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Evaluating the sustainability of national logistics performance using Data Envelopment Analysis

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  • Rashidi, Kamran
  • Cullinane, Kevin

Abstract

The objective of this paper is to evaluate the sustainability of operational logistics performance within a sample of OECD nations and to compare this to the most widely known national measure, the Logistics Performance Index (LPI), as developed by the World Bank. Data Envelopment Analysis is applied to derive an efficiency score reflecting the degree to which sustainable operational logistics performance (SOLP) is achieved within each sample nation. A comparison between the national rankings achieved under the LPI and SOLP evaluation regimes reveal that there is a statistically insignificant monotonic correlation between them. While one country may be a top performer with respect to one of the evaluation approaches, it does not emerge as such under the other. However, the results of the analysis suggest that logistics industries of the United States, the Netherlands, Norway and Australia are found to be top performers under both approaches, while that of Greece, Korea, Italy and Portugal are found to be poor performers under both. The paper concludes that the SOLP approach provides useful information that supplements that provided by the LPI, but that it better facilitates performance improvements within a nation's logistics industry by helping to identify the sources of inefficiency and the nations which possess benchmark performing logistics sectors.

Suggested Citation

  • Rashidi, Kamran & Cullinane, Kevin, 2019. "Evaluating the sustainability of national logistics performance using Data Envelopment Analysis," Transport Policy, Elsevier, vol. 74(C), pages 35-46.
    • Handle: RePEc:eee:trapol:v:74:y:2019:i:c:p:35-46
    DOI: 10.1016/j.tranpol.2018.11.014
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    as
    1. Luisa Mart𓐊Author-X-Name-First: Luisa & Leandro Garc𨀍, 2014. "The importance of the Logistics Performance Index in international trade," Applied Economics, Taylor & Francis Journals, vol. 46(24), pages 2982-2992, August.
    2. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    3. Vlontzos, George & Niavis, Spyros & Manos, Basil, 2014. "A DEA approach for estimating the agricultural energy and environmental efficiency of EU countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 91-96.
    4. Aguezzoul, Aicha, 2014. "Third-party logistics selection problem: A literature review on criteria and methods," Omega, Elsevier, vol. 49(C), pages 69-78.
    5. Choi, Yongrok & Zhang, Ning & Zhou, P., 2012. "Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure," Applied Energy, Elsevier, vol. 98(C), pages 198-208.
    6. Lai, Yung-Cheng & Barkan, Christopher P.L. & Önal, Hayri, 2008. "Optimizing the aerodynamic efficiency of intermodal freight trains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(5), pages 820-834, September.
    7. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    8. Al-Mansour, Fouad, 2011. "Energy efficiency trends and policy in Slovenia," Energy, Elsevier, vol. 36(4), pages 1868-1877.
    9. William Cooper & Jesús Pastor & Fernando Borras & Juan Aparicio & Diego Pastor, 2011. "BAM: a bounded adjusted measure of efficiency for use with bounded additive models," Journal of Productivity Analysis, Springer, vol. 35(2), pages 85-94, April.
    10. Mandic, Dragomir & Jovanovic, Predrag & Bugarinovic, Mirjana, 2014. "Two-phase model for multi-criteria project ranking: Serbian Railways case study," Transport Policy, Elsevier, vol. 36(C), pages 88-104.
    11. William Cooper & Kyung Park & Jesus Pastor, 1999. "RAM: A Range Adjusted Measure of Inefficiency for Use with Additive Models, and Relations to Other Models and Measures in DEA," Journal of Productivity Analysis, Springer, vol. 11(1), pages 5-42, February.
    12. Chakhtoura, Céline & Pojani, Dorina, 2016. "Indicator-based evaluation of sustainable transport plans: A framework for Paris and other large cities," Transport Policy, Elsevier, vol. 50(C), pages 15-28.
    13. Wong Hock Tsen, 2006. "Granger causality tests among openness to international trade, human capital accumulation and economic growth in China: 1952-1999," International Economic Journal, Taylor & Francis Journals, vol. 20(3), pages 285-302.
    14. Cook, Wade D. & Seiford, Larry M., 2009. "Data envelopment analysis (DEA) - Thirty years on," European Journal of Operational Research, Elsevier, vol. 192(1), pages 1-17, January.
    15. Charnes, A. & Cooper, W. W. & Golany, B. & Seiford, L. & Stutz, J., 1985. "Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 91-107.
