Research Article
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Year 2024, Volume: 6 Issue: 2, 28 - 49
https://doi.org/10.46959/jeess.1556704

Abstract

References

  • Ada Altun, A. (2011). Kümeleme analizi ile AB ülkeleri ve Türkiye’nin sürdürülebilir kalkınma açısından değerlendirilmesi. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, 29.
  • Aktaş, C. (2017). Causal relationship between coal consumption and economic growth in Türkiye. Ünye İktisadi ve İdari Bilimler Fakültesi Dergisi, 1(2), 78-83.
  • Aydemir, A. F., Atılgan, D. Türkmen, S. (2020). N11 ülkelerinde enerji kullanımı ve ekonomik büyüme: Panel nedensellik analizi. Atatürk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 24(2), 1027-1035.
  • BP. (2022). BP Energy Outlook. https://www.bp.com/content/dam/bp/business-sites/en/global/corporate/pdfs/energyeconomics/energy-outlook/bp-energy-outlook-2022.pdf.
  • Bragg‐Sitton, S. M., Boardman, R., Rabiti, C., O’Brien, J. (2020). Reimagining future energy systems: Overview of the US program to maximize energy utilization via integrated nuclear‐renewable energy systems. International Journal of Energy Research, 44(10), 8156-8169. https://doi.org/10.1002/er.5207.
  • Cheng-Yih H., Chen-Jung H. (2018). Economic growth, oil consumption and import intensity: factor decomposition of imported crude oil model approach. International Journal of Energy Economics and Policy, 8(4), 152-156.
  • Demir, Y., Gorur, C. (2020). OECD Ülkelerine Ait çeşitli enerji tüketimleri ve ekonomik büyüme arasındaki ilişkinin panel eşbütünleşme analizi ile incelenmesi. EKOIST Journal of Econometrics and Statistics, 32, 15-33. https://doi.org/10.26650/ekoist.2020.32.0005
  • Demir, Y., İşleyen, Ş., Özen, K. (2023). Determining the effect of selected energy consumptions on carbon dioxide emissions by ardl limit test. Van Yüzüncü Yıl University the Journal of Social Sciences Institute, 59, 80 – 107.
  • Everitt, B. (1980). Cluster analysis. Heineman Education Books: London.
  • Ewing, B. T., Sarı, R., Soytaş, U. (2007). Disaggregate energy consumption and industrial output in the United States. Energy Policy, 35, 1274-81. https://doi.org/10.1016/j.enpol.2006.03.012.
  • Eygu, H., Soğukpınar, F. (2023). Investigation of the relationship between renewable energy, natural gas, and coal consumption with economic growth in Türkiye: evidence from augmented ARDL approach. Environmental Science and Pollution Research, 30(20), 58213-58225. https://doi.org/10.1007/s11356-023-26551-y
  • Govender, P., Sivakumar, V. (2020). Application of k-means and hierarchical clustering techniques for analysis of air pollution: A review (1980–2019). Atmospheric Pollution Research, 11(1), 40-56. https://doi.org/10.1016/j.apr.2019.09.009.
  • Gülay, E., Pazarlıoğlu, M. V. (2016). The empirical role of real crude oil price and real exchange rate on economic growth: The case of Türkiye. Ege Academic Review, 16(4), 627-639.
  • Husin, H., Zaki, M. (2021). A critical review of the integration of renewable energy sources with various technologies. Protection and Control of Modern Power Systems, 6(1), 1-18. https://doi.org/10.1186/s41601-021-00181-3.
  • İşleyen, Ş. (2021). Clustering Analysis of employment sectors according to oecd countries using the k-average method. International Journal of Contemporary Economics and Administrative Sciences, XI(1), 093-105.
  • Kangallı Uyar, S. G., Uyar U., Buyrukoğlu, S. (2016). OECD ülkelerinde ekonomik özgürlük: Bir kümeleme analizi, Uluslararası Alanya İşletme Fakültesi Dergisi, 6(3), 95-109.
  • Kılınç, A., Eygü, H. (2018). OECD ülkelerinin yaşam beklentisinin Kümeleme analizi ile karşılaştırılması. UMTEB IV. Uluslararası Mesleki ve Teknik Bilimler Kongresi, 7-9 Aralık, Erzrum, 1621-1637.
