Main Article Content
Container Terminal is very important in the maritime business including its efficiency of private terminal to be a part of port competition between different countries. However, the purpose of this study is to significantly measure terminal efficiency and inefficiency for improving the performance of the terminal and suggest how to make the terminal more efficient. Therefore, to achieve this objective, 20 private container terminals in AEC countries were select where input and output variables of berth length, number of berths, area, number of gantries crane and quay crane including container throughput were inserted. This research was carried out using DEA (Data Envelopment Analysis) CCR model and BCC model by using DEAP software to analyze the data. The result shows that 7 private container terminals were efficient and 13 were inefficient. In conclusion, there is need to improve the efficiency of the terminals by increasing their input variables and appropriately utilizing the terminal to run efficiently
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Abraham Charnes, William W. Cooper, Arie Y. Lewin, & Lawrence M. Seiford. (2013). Data envelopment analysis: theory, methodology, and application. London: Kluwer Academic.
Almawsheki, E. S., Muhammad, S. Z., & Ahmed , AI. S. (2014). Efficency analysis of container port: A review. In The Proceedings of 8th SEATUC SYMPOSIUM. Malaysia: Universiti Teknologi Malaysia.
Atcharaporn Sonprom., & Jintana Somswasdi. (2016). The efficiency of taxation in provincial revenue of the Northeast by data envelopment analysis (DEA) model. MBA-KKU Journal, 9(2), 318-333.
Bhanot, N., & Singh, H. (2014). Benchmarking the performance indicators of Indian Railway container business using data envelopment analysis. Benchmarking: An International Journal, 21(1), 101-120.
Carvalho, M. L. (2007). Performance evaluation of the portuguese seaports evaluation in the european context. Lisboa: Universidade Técnica de Lisboa.
Navarro-Chávez, C., & Zamora-Torres, A. (2014). Economic efficiency of the international port system: An analysis through data envelopment. International Business Research, 7(11), 108-116.
Coelli, T. (1996). A guide to DEAP version 2.1: A data envelopment analysis (Computer) program. Armidale: Centre for Efficiency and Productivity Analysis Department of Econometrics University of New England.
Demirel, B., Cullinane, K., & Haralambides, H. (2012). Container terminal efficiency and private sector participation. In The Blackwell Companion to Maritime Economics (pp. 571–598). John Wiley & Sons, Ltd.
Dong, G., Zhu, J., Li, J., Wang, H., & Gajpal, Y. (2019). Evaluating the environmental performance and operational efficiency of container ports: An application to the maritime silk road. International Journal of Environmental Research and Public Health, 16(12), 2226.
Fung Ng, A. S., & LEE, C. X. (2007). Port productivity analysis by using DEA: A case study in Malaysia. Sydney Australis: The University of Sydney.
Huguenin, J. M. (2012). Data envelopment analysis (DEA). Lausanne: IDHEAP.
Kutin, N., Nguyen, T. T., & Vallée, T. (2017). Relative efficiencies of ASEAN container ports based on data envelopment analysis. The Asian Journal of Shipping and Logistics, 33(2), 67–77.
Lee, H. S., Chou, M. T., & Kuo, S. G. (2005). Evaluating prot efficiency in ASIA pacific region with recursive data envelopment analysis. Journal of the Eastern Asia Society for Transportation Studies, 6, 544-559.
Lin, L.-C., & Lih, A. (2005). Application of DEA and SFA on the measurement of operating efficiencies for 27 International Container Ports. Proceedings of the Eastern Asia Society for Transportation Studies, 5, 592-607.
Lirn, Taih-Cherng, & Guo, J. L. (2011). Analyzing ports efficiency in the ASEAN and the V.I.S.T.A. by data envelopment analysis (DEA) technique. Journal of the Eastern Asia Society for Transportation Studies, 9, 2129-2144.
Liu, Q. (2010). Efficiency analysis of container ports and terminals. London: Centre for Transport Studies Department of Civil, Environmental and Geomatic Engineering University College London.
Mokhtar, K. (2013). Technical efficiency of container terminal operations: a dea approach. Journal of Operations and Supply Chain Managemen, 6(2), 1-19.
PJEVČEVIĆ, D., RADONJIĆ, A., HRLE, Z., & ČOLIĆ, V. (2012). DEA window analysis for measuring port efficiencies in Serbia. Traffic & Transportation, 24(1), 63-72.
Poitras, G., Tongzon, J., & Li, H. (1996). Measuring port efficiency: An application of data envelopment analysis. Singapore: National University of Singapore.
Pongpanich, R., & Ke, C. P. (2016). The efficiency measurement of container ports in Thailand by using DEA windows analysis approach. International Journal of Innovate Reserach & Development, 5(5), 247-253.
Reddy, T. (2015). Comparison and correlation coefficient between CRS and VRS models of OC mines. International Journal of Ethics in Engineering & Management Education, 2(1) 25-28.
Salem Al‐Eraqi, A., Mustafa, A., & Tajudin Khader, A. (2010). An extended DEA windows analysis: Middle East and East African seaports. Journal of Economic Studies, 37(2), 208–218.
So, S., Kim, J., Cho, G., & Kim, D.-K. (2007). Efficiency analysis and ranking of major container ports in Northeast Asia: An application of data envelopment analysis. International Review of Business Research Papers, 3(2), 486-503.
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.
Zheng, X. B., & PARK, N. K. (2016). A study on the efficiency of container terminal in Korea and China. The Asian Journal of Shipping and Logistics, 32(4), 213-220.