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Türkiye’de Birincil Enerji Tüketiminde Sektör Yakınsama Analizi

Year 2025, Volume: 10 Issue: 4, 1622 - 1654, 31.12.2025
https://doi.org/10.30784/epfad.1816147

Abstract

Bu çalışma, sektörlerin enerji tüketimini Phillips-Sul Kulüp Yakınsama modeli ile analiz etmeyi ve sektörlerin katma değeri, enerji tüketimi ve enerji fiyatlarındaki sapmalar arasındaki ilişkiyi Momentler Kantil Regresyonu yöntemi ile ele almayı amaçlamaktadır. Çalışmada ilk olarak, 1992-2021 dönemi için Türkiye’deki temel sektörler ve bunların alt sektörlerinin doğalgaz ve petrol ürünleri tüketimi kulüp yakınsama yöntemiyle incelenmiştir. Çalışmanın ikinci aşamasında ise sektörlerin faktör maliyetiyle katma değer verileri ele alınmış, enerji tüketimi ile enerji fiyatlarındaki sapmaların katma değere etkisi analiz edilmiştir. Analizin ilk aşamasında kulüp yakınsama yöntemi ile doğalgaz ve petrol ürünleri tüketiminde yakınsayan sektörler tespit edilmiştir. Doğalgaz tüketiminde sektörler arasında bir adet alt kulüp oluşurken, petrol tüketiminde ise üç adet alt kulüp tespit edilmiştir. Analizin ikinci aşamasında, yakınsayan sektörler için uygulanan Momentler Kantil Regresyonu sonuçlarına göre, petrol tüketiminin tüm kantillerde sektörlerin katma değerini pozitif etkilediği tespit edilmiştir. Sektörlerin doğalgaz tüketimi incelendiğinde ise sektörlerin katma değeri ile pozitif ve anlamlı bir ilişki söz konusudur.

Ethical Statement

Bu çalışma, etik kurul onayı ve/veya yasal/spesifik izin gerektirmemektedir ve araştırma ve yayın etiğine uygundur.

