Research Article
BibTex RIS Cite

Türk Konteyner Limanlarının Etikinlik Analizi: SFA mı DEA mı?

Year 2025, Issue: PRODUCTIVITY FOR LOGISTICS, 105 - 118, 03.02.2025
https://doi.org/10.51551/verimlilik.1522007

Abstract

Amaç: Stokastik Sınır Analizi ve Veri Zarflama Analizi yöntemleriyle Türk konteyner limanlarının verimliliği karşılaştırılmıştır. Çalışma, limanların operasyonel performansını artırmaya yönelik karşılaştırmalı bulgular sunmayı amaçlar. Oran analizi ile limanların kapasite kullanımı ve operasyonel performansları detaylı incelenmiştir.
Metodoloji: İki verimlilik ölçüm tekniği kullanılmıştır: SFA, rastgele hatalar ve dışsal faktörleri dikkate alarak verimliliği değerlendirirken; DEA, limanları en iyi performans gösterenlerle karşılaştırarak göreli verimliliği ölçmektedir. Oran analizi, mevcut elleçleme kapasitesi ve yıllık büyüme oranlarıyla kapasite kullanımını değerlendirmek için kullanıldı.
Bulgular: SFA ve DEA sonuçları arasında önemli farklılıklar gözlenmiştir. MIP MERSİN ve EVYAP gibi limanlar her iki yöntemde de yüksek verimlilik gösterirken, MARDAŞ ve ÇELEBİ BANDIRMA limanlarında yöntemler arasında farklar tespit edilmiştir. SFA'nın dışsal faktörleri ve operasyonel zorlukları daha iyi yakaladığı, DEA'nın ise göreli verimliliği öne çıkardığı görülmüştür. Özellikle MARDAŞ limanı, hızlı elleçleme büyümesine rağmen düşük operasyonel verimlilik sergilemektedir. Oran analizi, limanların kapasitelerini ne kadar verimli kullandığını ortaya koyarak, bazı limanların tam kapasiteye yakın çalışırken, AKÇANSA gibi limanların düşük kapasite ile çalıştığını göstermiştir.
Özgünlük: Çalışma, SFA ve DEA'yı oran analizi ile inceleyerek limanların verimliliğine bütünsel bir bakış sunmaktadır. Böylece sadece verimlilik karşılaştırmalı ölçülmemiş, aynı zamanda limanların kapasite kullanımları ele alınmıştır. SFA'nın, dışsal faktörleri etkin şekilde dikkate alarak operasyonel performansı yansıtması, stratejik iyileştirmeler için değerli bilgiler sunmaktadır.

