Evaluating and Benchmarking Productive Performance of Shipping Companies

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As the shipping service has become similar standard, to seek for expansion and competitive advantages, the industry would either increase its quality or decrease operating costs. Although it was highly competitive in the industry, as the corporations have become internationalized, many logistics were dependent on the shipping transportation. The purpose of this paper is to analyze efficiency and productivity growth of shipping company in the world for the period 2000–2010. The Malmquist Productivity Indexes was based on the distance functions to decompose the productivity growth into two mutually exclusive components: technical efficiency change and technical change overtime, which measures the change in efficiency frontier shift. From the results, we know that pure technical efficiency and scale efficiency change during the financial crisis is worse.

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3675-3678

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January 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Christiansen, M., et al., Maritime transportation. Handbooks in operations research and management science, 2007. 14: pp.189-284.

Google Scholar

[2] Grammenos, C.T., The handbook of maritime economics and business. Recherche, 2002. 67: pp.2-6.

Google Scholar

[3] Tongzon, J., Efficiency measurement of selected Australian and other international ports using data envelopment analysis. Transportation Research Part A: Policy and Practice, 2001. 35(2): pp.107-122.

DOI: 10.1016/s0965-8564(99)00049-x

Google Scholar

[4] Barros, C.P., The measurement of efficiency of Portuguese sea port authorities with DEA. International Journal of Transport Economics s, 2003. 30(3): pp.335-354.

Google Scholar

[5] Barros, C.P. and M. Athanassiou, Efficiency in European seaports with DEA: evidence from Greece and Portugal. Maritime Economics & Logistics, 2004. 6(2): pp.122-140.

DOI: 10.1057/palgrave.mel.9100099

Google Scholar

[6] Barros, C.P., A benchmark analysis of Italian seaports using data envelopment analysis. Maritime Economics & Logistics, 2006. 8(4): pp.347-365.

DOI: 10.1057/palgrave.mel.9100163

Google Scholar

[7] Panayides, P.M., et al., A critical analysis of DEA applications to seaport economic efficiency measurement. Transport Reviews, 2009. 29(2): pp.183-206.

DOI: 10.1080/01441640802260354

Google Scholar

[8] Barros, C.P. and N. Peypoch, Comparing productivity change in Italian and Portuguese seaports using the Luenberger indicator approach. Maritime Economics & Logistics, 2007. 9(2): pp.138-147.

DOI: 10.1057/palgrave.mel.9100176

Google Scholar

[9] Cullinane, K., The productivity and efficiency of ports and terminals: methods and applications. The handbook of maritime economics and business, 2002: pp.803-831.

Google Scholar

[10] Roll, Y. and Y. Hayuth, Port performance comparison applying data envelopment analysis (DEA). Maritime Policy and Management, 1993. 20(2): pp.153-161.

DOI: 10.1080/03088839300000025

Google Scholar

[11] Farrell, M.J., The measurement of productive efficiency. Journal of the Royal Statistical Society. Series A (General), 1957. 120(3): pp.253-290.

DOI: 10.2307/2343100

Google Scholar

[12] Charnes, A., W.W. Cooper, and E. Rhodes, Measuring the efficiency of decision making units. European Journal of Operational Research, 1978. 2(6): pp.429-444.

DOI: 10.1016/0377-2217(78)90138-8

Google Scholar

[13] Caves, D.W., L.R. Christensen, and W.E. Diewert, The economic theory of index numbers and the measurement of input, output, and productivity. Econometrica: Journal of the Econometric Society, 1982: pp.1393-1414.

DOI: 10.2307/1913388

Google Scholar

[14] Odeck, J., Assessing the relative efficiency and productivity growth of vehicle inspection services: An application of DEA and Malmquist indices. European Journal of Operational Research, 2000. 126(3): pp.501-514.

DOI: 10.1016/s0377-2217(99)00305-7

Google Scholar

[15] Zelenyuk, V., Aggregation of Malmquist productivity indexes. European Journal of Operational Research, 2006. 174(2): pp.1076-1086.

DOI: 10.1016/j.ejor.2005.02.061

Google Scholar