References

  • Anwar, A., Siddique, M., Dogan, E. and Sharif, A. (2021). The moderating role of renewable and non-renewable energy in environment-income nexus for ASEAN countries: Evidence from Method of Moments Quantile Regression. Renewable Energy, 164, 956-967. https://doi.org/10.1016/j.renene.2020.09.128
  • Apergis, N. and Christou, C. (2016). Energy productivity convergence: New evidence from club converging. Applied Economics Letters, 23(2), 142-145. https://doi.org/10.1080/13504851.2015.1058899
  • Apergis, N. and Payne, J.E. (2017). Per capita carbon dioxide emissions across US states by sector and fossil fuel source: Evidence from club convergence tests. Energy Economics, 63, 365-372. https://doi.org/10.1016/j.eneco.2016.11.027
  • Apergis, N., Christou, C. and Hassapis, C. (2013). Convergence in public expenditures across EU countries: Evidence from club convergence. Economics & Finance Research, 1(1), 45–59. https://doi.org/10.1080/21649480.2013.862735
  • Apergis, N., Ewing, B.T. and Payne, J.E. (2017a). Introduction: Symposium on energy sector convergence. Energy Economics, 62, 335-337. https://doi.org/10.1016/j.eneco.2016.09.015
  • Apergis, N., Fontini, F. and Inchauspe, J. (2017b). Integration of regional electricity markets in Australia: A price convergence assessment. Energy Economics, 62, 411-418. https://doi.org/10.1016/j.eneco.2016.06.022
  • Ayazoğlu, B. (2022). Seçilmiş OECD ülkelerinde kişi başi CO2 emisyonu ve toplam enerji tüketimleri yakınsama kulüpleri analizi (Master's thesis). Pamukkale University, Türkiye.
  • Baktemur, F.İ. and Özmen, M. (2016). AB-27 ülkeleri için gelir yakınsamasının mekânsal ekonometrik analiz ile tahmini. Çukurova Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 20(1), 1-10. Retrieved from https://dergipark.org.tr/tr/pub/cuiibfd
  • Baležentis, T., Butkus, M. and Štreimikienė, D. (2023). Energy productivity and GHG emission in the european agriculture: The club convergence approach. Journal of Environmental Management, 342, 118238. https://doi.org/10.1016/j.jenvman.2023.118238
  • Bangjun, W., Linyu, C., Feng, J. and Yue, W. (2023). Research on club convergence effect and its influencing factors of per capita energy consumption: Evidence from the data of 243 prefecture-level cities in China. Energy, 263, 125657. https://doi.org/10.1016/j.energy.2022.125657
  • Barro, R.J. and Sala-i-Martin, X. (1992). Convergence. Journal of Political Economy, 100(2), 223-251. Retrieved from https://www.jstor.org/journal/jpoliecon
  • Başar, S., Tosun, B. and Bartik, A. (2020). Türkiye’de büyüme ve sektörel bazda elektrik tüketimi arasındaki ilişki. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 34(3), 1089-1109. https://doi.org/10.16951/atauniiibd.724638
  • Baumol, W.J. (1986). Productivity growth, convergence, and welfare: What the long-run data show. American Economic Review, 76(5), 1072-85. Retrieved from https://www.jstor.org/
  • Bowden, N. and Payne, J.E. (2009). The causal relationship between US energy consumption and real output: A disaggregated analysis. Journal of Policy Modeling, 31(2), 180-188. https://doi.org/10.1016/j.jpolmod.2008.09.001
  • Bulut, M. (2020). Sektörel enerji tüketimi ve ekonomik büyüme ilişkisi (Master's thesis). Nevşehir Hacı Bektaş Veli University, Türkiye.
  • Burnett, J.W. (2016). Club convergence and clustering of US energy-related CO2 emissions. Resource and Energy Economics, 46, 62-84. https://doi.org/10.1016/j.reseneeco.2016.09.001
  • Canay, I.A. (2011). A simple approach to quantile regression for panel data. The Econometrics Journal, 14(3), 368-386. https://doi.org/10.1111/j.1368-423X.2011.00349.x
  • Chandio, A.A., Rauf, A., Jiang, Y., Ozturk, I. and Ahmad, F. (2019). Cointegration and causality analysis of dynamic linkage between industrial energy consumption and economic growth in Pakistan. Sustainability, 11(17), 4546. https://doi.org/10.3390/su11174546
  • Doğan, B. (2019). Enerji tüketimi ve büyüme ilişkisinin Türkiye’de sektörel uygulaması. B. Yuvalı ve T. Eğri (Eds.), 8.Türkiye Lisansüstü Çalışmaları Kongresi Bildiriler Kitabı-II içinde (ss. 191-207). 8. Türkiye Lisansüstü Çalışmaları Kongresi’nde sunulan bildiri, Malatya. Malatya: İLEM.
  • Doyar, B.V. (2015). Enerji tüketimi–ekonomik büyüme ilişkisi: Türkiye ekonomisi örneği (Master's thesis). Nevşehir Hacı Bektaş Veli Üniversitesi, Türkiye.
