Open Access
| Issue |
RAIRO-Oper. Res.
Volume 59, Number 6, November-December 2025
|
|
|---|---|---|
| Page(s) | 3601 - 3619 | |
| DOI | https://doi.org/10.1051/ro/2025136 | |
| Published online | 08 December 2025 | |
- Turkish Chamber of Shipping, Maritime Sector Report. Access Date: 30 August 2023, https://www.denizticaretodasi.org.tr/media/SharedDocuments/sektorraporu/2023/DenizcilikSektor_Raporu%202022_21.08.2023_web.pdf (2023). [Google Scholar]
- S. Bray, L. Caggiani, M. Dell’Orco and M. Ottomanelli, Measuring transport systems efficiency under uncertainty by fuzzy sets theory-based data envelopment analysis. Proc. Soc. Behav. Sci. 111 (2014) 770–779. [Google Scholar]
- T.E. Notteboom and J.P. Rodrigue, Port regionalization: towards a new phase in port development. Maritime Policy Manage. 32 (2005) 297–313. [Google Scholar]
- A.R. Kim, A study on competitiveness analysis of ports in Korea and China by entropy weight TOPSIS. Asian J. Shipping Logistics 32 (2016) 187–194. [Google Scholar]
- A. Ates, S. Esmer, E. Zakir and K. Balci, Karadeniz konteyner terminallerinin goreceli etkinlik analizi. Dokuz Eylul Universitesi Denizcilik Fakultesi Dergisi 5 (2013) 1–22. [Google Scholar]
- O.F. Gorcun, Efficiency analysis of Black Sea container seaports: application of an integrated MCDM approach. Maritime Policy Manage. 48 (2021) 672–699. [Google Scholar]
- S. Alnipak, Liman operasyonel verimliliginin karlilik ile iliskisi: TCDD limanlarmzerine bir arastirma. Maliye ve Finans Yazilari 118 (2022) 239–256. [Google Scholar]
- E. Yuksekyildiz, ENTROPI ve EATWOS yontemleri ile Turkiye konteyner limanlarinin verimlilik analizi. Verimlilik Dergisi (2021) 3–24. DOI: 10.51551/verimlilik.660708. [Google Scholar]
- Y.O. Salawu and S.M. Ghadiri, Logistics costs for seaborne trade in Nigeria: an empirical study. Afr. J. Bus. Econ. Res. 17 (2022) 73–99. [Google Scholar]
- H. Turner, R. Windle and M. Dresner, North American containerport productivity: 1984—1997. Transp. Res. Part E: Logistics Transp. Rev. 40 (2004) 339–356. [Google Scholar]
- C.W.L. Hill, G.R. Jones and M.A. Schilling, Strategic Management: Theory: An Integrated Approach, 11th edition. Cengage Learning, Stamford, CT (2014). [Google Scholar]
- S. Giiner, Investigating infrastructure, superstructure, operating and financial efficiency in the management of Turkish seaports using data envelopment analysis. Transp. Policy 40 (2015) 36–48. [Google Scholar]
- H.D. Sherman and F. Gold, Bank branch operating efficiency: evaluation with data envelopment analysis. J. Banking Finan. 9 (1985) 297–315. [Google Scholar]
- J.C. Paradi and H. Zhu, A survey on bank branch efficiency and performance research with data envelopment analysis. Omega 41 (2013) 61–79. [Google Scholar]
- A.M. Habib and T.M. Shahwan, Measuring the operational and financial efficiency using a Malmquist data envelopment analysis: a case of Egyptian hospitals. Benchmarking Int. J. 27 (2020) 2521–2536. [Google Scholar]
- C. Guo, J. Fu, F. Ma, J. Zhan, Y. Sun and Q. Xie, Financial efficiency and financial resource allocation of Beijing-Tianjin-Hebei urban agglomeration. RAIRO-Oper. Res. 58 (2024) 207–228. [Google Scholar]
- E.H. Fanou and X. Wang, Assessment of transit transport corridor efficiency of landlocked African countries using data envelopment analysis. S. Afr. J. Sci. 114 (2018) 1–7. [Google Scholar]