Project Number

23ADP172

References

  • Acer, A. (2016). “Liman Konteyner Terminal Etkinliklerinin Veri Zarflama Analizi İle Belirlenmesi”, Doktora Tezi, İstanbul Üniversitesi Sosyal Bilimler Enstitüsü, İstanbul.
  • Aigner, D.J., Lovell, C.A.K. and Schmidt, P. (1977). “Formulation and Estimation of Stochastic Frontier Production function models”, Journal of Econometrics, 6(1), 21-37.
  • Akyürek, E. (2017). “Türkiye Karadeniz Limanları Verimlilik Analizi”, Verimlilik Dergisi, 4, 29-45.
  • Aracıoğlu, B. (2022). “Türkiye’de Konteyner Limanlarının Etkinlik Analizi”, Akademisyen Kitabevi, Ankara. https://doi.org/10.37609/akya.2288
  • Ateş, A. and Esmer, S. (2015). “Farklı Yöntemler İle Türk Konteyner Limanlarının Verimliliği”, Verimlilik Dergisi, 1, 61-76.
  • Banker, R.D., Charnes, A. and Cooper, W. W. (1984). “Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis”, Management Science, 30(9), 1078-1092.
  • Barros, C.P. and Athanassiou, M. (2004). “Efficiency in European seaports with DEA: Evidence from Greece and Portugal”, Maritime Economics & Logistics, 6(2), 122-140.
  • Barros, C.P. (2006). “Efficiency Measurement among Hypermarkets and Supermarkets and the Identification of the Efficiency Drivers”, International Journal of Retail & Distribution Management, 2, 135-154.
  • Battese, G.E. and Coelli, T.J. (1995). “A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data”, Empirical Economics, 20(2), 325-332.
  • 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.
  • Cheon, S., Dowall, D. E., & Song, D.-W. (2010). “Evaluating İmpacts of İnstitutional Reforms on Port Efficiency Changes: Ownership, Corporate Structure, and Total Factor Productivity Changes of World Container Ports”, Transportation Research Part E: Logistics and Transportation Review, 46(4), 546-561.
  • Christopher, M. (2016). “Logistics & Supply Chain Management”, 5th Ed., Pearson. Coelli, T., Rao, D.S.P., O'Donnell, C.J. and Battese, G.E. (2005). “An Introduction to Efficiency and Productivity Analysis”, Springer.
  • Coelli, T.J. and Perelman, S. (1999). “A Comparison of Parametric and Non-Parametric Distance Functions: With Application to European Railways”, European Journal of Operational Research, 117(2), 326-339.
  • Cullinane, K., Song, D.W. and Gray, R. (2002). “A Stochastic Frontier Model of the Efficiency of Major Container Terminals in Asia: Assessing the Influence of Administrative and Ownership Structures”, Transportation Research Part A: Policy and Practice, 36(8), 743-762. https://doi.org/10.1016/S0965-8564(01)00048-5
  • Cullinane, K. and Song, D-W. (2006). “Estimating the Relative Efficiency of European Container Ports: A Stochastic Frontier Analysis”, Research in Transportation Economics, 16, 85-115.
  • Çelik, Y. and Başarıcı, A.S. (2021). “Liman Performans Değerlendirmesi ve Kriterleri”, Mersin Üniversitesi Denizcilik ve Lojistik Araştırmaları Dergisi, 3(2), 136-159. https://doi.org/10.54410/denlojad.1011704
  • Cobanoglu, F. (2013). Measuring the technical efficiency of cotton farms in Turkey using stochastic frontier and data envelopment analysis. Outlook on Agriculture, 42(2), 117-124.
  • Dudu, H., Cakmak, E. and Öcal, N. (2015). “Drivers of Farm Efficiency in Turkey: A Stochastic Frontier Analysis”, World Journal of Applied Economics, 1(1), 45-63.
  • Greene, W.H. (2005). “Reconsidering Heterogeneity in Panel Data Estimators of the Stochastic Frontier Model”, Journal of Econometrics, 126(2), 269-303.
  • Greene, W.H. (2008). “The Econometric Approach to Efficiency Analysis”, The Measurement of Productive Efficiency: Techniques and Applications, (Editors: H.O. Fried, C.A.K. Lovell, S.S. Schmidt), 92-250, Oxford University Press.
  • González, M.M. and Trujillo, L. (2009). “Efficiency Measurement in the Port Industry: A Survey of the Empirical Evidence”, Journal of Transport Economics and Policy (JTEP), 43, 157-192.
  • Hoff, A. (2007). “Second Stage DEA: Comparison of Approaches for Modelling the DEA Score”, European Journal of Operational Research, 181, 425-435.
  • Jacobs, R., Smith, P.C. and Street, A. (2006). “A Comparison of SFA and DEA”, Measuring Efficiency in Health Care: Analytic Techniques and Health Policyi 151-166, Cambridge University Press, Cambridge.
  • Kantar, M. and Yenilmez, I. (2017). “Technical Efficiency Assessment of Turkish Banks Using Stochastic Frontier Method”, I. International Symposium on Economics, Finance, and Econometrics, Istanbul, Türkiye.
  • Karagiannis, G. and Sarris, A. (2004). “A Comparison of SFA and DEA Scale Efficiency Estimates: The Case of Greek Fresh Fruits Producers”, Indian Economic Review, 39(1), 149-168.
  • Kinaci, H., Najjari, V. and Alp, İ. (2016). “Using Data Envelopment Analysis and Stochastic Frontier Analysis Methods to Evaluate Efficiency of Hydroelectricity Centers”, Gazi University Journal of Science, 29(1), 167-176.