  • Du, L., Jiang, H., Adebayo, T.S., Awosusi, A.A. and Razzaq, A. (2022). Asymmetric effects of high-tech industry and renewable energy on consumption-based carbon emissions in MINT countries. Renewable Energy, 196, 1269-1280. https://doi.org/10.1016/j.renene.2022.07.028
  • EİGM. (2022). EIGM reports. Retrieved from https://www.enerji.gov.tr/eigm-raporlari
  • Erol, U. and Yu, E.S. (1987). On the causal relationship between energy and income for industrialized countries. The Journal of Energy and Development, 113-122. Retrieved from https://www.jstor.org/
  • Galor, O. (1996). Convergence? Inferences from theoretical models. The Economic Journal, 106(437), 1056-1069. https://doi.org/10.2307/2235378
  • Gökmen, B. (2019). Sanayi sektörü çıktı hacmi ve enerji tüketimi ilişkisi: Türkiye üzerine ampirik bir analiz (Master's thesis). Necmettin Erbakan University, Türkiye.
  • Gross, C. (2012). Explaining the (non-) causality between energy and economic growth in the U.S.—A multivariate sectoral analysis. Energy Economics, 34(2), 489-499. https://doi.org/10.1016/j.eneco.2011.12.002
  • He, W. and Chen, H. (2022). Will China's provincial per capita energy consumption converge to a common level over 1990–2017? Evidence from a club convergence approach. Energy, 249, 123624. https://doi.org/10.1016/j.energy.2022.123624
  • Herrerias, M.J., Aller, C. and Ordonez, J. (2017). Residential energy consumption: A convergence analysis across Chinese regions. Energy Economics, 62, 371-381. https://doi.org/10.1016/j.eneco.2016.06.006
  • Ivanovski, K., Churchill, S.A. and Smyth, R. (2018). A club convergence analysis of per capita energy consumption across Australian regions and sectors. Energy Economics, 76, 519-531. https://doi.org/10.1016/j.eneco.2018.10.035
  • Karimu, A., Brännlund, R., Lundgren, T. and Söderholm, P. (2017). Energy intensity and convergence in Swedish industry: A combined econometric and decomposition analysis. Energy Economics, 62, 347-356. https://doi.org/10.1016/j.eneco.2016.07.017
  • Khaddage-Soboh, N., Safi, A., Rasheed, M.F. and Hasnaoui, A. (2023). Examining the role of natural resource rent, environmental regulations, and environmental taxes in sustainable development: evidence from G-7 economies. Resources Policy, 86, 104071. https://doi.org/10.1016/j.resourpol.2023.104071
  • Khan, Z., Hossain, M. R., Badeeb, R.A. and Zhang, C. (2023). Aggregate and disaggregate impact of natural resources on economic performance: Role of green growth and human capital. Resources Policy, 80, 103103. https://doi.org/10.1016/j.resourpol.2022.103103
  • Kim, Y.S. (2015). Electricity consumption and economic development: Are countries converging to a common trend? Energy Economics, 49, 192-202. https://doi.org/10.1016/j.eneco.2015.02.001
  • Koç, Ü. (2020). Sektörel enerji tüketimi ve ekonomik büyüme. Third Sector Social Economic Review, 55(1), 508-521. https://doi.org/10.15659/3.sektor-sosyal-ekonomi.20.03.1289
  • Koenker, R. (2004). Quantile regression for longitudinal data. Journal of Multivariate Analysis, 91(1), 74-89. https://doi.org/10.1016/j.jmva.2004.05.006
  • Koenker, R. and Bassett Jr, G. (1978). Regression quantiles. Econometrica: Journal of the Econometric Society, 33-50. https://doi.org/10.2307/1913643
  • Kraft, J. and Kraft, A. (1978). On the relationship between energy and GNP. The Journal of Energy and Development, 3(2), 401-403. Retrieved from https://www.jstor.org/
  • Lamarche, C. (2010). Robust penalized quantile regression estimation for panel data. Journal of Econometrics, 157(2), 396-408. https://doi.org/10.1016/j.jeconom.2010.03.042
  • Liu, C., Hong, T., Li, H. and Wang, L. (2018). From club convergence of per capita industrial pollutant emissions to industrial transfer effects: An empirical study across 285 cities in China. Energy Policy, 121, 300-313. https://doi.org/10.1016/j.enpol.2018.06.039
  • Liu, F., Li, A. and Khan, Y. (2024). PM2.5 Neutrality goals: The role of government strengthen and digitalization in BRICS Countries. Air Quality, Atmosphere & Health, 17(11), 2615-2629. https://doi.org/10.1007/s11869-024-01592-5
  • Machado, J.A. and Silva, J.S. (2019). Quantiles via moments. Journal of Econometrics, 213(1), 145-173. https://doi.org/10.1016/j.jeconom.2019.04.009
