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FİNANSAL GELİŞME VE ENERJİ YAPISININ YENİLENEBİLİR ENERJİYE ETKİSİ: 20 GELİŞMEKTE OLAN ÜLKE ÖRNEĞİ

Yıl 2025, Cilt: 8 Sayı: 2, 27 - 46, 30.12.2025
https://doi.org/10.54472/jobig.1762431
https://izlik.org/JA93AF24UF

Öz

Bu çalışma, 2010–2021 döneminde seçilmiş 20 gelişmekte olan ülkede yenilenebilir enerji tüketiminin belirleyicilerini incelemektedir. Bağımlı değişken olarak yenilenebilir enerji tüketimi; bağımsız değişkenler olarak ise finansal gelişme, enerji yoğunluğu ve enerji ithalatı ele alınmıştır. Panel veri setinin hem yatay kesit hem de zaman boyutundaki dinamik ilişkilerini dikkate almak amacıyla, iki aşamalı Sistem Genelleştirilmiş Momentler Metodu tercih edilmiştir. Analiz sonuçları, yenilenebilir enerji tüketiminin büyük ölçüde geçmiş dönem değerlerinden etkilendiğini, dolayısıyla enerji yatırımlarının süreklilik gösteren ve kurumsal destek gerektiren bir yapıda olduğunu ortaya koymaktadır. Bulgular, literatürdeki bazı beklentilerin aksine, finansal gelişmenin yenilenebilir enerji tüketimi üzerinde anlamlı bir etkisinin bulunmadığını göstermektedir. Bu durum, gelişmekte olan ülkelerde finansal kaynakların ağırlıklı olarak geleneksel enerji sektörlerine yöneldiğini ve yeşil finansman altyapısının henüz yeterince gelişmediğini düşündürmektedir. Enerji yoğunluğunun etkisi de istatistiksel olarak anlamlı bulunmamıştır; bu, enerji verimliliği politikalarının enerji dönüşümüne doğrudan yansımadığını işaret etmektedir. Enerji ithalatı ise pozitif ve sınırlı düzeyde anlamlı bir etki göstermiştir; bu bulgu, dışa bağımlılığın yenilenebilir enerji yatırımlarını kısmen teşvik edebileceğini düşündürmektedir. Genel olarak sonuçlar, enerji dönüşümünün yalnızca ekonomik faktörlere değil, aynı zamanda finansal yapıların yönlendirilmesine, politik iradeye, kurumsal kapasiteye ve uzun vadeli stratejik planlamaya bağlı olduğunu ortaya koymaktadır.

