An Application of the DEA-Cross Efficiency Approach in Turkish Dry-Bulk and General Cargo Terminals

Year 2023, Volume: 12 Issue: 4, 540 - 552, 31.12.2023

Volkan Efecan

https://doi.org/10.33714/masteb.1377896

Abstract

Dry bulk and general cargo terminals are the facilities that should quickly adapt to global supply chain dynamics. Each loading/unloading, conveying, horizontal carriage and temporary storage process involves complex organizational structures and procedures. Planned physical investments may lead to inefficiency under dynamic environmental conditions and may also result in a waste of resources. This study aims to examine the technical efficiency of dry-bulk and general cargo terminals in Türkiye with DEA cross-efficiency and DEA Slacks-based models. The findings imply that the terminals handling iron and steel are more efficient than the others. Besides, on average, the dry bulk and general cargo terminals can achieve higher output levels with fewer infrastructures and handling equipment. Therefore, it may be appropriate for the terminals examined to revise their resource utilization rates and short-term investment strategies. Moreover, since it allows pair-wise comparisons of terminals handling similarly featured cargo, DEA cross-efficiency can play a crucial role in dry-bulk performance measurement. Input slacks of relatively inefficient terminals are also calculated.

Keywords

Cross efficiency, DEA, Efficiency, Dry bulk, General cargo, Seaport

Ethical Statement

For this type of study, formal consent is not required.

