Abstract
In this article, we would like to verify a positive or negative policy impact that comes from decreasing or increasing people’s distrust in Japanese public pension system. For the sake of tackling these issues, firstly, we pick up some network models that fit well in real people’s network. Secondly, we put the information, which is concerning about Japanese public pension system, on agent-to-agent network. Finally, we ascertain the effect of releasing the information and its expansion on Japanese public pension system. Consequently, it is revealed that releasing information over again have a profound effect on reducing distrust in public pension system and on pension premium fund. With releasing information to a limited extent and to a limited number of agents, there is limited effect on reducing agent’s distrust.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
In our model, we define one simulation step as 1 month.
- 2.
See [8], p. 509.
- 3.
Refer to [9] about TRM.
- 4.
In general, the number of agents in many other models is fixed or not decreased.
- 5.
In this article, we define agent’s attitude score as the degree of trust in public pension system. If an agent’s attitude score is negative, we identify the agent has distrust in public pension system. If it is positive, we identify the agent does not have distrust in public pension system.
- 6.
For example, in 2009, the amount of pension benefit received each people aged over 65 in each month is defined as follows: 792,000 yen (full benefit amount) ×{(premium paid period) + (period of half exemption from premium) \(\times 2/3+\) (period of total exemption from premium) \(\times 1/3\}/40\) (the maximum participation year) ×12.
- 7.
For more detail on Japanese public pension system, see [10]. As described before, in our model, we defined one step as 1 month. So, agents get older every 12 steps. And they have life duration based on abridged life table. In Japan, the abridged life table is released at fixed intervals by Ministry of Health, Labour and Welfare. In addition, we set the start year of simulation at 2004.
References
Murakami M, Tanida N How will the difference in people’s network structure have impact on Japanese public pension system? In: 15th International conference on computing in economics and finance. http://editorialexpress.com/conference/CEF2009/program/CEF2009.html
Latané B, Morio H (2000) Maintaining diversity: simulating the role of nonlinearity and discreteness in dynamic social impact. In: Suleiman R, Troitzsch KG, Gilbert N (eds) Tools and technique for social science simulation, pp 196–217. Physica-Verlag, Heidelberg
Latané B (1981) The psychology of social impact. Am Psychol 36:343–365
Asch SE (1951) Effect of group pressure upon the modification and distortion of judgment. In: Guetzknow H (eds) Groups, leadership and men, pp 1–43. Carnegie, Pittsburgh
Abelson RP (1964) Mathematical models of the distribution of attitudes under controversy. In: Frederiksen N, Gulliksen H (eds) Contributions to mathematical psychology, pp 147–160. Holt, Rinehart & Winston, New York
Morio H (2003) Multi-agent DSIT simulation: reexamination of robustness of prediction. Simulation & Gaming 13(2):159–168 (in Japanese)
Latané B, Nowak A (1997) Self-organizing social systems: necessary and sufficient conditions for the emergence of consolidation, clustering, and continuing diversity. In: Barnett G, Boster F (eds) Progress in communication science persuasion, vol 13, pp 43–74. Ablex, Norwood, NJ
Barabasi A-L, Albert R (1999) Emergence of scaling random network. Science 286:509–512
Konno N, Machida T (2008) How-nual Visual Guide Book Yokuwakaru Fukuzatsu Network. Shuwa System Co., Ltd (in Japanese)
Social Insurance Agency. http://www.sia.go.jp/e/np.html
Acknowledgement
We appreciate KOZO KEIKAKU ENGINEERING Inc. for providing Multi Agent Simulator (named “artisoc 1.0”). First author is partially supported by Grant-in-Aid for Young Scientists (B), MEXT (No. 21730179).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer
About this paper
Cite this paper
Murakami, M., Tanida, N. (2011). The Flow of Information Through People’s Network and Its Effect on Japanese Public Pension System. In: Chen, SH., Terano, T., Yamamoto, R. (eds) Agent-Based Approaches in Economic and Social Complex Systems VI. Agent-Based Social Systems, vol 8. Springer, Tokyo. https://doi.org/10.1007/978-4-431-53907-0_8
Download citation
DOI: https://doi.org/10.1007/978-4-431-53907-0_8
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-53906-3
Online ISBN: 978-4-431-53907-0
eBook Packages: Humanities, Social Sciences and LawSocial Sciences (R0)