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MEASUREMENT OF ENVIRONMENTAL SUSTAINABILITY USING SLACK-BASED MEASURE AND DATA ENVELOPMENT ANALYSIS

Yıl 2025, Cilt: 3 Sayı: 1, 31 - 42, 15.05.2025
https://izlik.org/JA58WM94DF

Öz

In the context of environmental protection and sustainability, undesirable outputs (such as pollutants and wastes) resulting from activities like production are increasingly gaining attention. Thus, technological improvements that generate fewer undesirable outputs in the scope of production have become an significant topic (Cooper, Seiford, & Tone, 2008) In sustainability researches, the relationship between resource efficiency and performance optimization can be examined in different ways depending on the quantitative methods used. In this regard, the Slack Based Measure (SBM) model and the input-oriented traditional BCC (Banker-Charnes-Cooper) Data Envelopment Analysis model provide important capabilities for assessing the efficient use of resources from a sustainability perspective. (Zhou, Yang, Chen, & Zhu, 2018) This study examines whether there is a difference in efficiency between the SBM (SBM-UO) Data Envelopment Analysis model with undesirable outputs and the standard input-oriented BCC Data Envelopment Analysis (BCC DEA-UO) model with undesirable outputs, within the context of sustainability efficiency, using an industrial case example. Since the slack values are considered, the results of efficiency measurements made with SBM (SBM-UO) show lower or equal values compared to the BCC Data Envelopment Analysis (BCC DEA-UO) with undesirable outputs.

Destekleyen Kurum

Istanbul Technical University

Kaynakça

  • Banker, R.D., Charnes, A., & Cooper, W. W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 1078-1092.
  • Barbier, E.B. (1987). The Concept of Sustainable Economic Development. Environmental Conservation, 101-110. doi:10.1017/S0376892900011449
  • Chang, Y.T., Park, H.S., Jeong, J.B. & Lee, J.W. (2014). Evaluating economic and environmental efficiency of global airlines: A SBM-DEA approach. Transportation Research Part D: Transport and Environment, 27, 46-50.
  • Charnes, A., Cooper, W. & Rhodes, E. (1978). Measuring the efficiency of decission making units. European Journal of Operational Research, 429-444.
  • Cooper, W.W., Seiford, L.M. & Tone, K. (2008). Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software. Kluwer Academic Publishers.
  • Cooper, W.W., Seiford, L.M. & Zhu, J. (2011). Data Envelopment Analysis: History, Models, and Interpretations. In W. Cooper, L. Seiford, & J. Zhu, Handbook on Data Envelopment Analysis, 1-6.
  • Emrouznejad, A., Yang, G.L., Khoveyni, M. & Michali, M. (2022). Data envelopment analysis: Recent developments and challenges. The Palgrave Handbook of Operations Research, 307-350.
  • Freeman, A.M., Herriges, J.A., & Kling, C.L. (2014). The Measurement of Environmental and Resource Values. London: RFF Press.
  • Halkos, G., & Petrou, K.N. (2019). Treating undesirable outputs in DEA: A critical review. Economic Analysis and Policy, 62, 97-104.
  • Halkos, G., Tzeremes, N. & Kourtzidis, S. (2016). Measuring Sustainability Efficiency Using a Two-Stage Data Envelopment. Journal of Industrial Ecology, 20, 1159-1175.
  • Lacy, P., & Rutqvist, J. (2015). Waste to wealth: The circular economy advantage. Palgrave Macmillan.
  • Li, X.G., Yang, J., & Liu, X.J. (2013). Analysis of Beijing’s environmental efficiency and related factors using a DEA model that considers undesirable outputs. Mathematical and Computer Modelling, 58(5-6), 956-960.
  • Martić, Milan, Novaković, Marina S., Baggia, Alenka (2009). Data envelopment analysis -basic models and their utilization. Organizacija (Kranj), 42(2), 37-43.
  • Maxime, D., Marcotte, M., & Arcand, Y. (2006). Development of eco-efficiency indicators for the Canadian food and beverage industry. Journal of Cleaner Production, 14(6-7), 636-648.
  • Meadows, D.H., Meadows, D.L., Randers, J. & Behres III, W. (1972). The limits to growth: A report for the Club of Rome's project on the predicament of mankind. New York: Universe Books.
  • OECD. (n.d.). OECD Data Explorer. Retrieved 01 2025, from https://data-explorer.oecd.org/?lc=en Song, M., Song, Y., An, Q. & Yu, H. (2013). Review of environmental efficiency and its influencing factors in China: 1998-2009. Renewable and Sustainable Energy Reviews, 20, 8-14.
  • Sueyoshi, T. & Goto, M. (2012). DEA radial measurement for environmental assessment and planning: Desirable procedures to evaluate fossil fuel power plants. Energy Policy, 41, 422-432.
  • Tone, K. (2001). A Slacks-Based Measure of Efficiency in Data Envelopment Analysis. European Journal of Operational Research, 130, 498-509.
  • Tone, K. (2004). Dealing with undesirable outputs in DEA: a Slacks-Based Measure (SBM). Tokyo: GRIPS Report Series.
  • Tyteca, D. (1996). On the Measurement of the Environmental Performance of Firms-A Literature Review and a Productive Efficiency Perspective. Journal of Environmental Management, 281-308.
  • WCED (1987) World Commission on Environment and Development Our Common Future. Oxford University Press. Retrieved 12 14, 2024
  • Zarrin, M. & Brunner, J. O. (2022). Analyzing the accuracy of variable returns to scale data envelopment. European Journal of Operational Research, 1286-1301.
  • Zhang, B., Bi, J., Fan, Z., Yuan, Z. & Ge, J. (2008). Eco-efficiency analysis of industrial system in China: A data envelopment analysis approach. Ecological Economics, Volume 68(1-2), 306-316.
  • Zhou, H., Yang, Y., Chen, Y. & Zhu, J. (2018). Data envelopment analysis application in sustainability: The origins, development and future directions. European Journal of Operational Research, 1-16.
  • Zhou, P., Poh, K. & Ang, B. (2007). A non-radial DEA approach to measuring environmental performance. European Journal of Operational Research, 178(1), 1-9.
  • Zhou, Y., Xing, X., Fang, K., Liang, D. & Xu, C. (2013). Environmental efficiency analysis of power industry in China based on an entropy SBM model. Energy Policy, 57, 68-75.

