The Effects of Macroeconomic Indicators on Renewable Energy Use: The Case of Eastern Europe

Yıl 2025, Cilt: 12 Sayı: 2, 305 - 324, 01.07.2025

Aslı Okay Toprak

https://doi.org/10.17541/optimum.1645121

Öz

This study examines how carbon dioxide emissions per capita, Gross Domestic Product (GDP) per capita, percentage of trade in GDP, inflation and foreign direct investment data for 8 Eastern European countries (Romania, Bulgaria, Poland, Czechia, Moldova, Hungary, Slovakia, Moldova, Hungary, Slovakia and Belarus) for the period 1992-2021 affect percentage of renewable energy consumption in total energy consumption. The seemingly unrelated regression (SUR) model is the methodology employed in this investigation. According to the SUR model's results, the increase in per capita income increases the share of renewable energy consumption in all countries. However, the increase in per capita carbon emissions has reduced the share of renewable energy consumption. Although the impact of inflation, trade, and foreign direct investments on renewable energy consumption differs across countries, this effect is at a lower level compared to the income effect. The nations with comparatively higher rates of sustainable green growth are Poland, Moldova, and Slovakia. Hungary, Belarus, and Czechia, on the other hand, have a comparatively lesser propensity to use renewable energy.

Anahtar Kelimeler

Growth , Inflation , Trade , Foreign direct investment , Seemingly Unrelated Regression

Makroekonomik Göstergelerin Yenilenebilir Enerji Kullanımı Üzerindeki Etkileri: Doğu Avrupa Örneği

Öz

Bu çalışma, 1992-2021 dönemi için 8 Doğu Avrupa ülkesi (Romanya, Bulgaristan, Polonya, Çekya, Moldova, Macaristan, Slovakya, Moldova, Macaristan, Slovakya ve Belarus) için kişi başına karbondioksit emisyonu, kişi başına Gayri Safi Yurtiçi Hasıla (GSYİH), GSYİH içindeki ticaret yüzdesi, enflasyon ve doğrudan yabancı yatırım verilerinin yenilenebilir enerji tüketiminin toplam enerji tüketimi içindeki yüzdesini nasıl etkilediğini incelemektedir. Görünüşte ilişkisiz regresyon (SUR) modeli bu araştırmada kullanılan metodolojidir. SUR modelinin sonuçlarına göre, kişi başına düşen gelirdeki artış tüm ülkelerde yenilenebilir enerji tüketiminin payını artırmaktadır. Ancak, kişi başına düşen karbon emisyonundaki artış yenilenebilir enerji tüketiminin payını azaltmıştır. Enflasyon, ticaret ve doğrudan yabancı yatırımların yenilenebilir enerji tüketimi üzerindeki etkisi ülkeler arasında farklılık gösterse de bu etki gelir etkisine kıyasla daha düşük düzeydedir. Sürdürülebilir yeşil büyüme oranları nispeten daha yüksek olan ülkeler Polonya, Moldova ve Slovakya'dır. Macaristan, Belarus ve Çekya ise yenilenebilir enerji kullanma konusunda nispeten daha az eğilime sahiptir.

Anahtar Kelimeler

Büyüme , Enflasyon , Ticaret , Doğrudan Yabancı Yatırımlar , Görünürde İlişkisiz Regresyon