  • Miao, Y., Razzaq, A., Adebayo, T.S. and Awosusi, A.A. (2022). Do renewable energy consumption and financial globalisation contribute to ecological sustainability in newly industrialized countries? Renewable Energy, 187, 688-697. https://doi.org/10.1016/j.renene.2022.01.073
  • Morales-Lage, R., Bengochea-Morancho, A., Camarero, M. and Martínez-Zarzoso, I. (2019). Club convergence of sectoral CO2 emissions in the European Union. Energy Policy, 135, 111019. https://doi.org/10.1016/j.enpol.2019.111019
  • Panopoulou, E. and Pantelidis, T. (2009). Club convergence in carbon dioxide emissions. Environmental and Resource Economics, 44(1), 47-70. https://doi.org/10.1007/s10640-008-9260-6
  • Parker, S. and Liddle, B. (2017). Economy-wide and manufacturing energy productivity transition paths and club convergence for OECD and non-OECD countries. Energy Economics, 62, 338-346. https://doi.org/10.1016/j.eneco.2016.07.018
  • Phillips, P.C. and Sul, D. (2007). Transition modeling and econometric convergence tests. Econometrica, 75(6), 1771-1855. https://doi.org/10.1111/j.1468-0262.2007.00811.x
  • Pinar, M. (2024). Convergence in renewable energy innovation and factors influencing convergence club formation. Renewable Energy, 220, 119607. https://doi.org/10.1016/j.renene.2023.119607
  • Rahman, M.H., Ruma, A., Hossain, M.N., Nahrin, R. and Majumder, S.C. (2021). Examine the empirical relationship between energy consumption and industrialization in Bangladesh: Granger causality analysis. International Journal of Energy Economics and Policy, 11(3), 121-129. https://doi.org/10.32479/ijeep.10843
  • Rahman, M.M. and Kashem, M.A. (2017). Carbon emissions, energy consumption and industrial growth in Bangladesh: Empirical evidence from ARDL cointegration and Granger causality analysis. Energy Policy, 110, 600-608. https://doi.org/10.1016/j.enpol.2017.09.006
  • Rios Avila, F., Siles, L. and Canavire-Bacarreza, G.J. (2024). Estimating quantile regressions with multiple fixed effects through method of moments (IZA DP No. 17262). Retrieved from https://www.jstor.org/stable/pdf/resrep69218.pdf?acceptTC=true&coverpage=false&addFooter=false
  • Saba, C.S. and Ngepah, N. (2022). Convergence in renewable energy sources and the dynamics of their determinants: An insight from a club clustering algorithm. Energy Reports, 8, 3483-3506. https://doi.org/10.1016/j.egyr.2022.01.190
  • Şahin, B.Y. (2022). Orta gelir grubu ülkelerde gelir yakınsaması: Phillips Sul kulüp yakınsama analizi. Asya Studies, 6(19), 179-188. https://doi.org/10.31455/asya.1023118
  • Sala-i-Martin, X.X. (1996). Regional cohesion: Evidence and theories of regional growth and convergence. European Economic Review, 40(6), 1325-1352. https://doi.org/10.1016/0014-2921(95)00029-1
  • Uçar, M. and Çoban, S. (2023). Ulaştırma sektöründeki enerji tüketimi, ekonomik büyüme ve çevresel kalite ilişkisi. Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi, 13(1), 485-506. https://doi.org/10.30783/nevsosbilen.1228732
  • Ulucak, R. and Apergis, N. (2018). Does convergence really matter for the environment? An application based on club convergence and on the ecological footprint concept for the EU countries. Environmental Science & Policy, 80, 21-27. https://doi.org/10.1016/j.envsci.2017.11.002
  • Usta, C. and Berber, M. (2017). Türkiye’de enerji tüketimi ekonomik büyüme ilişkisinin sektörel analizi. Ekonomik ve Sosyal Araştırmalar Dergisi, 13(1), 173-187. Erişim adresi: https://dergipark.org.tr/tr/pub/esad
  • Yağış, O. (2023). Doğalgaz tüketimi ve ekonomik büyüme ilişkisi: Batı Avrupa ülkeleri için Bootstrap panel nedensellik testi. Journal of Economic & Social Research, 10(20), 2148-1407. Erişim adresi: https://openurl.ebsco.com/
  • Zachariadis, T. (2007). Exploring the relationship between energy use and economic growth with bivariate models: New evidence from G-7 countries. Energy Economics, 29(6), 1233-1253. https://doi.org/10.1016/j.eneco.2007.05.001
  • Zhang, C. and Xu, J. (2012). Retesting the causality between energy consumption and GDP in China: Evidence from sectoral and regional analyses using dynamic panel data. Energy Economics, 34(6), 1782-1789. https://doi.org/10.1016/j.eneco.2012.07.012
  • Zhu, J. and Lin, B. (2020). Convergence analysis of city-level energy intensity in China. Energy Policy, 139, 111357. https://doi.org/10.1016/j.enpol.2020.111357