  • Koyuncu, T., Karabulut, T. (2021). Türkiye’de sürdürülebilir kalkınma ve yeşil ekonomi açısından yenilenebilir enerji: Ampirik bir çalışma. Uluslararası Yönetim İktisat ve İşletme Dergisi, 17(2), 466- 482. https://doi.org/10.17130/ijmeb.800169.
  • Li, R., Leung, G. C. (2012). Coal consumption and economic growth in China. Energy Policy, 40, 438-443. https://doi.org/10.1016/j.enpol.2011.10.034.
  • Menyah, K., Wolde-Rufael, Y. (2010). CO2 emissions, nuclear energy renewable energy and economic growth in the US. Energy Policy, 38(6), 2911-2915. https://doi.org/10.1016/j.enpol.2010.01.024.
  • Mishra, P., Singh, G. (2023). Energy management systems in sustainable smart cities based on the internet of energy: A technical review. Energies, 16(19), 6903. https://doi.org/10.3390/en16196903.
  • Mulla, G. A. A., Demir, Y. (2023). The use of clustering and classification methods in machine learning. Cihan University-Erbil Scientific Journal (CUESJ), 7(1), 52-59.
  • Oğuz, O., Ozturk, I., Aslan, A. (2013). Coal consumption and economic growth in Türkiye. International Journal of Energy Economics and Policy, 3(2), 193-198.
  • Özen, K., İşleyen Ş., Görür, Ç. (2023). Investigation of the relationship between the use of selected energy types and agricultural area utilised by ARDL Bound test: the case of Türkiye. Van Yüzüncü Yıl Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi. 8(16). 354-372
  • Reynolds, D. B., Kolodziej, M. (2008). Former Soviet Union oil production and GDP decline: Granger-causality and the multi-cycle hubbert curve. Energy Economics, 30, 271-89. https://doi.org/10.1016/j.eneco.2006.05.021.
  • Şimşek, T., Aydın, H. İ. (2018). Gelişmiş ülkelerde nükleer enerji tüketimi ve ekonomik büyüme ilişkisi üzerine panel veri analizi. Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 23(Geybulla Ramazanoğlu Özel Sayısı), 727-737.
  • Singh, S. (2021). Energy crisis and climate change: Global concerns and their solutions. Energy: Crises, Challenges and Solutions, 1-17. https://doi.org/10.1002/9781119741503.ch1.
  • Soeder, D.J. (2021). Fossil fuels and climate change. In Fracking and the environment. Springer: Switzerland.
  • Tatlıdil, H. (2002). Uygulamalı çok değişkenli istatistiksel analiz. Akademi Matbaası: Ankara.
  • Tiwari, A. K., Apergis, N., Olayeni, O. R. (2015). Renewable and nonrenewable energy production and economic growth in sub-Saharan Africa: A hidden cointegration analysis. Applied Economics, 47(9), 861-882. https://doi.org/10.1080/00036846.2014.982855.
  • Uzgören, N., Keçek, G., Uzgören, E. (2013). Türkiye’de illerin beşeri sermayenin unsuru olan temel eğitim göstergeleri bakımından sınıflandırılması, temel bileşenler ve kümeleme analizi uygulaması. TİSK Akademi, 18(16), 119-133.
  • Westerlund, J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics and Statistics, 69(6), 709-748.
  • Yılmaz, Ö., Temurlenk, S. (2005). Türkiye’deki istatistik bölgelerin kişi başına düşen gelir açısından hiyerarşik ve hiyerarşik olmayan kümeleme analizi ile değerlendirilmesi: 1965-2001. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 19(2), 75-92.
  • Yoro, K. O., Daramola, M. O. (2020). CO2 emission sources, greenhouse gases, and the global warming effect. In Advances in carbon capture (pp. 3-28). Woodhead Publishing: Sawston, Cambridge.
  • Zafar A. S., Mohammad, I. H. (2018). Oil exports and economic growth: An empirical evidence from Saudi Arabia. International Journal of Energy Economics and Policy, 8(5), 281–287.
  • Zawaydeh, S. (2017). Economic, environmental and social impacts of developing energy from sustainable resources in Jordan. Strategic Planning for Energy and the Environment, 36(3), 24-52. https://doi.org/10.1080/10485236.2017.11810169.