  • Krljan, T., Grbčić, A., Hess, S. and Grubišić, N. (2021). “The Stochastic Frontier Model for Technical Efficiency Estimation of Interconnected Container Terminals”, Journal of Marine Science and Engineering, 9, 515. https://doi.org/10.3390/jmse9050515
  • Kumbhakar, S.C., Wang, H-J. and Horncastle, A.P. (2015). “A Practitioner's Guide to Stochastic Frontier Analysis Using STATA”, Cambridge University Press, Cambridge.
  • Lamb, J.D., Tee, K.H. (2024). “Using Stochastic Frontier Analysis Instead of Data Envelopment Analysis in Modelling İnvestment Performance”, Annals of Operations Research, 332, 891-907. https://doi.org/10.1007/s10479-023-05428-w
  • Lee, P.F., Lam, W.S. and Lam, W.H. (2021). “Performance Evaluation of the Efficiency of Logistics Companies with Data Envelopment Analysis Model”, Mathematics, 11(3), 718. https://doi.org/10.3390/math11030718
  • Ministry of Transportation and Infrastructure. (2024). “Container Statistics”, https://denizcilikistatistikleri.uab.gov.tr/konteyner-istatistikleri, (Accessed: 28.06.2024)
  • Nguyen, P. and Pham, D. (2020). “The Cost Efficiency of Vietnamese Banks – The Difference between DEA and SFA”, Journal of Economics and Development, 22(2), 209-227. https://doi.org/10.1108/JED-12-2019-0075
  • Notteboom, T. and Winkelmans, W. (2001). “Reassessing Public Sector Involvement in European Seaports”, Maritime Economics & Logistics, 3(3), 242–259.
  • Öztürk, Z. and Yıldız, M.S. (2016). “Hastane Etkinliklerinin Tahmininde Stokastik Sınır Analizi; Tarihi ve Ampirik Uygulamaları”, Uluslararası Sağlık Yönetimi ve Stratejileri Araştırma Dergisi, 1(3), 1-12.
  • Panayides, P.M. and Song, D.W. (2009). “Port Integration in Global Supply Chains: Measures and Implications for Maritime Logistics”, International Journal of Logistics Research and Applications, 12(2), 133-145. https://doi.org/10.1080/13675560902749407
  • Slack, N. and Brandon-Jones, A. (2020). “Operations Management”, 9th Ed., Pearson.
  • Strange, N., Bogetoft, P., Aalmo, G.O., Talbot, B., Holt, A.H. and Astrup, R. (2021). “Applications of DEA and SFA in Benchmarking Studies in Forestry: State-of-the-Art and Future Directions”, International Journal of Forest Engineering, 32(sup1), 87-96. https://doi.org/10.1080/14942119.2021.1914809
  • Talley, W. K. (2006). “Chapter 22 Port Performance: An Economics Perspective”, Research in Transportation Economics, 17, 499-516. https://doi.org/10.1016/S0739-8859(06)17022-5
  • Thanassoulis, E., Portela, M.C.A.S. and Despic, O. (2008). “Data Envelopment Analysis: The Mathematical Programming Approach to Efficiency Analysis”, The Measurement of Productive Efficiency and Productivity Growth, (Editors: H.O. Fried, C.A.K. Lovell and S S. Schmidt), 251-420, Oxford University Press.
  • Theodoridis, A.M. and Anwar, Md. M. (2011). “A Comparison of DEA and SFA Methods: A Case Study of Farm Households in bangladesh”, The Journal of Developing Areas, 45, 95-110.
  • Tongzon, J. (2001). “Efficiency Measurement of Selected Australian and Other International Ports Using Data Envelopment Analysis”, Transportation Research Part A: Policy and Practice, 35(2), 107-122.
  • Turner, H., Windle, R., & Dresner, M. (2004). North American containerport productivity: 1984–1997. Transportation Research Part E: Logistics and Transportation Review, 40(4), 339-356.
  • Türkiye Liman İşleticileri Derneği (TÜRKLİM). (2024). “Türkiye Limancılık Sektörü 2024 Raporu: Limanlarda Dijital Teknolojiler ve Akıllı Limanlar”, https://www.turklim.org/pdf/Turklim-2024-Sekt%C3%B6r-Raporu-4-Haziran.pdf, (Accessed: 23.06.2024)
  • Wang, T., Cullinane, K. and Song, D-W. (2003). “Container Port Production Efficiency: A Comparative Study of DEA and FDH Approaches”, Journal of the Eastern Asia Society for Transportation Studies, 5, 698-713
  • Yenilmez, İ. (2024a). “A New Approach Using the Lindley Distribution in Stochastic Frontier Analysis”, Proceedings of the 2nd World Conference on Management, Business, and Finance, 2(1), İstanbul, Türkiye. https://doi.org/10.33422/worldmbf.v2i1.532
  • Yenilmez, İ. (2024b). “Productivity, Efficiency and Entrepreneurial - Innovative University Index: An Analysis for Universities in Türkiye”, Estuscience - Se, 25(3), 415–426. https://doi.org/10.18038/estubtda.1455818
  • Yenilmez, İ., Mert Kantar, Y. and Arık, İ. (2022). “Efficiency Measurement of Turkish Universities Using the Stochastic Frontier Model”, EGE 7th International Conference on Applied Sciences, 1017-1023, December 24-25, İzmir, Türkiye.
  • Yenilmez, I. and Kantar, M. (2019). “An Estimation with Flexible Error Distributions for Stochastic Frontier Model”, Proceeding Book of the ICOAEF VI, Balıkesir, Türkiye.
  • Zhou, L. and Suh, W. (2024). “A Comprehensive Study on Static and Dynamic Operational Efficiency in Major Korean Container Terminals amid the Smart Port Development Context”, Sustainability, 16(13), 5288.

