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Railway reforms: do they influence operating efficiency?   总被引:1,自引:0,他引:1  
This paper considers railway operations in 23 European countries during 1995–2001, where a series of reform initiatives were launched by the European Commission, and analyses whether these reform initiatives improved the efficiency of the railway systems. Efficiency is measured using Multi-directional Efficiency Analysis, which enables investigation of how railway reforms affect the inefficiencies of specific cost drivers. The main findings are that the reform initiatives generally improve technical efficiency but potentially differently for different cost drivers. Specifically, the paper provides empirical evidence that accounting separation is important for improving the efficiency in the use of both material and staff costs, whereas other reforms only influenced one of these factors.
Dorte KronborgEmail:

Mette Asmild   is Associate Professor in Operational Research at Warwick Business School (UK). Her main research interests are theoretical developments and practical applications of efficiency and productivity analysis techniques, particularly Data Envelopment Analysis. Torben Holvad   is Economic Adviser at the European Railway Agency (France), senior research associate at the Transport Studies Unit (University of Oxford) and external associate professor at the Department of Transport (Danish Technical University). He obtained Economics degrees from Copenhagen University (MSc) and the European University Institute in Florence (PhD). Jens Leth Hougaard   is Professor in Applied Microeconomics at Department of Food and Resource Economics, University of Copenhagen. His main research interests are related to applied microeconomics and include Efficiency Analysis and Benchmarking. Currently, he is working with cost sharing methods and allocation in networks. Dorte Kronborg   is MSc in mathematical statistics from the University of Aarhus and Associate Professor at Center for Statistics, Department of Finance, Copenhagen Business School. Her primary research interests are applications and development of mathematical statistical methods within business economics.  相似文献   
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Despite the hundreds of billions of dollars being spent on infrastructure development -- from roads, rail and airports to energy extraction and power networks to the Internet -- surprisingly little reliable knowledge exists about the performance of these investments in terms of actual costs, benefits and risks. This paper presents results from the first statistically significant study of cost performance in transport infrastructure projects. The sample used is the largest of its kind, covering 258 projects in 20 nations worth approximately US$90 billion (constant 1995 prices). The paper shows with overwhelming statistical significance that in terms of costs transport infrastructure projects do not perform as promised. The conclusion is tested for different project types, different geographical regions and different historical periods. Substantial cost escalation is the rule rather than the exception. For rail, average cost escalation is 45% (SD=38), for fixed links (tunnels and bridges) it is 34% (62) and for roads 20% (30). Cost escalation appears a global phenomenon, existing across 20 nations on five continents. Cost estimates have not improved and cost escalation not decreased over the past 70 years. Cost estimates used in decision-making for transport infrastructure development are highly, systematically and significantly misleading. Large cost escalations combined with large standard deviations translate into large financial risks. However, such risks are typically ignored or underplayed in decision-making, to the detriment of social and economic welfare.  相似文献   
3.
Strand  Jon  Vågnes  Mette 《Transportation》2001,28(2):137-156
We study the relationship between the price of residential property value and proximity to railroads in Oslo, by two different methods, namely a) through a hedonic price study where the statistical relationship between property prices and railroad proximity is estimated, and b) through a multi-attribute utility investigation of real estate agents' evaluation of such a relationship. We find in both cases that there are strong effects of proximity to railroad lines on property prices, at distances less than 100 meters from the lines. In the statistical study log-linear relationships fit the data best, and our estimates indicate that a doubling of the distance from the railroad line, within a 100 meter bound, increases the property price by about 10%. With real estate agents only a linear relationship is probed. This yields an increase in the price of an average relevant housing unit by about 182,000 NOK, due to a increase in the distance to a railroad track from 20 to 100 meters. The equivalent figure from the statistical study is in the range 120–150,000 NOK. The two figures are thus of the same magnitude.  相似文献   
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