SBM ve Veri Zarflama Analizi Kullanılarak Endüstriyel Alanda Çevresel Sürdürülebilirliğin Değerlendirilmesi

Yıl 2025, Cilt: 3 Sayı: 1, 31 - 42, 15.05.2025
https://izlik.org/JA58WM94DF

Öz

Çevresel koruma ve sürdürülebilirlik doğrultusunda, üretim gibi faaliyetler sonucunda ortaya çıkan istenmeyen çıktılar (örneğin: kirleticiler ve atıklar) giderek daha fazla dikkat çekmektedir. Bundan dolayı üretim alanında daha az istenmeyen çıktı üreten teknolojik gelişmeler önemli bir konu haline gelmiştir. (Cooper, Seiford, & Tone, 2008) Sürdürülebilirlik çalışmalarında, kaynak verimliliği ve performans optimizasyonu arasındaki ilişki, kullanılan kantitatif yöntemlere bağlı olarak farklı şekillerde ele alınabilir. Bu bağlamda, Slack Based Measure (SBM) modeli ile girdi odaklı geleneksel BCC (Banker-Charnes-Cooper) Veri Zarflama Analizi modeli, sürdürülebilirlik açısından kaynakların etkin kullanımını değerlendirmek için önemli araçlar sunar (Zhou, Yang, Chen, & Zhu, 2018) Bu araştırmada, sürdürülebilirlik çalışmaları kapsamında, İstenmeyen çıktı içeren SBM (SBM-UO) Veri Zarflama Analizi modeli ile standart girdi odaklı, istenmeyen çıktı içeren BCC Veri Zarflama Analizi (BCC DEA-UO) modelleri arasında etkinlik açısından bir fark olup olmadığı, endüstriyel alanda bir örnek ile incelenmiştir. Artık değerleri gözetildiği için SBM (SBM-UO) ile yapılan etkinlik ölçümlerindeki sonuçların tamamında değerler, istenmeyen çıktı içeren BCC Veri Zarflama Analizi (BCC DEA-UO)’ne göre daha düşük ve eşit çıkmaktadır.