Kaynakça

  • Ang, B. W. (2004). Decomposition analysis for policymaking in energy: Which is the preferred method? Energy Policy, 32(9), 1131–1139.
  • Ang, B. W. (2007). CO₂ emission intensity in electricity production: A global analysis. Energy Policy, 35(5), 2392–2402.
  • 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.
  • Apergis, N., & Payne, J. E. (2014a). Renewable energy, output, CO₂ emissions, and oil prices: Evidence from the G-7 countries. Energy Economics, 42, 226–232.
  • Apergis, N., & Payne, J. E. (2014b). The renewable energy consumption–growth nexus in Central America. Energy Economics, 42, 326–331.
  • Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, 58(2), 277–297.
  • Arellano, M., & Bover, O. (1995). Another look at the instrumental variable estimation of error-components models. Journal of Econometrics, 68(1), 29–51.
  • Baltagi, B. H. (2008). Econometric Analysis of Panel Data (4th ed.). Wiley.
  • Beck, T., Demirgüç‑Kunt, A., & Levine, R. (2000). A New Database on Financial Development and Structure. World Bank Economic Review, 14(3), 597–605.
  • Beck, T., & Demirgüç-Kunt, A. (2006). Small and medium-size enterprises: Access to finance as a growth constraint. Journal of Banking & Finance, 30(11), 2931–2943.
  • 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.
  • Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143.
  • Bölük, G., & Mert, M. (2014). Fossil & renewable energy consumption, GHGs (greenhouse gases) and economic growth: Evidence from a panel of EU countries. Energy, 74, 439–446.
  • Bond, S. (2002). Dynamic panel data models: A guide to micro data methods and practice. Portuguese Economic Journal, 1(2), 141–162.
  • Doytch, N., & Narayan, S. (2016). Does FDI influence renewable energy consumption? International Journal of Energy Economics and Policy, 6(4), 734–742.
  • Erdoğdu, E. (2011). An analysis of Turkish hydropower policy. Renewable and Sustainable Energy Reviews, 15(1), 689–696. https://doi.org/10.1016/j.rser.2010.09.019.
  • Frankel, J. A., & Romer, D. (1999). Does trade cause growth? American Economic Review, 89(3), 379–399.
  • Green, F., & Villanueva, P. (2020). Finance and investment for a just transition. Grantham Research Institute on Climate Change.
  • Gujarati, D. N., & Porter, D. C. (2009). Basic Econometrics (5th ed.). New York: McGraw-Hill.
  • Halkos, G. E., & Polemis, M. L. (2016). The impact of economic growth on environmental efficiency: Evidence from a panel of countries. Renewable and Sustainable Energy Reviews, 60, 653–660.
  • Hansen, L. P. (1982). Large sample properties of generalized method of moments estimators. Econometrica, 50(4), 1029–1054.
  • IMF. (2020). Greening the Financial System. International Monetary Fund, Policy Paper.
  • International Energy Agency (IEA). (2021). World Energy Outlook 2021. Paris: IEA.
  • International Energy Agency (IEA). (2022). World Energy Outlook 2022. Paris: IEA.
  • International Energy Agency (IEA). (2023). World Energy Outlook 2023. https://www.iea.org
  • IPCC. (2022). Climate Change 2022: Mitigation of Climate Change. Cambridge University Press.
  • Lean, H. H., & Smyth, R. (2010). On the dynamic interactions between energy consumption, output, and employment in Malaysia: Evidence from multivariate VAR model. Applied Energy, 87(6), 1963–1971.
  • Le Coq, C., & Paltseva, E. (2009). Measuring the security of external energy supply in the European Union. Energy Policy, 37(11), 4474–4481.
  • 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.
  • Murshed, M. (2020). An empirical analysis of the non-linear impacts of energy productivity on environmental sustainability in South Asia. Energy Ecology and Environment, 5, 385–402.
  • Murshed, M., & Quamrul, H. M. (2020). Energy intensity and economic growth in developing countries: A panel cointegration analysis. Energy Reports, 6, 1219–1227.
  • Narayan, P. K., & Smyth, R. (2009). Multivariate Granger causality between electricity consumption, exports and GDP: Evidence from a panel of Middle Eastern countries. Energy Policy, 37(1), 229–236.
  • Nickell, S. (1981). Biases in dynamic models with fixed effects. Econometrica, 49(6), 1417–1426.
  • OECD. (2021). Financing Clean Energy Transitions in Emerging and Developing Economies.
  • Omri, A., & Nguyen, D. K. (2014). On the determinants of renewable energy consumption: International evidence. Energy, 72, 554–560.
  • Özokcu, S., & Özdemir, Ö. (2017). A dynamic panel data analysis of renewable energy consumption, economic growth and CO₂ emissions. Renewable and Sustainable Energy Reviews, 75, 1139–1148.
  • Pao, H. T., & Fu, H. C. (2013). Renewable energy, non-renewable energy and economic growth in Brazil. Renewable and Sustainable Energy Reviews, 25, 381–392.
  • Paramati, S. R., Ummalla, M., & Apergis, N. (2016). The effect of foreign direct investment and stock market growth on clean energy use across a panel of emerging market economies. Energy Economics, 56, 29–41.
  • REN21. (2022). Renewables 2022 Global Status Report. https://www.ren21.net
  • Roodman, D. (2009). How to do xtabond2: An introduction to difference and system GMM in Stata. The Stata Journal, 9(1), 86–136.
  • Sadorsky, P. (2009). Renewable energy consumption, CO₂ emissions and oil prices in the G7 countries. Energy Economics, 31(3), 456–462.
  • Sadorsky, P. (2010). The impact of financial development on energy consumption in emerging economies. Energy Policy, 38(5), 2528–2535.
  • Sadorsky, P. (2011). Financial development and energy consumption in Central and Eastern European frontier economies. Energy Policy, 39(2), 999–1006.
  • Sadorsky, P. (2012). Financial development and energy consumption in emerging economies. Energy Policy, 48, 130–136.
  • Sadorsky, P. (2013). Do urbanization and industrialization affect energy intensity in developing countries? Energy Economics, 37, 52–59.
  • Taghizadeh-Hesary, F., & Yoshino, N. (2020). The way to induce private participation in green finance and investment. Finance Research Letters, 31, 100779.
  • Wooldridge, J. M. (2012). Introductory Econometrics: A Modern Approach (5th ed.). Mason, OH: South-Western Cengage Learning.
  • World Bank. (2021). Financing Climate Action in Developing Countries.
  • World Bank. (2022). World Development Indicators. https://data.worldbank.org
  • World Bank. (2023). World Development Indicators. https://data.worldbank.org
  • Zhang, Y. J., & Ma, C. (2018). The impacts of financial development and economic growth on renewable energy consumption: Evidence from China. Renewable and Sustainable Energy Reviews, 81, 3045–3055.

