renewable energy sources to electricity production in Galicia (Spain). Energy Sources, Part A, 28(11), 995-1012. https://doi.org/10.1080/00908310600718882
• Ocal, O., & Aslan, A. (2013). Renewable energy consumption–economic growth nexus in Turkey. Renewable and Sustainable Energy Reviews, 28, 494-499. https://doi.org/10.1016/j.rser.2013.08.036
• Ohler, A., & Fetters, I. (2014). The causal relationship between renewable electricity generation and GDP growth: A study of energy sources. Energy Economics, 43, 125-139. https://doi.org/10.1016/j.eneco.2014.02.009
• Omri, A., Mabrouk, N. B., & Sassi-Tmar, A. (2015). Modeling the causal linkages between nuclear energy, renewable energy and economic growth in developed and developing countries. Renewable and Sustainable Energy Reviews, 42, 1012-1022. https://doi.org/10.1016/j.rser.2014.10.046
• Pao, H. T., & Tsai, C. M. (2010). CO2 emissions, energy consumption and economic growth in BRIC countries. Energy Policy, 38(12), 7850-7860. https://doi.org/10.1016/j.enpol.2010.08.045
• Pedroni, P. (1999). Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxford Bulletin of Economics and Statistics, 61(S1), 653-670. https://doi.org/10.1111/1468-0084.0610s1653
• Pedroni, P. (2001). Fully modified OLS for heterogeneous cointegrated panels. In Nonstationary panels, panel cointegration, and dynamic panels. Emerald Group Publishing Limited. https://doi.org/10.1162/003465301753237803
• Pedroni, P. (2001). Purchasing power parity tests in cointegrated panels. Review of Economics and Statistics, 83(4), 727-731. https://doi.org/10.1162/003465301753237803
• Pesaran, H. (2004). General Diagnostic Tests for Cross Section Dependence in Panels. University of Cambridge. Cambridge Working Papers in Economics, 435, 138. https://doi.org/10.1007/s00181-020-01875-7
• 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
• 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
• Popp, D. (2012). The Role of Technological Change in Green Growth. 18506, 1-58. https://doi.org/10.3386/w18506
• Robertson, B., Bekker, J., & Buckham, B. (2020). Renewable integration for remote communities: Comparative allowable cost analyses for hydro, solar and wave energy. Applied Energy, 264, 114677. https://doi.org/10.1016/j.apenergy.2020.114677
• Sahabi, A. M. (2019). Finansal Performans Ölçütlerinin Firma Değeri Üzerindeki Etkisi: Borsa İstanbul’da Bir Araştırma. (Yayımlanmış Doktora Tezi), Anadolu Üniversitesi/ Sosyal Bilimler Enstitüsü, Eskişehir.
• Sargan, J. D., & Bhargava, A. (1983). Testing residuals from least squares regression for being generated by the Gaussian random walk. Econometrica: Journal of the Econometric Society, 153-174. https://doi.org/10.2307/1912252
• Sbia, R., Shahbaz, M., & Hamdi, H. (2014). A contribution of foreign direct investment, clean energy, trade openness, carbon emissions and economic growth to energy demand in UAE. Economic Modelling, 36, 191-197. https://doi.org/10.1016/j.econmod.2013.09.047
• Stock, J. H. (1999). A class of tests for integration and cointegration. Cointegration, Causality and Forecasting. A Festschrift in Honour of Clive WJ Granger, 137-167.
• Tang, C. F., Tan, B. W., & Ozturk, I. (2016). Energy consumption and economic growth in Vietnam. Renewable and Sustainable Energy Reviews, 54, 1506-1514. https://doi.org/10.1016/j.rser.2015.10.083
• Taşkın, D., Vardar, G., & Okan, B. (2020). Does renewable energy promote green economic growth in OECD countries?. Sustainability Accounting, Management and Policy Journal, 11(4), 771-798. https://doi.org/10.1108/SAMPJ-04-2019-0192
• Tugcu, C. T., Ozturk, I., & Aslan, A. (2012). Renewable and non-renewable energy consumption and economic growth relationship revisited: evidence from G7 countries. Energy economics, 34(6), 1942-1950. https://doi.org/10.1016/j.eneco.2012.08.021
• World Bank. (2021). World Development Indicators Online Database. Retrieved 15 July 2021 from https://databank.worldbank.org/source/world-developmentindicators
• Yalta, A. T., & Cakar, H. (2012). Energy consumption and economic growth in China: A reconciliation. Energy Policy, 41, 666-675. https://doi.org/10.1016/j.enpol.2011.11.029
• Yıldırım, E., Sukruoglu, D., & Aslan, A. (2014). Energy consumption and economic growth in the next 11 countries: The bootstrapped autoregressive metric causality approach. Energy Economics, 44, 14-21. https://doi.org/10.1016/j.eneco.2014.03.010