Sectoral Convergence Analysis of Primary Energy Consumption in Turkey

Year 2025, Volume: 10 Issue: 4, 1622 - 1654, 31.12.2025
https://doi.org/10.30784/epfad.1816147

Abstract

This study analyzes the energy consumption of sectors using the Phillips-Sul Club Convergence model and examines the relationship between sector value added, energy consumption, and deviations in energy prices via Quantile Moments Regression. First, the consumption of natural gas and petroleum products in the main sectors and sub-sectors in Turkey for the period 1992-2021 is examined using the club convergence method. In the second stage of the study, the factor cost and value-added data of the sectors are considered, and the effect of energy consumption and deviations in energy prices on value added is analyzed. In the first stage of the analysis, one club was identified in natural gas consumption among the sectors, while three clubs were identified in petroleum consumption. In the second stage of the analysis, according to the regression results applied to the converging sectors, it was determined that petroleum consumption positively affects the value added of the sectors in all quantiles. A positive and significant relationship was observed between the value added and natural gas consumption of the sectors.

References

  • Anwar, A., Siddique, M., Dogan, E. and Sharif, A. (2021). The moderating role of renewable and non-renewable energy in environment-income nexus for ASEAN countries: Evidence from Method of Moments Quantile Regression. Renewable Energy, 164, 956-967. https://doi.org/10.1016/j.renene.2020.09.128
  • Apergis, N. and Christou, C. (2016). Energy productivity convergence: New evidence from club converging. Applied Economics Letters, 23(2), 142-145. https://doi.org/10.1080/13504851.2015.1058899
  • Apergis, N. and Payne, J.E. (2017). Per capita carbon dioxide emissions across US states by sector and fossil fuel source: Evidence from club convergence tests. Energy Economics, 63, 365-372. https://doi.org/10.1016/j.eneco.2016.11.027
  • Apergis, N., Christou, C. and Hassapis, C. (2013). Convergence in public expenditures across EU countries: Evidence from club convergence. Economics & Finance Research, 1(1), 45–59. https://doi.org/10.1080/21649480.2013.862735
  • Apergis, N., Ewing, B.T. and Payne, J.E. (2017a). Introduction: Symposium on energy sector convergence. Energy Economics, 62, 335-337. https://doi.org/10.1016/j.eneco.2016.09.015
  • Apergis, N., Fontini, F. and Inchauspe, J. (2017b). Integration of regional electricity markets in Australia: A price convergence assessment. Energy Economics, 62, 411-418. https://doi.org/10.1016/j.eneco.2016.06.022
  • Ayazoğlu, B. (2022). Seçilmiş OECD ülkelerinde kişi başi CO2 emisyonu ve toplam enerji tüketimleri yakınsama kulüpleri analizi (Master's thesis). Pamukkale University, Türkiye.
  • Baktemur, F.İ. and Özmen, M. (2016). AB-27 ülkeleri için gelir yakınsamasının mekânsal ekonometrik analiz ile tahmini. Çukurova Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 20(1), 1-10. Retrieved from https://dergipark.org.tr/tr/pub/cuiibfd
  • Baležentis, T., Butkus, M. and Štreimikienė, D. (2023). Energy productivity and GHG emission in the european agriculture: The club convergence approach. Journal of Environmental Management, 342, 118238. https://doi.org/10.1016/j.jenvman.2023.118238
  • Bangjun, W., Linyu, C., Feng, J. and Yue, W. (2023). Research on club convergence effect and its influencing factors of per capita energy consumption: Evidence from the data of 243 prefecture-level cities in China. Energy, 263, 125657. https://doi.org/10.1016/j.energy.2022.125657