- Y. Roll and Y. Hayuth, Port performance comparison applying data envelopment analysis (DEA). Maritime Policy Manage. 20 (1993) 161–163. [Google Scholar]
- L. Latruffe, K. Balcombe, S. Davidov and K. Zawalinska, Determinants of technical efficiency of crop and livestock farms in Poland. Appl. Econ. 36 (2004) 1255–1263. [Google Scholar]
- C. Pestana Barros, The measurement of efficiency of Portuguese sea port authorities with DEA. Int. J. Transp. Econ. 3 (2003) 1000–1020. [Google Scholar]
- M.E. Baysal, M. Uygur and B. Toklu, Veri zarflama analizi ile TCDD limanlarinda bir etkinlik olciimu calismasi. Gazi Universitesi MUhendislik Mimarlik Fakultesi Dergisi 19 (2004) 437–442. [Google Scholar]
- K. Cullinane, D.W. Song and T. Wang, The application of mathematical programming approaches to estimating container port production efficiency. J. Prod. Anal. 24 (2005) 73–92. [Google Scholar]
- L.R. Rios and A.C.G. Maçada, Analysing the relative efficiency of container terminals of Mercosur using DEA. Maritime Econ. Logistics 8 (2006) 331–346. [Google Scholar]
- Y.C.J. Wu and M. Goh, Container port efficiency in emerging and more advanced markets. Transp. Res. Part E: Logistics Transp. Rev. 46 (2010) 1030–1042. [Google Scholar]
- S.W. Hung, W.M. Lu and T.P. Wang, Benchmarking the operating efficiency of Asia container ports. Eur. J. Oper. Res. 203 (2010) 706–713. [Google Scholar]
- K. Bichou, An empirical study of the impacts of operating and market conditions on container-port efficiency and benchmarking. Res. Transp. Econ. 42 (2013) 28–37. [Google Scholar]
- E.S. Almawsheki and M.Z. Shah, Technical efficiency analysis of container terminals in the middle eastern region. Asian J. Shipping Logistics 31 (2015) 477–486. [Google Scholar]
- N. Kutin, T.T. Nguyen and T. Vallée, Relative efficiencies of ASEAN container ports based on data envelopment analysis. Asian J. Shipping Logistics 33 (2017) 67–77. [Google Scholar]
- B.B. Sağlam, A. Açık and E. Ertürk, Evaluation of investment impact on port efficiency: berthing time difference as a performance indicator. J. ETA Maritime Sci. 6 (2018) 37–46. [Google Scholar]
- M.M. Beuren, R. Andriotti, G.B.B. Vieira, J.L.D. Ribeiro and F.J.K. Neto, On measuring the efficiency of Brazilian ports and their management models. Maritime Econ. Logistics 20 (2018) 149–168. [Google Scholar]
- A. Acer and M. Timor, The evaluation of container terminal efficiency using by cluster and data envelopment analysis (DEA). Alphanumeric J. 5 (2017) 339–352. [Google Scholar]
- M. Birafane and M. El Abdi, Efficiency of Moroccan seaports: application of DEA using window analysis. Engineering 11 (2019) 107–118. [Google Scholar]
- F.S. Mustafa, R.U. Khan and T. Mustafa, Technical efficiency comparison of container ports in Asian and Middle East region using DEA. Asian J. Shipping Logistics 37 (2021) 12–19. [Google Scholar]
- H. Schøyen and J. Odeck, The technical efficiency of Norwegian container ports: a comparison to some Nordic and UK container ports using Data Envelopment Analysis (DEA). Maritime Econ. Logistics 15 (2013) 197–221. [Google Scholar]
- J. Chen, Z. Wan, F. Zhang, N.K. Park, X. He and W. Yin, Operational efficiency evaluation of iron ore logistics at the ports of Bohai Bay in China: based on the PCA-DEA model. Math. Prob. Eng. 2016 (2016) 1–13. [Google Scholar]
- A.C.L. Yuen, A. Zhang and W. Cheung, Foreign participation and competition: a way to improve the container port efficiency in China? Transp. Res. Part A: Policy Pract. 49 (2013) 220–231. [Google Scholar]
