Araştırma Makalesi
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Türkiye’de Konteyner Limanlarının Çıktı Odaklı Teknik Etkinliğinin Değerlendirilmesi

Yıl 2025, Cilt: 4 Sayı: 8, 56 - 67, 30.12.2025
https://doi.org/10.5281/zenodo.18092547

Öz

Limanlar ve terminaller, dünya denizciliğinin ve küresel tedarik zincirlerinin tartışmasız biçimde kritik öneme sahip unsurlarıdır. Bu unsurlar uluslararası ticaretin kolaylaştırıcısı olmakla birlikte, aynı zamanda kritik bir darboğaz konumundadır. Limanların düşük etkinlikle çalışması, ana hat gemilerinin sefer programlarının gecikmesine ve demirleme alanlarındaki gemilerin sayısının artmasına yol açmaktadır. Bu doğrultuda, limanların düşük operasyonel etkinliği, uluslararası tedarik zincirlerinin kesintisiz işlemesi önünde önemli bir engel oluşturmaktadır. Ek olarak, düşük etkinlik yakın coğrafi bölge içerisinde faaliyet gösteren limanların rekabetçi avantajlarını koruyamamalarına da neden olmaktadır. Düşük operasyonel etkinliğin başlıca nedenleri arasında liman ekipmanı ve teknoloji yetersizliği, rıhtım ve saha kapasitesi ile ilgili sorunlar, deneyimli operatör eksikliği sayılabilir. Konunun öneminden hareketle, bu çalışmada güncel veriler ışığında Türkiye’de faaliyet gösteren ve konteyner elleçlemesi yapan 17 konteyner limanının çıktı odaklı toplam teknik verimliliği Veri Zarflama Analizi (VZA) yöntemi kullanılarak değerlendirilmektedir. Araştırmanın temel bulguları, Asya Port, DP World Yarımca, SOCAR ve Assan Port limanlarının yüksek etkinlik seviyesinde çalıştığını göstermektedir.

Etik Beyan

Bu araştırmada insan katılımcı verisi toplanmamış; yalnızca kamuya açık, ikincil nitelikte veriler kullanılmıştır. Herhangi bir müdahale/deney yürütülmemiş ve kimliği belirlenebilir kişisel bilgi işlenmemiştir.