  • Barro, R.J. and Sala-i-Martin, X. (1992). Convergence. Journal of Political Economy, 100(2), 223-251. Retrieved from https://www.jstor.org/journal/jpoliecon
  • Başar, S., Tosun, B. and Bartik, A. (2020). Türkiye’de büyüme ve sektörel bazda elektrik tüketimi arasındaki ilişki. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 34(3), 1089-1109. https://doi.org/10.16951/atauniiibd.724638
  • Baumol, W.J. (1986). Productivity growth, convergence, and welfare: What the long-run data show. American Economic Review, 76(5), 1072-85. Retrieved from https://www.jstor.org/
  • Bowden, N. and Payne, J.E. (2009). The causal relationship between US energy consumption and real output: A disaggregated analysis. Journal of Policy Modeling, 31(2), 180-188. https://doi.org/10.1016/j.jpolmod.2008.09.001
  • Bulut, M. (2020). Sektörel enerji tüketimi ve ekonomik büyüme ilişkisi (Master's thesis). Nevşehir Hacı Bektaş Veli University, Türkiye.
  • Burnett, J.W. (2016). Club convergence and clustering of US energy-related CO2 emissions. Resource and Energy Economics, 46, 62-84. https://doi.org/10.1016/j.reseneeco.2016.09.001
  • Canay, I.A. (2011). A simple approach to quantile regression for panel data. The Econometrics Journal, 14(3), 368-386. https://doi.org/10.1111/j.1368-423X.2011.00349.x
  • Chandio, A.A., Rauf, A., Jiang, Y., Ozturk, I. and Ahmad, F. (2019). Cointegration and causality analysis of dynamic linkage between industrial energy consumption and economic growth in Pakistan. Sustainability, 11(17), 4546. https://doi.org/10.3390/su11174546
  • Doğan, B. (2019). Enerji tüketimi ve büyüme ilişkisinin Türkiye’de sektörel uygulaması. B. Yuvalı ve T. Eğri (Eds.), 8.Türkiye Lisansüstü Çalışmaları Kongresi Bildiriler Kitabı-II içinde (ss. 191-207). 8. Türkiye Lisansüstü Çalışmaları Kongresi’nde sunulan bildiri, Malatya. Malatya: İLEM.
  • Doyar, B.V. (2015). Enerji tüketimi–ekonomik büyüme ilişkisi: Türkiye ekonomisi örneği (Master's thesis). Nevşehir Hacı Bektaş Veli Üniversitesi, Türkiye.
  • Du, L., Jiang, H., Adebayo, T.S., Awosusi, A.A. and Razzaq, A. (2022). Asymmetric effects of high-tech industry and renewable energy on consumption-based carbon emissions in MINT countries. Renewable Energy, 196, 1269-1280. https://doi.org/10.1016/j.renene.2022.07.028
  • EİGM. (2022). EIGM reports. Retrieved from https://www.enerji.gov.tr/eigm-raporlari
  • Erol, U. and Yu, E.S. (1987). On the causal relationship between energy and income for industrialized countries. The Journal of Energy and Development, 113-122. Retrieved from https://www.jstor.org/
  • Galor, O. (1996). Convergence? Inferences from theoretical models. The Economic Journal, 106(437), 1056-1069. https://doi.org/10.2307/2235378
  • Gökmen, B. (2019). Sanayi sektörü çıktı hacmi ve enerji tüketimi ilişkisi: Türkiye üzerine ampirik bir analiz (Master's thesis). Necmettin Erbakan University, Türkiye.
  • Gross, C. (2012). Explaining the (non-) causality between energy and economic growth in the U.S.—A multivariate sectoral analysis. Energy Economics, 34(2), 489-499. https://doi.org/10.1016/j.eneco.2011.12.002
  • He, W. and Chen, H. (2022). Will China's provincial per capita energy consumption converge to a common level over 1990–2017? Evidence from a club convergence approach. Energy, 249, 123624. https://doi.org/10.1016/j.energy.2022.123624
  • Herrerias, M.J., Aller, C. and Ordonez, J. (2017). Residential energy consumption: A convergence analysis across Chinese regions. Energy Economics, 62, 371-381. https://doi.org/10.1016/j.eneco.2016.06.006
  • Ivanovski, K., Churchill, S.A. and Smyth, R. (2018). A club convergence analysis of per capita energy consumption across Australian regions and sectors. Energy Economics, 76, 519-531. https://doi.org/10.1016/j.eneco.2018.10.035