FINANCIAL STRUCTURES AND ENERGY PATTERNS IN THE SHIFT TOWARD RENEWABLES: EVIDENCE FROM 20 DEVELOPING COUNTRIES

Yıl 2025, Cilt: 8 Sayı: 2, 27 - 46, 30.12.2025
https://doi.org/10.54472/jobig.1762431
https://izlik.org/JA93AF24UF

Öz

This study investigates the determinants of renewable energy consumption in a panel of 20 developing countries over the period 2010–2021. The dependent variable is renewable energy consumption, while the key explanatory variables include financial development, energy intensity, and energy imports. To capture the dynamic relationships across both cross-sectional and temporal dimensions of the panel dataset, the two-step System Generalized Method of Moments estimator is employed. The results indicate that renewable energy consumption is strongly influenced by its own lagged values, underscoring the persistence of energy investments and the gradual, institution-dependent nature of the energy transition. Contrary to some prior expectations, financial development exerts no statistically significant effect, suggesting that in developing economies financial resources tend to be allocated predominantly to conventional energy sectors and that green finance infrastructure remains underdeveloped. Similarly, energy intensity is found to have no significant impact, implying that efficiency policies have yet to translate into tangible progress in the energy transition. In contrast, energy imports exhibit a positive, albeit marginally significant, relationship with renewable energy consumption, indicating that external energy dependence may serve as a modest catalyst for renewable investments. Overall, the findings suggest that advancing the energy transition requires not only economic factors but also targeted financial reforms, strong political commitment, enhanced institutional capacity, and coherent long-term strategic planning.