Efficiency Analysis of Turkish Container Ports: SFA or DEA?

Year 2025, Issue: PRODUCTIVITY FOR LOGISTICS, 105 - 118, 03.02.2025
https://doi.org/10.51551/verimlilik.1522007

Abstract

Purpose: The study compares the efficiency of Turkish container ports using Stochastic Frontier Analysis and Data Envelopment Analysis. It aims to provide comparative insights for enhancing ports' operational performance. Capacity utilization and operational performance were analyzed in detail through ratio analysis.
Methodology: Two efficiency measurement techniques were employed: SFA evaluates efficiency by accounting for random errors and external factors, while DEA assesses relative efficiency by comparing ports to the best performers. Ratio analysis was used to evaluate capacity utilization through current handling capacity and annual growth rates.
Findings: Significant differences were observed between SFA and DEA results. Ports like MIP MERSİN and EVYAP demonstrated high efficiency in both methods, while discrepancies were detected in ports like MARDAŞ and ÇELEBİ BANDIRMA. SFA better captures external factors and operational challenges, whereas DEA emphasizes relative efficiency. For instance, MARDAŞ exhibited rapid growth in handling volume but low operational efficiency. Ratio analysis showed varying capacity utilization levels, with some ports operating near full capacity, while others, like AKÇANSA, operate at low capacity and need operational improvements.
Originality: The study provides a holistic view of port efficiency by integrating SFA, DEA, and ratio analysis. It not only measures comparative efficiency but also examines ports’ capacity utilization. Differences in efficiency measures were discussed, with SFA offering valuable insights into strategic improvements by effectively reflecting operational challenges and external factors.

Ethical Statement

Compliance with Ethical Standards It was declared by the author(s) that the tools and methods used in the study do not require the permission of the Ethics Committee. Disclamier The analyses in this study were conducted using publicly available data related to ports . The study exclusively interprets numerical values derived from scientific methods, without including specific judgments or evaluations of any port. Since the analyses do not involve subjective assessments and rely solely on publicly available data, no ethical approval was required. The authors assume no responsibility for any potential implications arising from the interpretation of numerical results based on publicly available data. Ethical Statement It was declared by the author(s) that scientific and ethical principles have been followed in this study and all the sources used have been properly cited.

Supporting Institution

Funding This study was supported by Eskişehir Technical University Scientific Research Project Commission under grant no: 23ADP172.