  • Karimu, A., Brännlund, R., Lundgren, T. and Söderholm, P. (2017). Energy intensity and convergence in Swedish industry: A combined econometric and decomposition analysis. Energy Economics, 62, 347-356. https://doi.org/10.1016/j.eneco.2016.07.017
  • Khaddage-Soboh, N., Safi, A., Rasheed, M.F. and Hasnaoui, A. (2023). Examining the role of natural resource rent, environmental regulations, and environmental taxes in sustainable development: evidence from G-7 economies. Resources Policy, 86, 104071. https://doi.org/10.1016/j.resourpol.2023.104071
  • Khan, Z., Hossain, M. R., Badeeb, R.A. and Zhang, C. (2023). Aggregate and disaggregate impact of natural resources on economic performance: Role of green growth and human capital. Resources Policy, 80, 103103. https://doi.org/10.1016/j.resourpol.2022.103103
  • Kim, Y.S. (2015). Electricity consumption and economic development: Are countries converging to a common trend? Energy Economics, 49, 192-202. https://doi.org/10.1016/j.eneco.2015.02.001
  • Koç, Ü. (2020). Sektörel enerji tüketimi ve ekonomik büyüme. Third Sector Social Economic Review, 55(1), 508-521. https://doi.org/10.15659/3.sektor-sosyal-ekonomi.20.03.1289
  • Koenker, R. (2004). Quantile regression for longitudinal data. Journal of Multivariate Analysis, 91(1), 74-89. https://doi.org/10.1016/j.jmva.2004.05.006
  • Koenker, R. and Bassett Jr, G. (1978). Regression quantiles. Econometrica: Journal of the Econometric Society, 33-50. https://doi.org/10.2307/1913643
  • Kraft, J. and Kraft, A. (1978). On the relationship between energy and GNP. The Journal of Energy and Development, 3(2), 401-403. Retrieved from https://www.jstor.org/
  • Lamarche, C. (2010). Robust penalized quantile regression estimation for panel data. Journal of Econometrics, 157(2), 396-408. https://doi.org/10.1016/j.jeconom.2010.03.042
  • Liu, C., Hong, T., Li, H. and Wang, L. (2018). From club convergence of per capita industrial pollutant emissions to industrial transfer effects: An empirical study across 285 cities in China. Energy Policy, 121, 300-313. https://doi.org/10.1016/j.enpol.2018.06.039
  • Liu, F., Li, A. and Khan, Y. (2024). PM2.5 Neutrality goals: The role of government strengthen and digitalization in BRICS Countries. Air Quality, Atmosphere & Health, 17(11), 2615-2629. https://doi.org/10.1007/s11869-024-01592-5
  • Machado, J.A. and Silva, J.S. (2019). Quantiles via moments. Journal of Econometrics, 213(1), 145-173. https://doi.org/10.1016/j.jeconom.2019.04.009
  • Miao, Y., Razzaq, A., Adebayo, T.S. and Awosusi, A.A. (2022). Do renewable energy consumption and financial globalisation contribute to ecological sustainability in newly industrialized countries? Renewable Energy, 187, 688-697. https://doi.org/10.1016/j.renene.2022.01.073
  • Morales-Lage, R., Bengochea-Morancho, A., Camarero, M. and Martínez-Zarzoso, I. (2019). Club convergence of sectoral CO2 emissions in the European Union. Energy Policy, 135, 111019. https://doi.org/10.1016/j.enpol.2019.111019
  • Panopoulou, E. and Pantelidis, T. (2009). Club convergence in carbon dioxide emissions. Environmental and Resource Economics, 44(1), 47-70. https://doi.org/10.1007/s10640-008-9260-6
  • Parker, S. and Liddle, B. (2017). Economy-wide and manufacturing energy productivity transition paths and club convergence for OECD and non-OECD countries. Energy Economics, 62, 338-346. https://doi.org/10.1016/j.eneco.2016.07.018
  • Phillips, P.C. and Sul, D. (2007). Transition modeling and econometric convergence tests. Econometrica, 75(6), 1771-1855. https://doi.org/10.1111/j.1468-0262.2007.00811.x
  • Pinar, M. (2024). Convergence in renewable energy innovation and factors influencing convergence club formation. Renewable Energy, 220, 119607. https://doi.org/10.1016/j.renene.2023.119607