Kaynakça

  • Assan Port. (2025, November 2). Assan Port Technical Features. https://www.assanport.com.tr/tr-tr/liman/ekipmanlar
  • Belde Port. (2025, October 26). Belde Port Technical Features. https://www.beldeport.com.tr/en-US
  • Borusan Port. (2025, October 26). Borusan Port Technical Features. https://www.borusanport.com/en/terminals-equipment/container-terminal
  • Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. https://doi.org/https://doi.org/10.1016/0377-2217(78)90138-8
  • Chen, C., & Lam, J. S. L. (2018). Sustainability and interactivity between cities and ports: A two-stage data envelopment analysis (DEA) approach. Maritime Policy & Management, 45(7), 944–961.
  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd Ed.). Hillsdale. Erlbaum.
  • Cullinane, K., & Wang, T. (2010). The efficiency analysis of container port production using DEA panel data approaches. OR Spectrum, 32(3), 717–738.
  • De Oliveira, G. F., & Cariou, P. (2015). The impact of competition on container port (in) efficiency. Transportation Research Part A: Policy and Practice, 78, 124–133.
  • Ege Gübre Port. (2025, October 26). Ege Gübre Port Technical Features. https://www.egegubre.com.tr/liman.html
  • Eyit, B., Yorulmaz, M., & Taş, A. (2022). Konteyner limanlarında kullanılan dijital teknoloji uygulamalarının değerlendirilmesi. The Journal of Social Science, 6(11), 43–59.
  • Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society Series a: Statistics in Society, 120(3), 253–281.
  • Ghiara, H., & Tei, A. (2021). Port activity and technical efficiency: determinants and external factors. Maritime Policy & Management, 48(5), 711–724.
  • Huang, X., Wang, Y., Dai, X., Luo, J. X., & Chen, J. (2020). Evaluation of port efficiency in Shanghai Port and Busan Port based on three-stage DEA model with environmental concerns. Transport, 35(5), 454–461.
  • International Chamber of Shipping. (2025, October 28). Shipping and world trade: Driving prosperity. https://www.ics-shipping.org/shipping-fact/shipping-and-world-trade-driving-prosperity/
  • Jiang, J. L., Chew, E. P., Lee, L. H., & Sun, Z. (2012). DEA based on strongly efficient and inefficient frontiers and its application on port efficiency measurement. OR Spectrum, 34(4), 943–969.
  • Kong, Y., & Liu, J. (2021). Sustainable port cities with coupling coordination and environmental efficiency. Ocean & Coastal Management, 205, 105534.
  • Krmac, E., & Mansouri Kaleibar, M. (2023). A comprehensive review of data envelopment analysis (DEA) methodology in port efficiency evaluation. Maritime Economics & Logistics, 25(4), 817–881.
  • Li, Z., Wang, X., Zheng, R., Na, S., & Liu, C. (2022). Evaluation analysis of the operational efficiency and total factor productivity of container terminals in China. Sustainability, 14(20), 13007.
  • Limak Port. (2025, October 26). Limak Port Technical Features. https://www.limakports.com.tr/en/port-features/port-technical-features Martínez-Moya, J., Mestre-Alcover, A., Sala-Garrido, R., & Furió-Pruñonosa, S. (2024). Are transhipment ports more efficient in the Mediterranean Sea? Analysing the role of time at ports using DEA metafrontier approach. Journal of Transport Geography, 116, 103866.
  • Munim, Z. H. (2020). Does higher technical efficiency induce a higher service level? A paradox association in the context of port operations. The Asian Journal of Shipping and Logistics, 36(4), 157–168.
  • Nguyen, H.-O., Nguyen, H.-V., Chang, Y.-T., Chin, A. T. H., & Tongzon, J. (2016). Measuring port efficiency using bootstrapped DEA: the case of Vietnamese ports. Maritime Policy & Management, 43(5), 644–659.
  • Notteboom, T., Pallis, A., & Rodrigue, J.-P. (2025). Defining seaports. Port Economics, Management and Policy. Https://Porteconomicsmanagement.Org/Pemp/Contents/Introduction/Defining-Seaports/.
  • Qu, H., Wang, X., Meng, L., & Han, C. (2024). Liner Schedule Design under Port Congestion: A Container Handling Efficiency Selection Mechanism. Journal of Marine Science and Engineering, 12(6), 951.
  • R Core Team. (2024). R: A Language and environment for statistical computing. (Version 4.4) [Computer software]. Retrieved from https://cran.r-project.org. (R packages retrieved from CRAN snapshot 2024-08-07).
  • Ragsdale, C. T. (2007). Spreadsheet Modeling & Decision Analysis: A Practical Introduction to Business Analytics (8th Edition). CENGAGE Learning.
  • Sun, Q., Chen, L., & Meng, Q. (2022). Evaluating port efficiency dynamics: A risk-based approach. Transportation Research Part B: Methodological, 166, 333–347.
  • The jamovi project. (2024). jamovi. (Version 2.6) [Computer Software]. Retrieved from https://www.jamovi.org.
  • TÜRKLİM. (2024). Turkish port industry 2024 report: Digital technologies and smart ports. https://www.turklim.org/pdf/Turklim-2024-Sekt%C3%B6r-Raporu-4-Haziran.pdf
  • United Nations Conference on Trade and Development. (2024). Review of Maritime Transport 2024: Navigating Maritime Chokepoints. United Nations Conference on Trade and Development. https://unctad.org/publication/review-maritime-transport-2024
  • Wang, C.-N., Nguyen, P.-H., Nguyen, T.-L., Nguyen, T.-G., Nguyen, D.-T., Tran, T.-H., Le, H.-C., & Phung, H.-T. (2022). A two-stage DEA approach to measure operational efficiency in Vietnam’s port industry. Mathematics, 10(9), 1385.
  • Ye, C., Cai, T., Zhang, C., & Cao, W. (2025). Sustainability-based evolution of port hinterlands: green performance and spatial impacts in the Bohai Rim. Ecological Indicators, 178, 114095.
  • Yen, B. T. H., Huang, M.-J., Lai, H.-J., Cho, H.-H., & Huang, Y.-L. (2023). How smart port design influences port efficiency–A DEA-Tobit approach. Research in Transportation Business & Management, 46, 100862.
  • Yorulmaz, M., & Baykan, Y. (2024). Liman işletmelerinin dijitalleşme düzeylerinin bütünleşik bir modelle değerlendirilmesi. Uluslararası İktisadi ve İdari İncelemeler Dergisi, 42, 19–36.
  • Zhang, J., Yang, D., & Luo, M. (2024). Port efficiency types and perspectives: A literature review. Transport Policy, 156, 13–24.

