Araştırma Makalesi
BibTex RIS Kaynak Göster

The Role of Coal and Renewable Energy in Total Electricity Production: An Econometric Evaluation

Yıl 2025, Cilt: 18 Sayı: 4, 1138 - 1149, 27.10.2025

Öz

This study analyzes the impact of electricity generation from coal and renewable energy sources on total electricity production in Turkey between 2000 and 2023. Using time series data, the structural relationships within energy supply are examined through the Johansen cointegration and Toda-Yamamoto causality tests. Initially, the stationarity of the series is assessed using Augmented Dickey-Fuller (ADF) and KPSS tests. Then, the long-term equilibrium relationship is identified via the Johansen test. In the final stage, the causal relationships among the variables are analyzed through the Toda-Yamamoto approach. The findings reveal that both coal and renewable energy sources have statistically significant and strong effects on total electricity production. Notably, renewable energy generation demonstrates a higher causal influence compared to coal. These results indicate the necessity of designing energy policies in a multidimensional and source-based manner and offer strategic guidance for ensuring a sustainable and flexible energy supply structure.

Kaynakça

  • Acar, S., Kat, B., Rogner, M., Saygin, D., Taranto, Y., & Yeldan, A. E. (2023). Transforming Türkiye’s power system: An assessment of economic, social, and external impacts of an energy transition by 2030. Cleaner Energy Systems, 4, 100064. https://doi.org/10.1016/j.cles.2023.100064
  • Al-mulali, U., & Binti Che Sab, C. N. (2012). The impact of energy consumption and CO2 emission on the economic growth and financial development in the Sub Saharan African countries. Energy, 39(1), 180-186. https://doi.org/10.1016/j.energy.2012.01.032
  • Apergis, N., & Payne, J. E. (2010). Natural gas consumption and economic growth: A panel investigation of 67 countries. Applied Energy, 87(8), 2759-2763. https://doi.org/10.1016/j.apenergy.2010.01.002
  • 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
  • Bildirici, M. E. (2013). Economic growth and biomass energy. Biomass and Bioenergy, 50, 19-24. https://doi.org/10.1016/j.biombioe.2012.09.055
  • Bowden, N., & Payne, J. E. (2010). Sectoral Analysis of the Causal Relationship Between Renewable and Non-Renewable Energy Consumption and Real Output in the US. Energy Sources, Part B: Economics, Planning, and Policy, 5, 400-408. https://doi.org/10.1080/15567240802534250
  • Dickey, D. A., & Fuller, W. A. (1979). Distribution of the Estimators for Autoregressive Time Series with a Unit Root. Journal of the American Statistical Association, 74(366a), 427-431. https://doi.org/10.1080/01621459.1979.10482531
  • Johansen, S. (1988). Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12(2), 231-254. https://doi.org/10.1016/0165-1889(88)90041-3
  • Kat, B., Şahin, Ü., Teimourzadeh, S., Tör, O. B., Voyvoda, E., & Yeldan, A. E. (2024). A new energy-economy-environment modeling framework: Insights from decarbonization of the Turkish power Sector towards net-zero Emission targets. Energy, 302, 131760. https://doi.org/10.1016/j.energy.2024.131760
  • Kwiatkowski, D., Phillips, P. C. B., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root? Journal of Econometrics, 54(1), 159-178. https://doi.org/10.1016/0304-4076(92)90104-Y
  • Lean, H. H., & Smyth, R. (2010). CO2 emissions, electricity consumption and output in ASEAN. Applied Energy, 87(6), 1858-1864. https://doi.org/10.1016/j.apenergy.2010.02.003
  • 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.
  • Narayan, P. K., & Smyth, R. (2006). What Determines Migration Flows from Low-Income to High-Income Countries? An Empirical Investigation of Fiji–U.s. Migration 1972–2001. Contemporary Economic Policy, 24(2), 332-342. https://doi.org/10.1093/cep/byj019
  • Onat, N. (2018). Türkiye’de yenilenebilir kaynaklardan elektrik enerjisi üretimi: Mevcut durum ve gelecek beklentileri.
  • Ozturk, I. (2010). A Literature Survey on Energy–Growth Nexus. Energy Policy, (38), 340-349.
  • Oztürk, I., & Acaravcı, A. (2013). The Long-Run and Causal Analysis of Energy, Growth, Openness and Financial Development on Carbon Emissions in Turkey. Energy Economics, (36), 262-267. https://doi.org/10.1016/j.eneco.2012.08.025
  • 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
  • Sadorsky, P. (2009). Renewable energy consumption and income in emerging economies. Energy Policy, 37(10), 4021-4028. https://doi.org/10.1016/j.enpol.2009.05.003
  • Soytas, U., & Sari, R. (2003). Energy consumption and GDP: Causality relationship in G-7 countries and emerging markets. Energy Economics, 25(1), 33-37. https://doi.org/10.1016/S0140-9883(02)00009-9
  • Toda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1), 225-250. https://doi.org/10.1016/0304-4076(94)01616-8
  • Wang, K., Lu, B., & Wei, Y.-M. (2014). China’s Regional Energy and Environmental Efficiency: A Range-Adjusted Measure Based Analysis. Center for Energy and Environmental Policy Research Beijing Institute of Technology, 61.

