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ENVIRONMENTAL AND ECONOMIC GROWTH ORIENTED ENERGY EFFICIENCY IN G-11 COUNTRIES: EVIDENCE FROM DEA AND MALMQUIST TOTAL FACTOR PRODUCTIVITY INDEX

Year 2025, Issue: 48, 365 - 376, 31.07.2025
https://doi.org/10.18092/ulikidince.1685643

Abstract

The aim of this study is to examine the energy efficiency oriented environmental and economic growth in G-11 countries in the time period 2000-2023. Data envelopment analysis (DEA) and Malmquist total factor productivity (TFP) index methods were used in the analysis. The findings obtained in the study, respectively, indicate that the input-oriented model findings established under the assumption of constant returns to scale indicate that the efficiency of decision-making units decreased in the period in question, however, the USA, Japan, Australia, Netherlands and Switzerland were effective in all periods. The country with the lowest efficiency value in the relevant period is Canada. The input-oriented model findings established under the assumption of variable returns to scale indicate that the efficiency of decision-making units decreased in the period 2000-2023, furthermore, the USA, Japan, Australia, Belgium, Netherlands and Switzerland were effective in all periods. As a result of the study, according to the Malmquist TFP index findings, environmental and growth-oriented energy efficiency is achieved in Canada, Italy, Spain, Sweden and Switzerland.

Ethical Statement

This article contains a study that does not require ethics committee approval.

