Proceedings of the 2018 3rd International Conference on Education, E-learning and Management Technology (EEMT 2018)

Rural Infrastructure PPP Project Risks Analysis Based on Monte Carlo Method

Authors
Xi Zhu
Corresponding Author
Xi Zhu
Available Online December 2018.
DOI
10.2991/iceemt-18.2018.26How to use a DOI?
Keywords
PPP project; rural infrastructure; Monte Carlo method; risk analysis
Abstract

The diversity, complexity, and particularity of PPP projects put forward higher requirements for financial evaluation. To make more accurate financial evaluation, this paper uses Monte Carlo simulation method to establish the risk evaluation model of rural infrastructure PPP project, based on the internal rate of return and net present value of the project. The results show that the Monte Carlo simulation method can effectively assess the investment risk of rural infrastructure PPP projects and help investors make correct investment decisions.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 3rd International Conference on Education, E-learning and Management Technology (EEMT 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
December 2018
ISBN
10.2991/iceemt-18.2018.26
ISSN
2352-5398
DOI
10.2991/iceemt-18.2018.26How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xi Zhu
PY  - 2018/12
DA  - 2018/12
TI  - Rural Infrastructure PPP Project Risks Analysis Based on Monte Carlo Method
BT  - Proceedings of the 2018 3rd International Conference on Education, E-learning and Management Technology (EEMT 2018)
PB  - Atlantis Press
SP  - 135
EP  - 139
SN  - 2352-5398
UR  - https://doi.org/10.2991/iceemt-18.2018.26
DO  - 10.2991/iceemt-18.2018.26
ID  - Zhu2018/12
ER  -