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Measuring Firms’ Input Congestion with Consideration of Environmental Factors: The Case of European Railway Transport

Author

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  • Erwin Lin

    (Department of Marketing and Logistics, MingDao University, Peetou Township, Changhua County, Taiwan)

Abstract

In practice, input congestion effects appear in railway transport due to the difficulties of disposing of unnecessary input factors. This study measures the output-oriented technical efficiency and input congestion with consideration of categorical variables for railway transport by using the DEA extension approach. The empirical results from 24 European railway companies show that in 12 railways, the presence of weak congestion can be proved. Based on the results of identifying the source(s) of input congestion and further determining its amount, one can obtain more insights into railways’ operation and thus propose more effective strategies for improvement.

Suggested Citation

  • Erwin Lin, 2016. "Measuring Firms’ Input Congestion with Consideration of Environmental Factors: The Case of European Railway Transport," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 66(1), pages 153-171, March.
    • Handle: RePEc:aka:aoecon:v:66:y:2016:i:1:p:153-171
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    More about this item

    Keywords

    Data Envelopment Analysis; input congestion; weak congestion; rail transport; categorical variables;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance

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