Project Number

23ADP172

References

  • Acer, A. (2016). “Liman Konteyner Terminal Etkinliklerinin Veri Zarflama Analizi İle Belirlenmesi”, Doktora Tezi, İstanbul Üniversitesi Sosyal Bilimler Enstitüsü, İstanbul.
  • Aigner, D.J., Lovell, C.A.K. and Schmidt, P. (1977). “Formulation and Estimation of Stochastic Frontier Production function models”, Journal of Econometrics, 6(1), 21-37.
  • Akyürek, E. (2017). “Türkiye Karadeniz Limanları Verimlilik Analizi”, Verimlilik Dergisi, 4, 29-45.
  • Aracıoğlu, B. (2022). “Türkiye’de Konteyner Limanlarının Etkinlik Analizi”, Akademisyen Kitabevi, Ankara. https://doi.org/10.37609/akya.2288
  • Ateş, A. and Esmer, S. (2015). “Farklı Yöntemler İle Türk Konteyner Limanlarının Verimliliği”, Verimlilik Dergisi, 1, 61-76.
  • Banker, R.D., Charnes, A. and Cooper, W. W. (1984). “Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis”, Management Science, 30(9), 1078-1092.
  • Barros, C.P. and Athanassiou, M. (2004). “Efficiency in European seaports with DEA: Evidence from Greece and Portugal”, Maritime Economics & Logistics, 6(2), 122-140.
  • Barros, C.P. (2006). “Efficiency Measurement among Hypermarkets and Supermarkets and the Identification of the Efficiency Drivers”, International Journal of Retail & Distribution Management, 2, 135-154.
  • Battese, G.E. and Coelli, T.J. (1995). “A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data”, Empirical Economics, 20(2), 325-332.
  • 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.
  • Cheon, S., Dowall, D. E., & Song, D.-W. (2010). “Evaluating İmpacts of İnstitutional Reforms on Port Efficiency Changes: Ownership, Corporate Structure, and Total Factor Productivity Changes of World Container Ports”, Transportation Research Part E: Logistics and Transportation Review, 46(4), 546-561.
  • Christopher, M. (2016). “Logistics & Supply Chain Management”, 5th Ed., Pearson. Coelli, T., Rao, D.S.P., O'Donnell, C.J. and Battese, G.E. (2005). “An Introduction to Efficiency and Productivity Analysis”, Springer.
  • Coelli, T.J. and Perelman, S. (1999). “A Comparison of Parametric and Non-Parametric Distance Functions: With Application to European Railways”, European Journal of Operational Research, 117(2), 326-339.
  • Cullinane, K., Song, D.W. and Gray, R. (2002). “A Stochastic Frontier Model of the Efficiency of Major Container Terminals in Asia: Assessing the Influence of Administrative and Ownership Structures”, Transportation Research Part A: Policy and Practice, 36(8), 743-762. https://doi.org/10.1016/S0965-8564(01)00048-5
  • Cullinane, K. and Song, D-W. (2006). “Estimating the Relative Efficiency of European Container Ports: A Stochastic Frontier Analysis”, Research in Transportation Economics, 16, 85-115.
  • Çelik, Y. and Başarıcı, A.S. (2021). “Liman Performans Değerlendirmesi ve Kriterleri”, Mersin Üniversitesi Denizcilik ve Lojistik Araştırmaları Dergisi, 3(2), 136-159. https://doi.org/10.54410/denlojad.1011704
  • Cobanoglu, F. (2013). Measuring the technical efficiency of cotton farms in Turkey using stochastic frontier and data envelopment analysis. Outlook on Agriculture, 42(2), 117-124.
  • Dudu, H., Cakmak, E. and Öcal, N. (2015). “Drivers of Farm Efficiency in Turkey: A Stochastic Frontier Analysis”, World Journal of Applied Economics, 1(1), 45-63.
  • Greene, W.H. (2005). “Reconsidering Heterogeneity in Panel Data Estimators of the Stochastic Frontier Model”, Journal of Econometrics, 126(2), 269-303.
