Araştırma Makalesi

Determinants of renewable energy investment in Turkey: A wavelet-based quantile regression and causality approach

Cilt: 11 Sayı: 2 30 Haziran 2026
PDF İndir
EN

Determinants of renewable energy investment in Turkey: A wavelet-based quantile regression and causality approach

Öz

This study examines the relationship between Renewable Energy Investments (REINV) and Economic Growth (GDP), Oil Prices (OP), and Carbon Intensity (CI) in Türkiye for the period 2001–2024. Annual data were converted to quarterly frequency using the quadratic-match method to enable the application of wavelet-based methods. Given the assumption that relationships among variables may exhibit a nonlinear and heterogeneous structure, Wavelet Quantile Regression (WQR) and Wavelet Quantile Granger Causality (WQGC) methods were employed. Energy market uncertainties, dependence on non-renewable sources, and environmental pressures have made it imperative for energy-dependent countries such as Türkiye to channel investments toward renewable energy. In the empirical analysis process, the nonlinear structure of the variables was first examined via the BDS test, after which stationarity properties were established using the WQADF and WQPP unit root tests. The effects of GDP, OP, and CI on REINV were analyzed through WQR, while causal relationships were examined using WQGC. The findings demonstrate that relationships among variables differ across quantile and frequency dimensions. GDP exerts a positive and supportive effect on REINV across all frequencies and quantiles. The effect of OP is largely positive; however, a suppressive effect is observed at middle quantiles and over the medium term. Contrary to expectations, the relationship between CI and REINV was found to be negative, with fossil fuel dependence constraining renewable energy investments particularly in the short run. WQGC results indicate that causal relationships become more pronounced predominantly in the long run and at upper quantiles, with causality running from GDP, OP, and CI to REINV being especially evident over longer horizons. These results underscore that, in order to increase REINV in Türkiye, financing opportunities, green innovation, technological advancement, and sustainable environmental and energy policies must be addressed in conjunction with GDP growth.

Anahtar Kelimeler

Kaynakça

  1. [1] Adebayo, T. S., & Ozkan, O. (2024). Investigating the influence of socioeconomic conditions, renewable energy and eco-innovation on environmental degradation in the United States: A wavelet quantile-based analysis. Journal of Cleaner Production, 434, 140321. https://doi.org/10.1016/j.jclepro.2023.140321
  2. [2] Akadiri, S. S., Ozkan, O., & Alola, A. A. (2025). Investigating the determinants of load capacity factor in Nigeria: An asymmetric quantile approach on urbanization, economic growth, FDI, and resource dependency. Resources Policy, 104, 105586. https://doi.org/10.1016/j.resourpol.2025.105586
  3. [3] Akın, F., Dinçer, S., & Şakalak, A. (2026). Teknoloji, Yenilenebilir Enerji ve Sürdürülebilir Büyüme Ekseninde Çevre Kalitesi: CS-ARDL Analizi. Verimlilik Dergisi, 60(1), 179-196. https://doi.org/10.51551/verimlilik.1718994
  4. [4] Awosusi, A. A., & Ozsahin, D. U. (2026). Assessing the role of renewable-based energy innovation, economic growth, and political risk in shaping Japan's load capacity factor: A wavelet-based quantile analysis. Renewable Energy, 262, 125400. https://doi.org/10.1016/j.renene.2026.125400
  5. [5] Balkan Green Energy News (BGEN) 2026, https://balkangreenenergynews.com/energy-crisis-fueled-by-iran-war-makes-economic-logic-of-renewables-impossible-to-ignore/. (Accessed: 05.05.2026).
  6. [6] Bekar, N. (2020). Yenilenebilir Enerji Kaynakları Açısından Türkiye’nin Enerji Jeopolitiği. Türkiye Siyaset Bilimi Dergisi, 3(1), 37-54. https://izlik.org/JA67UW43BS
  7. [7] Broock, W.A., Scheinkman, J., A., Dechert, W. D., and LeBaron, B. (1996). “A test for independence based on the correlation dimension”, Econometric Reviews, 15(3), 197-235. https://doi.org/10.1080/07474939608800353.
  8. [8] Chang, Y., Fan, X., & Zou, X. (2025). Threshold effects of renewable energy investment on the energy efficiency–fossil fuel consumption nexus: Evidence from 71 countries. Energies, 18(8), 2078. https://doi.org/10.3390/en18082078

Ayrıntılar

Birincil Dil

İngilizce

Konular

Yenilenebilir Enerji Sistemleri

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

30 Haziran 2026

Gönderilme Tarihi

19 Mayıs 2026

Kabul Tarihi

8 Haziran 2026

Yayımlandığı Sayı

Yıl 2026 Cilt: 11 Sayı: 2

Kaynak Göster

APA
Uysal, M., Atalay, İ. E., & Neslihanoğlu, S. (2026). Determinants of renewable energy investment in Turkey: A wavelet-based quantile regression and causality approach. International Journal of Energy Studies, 11(2), 1369-1391. https://doi.org/10.58559/ijes.1954610
AMA
1.Uysal M, Atalay İE, Neslihanoğlu S. Determinants of renewable energy investment in Turkey: A wavelet-based quantile regression and causality approach. International Journal of Energy Studies. 2026;11(2):1369-1391. doi:10.58559/ijes.1954610
Chicago
Uysal, Mustafa, İbrahim Edibali Atalay, ve Serdar Neslihanoğlu. 2026. “Determinants of renewable energy investment in Turkey: A wavelet-based quantile regression and causality approach”. International Journal of Energy Studies 11 (2): 1369-91. https://doi.org/10.58559/ijes.1954610.
EndNote
Uysal M, Atalay İE, Neslihanoğlu S (01 Haziran 2026) Determinants of renewable energy investment in Turkey: A wavelet-based quantile regression and causality approach. International Journal of Energy Studies 11 2 1369–1391.
IEEE
[1]M. Uysal, İ. E. Atalay, ve S. Neslihanoğlu, “Determinants of renewable energy investment in Turkey: A wavelet-based quantile regression and causality approach”, International Journal of Energy Studies, c. 11, sy 2, ss. 1369–1391, Haz. 2026, doi: 10.58559/ijes.1954610.
ISNAD
Uysal, Mustafa - Atalay, İbrahim Edibali - Neslihanoğlu, Serdar. “Determinants of renewable energy investment in Turkey: A wavelet-based quantile regression and causality approach”. International Journal of Energy Studies 11/2 (01 Haziran 2026): 1369-1391. https://doi.org/10.58559/ijes.1954610.
JAMA
1.Uysal M, Atalay İE, Neslihanoğlu S. Determinants of renewable energy investment in Turkey: A wavelet-based quantile regression and causality approach. International Journal of Energy Studies. 2026;11:1369–1391.
MLA
Uysal, Mustafa, vd. “Determinants of renewable energy investment in Turkey: A wavelet-based quantile regression and causality approach”. International Journal of Energy Studies, c. 11, sy 2, Haziran 2026, ss. 1369-91, doi:10.58559/ijes.1954610.
Vancouver
1.Mustafa Uysal, İbrahim Edibali Atalay, Serdar Neslihanoğlu. Determinants of renewable energy investment in Turkey: A wavelet-based quantile regression and causality approach. International Journal of Energy Studies. 01 Haziran 2026;11(2):1369-91. doi:10.58559/ijes.1954610