Toplam Elektrik Üretiminde Kömür ve Yenilenebilir Enerjinin Rolü: Ekonometrik Bir Değerlendirme

Yıl 2025, Cilt: 18 Sayı: 4, 1138 - 1149, 27.10.2025

Öz

Bu çalışma, 2000-2023 yılları arasında Türkiye’de kömür ve yenilenebilir enerji kaynaklarından elde edilen elektrik üretiminin toplam elektrik üretimi üzerindeki etkilerini analiz etmektedir. Çalışmada, zaman serisi verileri kullanılarak enerji arzındaki yapısal ilişkiler Johansen eşbütünleşme ve Toda-Yamamoto nedensellik testleri ile incelenmiştir. İlk olarak Augmented Dickey-Fuller (ADF) ve KPSS testleri aracılığıyla serilerin durağanlık düzeyleri belirlenmiş, ardından uzun dönemli denge ilişkisi Johansen testiyle tespit edilmiştir. Son aşamada, değişkenler arasındaki nedensellik ilişkileri Toda-Yamamoto yöntemiyle analiz edilmiştir. Elde edilen bulgular hem kömür hem de yenilenebilir enerji kaynaklarının toplam elektrik üretimi üzerinde anlamlı ve istatistiksel olarak güçlü etkileri olduğunu göstermektedir. Özellikle yenilenebilir enerji üretiminin, kömüre kıyasla daha yüksek bir nedensellik gücüne sahip olduğu saptanmıştır. Bu sonuçlar, enerji politikalarının çok boyutlu ve kaynak temelli şekilde tasarlanması gerektiğini ortaya koymakta; sürdürülebilir ve esnek bir enerji arz yapısı için stratejik yönlendirmeler sunmaktadır.