  • Greene, W.H. (2008). “The Econometric Approach to Efficiency Analysis”, The Measurement of Productive Efficiency: Techniques and Applications, (Editors: H.O. Fried, C.A.K. Lovell, S.S. Schmidt), 92-250, Oxford University Press.
  • González, M.M. and Trujillo, L. (2009). “Efficiency Measurement in the Port Industry: A Survey of the Empirical Evidence”, Journal of Transport Economics and Policy (JTEP), 43, 157-192.
  • Hoff, A. (2007). “Second Stage DEA: Comparison of Approaches for Modelling the DEA Score”, European Journal of Operational Research, 181, 425-435.
  • Jacobs, R., Smith, P.C. and Street, A. (2006). “A Comparison of SFA and DEA”, Measuring Efficiency in Health Care: Analytic Techniques and Health Policyi 151-166, Cambridge University Press, Cambridge.
  • Kantar, M. and Yenilmez, I. (2017). “Technical Efficiency Assessment of Turkish Banks Using Stochastic Frontier Method”, I. International Symposium on Economics, Finance, and Econometrics, Istanbul, Türkiye.
  • Karagiannis, G. and Sarris, A. (2004). “A Comparison of SFA and DEA Scale Efficiency Estimates: The Case of Greek Fresh Fruits Producers”, Indian Economic Review, 39(1), 149-168.
  • Kinaci, H., Najjari, V. and Alp, İ. (2016). “Using Data Envelopment Analysis and Stochastic Frontier Analysis Methods to Evaluate Efficiency of Hydroelectricity Centers”, Gazi University Journal of Science, 29(1), 167-176.
  • Krljan, T., Grbčić, A., Hess, S. and Grubišić, N. (2021). “The Stochastic Frontier Model for Technical Efficiency Estimation of Interconnected Container Terminals”, Journal of Marine Science and Engineering, 9, 515. https://doi.org/10.3390/jmse9050515
  • Kumbhakar, S.C., Wang, H-J. and Horncastle, A.P. (2015). “A Practitioner's Guide to Stochastic Frontier Analysis Using STATA”, Cambridge University Press, Cambridge.
  • Lamb, J.D., Tee, K.H. (2024). “Using Stochastic Frontier Analysis Instead of Data Envelopment Analysis in Modelling İnvestment Performance”, Annals of Operations Research, 332, 891-907. https://doi.org/10.1007/s10479-023-05428-w
  • Lee, P.F., Lam, W.S. and Lam, W.H. (2021). “Performance Evaluation of the Efficiency of Logistics Companies with Data Envelopment Analysis Model”, Mathematics, 11(3), 718. https://doi.org/10.3390/math11030718
  • Ministry of Transportation and Infrastructure. (2024). “Container Statistics”, https://denizcilikistatistikleri.uab.gov.tr/konteyner-istatistikleri, (Accessed: 28.06.2024)
  • Nguyen, P. and Pham, D. (2020). “The Cost Efficiency of Vietnamese Banks – The Difference between DEA and SFA”, Journal of Economics and Development, 22(2), 209-227. https://doi.org/10.1108/JED-12-2019-0075
  • Notteboom, T. and Winkelmans, W. (2001). “Reassessing Public Sector Involvement in European Seaports”, Maritime Economics & Logistics, 3(3), 242–259.
  • Öztürk, Z. and Yıldız, M.S. (2016). “Hastane Etkinliklerinin Tahmininde Stokastik Sınır Analizi; Tarihi ve Ampirik Uygulamaları”, Uluslararası Sağlık Yönetimi ve Stratejileri Araştırma Dergisi, 1(3), 1-12.
  • Panayides, P.M. and Song, D.W. (2009). “Port Integration in Global Supply Chains: Measures and Implications for Maritime Logistics”, International Journal of Logistics Research and Applications, 12(2), 133-145. https://doi.org/10.1080/13675560902749407
  • Slack, N. and Brandon-Jones, A. (2020). “Operations Management”, 9th Ed., Pearson.
