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RENEWABLE ENERGY PERFORMANCE OF OECD COUNTRIES: A WINDOW ANALYSIS APPLICATION

Yıl 2019, Cilt: 37 Sayı: 1, 305 - 318, 01.03.2019

Öz

Global warming and climate change are two of the most popular and urgent issues to be solved in recent years for all countries in the world. Many international agreements and protocols have been signed to solve these two problems. The main goal of this act is to stop global warming and climate change by reducing the use of fossil fuels. The aim of this study is to evaluate the OECD countries' renewable energy performances and make proposals to guide future energy policies.
In the study, 35 countries in the OECD were taken as decision-making units. Per capita national income to demonstrate the renewable energy performance of OECD countries in 2010-2015 is included as input; electricity production quantities obtained by renewable energy sources as output variables. In the review, Window Analysis (WA) based on Data Envelopment Analysis (DEA) was used which is a powerful methodology used to determine the relative performance of Decision Making Units (DMUs).
As a result of the study, the top five countries with the highest renewable energy performance in 2010-2015 were Iceland, Finland, Portugal, Spain and Czech Republic respectively. The five countries with the lowest renewable energy performance are Mexico, Israel, Korea, Luxembourg and Switzerland. Turkey is taking 19th place in the relative renewable energy performance ranking among OECD countries. Increasing trend has been observed in Turkey's performance. Nevertheless, in order to be able to move to efficient position it is necessary to increase the renewable energy production by more than four-fold, almost five-fold.

Kaynakça

  • [1] Kim, K.T. , Lee, D.J., Park, S.J., Zhang, Y., Sultanov, A .(2015). Measuring the efficiency of the investment for renewable energy in Korea using data envelopment analysis. Renewable & Sustaınable Energy Revıews, 47, 694-702.
  • [2] Menegaki, A.N. (2013). Growth and renewable energy in Europe: Benchmarking with data envelopment analysis, Renewable Energy, 60, 363-369.
  • [3] Lins, M.E., Oliveira, L.B., da Silva, A.C.M., Rosai L.P., Pereira, A.O. (2012). Performance assessment of Alternative Energy Resources in Brazilian power sector using Data Envelopment Analysis, Renewable and Sustainable Energy Reviews, 16(1), 898-903.
  • [4] Wang, H. (2015). A generalized MCDA–DEA (multi-criterion decision analysis–data envelopment analysis) approach to construct slacks-based composite indicator. Energy, 80, 114-122.
  • [5] Woo, C., Chung, Y., Chun, Dongphil, Seo, H. and Hong, S. (2015). The static and dynamic environmental efficiency of renewable energy: A Malmquist index analysis of OECD countries, Renewable and Sustainable Energy Reviews, 47, 367-376.
  • [6] Xie, B.C., Shang, L.F., Yang, S.B., Yi, B.W. (2014). Dynamic environmental efficiency evaluation of electric power industries: Evidence from OECD (Organization for Economic Cooperation and Development) and BRIC (Brazil, Russia, India and China) countries, Energy, 74, 147-157.
  • [7] Zhou, P., Ang, B.W., Han, J.Y. (2010) Total factor carbon emission performance: A Malmquist index analysis. Energy Economics, 32(1), 194-201.
  • [8] Lyu, X. And Shi, A. (2018). Research on the Renewable Energy Industry Financing Efficiency Assessment and Mode Selection, Sustainability, 10(1), 222.
  • [9] Meleddu, M. and Pulina, M. (2018). Public spending on renewable energy in Italian regions. Renewable Energy, 115, 1086-1098.
  • [10] Sözen, A. and Karık, F. (2017). Comparison of Turkey’s renewable energy performance with OECD and BRICS countries by multiple criteria, Energy Sources, Part B: Economics, Planning, and Policy, 12(5), 487-494.
  • [11] Halkos, G.E. and Tzeremes, N.G. (2013). Renewable energy consumption and economic efficiency: Evidence from European countries, Journal of Renewable and Sustainable Energy, 5(4),0418031-13.
  • [12] Chien, T. And Hu, J.L. (2007). Renewable energy and macroeconomic efficiency of OECD and non-OECD economies, Energy Policy, 35(7), 3606-3615.
  • [13] Enerji ve Tabi Kaynaklar Bakanlığı ETKB. (2018). http://www.enerji.gov.tr/tr-TR/Enerji-ve-Tabii-Kaynaklar-Gorunumleri
  • [14] Australian Renewable Energy Agency ARENA. (2018). https://arena.gov.au/about/what-is-renewable-energy/
  • [15] International Renewable Energy Agency IRENA. (2017). http://www.irena.org/DocumentDownloads/Publications/IRENA_Renewable_energy_highlights_July_2017.pdf
  • [16] International Energy Agency IEA (2018). http://www.iea.org/statistics/
  • [17] International Energy Agency IEA (2015).http://www.worldenergyoutlook.org/weo2015/
  • [18] Charnes, A., Cooper, W. W., and Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429–444.
  • [19] Bakırcı, F. (2006). Üretimde Etkinlik ve Verimlilik Ölçümü Veri Zarflama Analizi Teori ve Uygulama. Atlas Yayınları,Turkey, 250.
  • [20] Banker, R.D., Charnes,A., Cooper, W.W.(1984), Some Models for Estimating Technical and Scale Inefficiences in Data Envelopment Analysis, Management Science, 30, 9, 1078-1092.
  • [21] Charnes, A., Clark, C.T., Cooper, W.W., Golany, B. (1985). A developmental study of data envelopment analysis in measuring the efficiency of maintenance units in the U.S. Air Forces. Ann Oper Res., 2(1), 95–112.
  • [22] Sözen, A., Alp, İ., and Kılınç, C. (2012). Efficiency Assensment of the Hydro-power in Turkey by Using Data Envelopment Analysis. Renewable Energy, 46(192-202).
  • [23] EMS: Efficiency Measurement System. http://www.holger-scheel.de/ems/
Yıl 2019, Cilt: 37 Sayı: 1, 305 - 318, 01.03.2019

