| Summary |
Kuo-Liang Liu, 2006.07
Feng Chia University - Graduate Institute of Traffic and Transportation Engineering and Management
The railway industries are now suffering a critic situation. In addition, due to the government’s policies which cannot adjust the ticket fares and operate the inefficient routes and stations, the railway industries are facing the huge deficits. Meanwhile, the Taiwan Railway Administration (TRA) is also facing the same situation. In order to compare the operation efficiency and effectiveness relative to the railway industries of other nations, this study uses the evaluation framework of Fielding to assess the productivity and marketing performances of TRA. This study considers the railway density, areas, and population density, and selects 21 railway industries from member countries of International Union of Railways (UIC). Then this study uses the statistics yearbooks from year 2000 to year 2003 as observation data.
The methodology of this study uses Data Envelopment Analysis (DEA) to evaluate the operation performances of the railway industries. We use DEA to construct evaluation model which includes the product-efficiency, the product-effectiveness, and the service-effectiveness three aspects. Then we will use input/output data of every railway industries from year 2000 to year 2003 to evaluate and analysis of DMU. Also we will use the CCR and BCC models to evaluate the relative efficiency of these three aspects. The results show that in the aspect of the product-efficiency, such as Austria, Demark, France, Portugal, Spain, Switzerland and Taiwan have excellent performances. In the aspect of product-effectiveness, such as Austria, Israel, Japan and South Korea have excellent performances. In the aspect of service-effectiveness, Moldova, Japan, and South Korea have excellent performances. The performance of TRA in three aspects, such as in the aspect of the product-efficiency has excellent performances, However in the aspect of product-effectiveness, the score is 0.73138, is ranking 14 out of 21 DMUs. In the aspect of service-effectiveness, the score is 0.49757, is ranking 11 out of 21 DMUs. From the results show that TRA need to improve its resource utilities and marketing. Furthermore, the study also performs scale analysis, slack analysis and sensitivity analysis the relative efficiency and improving strategies. Moreover, this study will use the Malmquist index analysis to analyze the intertemporal efficiency score and performance transformation all of DMUs. This study not only observes one of the railway industry with other DMU’s relative efficiency, but also compare the efficiency of all of DMUs from year 2000 to year 2003. Besides, this study will use the factor analysis of environmental influence to explore the relationship between double tracks and the product-efficiency, and the relationship between the Average gross national income per capita (GNI) and the product-effectiveness, and the relationship between the ownership rate of cars and the service-effectiveness. The results show that only the ownership rate of cars has significant influence on the service-effectiveness aspect. |