Kaynakça

• Alataş, S. (2022). Green Economic Growth and Renewable Energy Consumption:Empirical Evidence from Emerging Countries. International Journal of Management Economics and Business, 18(1), 1-14.
• Andrei, J.-V., Armeanu, D., Gherghina, Ș., & Joldeș, C. C. (2025). The nexus between CO2 emissions, renewable energy consumption, foreign direct investment, and economic growth: Evidence across different income groups of countries. Environmental Research Communications, 7(025023), 1-22. DOI: HYPERLINK "http://dx.doi.org/10.1088/2515-7620/ad8fff" \t "_blank" 10.1088/2515-7620/ad8fff
• Ashfag, S., Liangrong, S., Wagas, F., Gulzar, S., Mujtaba, G., & Nasir, R. M. (2024). Renewable Energy and Green Economic Growth Nexus: Insights from Simulated Dynamic ARDL. Gondwana Research, 127, 288-300. DOI: HYPERLINK "http://dx.doi.org/10.1016/j.gr.2023.08.014" \t "_blank" 10.1016/j.gr.2023.08.014
• Bayramlı, G., & Karımlı, T. (2024). Driving Factors of CO2 Emissions in South American Countries:An Application of Seemingly Unrelated Regression Model. Regional Sustainability, 5(4), 1-13. HYPERLINK "http://doi.org/10.1016/j.regsus.2024.100182" \t "_blank" 10.1016/j.regsus.2024.100182
• Bongers, A. (2022). Energy Mix,Technological Change,and the Environment. Environmental Economics and Policy Studies, 24, 341-364.
• Botha, I., Gherghina, S. C., Simionescu, L. N., Botezatu, M. A., & Coculescu, C. (2022). Investigating the Drivers of Renewable Energy Production:Panel Data Evidence for Central and Eastern European Countries. Economic Computation and Economic Cybernetics Studies and Research, 56(1), 1-22. DOI: HYPERLINK "http://dx.doi.org/10.24818/18423264/56.1.22.01" \t "_blank" 10.24818/18423264/56.1.22.01
• Bulut, A. E., Balaylar, N. A., & Karımlı, T. (2024). How Does Ownership Structure Affect the Profitability of Turkish Banks? A Comparative Analysis of Determinants. Public Sector Economics, 48(3), 337-361. DOI: HYPERLINK "http://dx.doi.org/10.3326/pse.48.3.4" \t "_blank" 10.3326/pse.48.3.4
• Cappelli, F., & Carnazza, G. (2025). Close ties: How trade dynamics and environmental regulations shape international dependence on oil. Energy Policy, 202, 1-15. HYPERLINK "https://doi.org/10.1016/j.enpol.2025.114578" \t "_blank" \o "Persistent link using digital object identifier" https://doi.org/10.1016/j.enpol.2025.114578
• Çakır Gündoğdu, B., & Kahyaoğlu, H. (2024). Climate Change-Trade Openess-Financial Depth Index-Economic Growth Nexus: A Study of G-20. Optimum Ekonomi ve Yönetim Bilimleri Dergisi, 11(2), 325-348. HYPERLINK "https://doi.org/10.17541/optimum.1416719" https://doi.org/10.17541/optimum.1416719
• Czyzak, P., & Theisen, N. (2024, 8 4). Empowering Central and Eastern Europe. March 2025 tarihinde https://ember-energy.org/: https://ember-energy.org/app/uploads/2024/10/RES-3SI-briefing.pdf adresinden alındı
• Destek, M., & Sinha, A. (2020). Renewable,Non-Renewable Energy Consumption,Economic Growth,Trade Openess and Ecological Footprint:Evidence from Organisation for Economic Co-operation and Development Countries. Journal of Celaner Production, 242, 1-36. DOI: HYPERLINK "http://dx.doi.org/10.1016/j.jclepro.2019.118537" \t "_blank" 10.1016/j.jclepro.2019.118537
• Elhorst, J. (2003). Specification and Estimation of Spatial Panel Data Models. International Regional Science Review, 26(3), 244-268. HYPERLINK "https://doi.org/10.1177/0160017603253791" https://doi.org/10.1177/0160017603253791
• Fedajev, A., Mitic, P., Kojic, M., & Radulescu, M. (2023). Driving industrial and economic growth in Central and Eastern Europe: The role of electricity infrastructure and renewable energy. Utilies Policy, 85(101683). HYPERLINK "https://doi.org/10.1016/j.jup.2023.101683" \t "_blank" \o "Persistent link using digital object identifier" https://doi.org/10.1016/j.jup.2023.101683
• Görgülü, A. (2022). Enerji Krizi ve İklim Değişikliği:Küresel Endişeler ve Çözümleri. C. Karaman (Dü.) içinde, Teknolbilim-2022 Enerji Krizi ve Yenilenebilir Enerji II (s. 7-28). İstanbul: Efe Akademi Yayınları.
