Article

A meta-analysis of DEA and SFA studies of the technical efficiency of seaport

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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.

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Ketersediaan

Informasi Detail

Judul Seri

Transportation Research Part A

No. Panggil

ATC MG BRA a

Penerbit

Norway : Elsevier., 2015

Deskripsi Fisik

12 p .

Bahasa

English

ISBN/ISSN

-

Klasifikasi

MG

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

online resource

Edisi

-

Subjek

Meta-analysis
Random-effects model
Seaport efficiency

Info Detail Spesifik

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Pernyataan Tanggungjawab

Svein Bråthen

Versi lain/terkait

Lampiran Berkas

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