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Analyzing the Influence Factors on Efficiency of Railway Transport using DEA and Tobit Model  

Lee, Yoon-Mi (과학기술연합대학원대학교, 한국철도기술연구원 철도교통물류연구실)
Yoo, Jae-Kyun (한국철도기술연구원 철도교통물류연구실)
Publication Information
Journal of the Korean Society for Railway / v.12, no.6, 2009 , pp. 1030-1036 More about this Journal
Abstract
In 1990's, in Europe and some advanced nations, the structural reform of the railroad industry for improving the productive efficiency of the railroad industry and competitive power had been progressed. This paper empirically explores the relationship between railway restructuring and productive efficiency in the railway industry. We use Data Envelopment Analysis (DEA) to construct efficiency scores, and explain these scores, using Tobit regression analysis by using variables reflecting institutional factors and organizational type. Our results suggest that vertical separation, infrastructure and services are separated, and horizontal separation, passenger service and freight service are separated, improve productive efficiency. We also find that market competition has positive effect on the efficiency, but independent management from the government has negative effect, which is in line with economic intuition as well as with expectations on the railway restructuring. As a consequence, increased independence without sufficient competition and adequate regulation may deteriorate incentives for productive efficiency.
Keywords
Railway Efficiency; Railway Competition; DEA (Data Envelopment Analysis); Tobit regression;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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