ANALYSIS OF SELECTED COUNTRIES ACCORDING TO THEIR ENERGY CONSUMPTION BY CLUSTER ANALYSIS K-MEANS METHOD

Year 2024, Volume: 6 Issue: 2, 28 - 49
https://doi.org/10.46959/jeess.1556704

Abstract

In this study, countries (Australia, Austria, Azerbaijan, Belgium, Brazil, Bulgaria, Canada, China, Chile, Colombia, Denmark, Egypt, Finland, France, Germany, Greece, Hungary, India, Indonesia, Iran, Iraq, Italy, Japan, Kazakhstan, Luxembourg, Mexico, New Zealand, the Netherlands, Norway, Pakistan, Poland, Portugal, Russia, Spain, Sweden, Switzerland, Thailand, Turiye, the United Kingdom, the United States, and Uzbekistan) were clustered based on their energy consumption for the years 2000 and 2021. In line with the objectives of the study, data on nuclear energy, coal consumption, oil consumption, natural gas consumption, hydropower consumption, and renewable energy consumption were used to represent energy consumption.
The clustering analysis revealed differences between countries in the clusters formed between 2000 and 2021. The transition of countries such as Iran, the Netherlands, Mexico, and Luxembourg from Cluster 1 in 2000 to Cluster 2 in 2021 illustrates the complexity of changes in energy consumption patterns. Factors underlying these changes include changes in energy policies, economic conditions, international relations, and technological advances. Similarly, the transition of countries such as Canada, Germany, Italy, Spain, and the United Kingdom from Cluster 2 in 2000 to Cluster 1 in 2021 can be attributed to various factors such as changes in energy policies, economic growth or stagnation, technological progress, shifts in international trade relations, and environmental considerations.