- P.F. Wanke and C.P. Barros, Public-private partnerships and scale efficiency in Brazilian ports: evidence from two-stage DEA analysis. Soc.-Econ. Planning Sci. 51 (2015) 13–22. [Google Scholar]
- G.F. De Oliveira and P. Cariou, The impact of competition on container port (in) efficiency. Transp. Res. Part A: Policy Pract. 78 (2015) 124–133. [Google Scholar]
- J.H. Luna, J. Mar-Ortiz, M.D. Gracia and D. Morales-Ramírez, An efficiency analysis of cargo-handling operations at container terminals. Maritime Econ. Logistics 20 (2018) 190–210. [Google Scholar]
- H. Itoh, Effeciency changes at major container ports in Japan: a window application of data envelopment analysis. Rev. Urban Reg. Dev. Stud. 14 (2002) 133–152. [Google Scholar]
- K. Cullinane, D.W. Song, P. Ji and T.F. Wang, An application of DEA windows analysis to container port production efficiency. Rev. Network Econ. 3 (2004) 184–206. [Google Scholar]
- A.S. Al-Eraqi, C.P. Barros, A. Mustaffa and A.T. Khader, Efficiency of middle eastern and east African seaports: application of DEA using window analysis. Eur. J. Sci. Res. 23 (2008) 597–612. [Google Scholar]
- K. Cullinane and T. Wang, The efficiency analysis of container port production using DEA panel data approaches. OR Spect. 32 (2010) 717–738. [Google Scholar]
- B. Kalgora, S.Y. Goli, B. Damigou, H.T. Abdoulkarim and K.K. Amponsem, Measuring West-Africa ports efficiency using data envelopment analysis. J. Transp. Technol. 9 (2019) 287–308. [Google Scholar]
- R. Kammoun and C. Abdennadher, Seaport efficiency and competitiveness in European seaports. Transp. Policy 121 (2022) 113–124. [Google Scholar]
- C. Quintano, P. Mazzocchi and A. Rocca, Examining eco-efficiency in the port sector via non-radial data envelopment analysis and the response based procedure for detecting unit segments. J. Clean. Prod. 259 (2020) 120979. [Google Scholar]
- S. Liu, S.H. Park, Y.S. Choi and G.T. Yeo, Efficiency evaluation of major container terminals in the top three cities of the Pearl River Delta using SBM-DEA and undesirable DEA. Asian J. Shipping Logistics 38 (2022) 99–106. [Google Scholar]
- N. Adler, G. Hirte, S. Kumar and H.M. Niemeier, The impact of specialization, ownership, competition and regulation on efficiency: a case study of Indian seaports. Maritime Econ. Logistics 24 (2022) 507–536. [Google Scholar]
- E. Yüksekyıldız and A.L. Tunçel, Determining the relative efficiency of container terminals in Turkey using fuzzy data envelopment analysis. Mar. Sci. Technol. Bull. 9 (2020) 102–113. [Google Scholar]
- S. Güner, Proposal of a two-stage model for measuring the port efficiency and an implication on Turkish ports. Alphanumer. J. 3 (2015) 99–106. [Google Scholar]
- J. Sun, Y. Yuan, R. Yang, X. Ji and J. Wu, Performance evaluation of Chinese port enterprises under significant environmental concerns: an extended DEA-based analysis. Transp. Policy 60 (2017) 75–86. [Google Scholar]
- P.N. Nguyen, S.H. Woo, A. Beresford and S. Pettit, Competition, market concentration, and relative efficiency of major container ports in Southeast Asia. J. Transp. Geogr. 83 (2020) 102653. [Google Scholar]
- T.F. Wang, D.W. Song and K. Cullinane, Container port production efficiency: a comparative study of DEA and FDH approaches. J. Eastern Asia Soc. Transp. Stud. 5 (2003) 698–713. [Google Scholar]