Öz

Kaynakça

  • [1] Kim, K.T. , Lee, D.J., Park, S.J., Zhang, Y., Sultanov, A .(2015). Measuring the efficiency of the investment for renewable energy in Korea using data envelopment analysis. Renewable & Sustaınable Energy Revıews, 47, 694-702.
  • [2] Menegaki, A.N. (2013). Growth and renewable energy in Europe: Benchmarking with data envelopment analysis, Renewable Energy, 60, 363-369.
  • [3] Lins, M.E., Oliveira, L.B., da Silva, A.C.M., Rosai L.P., Pereira, A.O. (2012). Performance assessment of Alternative Energy Resources in Brazilian power sector using Data Envelopment Analysis, Renewable and Sustainable Energy Reviews, 16(1), 898-903.
  • [4] Wang, H. (2015). A generalized MCDA–DEA (multi-criterion decision analysis–data envelopment analysis) approach to construct slacks-based composite indicator. Energy, 80, 114-122.
  • [5] Woo, C., Chung, Y., Chun, Dongphil, Seo, H. and Hong, S. (2015). The static and dynamic environmental efficiency of renewable energy: A Malmquist index analysis of OECD countries, Renewable and Sustainable Energy Reviews, 47, 367-376.
  • [6] Xie, B.C., Shang, L.F., Yang, S.B., Yi, B.W. (2014). Dynamic environmental efficiency evaluation of electric power industries: Evidence from OECD (Organization for Economic Cooperation and Development) and BRIC (Brazil, Russia, India and China) countries, Energy, 74, 147-157.
  • [7] Zhou, P., Ang, B.W., Han, J.Y. (2010) Total factor carbon emission performance: A Malmquist index analysis. Energy Economics, 32(1), 194-201.
  • [8] Lyu, X. And Shi, A. (2018). Research on the Renewable Energy Industry Financing Efficiency Assessment and Mode Selection, Sustainability, 10(1), 222.
  • [9] Meleddu, M. and Pulina, M. (2018). Public spending on renewable energy in Italian regions. Renewable Energy, 115, 1086-1098.
  • [10] Sözen, A. and Karık, F. (2017). Comparison of Turkey’s renewable energy performance with OECD and BRICS countries by multiple criteria, Energy Sources, Part B: Economics, Planning, and Policy, 12(5), 487-494.
  • [11] Halkos, G.E. and Tzeremes, N.G. (2013). Renewable energy consumption and economic efficiency: Evidence from European countries, Journal of Renewable and Sustainable Energy, 5(4),0418031-13.
  • [12] Chien, T. And Hu, J.L. (2007). Renewable energy and macroeconomic efficiency of OECD and non-OECD economies, Energy Policy, 35(7), 3606-3615.
  • [13] Enerji ve Tabi Kaynaklar Bakanlığı ETKB. (2018). http://www.enerji.gov.tr/tr-TR/Enerji-ve-Tabii-Kaynaklar-Gorunumleri
  • [14] Australian Renewable Energy Agency ARENA. (2018). https://arena.gov.au/about/what-is-renewable-energy/
  • [15] International Renewable Energy Agency IRENA. (2017). http://www.irena.org/DocumentDownloads/Publications/IRENA_Renewable_energy_highlights_July_2017.pdf
  • [16] International Energy Agency IEA (2018). http://www.iea.org/statistics/
  • [17] International Energy Agency IEA (2015).http://www.worldenergyoutlook.org/weo2015/
  • [18] Charnes, A., Cooper, W. W., and Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429–444.
  • [19] Bakırcı, F. (2006). Üretimde Etkinlik ve Verimlilik Ölçümü Veri Zarflama Analizi Teori ve Uygulama. Atlas Yayınları,Turkey, 250.
  • [20] Banker, R.D., Charnes,A., Cooper, W.W.(1984), Some Models for Estimating Technical and Scale Inefficiences in Data Envelopment Analysis, Management Science, 30, 9, 1078-1092.
  • [21] Charnes, A., Clark, C.T., Cooper, W.W., Golany, B. (1985). A developmental study of data envelopment analysis in measuring the efficiency of maintenance units in the U.S. Air Forces. Ann Oper Res., 2(1), 95–112.
  • [22] Sözen, A., Alp, İ., and Kılınç, C. (2012). Efficiency Assensment of the Hydro-power in Turkey by Using Data Envelopment Analysis. Renewable Energy, 46(192-202).
  • [23] EMS: Efficiency Measurement System. http://www.holger-scheel.de/ems/
Toplam 23 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Research Articles
Yazarlar

Mihraç Küpeli Bu kişi benim 0000-0001-5403-8512

Seher Bodur Bu kişi benim 0000-0003-3636-3789

İhsan Alp Bu kişi benim 0000-0002-3819-6171

Yayımlanma Tarihi 1 Mart 2019
Gönderilme Tarihi 8 Ekim 2018
Yayımlandığı Sayı Yıl 2019 Cilt: 37 Sayı: 1

Kaynak Göster

Vancouver Küpeli M, Bodur S, Alp İ. RENEWABLE ENERGY PERFORMANCE OF OECD COUNTRIES: A WINDOW ANALYSIS APPLICATION. SIGMA. 2019;37(1):305-18.

IMPORTANT NOTE: JOURNAL SUBMISSION LINK https://eds.yildiz.edu.tr/sigma/