Destekleyen Kurum

İstanbul Teknik Üniversitesi

Kaynakça

  • Banker, R.D., Charnes, A., & Cooper, W. W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 1078-1092.
  • Barbier, E.B. (1987). The Concept of Sustainable Economic Development. Environmental Conservation, 101-110. doi:10.1017/S0376892900011449
  • Chang, Y.T., Park, H.S., Jeong, J.B. & Lee, J.W. (2014). Evaluating economic and environmental efficiency of global airlines: A SBM-DEA approach. Transportation Research Part D: Transport and Environment, 27, 46-50.
  • Charnes, A., Cooper, W. & Rhodes, E. (1978). Measuring the efficiency of decission making units. European Journal of Operational Research, 429-444.
  • Cooper, W.W., Seiford, L.M. & Tone, K. (2008). Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software. Kluwer Academic Publishers.
  • Cooper, W.W., Seiford, L.M. & Zhu, J. (2011). Data Envelopment Analysis: History, Models, and Interpretations. In W. Cooper, L. Seiford, & J. Zhu, Handbook on Data Envelopment Analysis, 1-6.
  • Emrouznejad, A., Yang, G.L., Khoveyni, M. & Michali, M. (2022). Data envelopment analysis: Recent developments and challenges. The Palgrave Handbook of Operations Research, 307-350.
  • Freeman, A.M., Herriges, J.A., & Kling, C.L. (2014). The Measurement of Environmental and Resource Values. London: RFF Press.
  • Halkos, G., & Petrou, K.N. (2019). Treating undesirable outputs in DEA: A critical review. Economic Analysis and Policy, 62, 97-104.
  • Halkos, G., Tzeremes, N. & Kourtzidis, S. (2016). Measuring Sustainability Efficiency Using a Two-Stage Data Envelopment. Journal of Industrial Ecology, 20, 1159-1175.
  • Lacy, P., & Rutqvist, J. (2015). Waste to wealth: The circular economy advantage. Palgrave Macmillan.
  • Li, X.G., Yang, J., & Liu, X.J. (2013). Analysis of Beijing’s environmental efficiency and related factors using a DEA model that considers undesirable outputs. Mathematical and Computer Modelling, 58(5-6), 956-960.
  • Martić, Milan, Novaković, Marina S., Baggia, Alenka (2009). Data envelopment analysis -basic models and their utilization. Organizacija (Kranj), 42(2), 37-43.
  • Maxime, D., Marcotte, M., & Arcand, Y. (2006). Development of eco-efficiency indicators for the Canadian food and beverage industry. Journal of Cleaner Production, 14(6-7), 636-648.
  • Meadows, D.H., Meadows, D.L., Randers, J. & Behres III, W. (1972). The limits to growth: A report for the Club of Rome's project on the predicament of mankind. New York: Universe Books.
  • OECD. (n.d.). OECD Data Explorer. Retrieved 01 2025, from https://data-explorer.oecd.org/?lc=en Song, M., Song, Y., An, Q. & Yu, H. (2013). Review of environmental efficiency and its influencing factors in China: 1998-2009. Renewable and Sustainable Energy Reviews, 20, 8-14.
  • Sueyoshi, T. & Goto, M. (2012). DEA radial measurement for environmental assessment and planning: Desirable procedures to evaluate fossil fuel power plants. Energy Policy, 41, 422-432.
  • Tone, K. (2001). A Slacks-Based Measure of Efficiency in Data Envelopment Analysis. European Journal of Operational Research, 130, 498-509.
  • Tone, K. (2004). Dealing with undesirable outputs in DEA: a Slacks-Based Measure (SBM). Tokyo: GRIPS Report Series.
  • Tyteca, D. (1996). On the Measurement of the Environmental Performance of Firms-A Literature Review and a Productive Efficiency Perspective. Journal of Environmental Management, 281-308.
  • WCED (1987) World Commission on Environment and Development Our Common Future. Oxford University Press. Retrieved 12 14, 2024
  • Zarrin, M. & Brunner, J. O. (2022). Analyzing the accuracy of variable returns to scale data envelopment. European Journal of Operational Research, 1286-1301.
  • Zhang, B., Bi, J., Fan, Z., Yuan, Z. & Ge, J. (2008). Eco-efficiency analysis of industrial system in China: A data envelopment analysis approach. Ecological Economics, Volume 68(1-2), 306-316.
  • Zhou, H., Yang, Y., Chen, Y. & Zhu, J. (2018). Data envelopment analysis application in sustainability: The origins, development and future directions. European Journal of Operational Research, 1-16.
  • Zhou, P., Poh, K. & Ang, B. (2007). A non-radial DEA approach to measuring environmental performance. European Journal of Operational Research, 178(1), 1-9.
  • Zhou, Y., Xing, X., Fang, K., Liang, D. & Xu, C. (2013). Environmental efficiency analysis of power industry in China based on an entropy SBM model. Energy Policy, 57, 68-75.
Toplam 26 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular İşletme
Bölüm Araştırma Makalesi
Yazarlar

Musa Aktaş 0009-0007-8176-1176

Ferhan Çebi 0000-0003-3100-3020

Gönderilme Tarihi 1 Mart 2025
Kabul Tarihi 9 Mayıs 2025
Yayımlanma Tarihi 15 Mayıs 2025
IZ https://izlik.org/JA58WM94DF
Yayımlandığı Sayı Yıl 2025 Cilt: 3 Sayı: 1

Kaynak Göster

APA Aktaş, M., & Çebi, F. (2025). MEASUREMENT OF ENVIRONMENTAL SUSTAINABILITY USING SLACK-BASED MEASURE AND DATA ENVELOPMENT ANALYSIS. GSU Managerial and Social Sciences Letters, 3(1), 31-42. https://izlik.org/JA58WM94DF