A SURVEY OF DATA ENVELOPMENT ANALYSIS IN CONTAINER TERMINALS

Year 2020, Volume: 2 Issue: 2, 77 - 88, 31.12.2020

Volkan Efecan , İzzettin Temiz

https://doi.org/10.47512/meujmaf.821687

Cited By: 1

Abstract

In recent years, Data Envelopment Analysis (DEA) technique has been used quite frequently in determining container terminal efficiency. When the studies reviewed, conducted on the subject in the recent past, it is seen that the details such as the parameter on which the activity model focuses, sample selection, sample size and input-output selection have not yet been clarified enough, additionally, problems and confusion are encountered in practice. In this study, a critical analysis was carried out regarding the determinations in the use of the DEA technique, which is frequently used in the measurement of container terminal efficiency, and on which issues should be considered in order to establish the model better. In the consequences of the study, it was seen that data accessibility was an obstacle to reaching more robust results in efficiency analysis. It is very important to make evaluations between ports that are close to each other in terms of regional or infrastructure, demand and technological development in order to obtain more reliable and consistent results. Moreover, future studies should consider reliable inputs such as the number of equipment in the terminal that divided by two group, the terminal area, maximum depth, pier length.

Keywords

Container Terminal, Productivity, Efficiency, DEA, Data Envelopment Analysis

References

• Acer, A., Timor, M. (2017). The Evaluation of Turkish Container Terminal Efficiency Using by Data Envelopment Analysis (DEA), Alphanumeric Journal, 5:2, 340–352.
• Aigner, D., Lovell, C. A. K., Schmidt, P. (1977), Formulation and Estimation of Stochastic Frontier Production Function Models, Journal of Econometrics, 6, 21–37, 1977.
• Almawsheki, E. S., & Shah, M. Z. (2013). Technical Efficiency Analysis of Container Terminals in the Middle Eastern Region, The Asian Journal of Shipping and Logistics, 31(4), 477-486.
• 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.
• Baran, J., and Górecka, A. (2015). Seaport efficiency and productivity based on Data Envelopment Analysis and Malmquist Productivity Index, Logistics &Sustainable Transport, 6(1), 25–33.
• Birafane, M., and Abdi, M. El. (2019). Efficiency of Moroccan Seaports : Application of DEA Using Window Analysis, Engineering, 11(02), 107–118.
• Bottasso, A., Conti, M., Ferrari, C. (2011), Efficiency and Productivity Growth in a Sample of Italian Containers Terminals, International Journal of Transport Economics, 38, 2, pp. 107–122.
• Çağlar, V., Oral, E., 2011, Türk Özel Limanlarının Etkinlik Verimlilik Analizi, Dokuz Eylül Üniversitesi Yayınları
• Carine, F. (2015). Analyzing the Operational Efficiency of Container Ports in Sub-Saharan Africa, Open Journal of Social Sciences, 3(10):10-17.
• Caves, D., Christensen, L. and Diewert, W.E. (1982) the Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity. Econometrica, 50, 1393-1414.
• Charnes, A, Cooper, W.W. and Rhodes, E. (1978), Measuring the Efficiency of Decision Making Units, European Journal of Operational Research, 2, 429-444.
• Chengpeng, W., Di, Z., Xinping, Y., &Zaili, Y. (2018). A Novel Model for the Quantitative Evaluation of Green Port Development – A Case Study of Major Ports in China. Transportation Research Part D, 61, 431–443.
• Cheon, S., Dowall, D. E., & Song, D. (2010). Evaluating impacts of institutional reforms on port efficiency changes : Ownership, corporate structure, and total factor productivity changes of world container ports. Transportation Research Part E, 46(4), 546–561.
• Cuccia, T. (2017). UNESCO sites and performance trend of Italian regional tourism destinations : A two-stage DEA window analysis with spatial interaction, Tourism Economics, 23(2), 316–342.
• Cullinane, K. and Song, D. (2006), Estimating the Relative Efficiency of European Container Ports: A Stochastic Frontier Analysis, Research in Transportation Economics,16(06), 85–115.
