The self-liquidation ratio (SLR) or net present value (NPV) has been widely used to evaluate the financial effect of Build, Operation and Transfer (BOT) projects by some studies. However, they are good only for demonstrating the financial potential of an investment project, not able to show financial ability of the BOT projects invested by public or financial institutions or fail to display the financial investment resources allocation in financial project among private, financial institutions, and public sector. The purpose of this study is to formulate the mathematical programming and fuzzy programming models for analyzing the SLR and SLR-extension indexes respectively by using the mathematical programming approach. Meanwhile, The Taipei Port BOT project was conducted as the case study to measure SLR-extension and SLR, respectively and the result shows that the SLR-extension values computed by programming model and fuzzy programming models are higher than that of the SLR for Taipei Port BOT Projects. From which we learn that these models developed herein can demonstrate the increasing financial ability of BOT projects with government joint-venture investment, and these models can also be applied to illustrate the phenomenon of the allocation in financial resources for BOT projects.
|Translated title of the contribution||Analysis of Self-liquidation Ratio and Financial Resource Allocation for BOT Projects with Uncertain Finance Environment|
|Original language||Chinese (Traditional)|
|State||Published - 2007|
- BOT Project
- Mathematical Programming
- FinancialResource Allocation