    16. Clarke, Matthew & Islam, Sardar M. N., 2003. "Measuring social welfare: application of social choice theory," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 32(1), pages 1-15, March.
    17. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2006. "Introduction to Data Envelopment Analysis and Its Uses," Springer Books, Springer, number 978-0-387-29122-2, November.
    18. Asoke Dey & Paul LaGuardia & Mahesh Srinivasan, 2011. "Building sustainability in logistics operations: a research agenda," Management Research Review, Emerald Group Publishing Limited, vol. 34(11), pages 1237-1259, October.
    19. Cui, Qiang & Li, Ye, 2017. "Airline efficiency measures using a Dynamic Epsilon-Based Measure model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 121-134.
    20. Ming-Miin Yu & Bo Hsiao, 2016. "Measuring the technology gap and logistics performance of individual countries by using a meta-DEA--AR model," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(1), pages 98-120, January.
    21. Sevgi Sezer & Tezcan Abasiz, 2017. "The Impact Of Logistics Industry On Economic Growth: An Application In Oecd Countries," Eurasian Journal of Social Sciences, Eurasian Publications, vol. 5(1), pages 11-23.
    22. Fare, Rolf & Knox Lovell, C. A., 1978. "Measuring the technical efficiency of production," Journal of Economic Theory, Elsevier, vol. 19(1), pages 150-162, October.
    23. Cui, Qiang & Li, Ye, 2017. "Airline efficiency measures under CNG2020 strategy: An application of a Dynamic By-production model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 130-143.
    24. Pastor, J. T. & Ruiz, J. L. & Sirvent, I., 1999. "An enhanced DEA Russell graph efficiency measure," European Journal of Operational Research, Elsevier, vol. 115(3), pages 596-607, June.
    25. Sueyoshi, Toshiyuki & Sekitani, Kazuyuki, 2009. "An occurrence of multiple projections in DEA-based measurement of technical efficiency: Theoretical comparison among DEA models from desirable properties," European Journal of Operational Research, Elsevier, vol. 196(2), pages 764-794, July.
    26. Lisa J. Servon, 1997. "Microenterprise Programs in U.S. Inner Cities: Economic Development or Social Welfare?," Economic Development Quarterly, , vol. 11(2), pages 166-180, May.
    27. Wade D. Cook & Julie Harrison & Raha Imanirad & Paul Rouse & Joe Zhu, 2013. "Data Envelopment Analysis with Nonhomogeneous DMUs," Operations Research, INFORMS, vol. 61(3), pages 666-676, June.
    28. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    29. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "DEA environmental assessment of coal fired power plants: Methodological comparison between radial and non-radial models," Energy Economics, Elsevier, vol. 34(6), pages 1854-1863.
    30. Kim, Sang-Hoon, 2007. "Evaluation of negative environmental impacts of electricity generation: Neoclassical and institutional approaches," Energy Policy, Elsevier, vol. 35(1), pages 413-423, January.
    31. Prieto, Angel M. & Zofio, Jose L., 2007. "Network DEA efficiency in input-output models: With an application to OECD countries," European Journal of Operational Research, Elsevier, vol. 178(1), pages 292-304, April.
    32. Oum, Tae Hoon & Fu, Xiaowen & Yu, Chunyan, 2005. "New evidences on airline efficiency and yields: a comparative analysis of major North American air carriers and its implications," Transport Policy, Elsevier, vol. 12(2), pages 153-164, March.
    33. Kristof Witte & Rui Marques, 2010. "Influential observations in frontier models, a robust non-oriented approach to the water sector," Annals of Operations Research, Springer, vol. 181(1), pages 377-392, December.
    34. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    35. Easterlin, Richard A., 1995. "Will raising the incomes of all increase the happiness of all?," Journal of Economic Behavior & Organization, Elsevier, vol. 27(1), pages 35-47, June.
    36. Retzlaff-Roberts, Donna & Chang, Cyril F. & Rubin, Rose M., 2004. "Technical efficiency in the use of health care resources: a comparison of OECD countries," Health Policy, Elsevier, vol. 69(1), pages 55-72, July.
    37. Ramanathan, Ramakrishnan, 2006. "Evaluating the comparative performance of countries of the Middle East and North Africa: A DEA application," Socio-Economic Planning Sciences, Elsevier, vol. 40(2), pages 156-167, June.
    38. Venus Lun, Y.H. & Lai, Kee-hung & Wong, Christina W.Y. & Cheng, T.C.E., 2015. "Greening propensity and performance implications for logistics service providers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 74(C), pages 50-62.
    39. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
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