  • Rahman, M.H., Ruma, A., Hossain, M.N., Nahrin, R. and Majumder, S.C. (2021). Examine the empirical relationship between energy consumption and industrialization in Bangladesh: Granger causality analysis. International Journal of Energy Economics and Policy, 11(3), 121-129. https://doi.org/10.32479/ijeep.10843
  • Rahman, M.M. and Kashem, M.A. (2017). Carbon emissions, energy consumption and industrial growth in Bangladesh: Empirical evidence from ARDL cointegration and Granger causality analysis. Energy Policy, 110, 600-608. https://doi.org/10.1016/j.enpol.2017.09.006
  • Rios Avila, F., Siles, L. and Canavire-Bacarreza, G.J. (2024). Estimating quantile regressions with multiple fixed effects through method of moments (IZA DP No. 17262). Retrieved from https://www.jstor.org/stable/pdf/resrep69218.pdf?acceptTC=true&coverpage=false&addFooter=false
  • Saba, C.S. and Ngepah, N. (2022). Convergence in renewable energy sources and the dynamics of their determinants: An insight from a club clustering algorithm. Energy Reports, 8, 3483-3506. https://doi.org/10.1016/j.egyr.2022.01.190
  • Şahin, B.Y. (2022). Orta gelir grubu ülkelerde gelir yakınsaması: Phillips Sul kulüp yakınsama analizi. Asya Studies, 6(19), 179-188. https://doi.org/10.31455/asya.1023118
  • Sala-i-Martin, X.X. (1996). Regional cohesion: Evidence and theories of regional growth and convergence. European Economic Review, 40(6), 1325-1352. https://doi.org/10.1016/0014-2921(95)00029-1
  • Uçar, M. and Çoban, S. (2023). Ulaştırma sektöründeki enerji tüketimi, ekonomik büyüme ve çevresel kalite ilişkisi. Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi, 13(1), 485-506. https://doi.org/10.30783/nevsosbilen.1228732
  • Ulucak, R. and Apergis, N. (2018). Does convergence really matter for the environment? An application based on club convergence and on the ecological footprint concept for the EU countries. Environmental Science & Policy, 80, 21-27. https://doi.org/10.1016/j.envsci.2017.11.002
  • Usta, C. and Berber, M. (2017). Türkiye’de enerji tüketimi ekonomik büyüme ilişkisinin sektörel analizi. Ekonomik ve Sosyal Araştırmalar Dergisi, 13(1), 173-187. Erişim adresi: https://dergipark.org.tr/tr/pub/esad
  • Yağış, O. (2023). Doğalgaz tüketimi ve ekonomik büyüme ilişkisi: Batı Avrupa ülkeleri için Bootstrap panel nedensellik testi. Journal of Economic & Social Research, 10(20), 2148-1407. Erişim adresi: https://openurl.ebsco.com/
  • Zachariadis, T. (2007). Exploring the relationship between energy use and economic growth with bivariate models: New evidence from G-7 countries. Energy Economics, 29(6), 1233-1253. https://doi.org/10.1016/j.eneco.2007.05.001
  • Zhang, C. and Xu, J. (2012). Retesting the causality between energy consumption and GDP in China: Evidence from sectoral and regional analyses using dynamic panel data. Energy Economics, 34(6), 1782-1789. https://doi.org/10.1016/j.eneco.2012.07.012
  • Zhu, J. and Lin, B. (2020). Convergence analysis of city-level energy intensity in China. Energy Policy, 139, 111357. https://doi.org/10.1016/j.enpol.2020.111357
There are 60 citations in total.

Details

Primary Language English
Subjects Environmental Economy
Journal Section Research Article
Authors

Ezgi Doğan 0000-0002-7751-7687

Celal Taşdoğan 0000-0002-8626-8862

Submission Date November 2, 2025
Acceptance Date December 29, 2025
Publication Date December 31, 2025
Published in Issue Year 2025 Volume: 10 Issue: 4

Cite

APA Doğan, E., & Taşdoğan, C. (2025). Sectoral Convergence Analysis of Primary Energy Consumption in Turkey. Ekonomi Politika Ve Finans Araştırmaları Dergisi, 10(4), 1622-1654. https://doi.org/10.30784/epfad.1816147