Kaynakça

  • Acar, S., Kat, B., Rogner, M., Saygin, D., Taranto, Y., & Yeldan, A. E. (2023). Transforming Türkiye’s power system: An assessment of economic, social, and external impacts of an energy transition by 2030. Cleaner Energy Systems, 4, 100064. https://doi.org/10.1016/j.cles.2023.100064
  • Al-mulali, U., & Binti Che Sab, C. N. (2012). The impact of energy consumption and CO2 emission on the economic growth and financial development in the Sub Saharan African countries. Energy, 39(1), 180-186. https://doi.org/10.1016/j.energy.2012.01.032
  • Apergis, N., & Payne, J. E. (2010). Natural gas consumption and economic growth: A panel investigation of 67 countries. Applied Energy, 87(8), 2759-2763. https://doi.org/10.1016/j.apenergy.2010.01.002
  • 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
  • Bildirici, M. E. (2013). Economic growth and biomass energy. Biomass and Bioenergy, 50, 19-24. https://doi.org/10.1016/j.biombioe.2012.09.055
  • Bowden, N., & Payne, J. E. (2010). Sectoral Analysis of the Causal Relationship Between Renewable and Non-Renewable Energy Consumption and Real Output in the US. Energy Sources, Part B: Economics, Planning, and Policy, 5, 400-408. https://doi.org/10.1080/15567240802534250
  • Dickey, D. A., & Fuller, W. A. (1979). Distribution of the Estimators for Autoregressive Time Series with a Unit Root. Journal of the American Statistical Association, 74(366a), 427-431. https://doi.org/10.1080/01621459.1979.10482531
  • Johansen, S. (1988). Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12(2), 231-254. https://doi.org/10.1016/0165-1889(88)90041-3
  • Kat, B., Şahin, Ü., Teimourzadeh, S., Tör, O. B., Voyvoda, E., & Yeldan, A. E. (2024). A new energy-economy-environment modeling framework: Insights from decarbonization of the Turkish power Sector towards net-zero Emission targets. Energy, 302, 131760. https://doi.org/10.1016/j.energy.2024.131760
  • Kwiatkowski, D., Phillips, P. C. B., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root? Journal of Econometrics, 54(1), 159-178. https://doi.org/10.1016/0304-4076(92)90104-Y
  • Lean, H. H., & Smyth, R. (2010). CO2 emissions, electricity consumption and output in ASEAN. Applied Energy, 87(6), 1858-1864. https://doi.org/10.1016/j.apenergy.2010.02.003
  • 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.
  • Narayan, P. K., & Smyth, R. (2006). What Determines Migration Flows from Low-Income to High-Income Countries? An Empirical Investigation of Fiji–U.s. Migration 1972–2001. Contemporary Economic Policy, 24(2), 332-342. https://doi.org/10.1093/cep/byj019
  • Onat, N. (2018). Türkiye’de yenilenebilir kaynaklardan elektrik enerjisi üretimi: Mevcut durum ve gelecek beklentileri.
  • Ozturk, I. (2010). A Literature Survey on Energy–Growth Nexus. Energy Policy, (38), 340-349.
  • Oztürk, I., & Acaravcı, A. (2013). The Long-Run and Causal Analysis of Energy, Growth, Openness and Financial Development on Carbon Emissions in Turkey. Energy Economics, (36), 262-267. https://doi.org/10.1016/j.eneco.2012.08.025
  • 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
  • Sadorsky, P. (2009). Renewable energy consumption and income in emerging economies. Energy Policy, 37(10), 4021-4028. https://doi.org/10.1016/j.enpol.2009.05.003
  • Soytas, U., & Sari, R. (2003). Energy consumption and GDP: Causality relationship in G-7 countries and emerging markets. Energy Economics, 25(1), 33-37. https://doi.org/10.1016/S0140-9883(02)00009-9
  • Toda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1), 225-250. https://doi.org/10.1016/0304-4076(94)01616-8
  • Wang, K., Lu, B., & Wei, Y.-M. (2014). China’s Regional Energy and Environmental Efficiency: A Range-Adjusted Measure Based Analysis. Center for Energy and Environmental Policy Research Beijing Institute of Technology, 61.
Toplam 21 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Ekolojik İktisat
Bölüm Makaleler
Yazarlar

Hayriye Taşcı 0000-0002-6402-3151

Yayımlanma Tarihi 27 Ekim 2025
Gönderilme Tarihi 17 Mayıs 2025
Kabul Tarihi 2 Eylül 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 18 Sayı: 4

Kaynak Göster

APA Taşcı, H. (2025). Toplam Elektrik Üretiminde Kömür ve Yenilenebilir Enerjinin Rolü: Ekonometrik Bir Değerlendirme. Ömer Halisdemir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 18(4), 1138-1149.
Creative Commons Lisansı
Ömer Halisdemir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi Creative Commons Atıf-GayriTicari-AynıLisanslaPaylaş 4.0 Uluslararası Lisansı ile lisanslanmıştır.