Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science

Scenario Analysis of Enterprise Annuity Supervision in China

Authors
Xuezhou Zhang, Kai Qiao, Peiwu Dong
Corresponding Author
Xuezhou Zhang
Available Online May 2014.
DOI
https://doi.org/10.2991/lemcs-14.2014.234How to use a DOI?
Keywords
enterprise annuity fund;supervision;scenario analysis; game theory;benefit distribution
Abstract
This paper studied the supervision of the enterprise annuity in China by the method of scenario analysis. Since supervision is closely related to the benefit distribution among the main participants of enterprise annuity, we present a game model to optimize the benefit distribution firstly. By calculating the model, we get the equilibrium solution of the game and find out the best probability of rent-seeking behavior. Then, we introduce a new method, scenario analysis to do the further research. Combining the game model and the method, we choose two factors, the penalty coefficient f1 and f2, as example to simulate scene. According to the scene simulated, we find that, as shown in Figure 1 and Figure 2, increasing the penalty coefficient f1 and f2 can ease the rent-seeking behavior. However, as the penalty coefficient f1 and f2 become larger, increasing them is no longer an effective way to prevent rent-seeking behavior.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2014)
Part of series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-6252-010-3
ISSN
1951-6851
DOI
https://doi.org/10.2991/lemcs-14.2014.234How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xuezhou Zhang
AU  - Kai Qiao
AU  - Peiwu Dong
PY  - 2014/05
DA  - 2014/05
TI  - Scenario Analysis of Enterprise Annuity Supervision in China
BT  - International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2014)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-14.2014.234
DO  - https://doi.org/10.2991/lemcs-14.2014.234
ID  - Zhang2014/05
ER  -