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A meta-analysis of DEA and SFA studies of the technical efficiency of seaports: A comparison of fixed and random-effects regression models

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  • Odeck, James
  • Bråthen, Svein

Abstract

This paper presents a meta-analysis of variations in seaports’ Mean Technical Efficiency (MTE) scores based on 40 studies published in refereed academic journals. We link the variation in estimated MTE scores to differences in the following factors: the frontier methodology used, which essentially are the Data Envelopment Analysis (DEA) and the Stochastic Frontier Analysis (SFA); regions where seaports are situated; type of data used; number of observations; and the total number of variables used. Furthermore, we compare fixed-effects against a random-effects regression model where the latter assumes that the individual study specific characteristics matter while the former assumes that there is one general tendency across all studies. We present several findings based on the data: (1) the random-effects model outperforms the fixed effects model in explaining the variations in MTEs, (2) recently published studies have lower MTE scores as compared with earlier published studies, (3) studies that used nonparametric DEA models depict higher MTE scores as compared with those that used SFA models, (4) panel data studies have lower TE scores as compared with cross-sectional data, and (5) studies using European seaport data produce lower MTE scores when compared with the rest of the world. Finally, our results contradict some previous meta-analysis studies of TE scores. We encourage the use of random-effects models in meta-analysis studies because they account for individual study specific effects.

Suggested Citation

  • Odeck, James & Bråthen, Svein, 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: Policy and Practice, Elsevier, vol. 46(10), pages 1574-1585.
  • Handle: RePEc:eee:transa:v:46:y:2012:i:10:p:1574-1585
    DOI: 10.1016/j.tra.2012.08.006
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    2. Holden, R. & Xu, B. & Greening, P. & Piecyk, M. & Dadhich, P., 2016. "Towards a common measure of greenhouse gas related logistics activity using data envelopment analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 105-119.
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    7. Tsekouras, Kostas & Chatzistamoulou, Nikos & Kounetas, Kostas & Broadstock, David C., 2016. "Spillovers, path dependence and the productive performance of European transportation sectors in the presence of technology heterogeneity," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 261-274.
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    9. Yeo, Gi-Tae & Pak, Ji-Yeong & Yang, Zaili, 2013. "Analysis of dynamic effects on seaports adopting port security policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 285-301.
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    12. Francesco Aiello & Graziella Bonanno & Luigi Capristo, 2017. "Explaining Differences In Efficiency: The Case Of Local Government Literature," Working Papers 201704, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    13. repec:pal:marecl:v:20:y:2018:i:1:d:10.1057_mel.2016.15 is not listed on IDEAS
    14. Jianjun Tang & Henk Folmer & Arno J. Vlist & Jianhong Xue, 2014. "The impacts of management reform on irrigation water use efficiency in the Guanzhong plain, China," Papers in Regional Science, Wiley Blackwell, vol. 93(2), pages 455-475, June.
    15. Sarmento, Joaquim Miranda & Renneboog, Luc & Verga-Matos, Pedro, 2017. "Measuring highway efficiency : A DEA approach and the Malquist index," Other publications TiSEM 23264815-321e-45a3-83ee-9, Tilburg University, School of Economics and Management.
    16. Xin ZHAO & Yong PENG & Yuemei XUE & Shun YUAN, 2016. "Spatial Patterns of Ocean Economic Efficiency and their Influencing Factors in Chinese Coastal Regions," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 35-49, December.
    17. Güner, Samet, 2015. "Investigating infrastructure, superstructure, operating and financial efficiency in the management of Turkish seaports using data envelopment analysis," Transport Policy, Elsevier, vol. 40(C), pages 36-48.
    18. repec:psc:journl:v:9:y:2017:i:3:p:243-273 is not listed on IDEAS

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