• Gürdal, H. A. (2024). E7 Ülkelerinde Karbondioksit Emisyonu ile Yenilenebilir Enerji Tüketimi ve İktisadi Büyüme Arasındaki İlişkinin İncelenmesi. Optimum Ekonomi ve Yönetim Bilimleri Dergisi, 11(2), 309-324. HYPERLINK "https://doi.org/10.17541/optimum.1392450" https://doi.org/10.17541/optimum.1392450
• Ghafoor, U., Sheikh, M. R., & Bagir, A. (2023). Green Growth, Environmental Quality,Energy Consumption Nexus in OECD Countries. Bulletin of Business and Economics, 12(4), 409-418. HYPERLINK "https://doi.org/10.61506/01.00140" https://doi.org/10.61506/01.00140
• Jebli, M. B., Youssef, S. B., & Ozturk, I. (2013). The Environmental Kuznets Curve: The Role of Renewable and Non-Renewable Energy Consumption and Trade Openness. Environmental Science, Economics.
• Khan, H., Weili, L., Khan, I., & Khamphengxay, S. (2021). Renewable Energy Consumption,Trade Openess,and Environmental Degradation:A Panel Data Analysis of Developing and Developed Countries. Mathematical Problems in Engineering(1), 1-13. HYPERLINK "https://doi.org/10.1155/2021/6691046" https://doi.org/10.1155/2021/6691046
• Khan, Z., Ali, S., Umar, M., Kırıkkaleli, D., & Jiao, Z. (2020). Consumption-based carbon emissions and International trade in G7 countries: The role of Environmental innovation and Renewable energy. Science of The Total Environment, 730(138945).
• Knutsson, P., & Flores, P. I. (2022, February). Trends, investor types and drivers of renewable energy FDI. Retrieved March 2025, from OECD Working Papers on International Investment : file:///Users/asli/Downloads/4390289d-en.pdf
• Lange, D. E. (2024). Climate Action Now:Energy Industry Restructuring to Accelerate the Renewable Energy Transition. Journal of Cleaner Production, 443, 1-9. HYPERLINK "https://doi.org/10.1016/j.jclepro.2024.141018" \t "_blank" \o "Persistent link using digital object identifier" https://doi.org/10.1016/j.jclepro.2024.141018
• Li, S., & Shao, Q. (2023). How Do Financial Development and Environmental Policy Stringency Affect Renewable Energy Innovation?The Porter Hypothesis and Beyond. Journal of Innovation&Knowledge, 8(3), 1-8. HYPERLINK "https://doi.org/10.1016/j.jik.2023.100369" \t "_blank" \o "Persistent link using digital object identifier" https://doi.org/10.1016/j.jik.2023.100369
• Mahmood, H., Hassan, M. S., Rej, S., & Furgon, M. (2023). The Environmental Kuznets Curve and Renewable Energy Consumption:A Review. International Journal of Energy Economics and Policy, 13(3), 279-291. HYPERLINK "https://doi.org/10.32479/ijeep.14270" https://doi.org/10.32479/ijeep.14270
• Marinaş, M.-C., Dinu, M., Socol, A.-G., & Socol, C. (2018). Renewable energy consumption and economic growth. Causality relationship in Central and Eastern European countries. PLoS ONE, 13(10), 1-29.
• Mentel, G., Tarczynski, W., Dylewski, M., & Salahodjaev, R. (2022). Does Renewable Energy Sector Affect Industrialization-CO2 Emissions Nexus in Europe and Central Asia. Energies, 15(5877), 1-12. HYPERLINK "https://doi.org/10.3390/en15165877" https://doi.org/10.3390/en15165877
• Muoneke, O. B., Egbo, O. P., & Okere, K. I. (2023). Coal-environmental Quality Nexus in EU-part of the Eastern Bloc:Do Socioeconomic Factors and Bureaucracy Play A Substantial Role? Energy & Environment, 35(5). HYPERLINK "https://doi.org/10.1177/0958305X221149503" https://doi.org/10.1177/0958305X2211495
• Ogura, Y. (2020). Policy as a'Porter' of RE Component Export or Import?Evidence from PV/Wind Energy in OECD and BRICS. Energy Economics. HYPERLINK "https://doi.org/10.1016/j.eneco.2019.104630" \t "_blank" \o "Persistent link using digital object identifier" https://doi.org/10.1016/j.eneco.2019.104630
• Przycchodzen, W., & Przychodzen, J. (2020). Determinants of Renewable Energy Production in Transition Economies:A Panel Data Approach. Energy, 191. HYPERLINK "https://doi.org/10.1016/j.energy.2019.116583" \t "_blank" \o "Persistent link using digital object identifier" https://doi.org/10.1016/j.energy.2019.116583
• Saidi, K., & Omri, A. (2020). The impact of renewable energy on carbon emissions and economic growth in 15 major renewable energy-consuming countries. Environmental Research, 186(109567). HYPERLINK "https://doi.org/10.1016/j.envres.2020.109567" \t "_blank" \o "Persistent link using digital object identifier" https://doi.org/10.1016/j.envres.2020.109567