Evaluating the Output-Oriented Technical Efficiency of Container Ports in Türkiye

Yıl 2025, Cilt: 4 Sayı: 8, 56 - 67, 30.12.2025
https://doi.org/10.5281/zenodo.18092547

Öz

Ports and terminals are indisputably critical components of global shipping and global supply chains. These components not only facilitate international trade but also constitute a critical bottleneck. Low operational efficiency in ports leads to delays in mainline vessels’ service schedules and an increase in the number of vessels waiting at anchorage areas. In this regard, low operational efficiency in ports represents a significant barrier to the uninterrupted functioning of international supply chains. Additionally, low efficiency prevents ports operating within the same geographical region from maintaining their competitive advantage. The main causes of low operational efficiency may include insufficient port equipment and technology, issues related to berth and yard capacity, and a shortage of experienced operators. In light of the importance of this issue and based on recent data, this study evaluates the output-oriented overall technical efficiency of 17 container-handling ports in Türkiye, employing the Data Envelopment Analysis (DEA) method. The main findings of the research indicate that Asyaport, DP World Yarımca, SOCAR, and Assan Port operate at high efficiency levels.

Etik Beyan

This study relies exclusively on publicly available secondary data. No human participants were recruited, no interventions/experiments were conducted, and no personally identifiable information was processed.