Kaynakça

  • Ang, B. W. (2004). Decomposition analysis for policymaking in energy: Which is the preferred method? Energy Policy, 32(9), 1131–1139.
  • Ang, B. W. (2007). CO₂ emission intensity in electricity production: A global analysis. Energy Policy, 35(5), 2392–2402.
  • 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.
  • Apergis, N., & Payne, J. E. (2014a). Renewable energy, output, CO₂ emissions, and oil prices: Evidence from the G-7 countries. Energy Economics, 42, 226–232.
  • Apergis, N., & Payne, J. E. (2014b). The renewable energy consumption–growth nexus in Central America. Energy Economics, 42, 326–331.
  • Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, 58(2), 277–297.
  • Arellano, M., & Bover, O. (1995). Another look at the instrumental variable estimation of error-components models. Journal of Econometrics, 68(1), 29–51.
  • Baltagi, B. H. (2008). Econometric Analysis of Panel Data (4th ed.). Wiley.
  • Beck, T., Demirgüç‑Kunt, A., & Levine, R. (2000). A New Database on Financial Development and Structure. World Bank Economic Review, 14(3), 597–605.
  • Beck, T., & Demirgüç-Kunt, A. (2006). Small and medium-size enterprises: Access to finance as a growth constraint. Journal of Banking & Finance, 30(11), 2931–2943.
  • 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.
  • Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143.
  • Bölük, G., & Mert, M. (2014). Fossil & renewable energy consumption, GHGs (greenhouse gases) and economic growth: Evidence from a panel of EU countries. Energy, 74, 439–446.
  • Bond, S. (2002). Dynamic panel data models: A guide to micro data methods and practice. Portuguese Economic Journal, 1(2), 141–162.
  • Doytch, N., & Narayan, S. (2016). Does FDI influence renewable energy consumption? International Journal of Energy Economics and Policy, 6(4), 734–742.
  • Erdoğdu, E. (2011). An analysis of Turkish hydropower policy. Renewable and Sustainable Energy Reviews, 15(1), 689–696. https://doi.org/10.1016/j.rser.2010.09.019.
  • Frankel, J. A., & Romer, D. (1999). Does trade cause growth? American Economic Review, 89(3), 379–399.
  • Green, F., & Villanueva, P. (2020). Finance and investment for a just transition. Grantham Research Institute on Climate Change.
  • Gujarati, D. N., & Porter, D. C. (2009). Basic Econometrics (5th ed.). New York: McGraw-Hill.
  • Halkos, G. E., & Polemis, M. L. (2016). The impact of economic growth on environmental efficiency: Evidence from a panel of countries. Renewable and Sustainable Energy Reviews, 60, 653–660.
  • Hansen, L. P. (1982). Large sample properties of generalized method of moments estimators. Econometrica, 50(4), 1029–1054.
  • IMF. (2020). Greening the Financial System. International Monetary Fund, Policy Paper.
  • International Energy Agency (IEA). (2021). World Energy Outlook 2021. Paris: IEA.
  • International Energy Agency (IEA). (2022). World Energy Outlook 2022. Paris: IEA.
  • International Energy Agency (IEA). (2023). World Energy Outlook 2023. https://www.iea.org
  • IPCC. (2022). Climate Change 2022: Mitigation of Climate Change. Cambridge University Press.
  • Lean, H. H., & Smyth, R. (2010). On the dynamic interactions between energy consumption, output, and employment in Malaysia: Evidence from multivariate VAR model. Applied Energy, 87(6), 1963–1971.
  • Le Coq, C., & Paltseva, E. (2009). Measuring the security of external energy supply in the European Union. Energy Policy, 37(11), 4474–4481.
  • 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.
  • Murshed, M. (2020). An empirical analysis of the non-linear impacts of energy productivity on environmental sustainability in South Asia. Energy Ecology and Environment, 5, 385–402.
  • Murshed, M., & Quamrul, H. M. (2020). Energy intensity and economic growth in developing countries: A panel cointegration analysis. Energy Reports, 6, 1219–1227.
  • Narayan, P. K., & Smyth, R. (2009). Multivariate Granger causality between electricity consumption, exports and GDP: Evidence from a panel of Middle Eastern countries. Energy Policy, 37(1), 229–236.
  • Nickell, S. (1981). Biases in dynamic models with fixed effects. Econometrica, 49(6), 1417–1426.
  • OECD. (2021). Financing Clean Energy Transitions in Emerging and Developing Economies.
  • Omri, A., & Nguyen, D. K. (2014). On the determinants of renewable energy consumption: International evidence. Energy, 72, 554–560.
  • Özokcu, S., & Özdemir, Ö. (2017). A dynamic panel data analysis of renewable energy consumption, economic growth and CO₂ emissions. Renewable and Sustainable Energy Reviews, 75, 1139–1148.
  • Pao, H. T., & Fu, H. C. (2013). Renewable energy, non-renewable energy and economic growth in Brazil. Renewable and Sustainable Energy Reviews, 25, 381–392.
  • Paramati, S. R., Ummalla, M., & Apergis, N. (2016). The effect of foreign direct investment and stock market growth on clean energy use across a panel of emerging market economies. Energy Economics, 56, 29–41.
  • REN21. (2022). Renewables 2022 Global Status Report. https://www.ren21.net
  • Roodman, D. (2009). How to do xtabond2: An introduction to difference and system GMM in Stata. The Stata Journal, 9(1), 86–136.
  • Sadorsky, P. (2009). Renewable energy consumption, CO₂ emissions and oil prices in the G7 countries. Energy Economics, 31(3), 456–462.
  • Sadorsky, P. (2010). The impact of financial development on energy consumption in emerging economies. Energy Policy, 38(5), 2528–2535.
  • Sadorsky, P. (2011). Financial development and energy consumption in Central and Eastern European frontier economies. Energy Policy, 39(2), 999–1006.
  • Sadorsky, P. (2012). Financial development and energy consumption in emerging economies. Energy Policy, 48, 130–136.
  • Sadorsky, P. (2013). Do urbanization and industrialization affect energy intensity in developing countries? Energy Economics, 37, 52–59.
  • Taghizadeh-Hesary, F., & Yoshino, N. (2020). The way to induce private participation in green finance and investment. Finance Research Letters, 31, 100779.
  • Wooldridge, J. M. (2012). Introductory Econometrics: A Modern Approach (5th ed.). Mason, OH: South-Western Cengage Learning.
  • World Bank. (2021). Financing Climate Action in Developing Countries.
  • World Bank. (2022). World Development Indicators. https://data.worldbank.org
  • World Bank. (2023). World Development Indicators. https://data.worldbank.org
  • Zhang, Y. J., & Ma, C. (2018). The impacts of financial development and economic growth on renewable energy consumption: Evidence from China. Renewable and Sustainable Energy Reviews, 81, 3045–3055.
Toplam 51 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Finans
Bölüm Araştırma Makalesi
Yazarlar

Lale Kübra Uluçay 0000-0003-1801-1130

Ulaş Ünlü 0000-0003-3272-9341

Gönderilme Tarihi 11 Ağustos 2025
Kabul Tarihi 4 Eylül 2025
Erken Görünüm Tarihi 8 Aralık 2025
Yayımlanma Tarihi 30 Aralık 2025
DOI https://doi.org/10.54472/jobig.1762431
IZ https://izlik.org/JA93AF24UF
Yayımlandığı Sayı Yıl 2025 Cilt: 8 Sayı: 2

Kaynak Göster

APA Uluçay, L. K., & Ünlü, U. (2025). FİNANSAL GELİŞME VE ENERJİ YAPISININ YENİLENEBİLİR ENERJİYE ETKİSİ: 20 GELİŞMEKTE OLAN ÜLKE ÖRNEĞİ. Journal of Business Innovation and Governance, 8(2), 27-46. https://doi.org/10.54472/jobig.1762431

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Journal of Business, Innovation and Governance Creative Commons Atıf-Gayri Ticari 4.0 Uluslararası Lisansı ile lisanslanmıştır.