- A. Ate¸s and S. Esmer, Farklıyöntemler ile Türk konteyner limanlarının Verimliliği. Verimlilik Dergisi 1 (2014) 61–76. [Google Scholar]
- E. Martinez-Budria, R. Diaz-Armas, M. Navarro-Ibanez and T. Ravelo-Mesa, A study of the efficiency of Spanish port authorities using data envelopment analysis. Int. J. Transp. Econ. (1999) 237–253. [Google Scholar]
- S. Güner, E. Co¸skun and K. Ta¸skin, Liman özelle¸stirmelerinin operasyonel etkinlik üzerindeki etkisi: Türk limanlarıüzerinde dönemsel bir çalı¸sma. İstanbul Üniversitesi ݸsletme Fakültesi Dergisi 43 (2014) 218–236. [Google Scholar]
- D.J. Aigner, C.A.K. Lovell and P. Schmidt, Formulation and estimation of stochastic frontier production function models. J. Econometrics 6 (1977) 21–37. [Google Scholar]
- W.H. Greene, Fixed and random effects in stochastic frontier models. J. Prod. Anal. 23 (2005) 7–32. [Google Scholar]
- P. Coto-Millan, J. Banos-Pino and A. Rodriguez-Alvarez, Economic efficiency in Spanish ports: some empirical evidence. Maritime Policy Manage. 27 (2000) 169–174. [Google Scholar]
- T. Notteboom, C. Coeck and J. Van Den Broeck, Measuring and explaining the relative efficiency of container terminals by means of Bayesian stochastic frontier models. Int. J. Maritime Econ. 2 (2000) 83–106. [Google Scholar]
- K. Cullinane, D.W. Song and R. Gray, A stochastic frontier model of the efficiency of major container terminals in Asia: assessing the influence of administrative and ownership structures. Transp. Res. Part A Policy Pract. 36 (2002) 743–762. [Google Scholar]
- J. Tongzon and W. Heng, Port privatization, efficiency and competitiveness: some empirical evidence from container ports (terminals). Transp. Res. Part A Policy Pract. 39 (2005) 405–424. [Google Scholar]
- L. Trujillo, M.M. González and J.L. Jiménez, An overview on the reform process of African ports. Util. Policy 25 (2013) 12–22. [Google Scholar]
- I. Perez, L. Trujillo and M.M. González, Efficiency determinants of container terminals in Latin American and the Caribbean. Util. Policy 41 (2016) 1–14. [Google Scholar]
- P. Coto-Millán, X.L. Fernández, S. Hidalgo and M. Á. Pesquera, Public regulation and technical efficiency in the Spanish Port Authorities: 1986–2012. Transp. Policy 47 (2016) 139–148. [Google Scholar]
- K. Cullinane, T.F. Wang, D.W. Song and P. Ji, The technical efficiency of container ports: comparing data envelopment analysis and stochastic frontier analysis. Transp. Res. Part A Policy Pract. 40 (2006) 354–374. [Google Scholar]
- A. Hlali, Efficiency analysis with different models: the case of container ports. J. Mar. Sci. Res. Dev. 8 (2018) 1–10. [Google Scholar]
- B. López-Bermúdez, M.J. Freire-Seoane and D.J. Nieves-Martínez, Port efficiency in Argentina from 2012 to 2017: an ally for sustained economic growth. Util. Policy 61 (2019) 100976. [Google Scholar]
- B. López-Bermúdez, M.J. Freire-Seoane and F. González-Laxe, Efficiency and productivity of container terminals in Brazilian ports (2008–2017). Util. Policy 56 (2019) 82–91. [Google Scholar]
- A. Tsakiridis, I. Mateo-Mantecón, E. O’Connor, S. Hynes and C. O’Donoghue, Efficiency benchmarking of Irish and North Atlantic Spanish ports: implications for blue growth. Util. Policy 72 (2021) 101268. [Google Scholar]
- D. Caves, L. Christensen and W.E. Diewert, The economic theory of index numbers and the measurement of input, output, and productivity. Econometrica 50 (1982) 1393–1414. [CrossRef] [Google Scholar]