  • Strange, N., Bogetoft, P., Aalmo, G.O., Talbot, B., Holt, A.H. and Astrup, R. (2021). “Applications of DEA and SFA in Benchmarking Studies in Forestry: State-of-the-Art and Future Directions”, International Journal of Forest Engineering, 32(sup1), 87-96. https://doi.org/10.1080/14942119.2021.1914809
  • Talley, W. K. (2006). “Chapter 22 Port Performance: An Economics Perspective”, Research in Transportation Economics, 17, 499-516. https://doi.org/10.1016/S0739-8859(06)17022-5
  • Thanassoulis, E., Portela, M.C.A.S. and Despic, O. (2008). “Data Envelopment Analysis: The Mathematical Programming Approach to Efficiency Analysis”, The Measurement of Productive Efficiency and Productivity Growth, (Editors: H.O. Fried, C.A.K. Lovell and S S. Schmidt), 251-420, Oxford University Press.
  • Theodoridis, A.M. and Anwar, Md. M. (2011). “A Comparison of DEA and SFA Methods: A Case Study of Farm Households in bangladesh”, The Journal of Developing Areas, 45, 95-110.
  • Tongzon, J. (2001). “Efficiency Measurement of Selected Australian and Other International Ports Using Data Envelopment Analysis”, Transportation Research Part A: Policy and Practice, 35(2), 107-122.
  • Turner, H., Windle, R., & Dresner, M. (2004). North American containerport productivity: 1984–1997. Transportation Research Part E: Logistics and Transportation Review, 40(4), 339-356.
  • Türkiye Liman İşleticileri Derneği (TÜRKLİM). (2024). “Türkiye Limancılık Sektörü 2024 Raporu: Limanlarda Dijital Teknolojiler ve Akıllı Limanlar”, https://www.turklim.org/pdf/Turklim-2024-Sekt%C3%B6r-Raporu-4-Haziran.pdf, (Accessed: 23.06.2024)
  • Wang, T., Cullinane, K. and Song, D-W. (2003). “Container Port Production Efficiency: A Comparative Study of DEA and FDH Approaches”, Journal of the Eastern Asia Society for Transportation Studies, 5, 698-713
  • Yenilmez, İ. (2024a). “A New Approach Using the Lindley Distribution in Stochastic Frontier Analysis”, Proceedings of the 2nd World Conference on Management, Business, and Finance, 2(1), İstanbul, Türkiye. https://doi.org/10.33422/worldmbf.v2i1.532
  • Yenilmez, İ. (2024b). “Productivity, Efficiency and Entrepreneurial - Innovative University Index: An Analysis for Universities in Türkiye”, Estuscience - Se, 25(3), 415–426. https://doi.org/10.18038/estubtda.1455818
  • Yenilmez, İ., Mert Kantar, Y. and Arık, İ. (2022). “Efficiency Measurement of Turkish Universities Using the Stochastic Frontier Model”, EGE 7th International Conference on Applied Sciences, 1017-1023, December 24-25, İzmir, Türkiye.
  • Yenilmez, I. and Kantar, M. (2019). “An Estimation with Flexible Error Distributions for Stochastic Frontier Model”, Proceeding Book of the ICOAEF VI, Balıkesir, Türkiye.
  • Zhou, L. and Suh, W. (2024). “A Comprehensive Study on Static and Dynamic Operational Efficiency in Major Korean Container Terminals amid the Smart Port Development Context”, Sustainability, 16(13), 5288.
There are 49 citations in total.

Details

Primary Language English
Subjects Logistics
Journal Section Araştırma Makalesi
Authors

İsmail Yenilmez 0000-0002-3357-3898

Project Number 23ADP172
Publication Date February 3, 2025
Submission Date July 24, 2024
Acceptance Date October 3, 2024
Published in Issue Year 2025 Issue: PRODUCTIVITY FOR LOGISTICS

Cite

APA Yenilmez, İ. (2025). Efficiency Analysis of Turkish Container Ports: SFA or DEA?. Verimlilik Dergisi(PRODUCTIVITY FOR LOGISTICS), 105-118. https://doi.org/10.51551/verimlilik.1522007

23139       23140          29293

22408 Journal of Productivity is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)