References

  • Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30(9), 1078-1092.
  • Bian Y, Yang F (2010) Resource and Environment Efficiency Analysis of Provinces in China: A DEA Approach Based on Shannon’s Entropy. Energy Policy, 38(4),1909–1917.
  • BP-British Petroluem (2024) Statiscal Review of Energy [Online] https://www.bp.com/en /global/corporate/energy-economics.html Accessed 02/03/2025
  • Campoli, J. S., Junior, P. N. A., Kodama, T. K., Nagano, M. S.and Burnquist, H. L. (2024) G20 Countries’ Progress on the 7th SDG Under Circular Economy DEA Model. Environmental Science & Policy, 160, 103839.
  • Charnes, A., Cooper, W. W., and Rhodes, E. (1978) Measuring the Efficiency of Decision Making Units. European Journal of Operational Research, 2(6), 429-444.
  • Fathi, B., Ashena, M. and Bahari, A. R. (2021) Energy, Environmental, and Economic Efficiency in) Energy Exporting Countries: A Modified Data Envelopment Analysis Approach. Sustainable Production and Consumption, 26, 588-596.
  • Hermoso-Orzáez, M. J., García-Alguacil, M., Terrados-Cepeda, J. and Brito, P. (2020) Measurement of Environmental Efficiency in the Countries of the European Union with the Enhanced Data Envelopment Analysis Method (DEA) During the Period 2005–2012. Environmental Science and Pollution Research, 27(13), 15691-15715.
  • Hu J.L, Wang S.C. (2006) Total-factor Energy Efficiency of Regions in China. Energy Policy 34(17),3206–3217.
  • IEA-International Energy Agency (2024) Energy Efiiciency Report 2024 [Online]. https://www.iea. org/reports/energy-efficiency-2024 Accessed 05/02/2025
  • Khadimee, M. (2016) The Sources of Economic Growth in Iran’s Economy, Journal of Economics Library, 3(4), 621-630.
  • Kucuk, G. and Yuce Dural, B. (2022) Avrupa Yesil Mutabakatı ve Yesil Ekonomiye Gecis: Enerji Senaryoları Uzerinden Bir Degerlendirme. Anadolu Universitesi Sosyal Bilimler Dergisi, 22(1), 137-156.
  • Lian, M. (2024) The Impact of Cleaner Energy Sources, Advanced Technology Firms and Economic Expansion on Ecological Footprints is Critical in Sustainable Development. Heliyon, 10(11),
  • Liu, Z., Xu, J., Wei, Y., Hatab, A. A., and Lan, J. (2023) Nexus Between Green Financing, Renewable Energy Generation and Energy Efficiency: Empirical Insights through DEA Technique. Environmental Science and Pollution Research, 30(22), 61290-61303.
  • Maya, N. X., Prieto, M. M., and Megido, L. (2024) Energy Efficiency in Middle-Income Countries with DEA: An Approach for Latin America. Sustainable Futures, 8, 100345.
  • Noveiri, M. J. S., Shabani, M., and Kordrostami, S. (2025) Assessing Circular Economy Performance of OECD Countries: A Double-frontier Multi-period DEA with Flexible Measures. Renewable Energy, 246, 122851.
  • Planning Commission (2006) Integrated Energy Policy- Report of the Expert Committee [Online]. http://planningcommission.gov.in/reports/genrep/repintengy.pdf Accessed: 18/02/2025
  • Sahin, G. (2022) Dogal Gaz Talep Tahmininin Yapay Sinir Agları ile Modellenmesi: Danimarka Ornegi. Ankara Hacı Bayram Veli Universitesi İktisadi ve İdari Bilimler Fakultesi Dergisi, 24(1), 360-385.
  • Seyhan, N. and Seyhan, B. (2022) Yenilenebilir Enerji Ekonomik Buyume İlişkisi Acisindan Turkiye ve AB Ulkelerinin Malmquist Endeksi ile Performans İncelemesi. Insan ve Toplum Bilimleri Arastırmaları Dergisi, 11(2), 1022-1044.
  • Shen, Y., Yue, S., Sun, S. and Guo, M. (2020) Sustainable Total Factor Productivity Growth: The Case of China. Journal of Cleaner Production, 256, 120727.
  • Telli, R. (2023) Beseri Kalkınmada Yuksekogretim Kalite Guvencesi Sisteminin Etkinligine Yonelik Bir Analiz. Uluslararası Sosyal ve Beseri Bilimler Araştırma Dergisi, 10(99), 2213-2226.
  • Tugcu, C. T. and Tiwari, A. K. (2016) Does Renewable and/or Non-Renewable Energy Consumption Matter for Total Factor Productivity (TFP) Growth? Evidence from the BRICS, Renewable and Sustainable Energy Reviews, 65, 610-616.
  • Uzgoren, E. and Sahin, G. (2013) Dumlupınar Universitesi Meslek Yuksekokullari’nin Performanslarinin Veri Zarflama Analizi Yontemiyle Olcumu. Uluslararasi Yonetim Iktisat ve İsletme Dergisi, 9(18), 91-110.
  • Vaninsky, A. (2018) Energy-Environmental Efficiency and Optimal Restructuring of the Global Economy. Energy, 153, 338-348.
  • Worlbank (2024) World Development Indicators [Online]. https://databank.worldbank.org/ indicator/NY.GDP.MKTP.KD.ZG/1ff4a498/PopularIndicators Accessed 20/03/2025
  • Wu, J., Zhu, Q., Yin, P., and Song, M. (2017) Measuring Energy and Environmental Performance for Regions in China by Using DEA-Based Malmquist Indices. Operational Research, 17, 715-735.
  • Zhang, C., Zhu, H., and Li, X. (2024) Which Productivity Can Promote Clean Energy Transition—Total Factor Productivity or Green Total Factor Productivity? Journal of Environmental Management, 366, 12189.

G-11 ÜLKELERİNDE ÇEVRESEL VE EKONOMİK BÜYÜME ODAKLI ENERJİ VERİMLİLİĞİ: VZA VE MALMQUIST TOPLAM FAKTÖR VERİMLİLİĞİ ENDEKSİNDEN KANITLAR

Year 2025, Issue: 48, 365 - 376, 31.07.2025
https://doi.org/10.18092/ulikidince.1685643