References

  • Ada Altun, A. (2011). Kümeleme analizi ile AB ülkeleri ve Türkiye’nin sürdürülebilir kalkınma açısından değerlendirilmesi. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, 29.
  • Aktaş, C. (2017). Causal relationship between coal consumption and economic growth in Türkiye. Ünye İktisadi ve İdari Bilimler Fakültesi Dergisi, 1(2), 78-83.
  • Aydemir, A. F., Atılgan, D. Türkmen, S. (2020). N11 ülkelerinde enerji kullanımı ve ekonomik büyüme: Panel nedensellik analizi. Atatürk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 24(2), 1027-1035.
  • BP. (2022). BP Energy Outlook. https://www.bp.com/content/dam/bp/business-sites/en/global/corporate/pdfs/energyeconomics/energy-outlook/bp-energy-outlook-2022.pdf.
  • Bragg‐Sitton, S. M., Boardman, R., Rabiti, C., O’Brien, J. (2020). Reimagining future energy systems: Overview of the US program to maximize energy utilization via integrated nuclear‐renewable energy systems. International Journal of Energy Research, 44(10), 8156-8169. https://doi.org/10.1002/er.5207.
  • Cheng-Yih H., Chen-Jung H. (2018). Economic growth, oil consumption and import intensity: factor decomposition of imported crude oil model approach. International Journal of Energy Economics and Policy, 8(4), 152-156.
  • Demir, Y., Gorur, C. (2020). OECD Ülkelerine Ait çeşitli enerji tüketimleri ve ekonomik büyüme arasındaki ilişkinin panel eşbütünleşme analizi ile incelenmesi. EKOIST Journal of Econometrics and Statistics, 32, 15-33. https://doi.org/10.26650/ekoist.2020.32.0005
  • Demir, Y., İşleyen, Ş., Özen, K. (2023). Determining the effect of selected energy consumptions on carbon dioxide emissions by ardl limit test. Van Yüzüncü Yıl University the Journal of Social Sciences Institute, 59, 80 – 107.
  • Everitt, B. (1980). Cluster analysis. Heineman Education Books: London.
  • Ewing, B. T., Sarı, R., Soytaş, U. (2007). Disaggregate energy consumption and industrial output in the United States. Energy Policy, 35, 1274-81. https://doi.org/10.1016/j.enpol.2006.03.012.
  • Eygu, H., Soğukpınar, F. (2023). Investigation of the relationship between renewable energy, natural gas, and coal consumption with economic growth in Türkiye: evidence from augmented ARDL approach. Environmental Science and Pollution Research, 30(20), 58213-58225. https://doi.org/10.1007/s11356-023-26551-y
  • Govender, P., Sivakumar, V. (2020). Application of k-means and hierarchical clustering techniques for analysis of air pollution: A review (1980–2019). Atmospheric Pollution Research, 11(1), 40-56. https://doi.org/10.1016/j.apr.2019.09.009.
  • Gülay, E., Pazarlıoğlu, M. V. (2016). The empirical role of real crude oil price and real exchange rate on economic growth: The case of Türkiye. Ege Academic Review, 16(4), 627-639.
  • Husin, H., Zaki, M. (2021). A critical review of the integration of renewable energy sources with various technologies. Protection and Control of Modern Power Systems, 6(1), 1-18. https://doi.org/10.1186/s41601-021-00181-3.
  • İşleyen, Ş. (2021). Clustering Analysis of employment sectors according to oecd countries using the k-average method. International Journal of Contemporary Economics and Administrative Sciences, XI(1), 093-105.
  • Kangallı Uyar, S. G., Uyar U., Buyrukoğlu, S. (2016). OECD ülkelerinde ekonomik özgürlük: Bir kümeleme analizi, Uluslararası Alanya İşletme Fakültesi Dergisi, 6(3), 95-109.
  • Kılınç, A., Eygü, H. (2018). OECD ülkelerinin yaşam beklentisinin Kümeleme analizi ile karşılaştırılması. UMTEB IV. Uluslararası Mesleki ve Teknik Bilimler Kongresi, 7-9 Aralık, Erzrum, 1621-1637.
  • Koyuncu, T., Karabulut, T. (2021). Türkiye’de sürdürülebilir kalkınma ve yeşil ekonomi açısından yenilenebilir enerji: Ampirik bir çalışma. Uluslararası Yönetim İktisat ve İşletme Dergisi, 17(2), 466- 482. https://doi.org/10.17130/ijmeb.800169.
  • Li, R., Leung, G. C. (2012). Coal consumption and economic growth in China. Energy Policy, 40, 438-443. https://doi.org/10.1016/j.enpol.2011.10.034.
