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Efficiency in rail transport: Evaluation of the main drivers through meta-analysis with resampling

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  • Marchetti, Dalmo
  • Wanke, Peter F.

Abstract

Meta-analysis is a statistical method used to make a systematic review of the literature to integrate the results of a series of studies. It is increasingly adopted in social sciences but according to our best knowledge used for the first time to aggregate and contrast findings on rail transport efficiency. The experiment adopted a permutation test to evaluate the influence of variables discussed in the literature in the mean efficiency scores. The results suggest that railways located in Japan and in the US have characteristics that push them toward increasing efficiency. The passenger rail systems reached significantly higher estimates than conventional cargo systems. Estimates from parametric and nonparametric models showed significant difference, while from nonparametric models including Data Envelopment Analysis (DEA) and from Network DEA did not. The number of variables and the ratio between the number of decision making units and the number of variables employed significantly influenced the scores. Unexpectedly, different data structures did not. Validation methods are presented. Public policies based on the empirical results are commented.

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  • Marchetti, Dalmo & Wanke, Peter F., 2019. "Efficiency in rail transport: Evaluation of the main drivers through meta-analysis with resampling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 83-100.
  • Handle: RePEc:eee:transa:v:120:y:2019:i:c:p:83-100
    DOI: 10.1016/j.tra.2018.12.005
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    Cited by:

    1. Francisco Gildemir Ferreira da Silva & Renata Lúcia Magalhães de Oliveira & Marin Marinov, 2020. "An Analysis of the Effects on Rail Operational Efficiency Due to a Merger between Brazilian Rail Companies: The Case of RUMO-ALL," Sustainability, MDPI, Open Access Journal, vol. 12(12), pages 1-21, June.
    2. Daraio, Cinzia & Kerstens, Kristiaan & Nepomuceno, Thyago & Sickles, Robin C., 2019. "Empirical Surveys of Frontier Applications: A Meta-Review," Working Papers 19-005, Rice University, Department of Economics.
    3. Weidong Li & Olli-Pekka Hilmola, 2019. "Belt and Road Initiative and Railway Sector Efficiency—Application of Networked Benchmarking Analysis," Sustainability, MDPI, Open Access Journal, vol. 11(7), pages 1-21, April.

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