Abstract

Bu çalışmanın amacı, 2000-2023 zaman diliminde G-11 ülkelerinde çevresel ve ekonomik büyümeye odaklanan enerji verimliliğini incelemektir. Veri zarflama analizi (VZA) ve Malmquist toplam faktör verimliliği (TFV) endeksi yöntemleri analizde kullanılmıştır. Çalışmada elde edlen bulgular sırasıyla ölçeğe göre sabit getiri varsayımı altında kurulan girdi yönelimli model bulguları, söz konusu dönem aralığında karar verme birimlerinin etkinliğinin azaldığını, bununla birlikte ABD, Japonya, Avustralya, Hollanda ve İsviçre’nin tüm dönemlerde etkin olduklarını belirtmektedir. İlgili dönemde etkinlik değeri en düşük olan ülke Kanada’dır. Ölçeğe göre değişken getiri varsayımı altında kurulan girdi yönelimli model bulguları, 2000-2023 döneminde karar verme birimlerinin etkinliğinin azaldığını, ayrıca ABD, Japonya, Avustralya, Belçika, Hollanda ve İsviçre’nin tüm dönemlerde etkin olduklarını açıklamaktadır. Çalışmanın sonucunda Malmquist TFP endeksi bulgularına göre ise Kanada, İtalya, İspanya, İsveç ve İsviçre’de çevresel ve büyüme odaklı enerji verimliliğinin gerçekleştiğini göstermektedir.