  • Menyah, K., Wolde-Rufael, Y. (2010). CO2 emissions, nuclear energy renewable energy and economic growth in the US. Energy Policy, 38(6), 2911-2915. https://doi.org/10.1016/j.enpol.2010.01.024.
  • Mishra, P., Singh, G. (2023). Energy management systems in sustainable smart cities based on the internet of energy: A technical review. Energies, 16(19), 6903. https://doi.org/10.3390/en16196903.
  • Mulla, G. A. A., Demir, Y. (2023). The use of clustering and classification methods in machine learning. Cihan University-Erbil Scientific Journal (CUESJ), 7(1), 52-59.
  • Oğuz, O., Ozturk, I., Aslan, A. (2013). Coal consumption and economic growth in Türkiye. International Journal of Energy Economics and Policy, 3(2), 193-198.
  • Özen, K., İşleyen Ş., Görür, Ç. (2023). Investigation of the relationship between the use of selected energy types and agricultural area utilised by ARDL Bound test: the case of Türkiye. Van Yüzüncü Yıl Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi. 8(16). 354-372
  • Reynolds, D. B., Kolodziej, M. (2008). Former Soviet Union oil production and GDP decline: Granger-causality and the multi-cycle hubbert curve. Energy Economics, 30, 271-89. https://doi.org/10.1016/j.eneco.2006.05.021.
  • Şimşek, T., Aydın, H. İ. (2018). Gelişmiş ülkelerde nükleer enerji tüketimi ve ekonomik büyüme ilişkisi üzerine panel veri analizi. Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 23(Geybulla Ramazanoğlu Özel Sayısı), 727-737.
  • Singh, S. (2021). Energy crisis and climate change: Global concerns and their solutions. Energy: Crises, Challenges and Solutions, 1-17. https://doi.org/10.1002/9781119741503.ch1.
  • Soeder, D.J. (2021). Fossil fuels and climate change. In Fracking and the environment. Springer: Switzerland.
  • Tatlıdil, H. (2002). Uygulamalı çok değişkenli istatistiksel analiz. Akademi Matbaası: Ankara.
  • Tiwari, A. K., Apergis, N., Olayeni, O. R. (2015). Renewable and nonrenewable energy production and economic growth in sub-Saharan Africa: A hidden cointegration analysis. Applied Economics, 47(9), 861-882. https://doi.org/10.1080/00036846.2014.982855.
  • Uzgören, N., Keçek, G., Uzgören, E. (2013). Türkiye’de illerin beşeri sermayenin unsuru olan temel eğitim göstergeleri bakımından sınıflandırılması, temel bileşenler ve kümeleme analizi uygulaması. TİSK Akademi, 18(16), 119-133.
  • Westerlund, J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics and Statistics, 69(6), 709-748.
  • Yılmaz, Ö., Temurlenk, S. (2005). Türkiye’deki istatistik bölgelerin kişi başına düşen gelir açısından hiyerarşik ve hiyerarşik olmayan kümeleme analizi ile değerlendirilmesi: 1965-2001. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 19(2), 75-92.
  • Yoro, K. O., Daramola, M. O. (2020). CO2 emission sources, greenhouse gases, and the global warming effect. In Advances in carbon capture (pp. 3-28). Woodhead Publishing: Sawston, Cambridge.
  • Zafar A. S., Mohammad, I. H. (2018). Oil exports and economic growth: An empirical evidence from Saudi Arabia. International Journal of Energy Economics and Policy, 8(5), 281–287.
  • Zawaydeh, S. (2017). Economic, environmental and social impacts of developing energy from sustainable resources in Jordan. Strategic Planning for Energy and the Environment, 36(3), 24-52. https://doi.org/10.1080/10485236.2017.11810169.
There are 36 citations in total.

Details

Primary Language English
Subjects Econometric and Statistical Methods
Journal Section Articles
Authors

Şakir İşleyen 0000-0002-8186-1990

Nazer Mhmadamın Mhmadshrif 0009-0002-7401-2891

Çetin Görür 0000-0002-9556-5068

Early Pub Date November 6, 2024
Publication Date
Submission Date September 26, 2024
Acceptance Date October 1, 2024
Published in Issue Year 2024 Volume: 6 Issue: 2

Cite

APA İşleyen, Ş., Mhmadshrif, N. M., & Görür, Ç. (2024). ANALYSIS OF SELECTED COUNTRIES ACCORDING TO THEIR ENERGY CONSUMPTION BY CLUSTER ANALYSIS K-MEANS METHOD. Journal of Empirical Economics and Social Sciences, 6(2), 28-49. https://doi.org/10.46959/jeess.1556704