• Cullinane, K. and Song, D. W. (2003). A stochastic frontier model of the productive efficiency of Korean container terminals, Applied Economics, 35(3), 251-267
• Cullinane, K., 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, 743–762.
• Cullinane, K., and Wang, T. (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.
• Cullinane, K., and Wang, T. (2010). The efficiency analysis of container port production using DEA panel data approaches, OR Spectrum, 32, 717–738.
• Devine, P. G., and Ostrom, T. M. (1985). Cognitive mediation of inconsistency discounting. Journal of Personality and Social Psychology, 49(1), 5–21.
• Erturan, B., Uysal, F. (2013). Türkiyede Demiryolu Taşımacılığı’nın Etkinliği üzerineVeri Zarflama Analizi ve Network Veri Zarflama Analizinin Karşılaştırılması. Cumhuriyet Üniversitesi, İktisadi Bilimler Dergisi, 14(1), 419–437.
• Fare, R., and Lovell, C. K. (1978). Measuring the Technical Efficiency of Production. Journal of Economic Theory, 19(1), 150-162.
• Fare, R., Grosskopf, S., Norris, M., Zhang, Z. (1994), Productivity Growth, Technical Progress and Efficiency Changes in Industrialized Countries. American Economic Review, 84, 66-83.
• Farrell, R. S. (1957). The Measurement of Productive Efficiency, Journal of the Royal Statistical Society, Series A (General), 120(3), 253-281.
• Gülcü, A., Coşkun, A., Yeşilyurt, C., Coşkun, S. Esener, T. (2004), Cumhuriyet Üniversitesi Diş Hekimliği Fakültesi’nin Veri Zarflama Analizi Yöntemiyle Göreceli Etkinlik Analizi, C.Ü. İktisadi ve İdari Bilimler Dergisi, Cilt.5, Sayı. 2, 87-104.
• Güner, S. (2015). Investigating Infrastructure, Superstructure, Operating and Financial Efficiency in the Management of Turkish Seaports Using Data Envelopment Analysis. Transport Policy, 40, 36–48.
• Hlali, A. (2018). Efficiency Analysis with Different Models : The Case of Container Ports, Journal of Marine Science : Research & Development, 8:250, Vol 8(2).
• Hung, S., Lu, W., and Wang, T. (2010). Benchmarking the operating efficiency of Asia container ports. European Journal of Operational Research, 203(3), 706–713.
• Jiang, B., Li, J. (2009). DEA-based Performance Measurement of Seaports in Northeast Asia : Radial and Non-radial Approach, The Asian Journal of Shipping and Logistics, 25(2), 219–236.
• Jo, Z. D. Ř. G., and Wang, Ř. Y. (2015). The Relative Efficiency of Container Terminals in Small and Medium-Sized Ports in China. The Asian Journal of Shipping and Logistics, 31(2), 231–251.
• Kalgora, B., Goli, S. Y., Damigou, B., and Abdoulkarim, H. T. (2019). Measuring West-Africa Ports Efficiency Using Data Envelopment Analysis, The Journal of Transportation Technologies, 9, 287–308.
• Kammoun, R. (2018). The Technical Efficiency of Tunisian Ports : Comparing Data Envelopment Analysis and Stochastic Frontier Analysis Scores, Journal of Marine Science : Research & Development, 8:261, Vol 8(6).
• Kang, Tae-Won. (2015). Seaport Efficiency in China; From the Perspective of Malmquist Total Factor Productivity. Journal of Distribution and Management Research. 18. 45-52.
• Kumbhakar, S.C. and Lovell, C.A.K. (2000). Stochastic Frontier Analysis : An Econometric Approach, Cambridge University Press
• Kutin, N., Nguyen, T. T., Vallee, T., (2017). Relative Efficiencies of ASEAN Container Ports based on Data Envelopment Analysis. The Asian Journal of Shipping and Logistics, 33(2), 67-77.
• Mahmoudi, R., Emrouznejad, A., Shetab-boushehri, S., & Reza, S. (2020). The origins, development and future directions of data envelopment analysis approach in transportation systems. Socio-Economic Planning Sciences, 69, 100672.
• Malmquist, S. (1953) Index Numbers and Indifference Surfaces. Trabajos de Estadistica, 4, 209-242.
• Munisamy, S., and Jun, O. B. (2013). Efficiency of Latin American Container Seaports using DEA, Proceedings of 3rd Asia-Pacific Business Research Conference 25 - 26 February 2013, Kuala Lumpur, Malaysia.
• Nicholson, W., (1995), Microeconomic Theory: Basic Principles and Extensions. Canada: Thomson South Western. Ninth Edition.