- S. Malmquist, Index numbers and indifference surfaces. Trabajos de Estadistica y de Investigacion Operativa 4 (1953) 209–242. [CrossRef] [Google Scholar]
- C.N. Wang, P.H. Nguyen, T.L. Nguyen, T.G. Nguyen, D.T. Nguyen, T.H. Tran, H.-C. Le and H.T. Phung, A two-stage DEA approach to measure operational efficiency in Vietnam’s port industry. Mathematics 10 (2022) 1385. [Google Scholar]
- B. Tovar and A. Wall, Are larger and more complex port more productive? An analysis of Spanish port authorities. Transp. Res. Part A Policy Pract. 121 (2019) 265–276. [Google Scholar]
- C.N. Wang, N.A.T. Nguyen, H.P. Fu, H.P. Hsu and T.T. Dang, Efficiency assessment of seaport terminal operators using DEA Malmquist and epsilon-based measure models. Axioms 10 (2021) 48. [Google Scholar]
- B. Song and Y. Cui, Productivity changes in Chinese container terminals 2006–2011. Transp. Policy 35 (2014) 377–384. [Google Scholar]
- Z.Y. Ding, G.S. Jo, Y. Wang and G.T. Yeo, The relative efficiency of container terminals in small and medium-sized ports in China. Asian J. Shipping Logistics 31 (2015) 231–251. [Google Scholar]
- T.L.H. Nguyen, S.H. Park, Y. Kim and G.T. Yeo, An efficiency analysis of container terminals in Southern Vietnam using DEA dynamic efficiency evaluation. Asian J. Shipping Logistics 37 (2021) 329–336. [Google Scholar]
- J.L. Tongzon, Determinants of port performance and efficiency. Transp. Res. Part A Policy Pract. 29 (1995) 245–252. [Google Scholar]
- I. Pérez, M.M. González and L. Trujillo, Do specialisation and port size affect port efficiency? Evidence from cargo handling service in Spanish ports. Transp. Res. Part A Policy Pract. 138 (2020) 234–249. [Google Scholar]
- V. Chang and B. Tovar, Drivers explaining the inefficiency of Peruvian and Chilean ports terminals. Transp. Res. Part E: Logistics Transp. Rev. 67 (2014) 190–203. [Google Scholar]
- F. Ecer and D. Pamučar, A novel LOPCOW-DOBI multi-criteria sustainability performance assessment methodology: an application in developing country banking sector. Omega 112 (2022) 102690. [CrossRef] [Google Scholar]
- D. Diakoulaki, G. Mavrotas and L. Papayannakis, Determining objective weights in multiple criteria problems: the critic method. Comput. Oper. Res. 22 (1995) 763–770. [CrossRef] [Google Scholar]
- H. Zhu and F. Liu, A group-decision-making framework for evaluating urban flood resilience: a case study in Yangtze River. Sustainability 13 (2021) 665. [Google Scholar]
- M.K. Ghorabaee, M. Amiri, E.K. Zavadskas and J. Antuchevičienė, Assessment of third-party logistics providers using a CRITIC–WASPAS approach with interval type-2 fuzzy sets. Transport 32 (2017) 66–78. [Google Scholar]
- B. Bairagi, B. Dey, B. Sarkar and S.K. Sanyal, A De Nono multi-criteria decision making technique with an application in performance evaluation of material handling. Comput. Ind. Eng. 87 (2015) 267–282. [CrossRef] [Google Scholar]
- M.L. Peters and S. Zelewski, Efficiency analysis under consideration of satisficing levels for output quantities, in Proceedings of the 17th Annual Conference of the Production and Operations Management Society (POMS). Vol. 28 (2006). [Google Scholar]
- Ö.F. Görçün, S.H. Zolfani and M. Çanakçıoğlu, Analysis of efficiency and performance of global retail supply chains using integrated fuzzy SWARA and fuzzy EATWOS methods. Oper. Manage. Res. 15 (2022) 1445–1469. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.