References

  • Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30(9), 1078-1092.
  • Bian Y, Yang F (2010) Resource and Environment Efficiency Analysis of Provinces in China: A DEA Approach Based on Shannon’s Entropy. Energy Policy, 38(4),1909–1917.
  • BP-British Petroluem (2024) Statiscal Review of Energy [Online] https://www.bp.com/en /global/corporate/energy-economics.html Accessed 02/03/2025
  • Campoli, J. S., Junior, P. N. A., Kodama, T. K., Nagano, M. S.and Burnquist, H. L. (2024) G20 Countries’ Progress on the 7th SDG Under Circular Economy DEA Model. Environmental Science & Policy, 160, 103839.
  • Charnes, A., Cooper, W. W., and Rhodes, E. (1978) Measuring the Efficiency of Decision Making Units. European Journal of Operational Research, 2(6), 429-444.
  • Fathi, B., Ashena, M. and Bahari, A. R. (2021) Energy, Environmental, and Economic Efficiency in) Energy Exporting Countries: A Modified Data Envelopment Analysis Approach. Sustainable Production and Consumption, 26, 588-596.
  • Hermoso-Orzáez, M. J., García-Alguacil, M., Terrados-Cepeda, J. and Brito, P. (2020) Measurement of Environmental Efficiency in the Countries of the European Union with the Enhanced Data Envelopment Analysis Method (DEA) During the Period 2005–2012. Environmental Science and Pollution Research, 27(13), 15691-15715.
  • Hu J.L, Wang S.C. (2006) Total-factor Energy Efficiency of Regions in China. Energy Policy 34(17),3206–3217.
  • IEA-International Energy Agency (2024) Energy Efiiciency Report 2024 [Online]. https://www.iea. org/reports/energy-efficiency-2024 Accessed 05/02/2025
  • Khadimee, M. (2016) The Sources of Economic Growth in Iran’s Economy, Journal of Economics Library, 3(4), 621-630.
  • Kucuk, G. and Yuce Dural, B. (2022) Avrupa Yesil Mutabakatı ve Yesil Ekonomiye Gecis: Enerji Senaryoları Uzerinden Bir Degerlendirme. Anadolu Universitesi Sosyal Bilimler Dergisi, 22(1), 137-156.
  • Lian, M. (2024) The Impact of Cleaner Energy Sources, Advanced Technology Firms and Economic Expansion on Ecological Footprints is Critical in Sustainable Development. Heliyon, 10(11),
  • Liu, Z., Xu, J., Wei, Y., Hatab, A. A., and Lan, J. (2023) Nexus Between Green Financing, Renewable Energy Generation and Energy Efficiency: Empirical Insights through DEA Technique. Environmental Science and Pollution Research, 30(22), 61290-61303.
  • Maya, N. X., Prieto, M. M., and Megido, L. (2024) Energy Efficiency in Middle-Income Countries with DEA: An Approach for Latin America. Sustainable Futures, 8, 100345.
  • Noveiri, M. J. S., Shabani, M., and Kordrostami, S. (2025) Assessing Circular Economy Performance of OECD Countries: A Double-frontier Multi-period DEA with Flexible Measures. Renewable Energy, 246, 122851.
  • Planning Commission (2006) Integrated Energy Policy- Report of the Expert Committee [Online]. http://planningcommission.gov.in/reports/genrep/repintengy.pdf Accessed: 18/02/2025
  • Sahin, G. (2022) Dogal Gaz Talep Tahmininin Yapay Sinir Agları ile Modellenmesi: Danimarka Ornegi. Ankara Hacı Bayram Veli Universitesi İktisadi ve İdari Bilimler Fakultesi Dergisi, 24(1), 360-385.
  • Seyhan, N. and Seyhan, B. (2022) Yenilenebilir Enerji Ekonomik Buyume İlişkisi Acisindan Turkiye ve AB Ulkelerinin Malmquist Endeksi ile Performans İncelemesi. Insan ve Toplum Bilimleri Arastırmaları Dergisi, 11(2), 1022-1044.
  • Shen, Y., Yue, S., Sun, S. and Guo, M. (2020) Sustainable Total Factor Productivity Growth: The Case of China. Journal of Cleaner Production, 256, 120727.
  • Telli, R. (2023) Beseri Kalkınmada Yuksekogretim Kalite Guvencesi Sisteminin Etkinligine Yonelik Bir Analiz. Uluslararası Sosyal ve Beseri Bilimler Araştırma Dergisi, 10(99), 2213-2226.
  • Tugcu, C. T. and Tiwari, A. K. (2016) Does Renewable and/or Non-Renewable Energy Consumption Matter for Total Factor Productivity (TFP) Growth? Evidence from the BRICS, Renewable and Sustainable Energy Reviews, 65, 610-616.
  • Uzgoren, E. and Sahin, G. (2013) Dumlupınar Universitesi Meslek Yuksekokullari’nin Performanslarinin Veri Zarflama Analizi Yontemiyle Olcumu. Uluslararasi Yonetim Iktisat ve İsletme Dergisi, 9(18), 91-110.
  • Vaninsky, A. (2018) Energy-Environmental Efficiency and Optimal Restructuring of the Global Economy. Energy, 153, 338-348.
  • Worlbank (2024) World Development Indicators [Online]. https://databank.worldbank.org/ indicator/NY.GDP.MKTP.KD.ZG/1ff4a498/PopularIndicators Accessed 20/03/2025
  • Wu, J., Zhu, Q., Yin, P., and Song, M. (2017) Measuring Energy and Environmental Performance for Regions in China by Using DEA-Based Malmquist Indices. Operational Research, 17, 715-735.
  • Zhang, C., Zhu, H., and Li, X. (2024) Which Productivity Can Promote Clean Energy Transition—Total Factor Productivity or Green Total Factor Productivity? Journal of Environmental Management, 366, 12189.
There are 26 citations in total.

Details

Primary Language English
Subjects Growth, Macroeconomics (Other)
Journal Section Articles
Authors

Fatih Volkan Ayyıldız 0000-0001-5991-3574

Early Pub Date August 4, 2025
Publication Date July 31, 2025
Submission Date April 28, 2025
Acceptance Date May 28, 2025
Published in Issue Year 2025 Issue: 48

Cite

APA Ayyıldız, F. V. (2025). ENVIRONMENTAL AND ECONOMIC GROWTH ORIENTED ENERGY EFFICIENCY IN G-11 COUNTRIES: EVIDENCE FROM DEA AND MALMQUIST TOTAL FACTOR PRODUCTIVITY INDEX. Uluslararası İktisadi Ve İdari İncelemeler Dergisi(48), 365-376. https://doi.org/10.18092/ulikidince.1685643

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