References

• Anderson, T. R., Hollingsworth K. B., & Inman L. B. (2002). The fixed weighting nature of a cross-evaluation model. Journal of Productivity Analysis, 18(1), 249-255. https://doi.org/10.1023/A:1015012121760
• Antão, P., Calderón, M., Puig, M., Michail, A., Wooldridge, C., & Darbra, R. (2016). Identification of occupational health, safety, security (OHSS) and environmental performance indicators in port areas. Safety Science, 85, 266-275. https://doi.org/10.1016/j.ssci.2015.12.031
• Arslan, O., Arıcan, O. H., Ünal, A. U., & Bamyacı, M., (2021). Investigation of the effectiveness of maritime supervision services in ship solid bulk cargo handling operations. Social Sciences Studies Journal, 7(90), 4905-4915. https://doi.org/10.26449/sssj.3608
• Bal, K. & Esmer, S. (2015). Sıvı kimyasal yük terminallerinde operasyon süreçleri üzerine bir değerlendirme. II. Ulusal Liman Kongresi Bildiler Kitabı, Türkiye. https://doi.org/10.18872/DEU.b.ULK.2015.0022
• Balci, G., Cetin, İ. B., & Esmer, S. (2018). An evaluation of competition and selection criteria between dry bulk terminals in İzmir. Journal of Transport Geography, 69, 294-304. https://doi.org/10.1016/j.jtrangeo.2018.05.011
• Balk, B. M., De Koster, R. M. B. M., Kaps, C., & Zofío, J. L. (2021). An evaluation of cross-efficiency methods: With an application to warehouse performance. Applied Mathematics and Computation, 406, 126261. https://doi.org/10.1016/j.amc.2021.126261
• Banker, R. D., Charnes A., Cooper, W. W., Swarts, J., & Thomas, D. A. (1989). An introduction to data envelopment analysis with some of its models and their uses. Research in Governmental and Non-Profit Accounting, 5, 125-163.
• 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.
• Baran, J., & Aleksandra, G. (2015). Seaport efficiency and productivity based on data envelopment analysis and malmquist productivity index. Logistics & Sustainable Transport, 6(1), 25-33. https://doi.org/10.1515/jlst-2015-0008
• Baştuğ, S. (2023). Port efficiency evaluation of Turkish container ports based on DEA-SCOR model: An effective sea gateways in Türkiye for one belt and one road initiative. Marine Science and Technology Bulletin, 12(1), 27-38. https://doi.org/10.33714/masteb.1211636
• Bugaric, U., & Petrovic, D. (2007). Increasing the capacity of terminal for bulk cargo unloading. Simulation Modelling Practice and Theory, 15(10), 1366-1381. https://doi.org/10.1016/j.simpat.2007.09.006
• Charnes, A., Cooper, W. W., & Rhodes, E., (1978). Measuring the efficiency of decision-making units. European Journal of Operational Research, 2(6), 429–444, 1978.
• Coll-Serrano, V., Bolos, V., & Suarez, R. B. (2023). deaR: Conventional and Fuzzy Data Envelopment Analysis. R package version 1.4, https://CRAN.R-project.org/package=deaR
• Cooper, W. W., Seiford, L. M., & Zhu, J. (2011). Handbook on Data Envelopment Analysis (C. 164). Springer. https://doi.org/10.1007/978-1-4419-6151-8
• Corbett, J. J. & Winebrake, J. (2008). OECD/ITF Global Forum on Transport and Environment in a Globalising World. Mexico.
• Cullinan,e K. P. B., & Wang, T. (2006). The efficiency of European container ports: A cross-sectional data envelopment analysis. International Journal of Logistics Research and Applications, 9(1), 19–31. https://doi.org/10.1080/13675560500322417
• Cullinane, K., Song, D.-W., Ji, P., & Wang, T.-F. (2004). An application of DEA windows analysis to container port production efficiency. Review of Network Economics, 3(2), 184-206. https://doi.org/10.2202/1446-9022.1050
• Cullinane, K., Wang, T.-F., Song, D.-W., & Ji, P. (2006). The technical efficiency of container ports: Comparing data envelopment analysis and stochastic frontier analysis. Transportation Research Part A: Policy and Practice, 40(4), 354-374. https://doi.org/10.1016/j.tra.2005.07.003
• da Costa, D. S., de Assis Carvalho, M. V. G. S., de Figueiredo, N. M., de Moraes, H. B., & Ferreira R. C. B. (2021). The efficiency of container terminals in the northern region of Brazil. Utilities Policy, 72, 101278. https://doi.org/10.1016/j.jup.2021.101278
• de Langen, P. W., & Pallis, A. A. (2005). Analysis of the benefits of intra-port competition. International Journal of Transport Economics, 33(1), 69-85.
• Denktaş Şakar, G., & Uzun, A. (2021). Dry bulk and general cargo terminals in the supply chain: A Delphi study for Aliağa. Dokuz Eylül University Journal of Maritime Faculty, 13(1), 149-182. https://doi.org/10.18613/deudfd.942958
• Doyle, J., & Green, R. (1994). Efficiency and cross efficiency in DEA: Derivations, meanings and the uses. The Journal of the Operational Research Society, 45(5), 567-578.
• Efecan, V., & Temiz, İ. (2023). Assessing the technical efficiency of container ports based on a non-monotonic inefficiency effects model. Utilities Policy, 81, 101494. https://doi.org/10.1016/j.jup.2023.101494
• Esmer, S. (2008). Performance measurements of container terminal operations. Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 10(1), 238-255.
• Fancello, G., Serra, P., Aramu, V., & Vitiello, D. M. (2021). Evaluating the efficiency of Mediterranean container ports using data envelopment analysis. Competition and Regulation in Network Industries, 22(3-4), 163-188. https://doi.org/10.1177/17835917211047837
• Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society. Series A (General), 120(3), 253–290. https://doi.org/10.2307/2343100
• Figueiredo de Oliveira, G., & Cariou, P. (2015). The impact of competition on container port (in)efficiency. Transportation Research Part A: Policy and Practice, 78, 124-133. https://doi.org/10.1016/j.tra.2015.04.034
• Golany, B., & Roll, Y. (1988). An application procedure for DEA. Omega, 17(3), 237-250. https://doi.org/10.1016/0305-0483(89)90029-7
• Green, R. H., Doyle, J. R., & Cook, W. D. (1996). Preference voting and project ranking using DEA and cross-evaluation. European Journal of Operational Research, 90, 461-472. https://doi.org/10.1016/0377-2217(95)00039-9
