Title :
Valuing Governmental Support in PPP Projects Using Monte Carlo Simulation: A Case of a Highway Project
Author :
Yihua, Mao ; Guohua, Yang ; Jia, He
Author_Institution :
Dept. of Civil Eng., Zhejiang Univ., Hangzhou, China
Abstract :
In PPP projects, the investment return level depends largely on the governmental support intensity. Thus, it is necessary to find a way to quantify the value of governmental support. This paper presents an approach that evaluates the governmental support quantitatively under different combinations of types and intensities with Monte Carlo simulation via calculating difference between the Internal Rate of Return (IRR) and the equity expected rates of return (Re). It also provides sensitivity analyses, along with calculation of the threshold of governmental support in specific expected return rates. Finally, a highway project is taken as an example to verify that the application of this approach is reasonable and effective.
Keywords :
Monte Carlo methods; government policies; investment; public finance; Monte Carlo simulation; PPP project; equity expected rates of return; governmental support intensity; highway project; internal rate of return; investment return; public-private-partnership; Government; Investments; Monte Carlo methods; Probability distribution; Road transportation; Sensitivity analysis; Vehicles; Monte Carlo; PPP projects; governmental support; investment decision;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8814-8
Electronic_ISBN :
978-0-7695-4270-6
DOI :
10.1109/ICCIS.2010.10