• Soava, G., Mehedintu, A., Sterpu, M., & Raduteonu, M. (2018). Impact of Renewable Energy Consumption on Economic Growth: Evidence From European Union Countries. Technological and Economic Development of Economy, 24(3), 914-932.
• Srivastava, V., & Dwivedi, T. (1979). Estimation of Seemingly Unrelated Regression Equations:A Brief Survey. Journal of Econometrics, 10(1), 15-32. HYPERLINK "https://doi.org/10.1016/0304-4076(79)90061-7" \t "_blank" \o "Persistent link using digital object identifier" https://doi.org/10.1016/0304-4076(79)90061-7
• 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.
• Vyrostkova, L., Lumnitzer, E., & Yehorova, A. (2024). Renewable Energy in the Eurozone: Exploring Macroeconomics Impacts via FMOLS. Energies, 1-18. HYPERLINK "https://doi.org/10.3390/en17051159" https://doi.org/10.3390/en17051159
• Wang, Q., & Zhang, F. (2021). The effects of trade openness on decoupling carbon emissions from economic growth e Evidence from 182 countries. Journal of Cleaner Production, 279(123838). HYPERLINK "https://doi.org/10.1016/j.jclepro.2020.123838" \t "_blank" \o "Persistent link using digital object identifier" https://doi.org/10.1016/j.jclepro.2020.123838
• Wen, J., Okolo, C. V., Ugwuoke, Celestine, I., & Koloni, K. (2022). Research on Influencing Factors of Renewable Energy, Energy Efficiency,on Technological Innovation.Does Trade,Investment and Human Capital Development Matter? Energy Policy, 160. DOI: HYPERLINK "http://dx.doi.org/10.1016/j.enpol.2021.112718" \t "_blank" 10.1016/j.enpol.2021.112718
• Wencong, L., Kasimov, I., & Saydaliev, H. B. (2023). Foreign direct investment and renewable energy: Examining the environmental Kuznets curve in resource-rich transition economies. Renewable Energy, 208, 301-310. HYPERLINK "https://doi.org/10.1016/j.renene.2023.03.054" \t "_blank" \o "Persistent link using digital object identifier" https://doi.org/10.1016/j.renene.2023.03.054
• Yıldırım, U., & Kaya, M. (2021). Seçilmiş OECD ülkelerinde Yenilenebilir Enerji Tüketiminin Makro Ekonomik Belirleyicileri. Çankırı Karatekin Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 11(1), 267-289. HYPERLINK "https://doi.org/10.18074/ckuiibfd.845859" https://doi.org/10.18074/ckuiibfd.845859
• Yang, X., Ramos-Meza, C. S., Shabbir, M. S., Ali, S. A., & Jain, V. (2022). The impact of renewable energy consumption, trade openness, CO2 emissions, income inequality, on economic growth . Energy Strategy Reviews, 44(101003). HYPERLINK "https://doi.org/10.1016/j.esr.2022.101003" \t "_blank" \o "Persistent link using digital object identifier" https://doi.org/10.1016/j.esr.2022.101003
• Yerdelen Tatoğlu, F. (2020). İleri Panel Veri Analizi. İstanbul: Beta Basım Yayım Dağıtım.
• Yusoff, N. Y., Ridzuan, A. R., Wahjoedi, T. S., Normaditya, B. S., & Ann, L. C. (2023). Comprehensive Outlook on Macroeconomic Determinants for Renewable Energy in Malaysia. Sustainability, 15(3891), 1-15. HYPERLINK "https://doi.org/10.3390/su15053891" https://doi.org/10.3390/su15053891
• Zellner, A. (1962). An efficient method of estimating seemingly unrelated regressions and tests for aggregation bias. Journal of the American statistical Association, 57(298), 348–368. HYPERLINK "https://doi.org/10.2307/2281644" \t "_blank" https://doi.org/10.2307/2281644
• Zhang, L., Padhan, H., Singh, S. K., & Gupta, M. (2024). The impact of renewable energy on inflation in G7 economies: Evidence from artificial neural networks and machine learning methods. Energy Economics, 136. HYPERLINK "https://doi.org/10.1016/j.eneco.2024.107718" \t "_blank" \o "Persistent link using digital object identifier" https://doi.org/10.1016/j.eneco.2024.107718
• Zhang, M., Xhang, S., Lee, C.-C., & Zhou, D. (2021). Effects of trade openness on renewable energy consumption in OECD countries: New insights from panel smooth transition regression modelling. Energy Economics, 104. HYPERLINK "https://doi.org/10.1016/j.eneco.2021.105649" \t "_blank" \o "Persistent link using digital object identifier" https://doi.org/10.1016/j.eneco.2021.105649