• Güner, S. (2015). Proposal of a two-stage model for measuring the port efficiency and an implication on Turkish ports. Alphanumeric Journal, 3(2), 99-106. https://doi.org/10.17093/aj.2015.3.2.5000142149
• Jahanshahloo, G. R., Khodabakhshi, M., Hosseinzadeh Lotfi, F., & Moazami Goudarzi, M. R. (2011). A cross-efficiency model based on super-efficiency for ranking units through the TOPSIS approach and its extension to the interval case. Mathematical and Computer Modelling, 53(9-10), 1946-1955. https://doi.org/10.1016/j.mcm.2011.01.025
• Jeh, J., Nam, J., Sim, M., Kim, Y., & Shin, Y. (2022). A study on the efficiency analysis of global terminal operators based on the operation characteristics. Sustainability, 14(1), 536. https://doi.org/10.3390/su14010536
• Kim, S., Kim, C., Kim, S., & Choi, S. (2022). Rationalization in Korea container terminal using DEA cross-efficiency and cluster analysis. The Asian Journal of Shipping and Logistics, 38(2), 61-70. https://doi.org/10.1016/j.ajsl.2021.12.002
• Lee, T., Yeo, G., & Thai, V. V. (2014). changing concentration ratios and geographical patterns of bulk ports: The case of the Korean West Coast. Asian Journal of Shipping and Logistics, 30(2), 155-173. https://doi.org/10.1016/j.ajsl.2014.09.002
• Lim, S., & Zhu, J. (2015). DEA cross-efficiency evaluation under variable returns to scale. Journal of the Operational Research Society, 66(3), 476-487. https://doi.org/10.1057/jors.2014.13
• Martinez-Budria, E., Diaz-Armas, R., Navarro-Ibanez, M., & Ravelo-Mesa, T. (1999). A study of the efficiency of Spanish port authorities using data envelopment analysis. International Journal of Transport Economics, 26(2), 237–253.
• Merk, O. M., & Dang, T. (2012). Efficiency of world ports in container and bulk cargo (oil, coal, ores and grain). OECD Regional Development Working Papers, C. 2012/09).
• Notteboom, T., Coeck, C., & Van Den Broeck, J. (2000). Measuring and explaining the relative efficiency of container terminals by means of bayesian stochastic frontier models. International Journal of Maritime Economics, 2(2), 83-106. https://doi.org/10.1057/ijme.2000.9
• Oral, M., Kettani, O., & Lang, P. (1991). A methodology for collective evaluation and selection of industrial R&D projects. Management Science, 37(7), 871-883. https://doi.org/10.1287/mnsc.37.7.871
• Peckham, R. (2019). Performance measurement and benchmarking for dry bulk terminals. Dry bulk and specialist cargo handling. Port Technology International, 5, 72-74.
• Santiago, J. I. P., Orive, A. C., & Cancelas, N. G. (2021). DEA-bootstrapping analysis for different models of Spanish port governance. Journal of Marine Science and Engineering, 9(1), 30. https://doi.org/10.3390/jmse9010030
• Schott, D. L., & Lodewijks, G. (2007). Analysis of dry bulk terminals: chances for exploration. Particle and Particle Systems Characterization, 24(4-5), 375-380. https://doi.org/10.1002/ppsc.200601121
• Schøyen, H., & Odeck, J. (2013). The technical efficiency of Norwegian container ports: A comparison to some Nordic and UK container ports using data envelopment analysis (DEA). Maritime Economics and Logistics, 15(2), 197–221. https://doi.org/ 10.1057/mel.2013.3
• Serebrisky, T., Sarriera, J. M., Suárez-Alemán, A., Araya, G., Briceño-Garmendía, C., & Schwartz, J. (2016). Exploring the drivers of port efficiency in Latin America and the Caribbean. Transport Policy, 45, 31-45. https://doi.org/10.1016/j.tranpol.2015.09.004
• Sexton, T. R., Silkman, R. H., & Hogan, A. J. (1986). Data envelopment analysis: Critique and extensions. In R. H. Silkman (Ed.), Measuring efficiency: An assessment of data envelopment analysis (pp. 73-105). Jossey-Bass. https://doi.org/10.1002/ev.1441
• Sherman, H. D., & Zhu, J. (2006). Service productivity management improving service performance using data envelopment analysis (DEA). Springer. Service productivity management improving service performance using data envelopment analysis (DEA). Springer. https://doi.org/10.1007/0-387-33231-6
• Suliman, K. R., Rahim, S. A., Ramayah, T., & Degeras, D. K. (2019). Measuring technical efficiency of dry bulk terminal performance using the frontier application of data envelopment analysis: A proposed framework. Journal of Physics: Conference Series, 1366(1), 012100. https://doi.org/10.1088/1742-6596/1366/1/012100
• Tone, K. (2003) Dealing with undesirable outputs in DEA: A slacks-based measure (SBM) approach. GRIPS Research Report Series I-2003-0005.
• Tovar, B., & Wall, A. (2015). Can ports increase traffic while reducing inputs? Technical efficiency of Spanish Port Authorities using a directional distance function approach. Transportation Research Part A: Policy and Practice, 71, 128-140. https://doi.org/10.1016/j.tra.2014.11.003
• TURKLIM. (2023). Port operators association of Türkiye. Port Sector Report, 2023. Türkiye Liman İşletmecileri Derneği. Retrieved on October 18, 2023, from https://www.turklim.org/
• Wiśnicki, B., Chybowski, L., & Czarnecki, M. (2017). Analysis of the efficiency of port container terminals with the use of the data envelopment analysis method of relative productivity evaluation. Management Systems in Production Engineering, 25(1), 9-15. https://doi.org/10.1515/mspe-2017-0001
• Wu, J., Liang, L., & Song, M. (2010). Performance based clustering for benchmarking of container ports: An application of DEA and cluster analysis technique. International Journal of Computational Intelligence Systems, 3(6), 709–722. https://doi.org/10.1080/18756891.2010.9727734
• Wu, W.-M., & Lin, J.-R. (2015). Productivity growth, scale economies, ship size economies and technical progress for the container shipping industry in Taiwan. Transportation Research Part E: Logistics and Transportation Review, 73, 1-16. https://doi.org/10.1016/j.tre.2014.10.011
• Yüksekyıldız, E., & Tunçel, A. L. (2020). Determining the relative efficiency of container terminals in turkey using fuzzy data envelopment analysis. Marine Science and Technology Bulletin, 9(2), 102-113. https://doi.org/10.33714/masteb.711452