• Notteboom, T., and Verhoeven, P. (2010). The awarding of seaport terminals to private operators : European practices and policy implications, European Transport\TrasportiEuropei, 45, 83-101
• Odeck, J., and Bråthen, S. (2012). A meta-analysis of DEA and SFA studies of the technical efficiency of seaports : A comparison of fixed and random-effects regression models. Transportation Research Part A, 46(10), 1574–1585.
• Photis, M. Panayides, Christos N. Maxoulis, Teng‐Fei Wang & Koi Yu Adolf Ng (2009) A Critical Analysis of DEA Applications to Seaport Economic Efficiency Measurement, Transport Reviews, 29:2, 183-206.
• Polyzos, S., and Niavis, S. (2013). Evaluating port efficiency in the Mediterranean, International Journal of Data Analysis Techniques and Strategies, 5:1, 85-99
• Roll, Y. and Hayuth, Y. (1993) Port Performance Comparison Applying Data Envelopment Analysis (DEA). Maritime Policy and Management, 20, 153-161.
• Rouyendegh B. D. (2011), Selecting the high-performing departments within universities applying the fuzzy MADM methods, Scientific Research and Essays, 6 (13), 2646-2654.
• Rouyendegh D. E. B., Oztekin, A., Ekong, J., Dag, A. (2019). Measuring the efficiency of hospitals: a fully-ranking DEA–FAHP approach. Annals of Operations Research. 278(1-2), 361-378.
• Sarriera, J. M., Araya, G.,Serebrisky, T., Briceno-Garmendia, C.& Schwartz, J., (2013). "Benchmarking container port technical efficiency in Latin America and the Caribbean: a stochastic frontier analysis," Policy Research Working Paper Series 6680, The World Bank.
• Schmidt, P., Lovell, A. K. (1979), Estimating technical and allocative inefficiency relative to stochastic Production and Cost Frontiers. Journal of Econometrics, 9(3), 343-366.
• Schøyen, H. and 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
• Song, B., and Cui, Y. (2014). Productivity changes in Chinese Container Terminals 2006 – 2011. Transport Policy, 35, 377–384.
• Tobin, J. (1958), Estimation of Relationships for Limited Dependent Variables, Econometrica, 26(1), 24-36.
• Tongzon, J., and Heng, W. (2005). Port Privatization, Efficiency and Competitiveness : Some Empirical Evidence from Container Ports (Terminals), Transportation Research Part A: Policy and Practice, 39(5), 405–424.
• Trujillo, L. (2009). Efficiency Measurement in the Port Industry : A Survey of the Empirical Evidence Efficiency Measurement in the Port Industry : A Survey of the Empirical Evidence, Journal of Transport Economics and Policy, 43(2):157-192.
• Wang T., Cullinane K. (2015) The Efficiency of European Container Terminals and Implications for Supply Chain Management. In: Haralambides H.E. (eds) Port Management. Palgrave Readers in Economics. Palgrave Macmillan, London.
• Wanke, P. F. (2013). Physical infrastructure and shipment consolidation, efficiency drivers in Brazilian ports : A two-stage network-DEA approach. Transport Policy, 29, 145–153.
• Wiegmans, B., and Witte, P. (2017). Efficiency of Inland Waterway Container Terminals : Stochastic Frontier and Data Envelopment Analysis to Analyze the Capacity Design and Throughput Efficiency, Transportation Research Part A Policy and Practice, 106, 12–21.
• Wilmsmeier, G., Tovar, B., and Sanchez, R. J. (2013). Research in Transportation Business and Management, The Evolution of Container Terminal Productivity and Efficiency Under Changing Economic Environments, Research in Transportation Business & Management, 8, 50–66.
• Wu, Y. J., and Goh, M. (2010). Container port efficiency in emerging and more advanced markets. Transportation Research Part E, 46(6), 1030–1042.
• Ye, S., Qi, X., and Xu, Y. (2020). Analyzing the relative efficiency of China’s Yangtze River port system. Maritime Economics & Logistics, (0123456789).
• Yuen, A. C., Zhang, A., and Cheung, W. (2013). Foreign participation and competition : A way to improve the container port efficiency in China, Transportation Research Part A, 49, 220–231.
• Yükcü, S. and Atağan, G. (2009). Etkinlik, Etkililik ve Verimlilik Kavramlarının Yarattığı Karışıklık. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 23(4), 1–13.