Kaynakça

  • Assan Port. (2025, November 2). Assan Port Technical Features. https://www.assanport.com.tr/tr-tr/liman/ekipmanlar
  • Belde Port. (2025, October 26). Belde Port Technical Features. https://www.beldeport.com.tr/en-US
  • Borusan Port. (2025, October 26). Borusan Port Technical Features. https://www.borusanport.com/en/terminals-equipment/container-terminal
  • Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. https://doi.org/https://doi.org/10.1016/0377-2217(78)90138-8
  • Chen, C., & Lam, J. S. L. (2018). Sustainability and interactivity between cities and ports: A two-stage data envelopment analysis (DEA) approach. Maritime Policy & Management, 45(7), 944–961.
  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd Ed.). Hillsdale. Erlbaum.
  • Cullinane, K., & Wang, T. (2010). The efficiency analysis of container port production using DEA panel data approaches. OR Spectrum, 32(3), 717–738.
  • De Oliveira, G. F., & Cariou, P. (2015). The impact of competition on container port (in) efficiency. Transportation Research Part A: Policy and Practice, 78, 124–133.
  • Ege Gübre Port. (2025, October 26). Ege Gübre Port Technical Features. https://www.egegubre.com.tr/liman.html
  • Eyit, B., Yorulmaz, M., & Taş, A. (2022). Konteyner limanlarında kullanılan dijital teknoloji uygulamalarının değerlendirilmesi. The Journal of Social Science, 6(11), 43–59.
  • Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society Series a: Statistics in Society, 120(3), 253–281.
  • Ghiara, H., & Tei, A. (2021). Port activity and technical efficiency: determinants and external factors. Maritime Policy & Management, 48(5), 711–724.
  • Huang, X., Wang, Y., Dai, X., Luo, J. X., & Chen, J. (2020). Evaluation of port efficiency in Shanghai Port and Busan Port based on three-stage DEA model with environmental concerns. Transport, 35(5), 454–461.
  • International Chamber of Shipping. (2025, October 28). Shipping and world trade: Driving prosperity. https://www.ics-shipping.org/shipping-fact/shipping-and-world-trade-driving-prosperity/
  • Jiang, J. L., Chew, E. P., Lee, L. H., & Sun, Z. (2012). DEA based on strongly efficient and inefficient frontiers and its application on port efficiency measurement. OR Spectrum, 34(4), 943–969.
  • Kong, Y., & Liu, J. (2021). Sustainable port cities with coupling coordination and environmental efficiency. Ocean & Coastal Management, 205, 105534.
  • Krmac, E., & Mansouri Kaleibar, M. (2023). A comprehensive review of data envelopment analysis (DEA) methodology in port efficiency evaluation. Maritime Economics & Logistics, 25(4), 817–881.
  • Li, Z., Wang, X., Zheng, R., Na, S., & Liu, C. (2022). Evaluation analysis of the operational efficiency and total factor productivity of container terminals in China. Sustainability, 14(20), 13007.
  • Limak Port. (2025, October 26). Limak Port Technical Features. https://www.limakports.com.tr/en/port-features/port-technical-features Martínez-Moya, J., Mestre-Alcover, A., Sala-Garrido, R., & Furió-Pruñonosa, S. (2024). Are transhipment ports more efficient in the Mediterranean Sea? Analysing the role of time at ports using DEA metafrontier approach. Journal of Transport Geography, 116, 103866.
  • Munim, Z. H. (2020). Does higher technical efficiency induce a higher service level? A paradox association in the context of port operations. The Asian Journal of Shipping and Logistics, 36(4), 157–168.
  • Nguyen, H.-O., Nguyen, H.-V., Chang, Y.-T., Chin, A. T. H., & Tongzon, J. (2016). Measuring port efficiency using bootstrapped DEA: the case of Vietnamese ports. Maritime Policy & Management, 43(5), 644–659.
  • Notteboom, T., Pallis, A., & Rodrigue, J.-P. (2025). Defining seaports. Port Economics, Management and Policy. Https://Porteconomicsmanagement.Org/Pemp/Contents/Introduction/Defining-Seaports/.
  • Qu, H., Wang, X., Meng, L., & Han, C. (2024). Liner Schedule Design under Port Congestion: A Container Handling Efficiency Selection Mechanism. Journal of Marine Science and Engineering, 12(6), 951.
  • R Core Team. (2024). R: A Language and environment for statistical computing. (Version 4.4) [Computer software]. Retrieved from https://cran.r-project.org. (R packages retrieved from CRAN snapshot 2024-08-07).
  • Ragsdale, C. T. (2007). Spreadsheet Modeling & Decision Analysis: A Practical Introduction to Business Analytics (8th Edition). CENGAGE Learning.
  • Sun, Q., Chen, L., & Meng, Q. (2022). Evaluating port efficiency dynamics: A risk-based approach. Transportation Research Part B: Methodological, 166, 333–347.
  • The jamovi project. (2024). jamovi. (Version 2.6) [Computer Software]. Retrieved from https://www.jamovi.org.
  • TÜRKLİM. (2024). Turkish port industry 2024 report: Digital technologies and smart ports. https://www.turklim.org/pdf/Turklim-2024-Sekt%C3%B6r-Raporu-4-Haziran.pdf
  • United Nations Conference on Trade and Development. (2024). Review of Maritime Transport 2024: Navigating Maritime Chokepoints. United Nations Conference on Trade and Development. https://unctad.org/publication/review-maritime-transport-2024
  • Wang, C.-N., Nguyen, P.-H., Nguyen, T.-L., Nguyen, T.-G., Nguyen, D.-T., Tran, T.-H., Le, H.-C., & Phung, H.-T. (2022). A two-stage DEA approach to measure operational efficiency in Vietnam’s port industry. Mathematics, 10(9), 1385.
  • Ye, C., Cai, T., Zhang, C., & Cao, W. (2025). Sustainability-based evolution of port hinterlands: green performance and spatial impacts in the Bohai Rim. Ecological Indicators, 178, 114095.
  • Yen, B. T. H., Huang, M.-J., Lai, H.-J., Cho, H.-H., & Huang, Y.-L. (2023). How smart port design influences port efficiency–A DEA-Tobit approach. Research in Transportation Business & Management, 46, 100862.
  • Yorulmaz, M., & Baykan, Y. (2024). Liman işletmelerinin dijitalleşme düzeylerinin bütünleşik bir modelle değerlendirilmesi. Uluslararası İktisadi ve İdari İncelemeler Dergisi, 42, 19–36.
  • Zhang, J., Yang, D., & Luo, M. (2024). Port efficiency types and perspectives: A literature review. Transport Policy, 156, 13–24.
Toplam 34 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Deniz Taşımacılığı ve Nakliye Hizmetleri
Bölüm Araştırma Makalesi
Yazarlar

Serkan Karakaş 0000-0001-9323-5025

Gönderilme Tarihi 5 Kasım 2025
Kabul Tarihi 29 Kasım 2025
Yayımlanma Tarihi 30 Aralık 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 4 Sayı: 8

Kaynak Göster

APA Karakaş, S. (2025). Evaluating the Output-Oriented Technical Efficiency of Container Ports in Türkiye. Denizcilik Araştırmaları Dergisi: Amfora, 4(8), 56-67. https://doi.org/10.5281/zenodo.18092547

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