英文摘要 |
Due to the characteristics of safety, high speed and capability of transporting high volume of passengers, high-speed railway has shortened the length of physical geography and played as a role of connectors between cities. It now has become the preference of governments around the world to design its transportation network. However, the cost of constructing a high-speed railway is very expense, how to turn into a benchmarking company is a very critical issue for every manager of high-speed-rail companies. This paper first applies the traditional data envelopment analysis (DEA) model, then emploies the three-stage DEA models to assess the performance of major high-speed-rail companies in the world. The effects of environmental factors to the performance of high-speed-rail companies are examined as well. Results from empirical analyses show that even the three-year average technical efficiency and pure technical efficiency of the Taiwan High Speed Rail Corporation (THSR) fall behind Netherlands and Japan, it is still better than South Korea, Germany, France and other countries. In addition, it is discovered that when environmental factors are excluded from the DEA model, the resulting performance scores are significantly better than the situation when they are included in the model. This indicates the environment variables we suggest in this paper have a significant impact on the operating efficiency of a high-speed-rail company. |