EconPapers    
Economics at your fingertips  
 

Population Growth Rate, Life Expectancy and Pension Program Improvement in China

Zaigui Yang

MPRA Paper from University Library of Munich, Germany

Abstract: Applying an overlapping-generations model with lifetime uncertainty, we examine in this paper China’s partially funded public pension system. The findings show that the individual contribution rate does not affect the capital-labor ratio but the firm contribution rate does. The optimal firm contribution rate depends on the capital share of income, social discount factor, survival probability, and population growth rate. The simulation results indicate that the optimal firm contribution rate rises with China’s life expectancy but, surprisingly, falls with the population growth rate. We demonstrate that the optimal firm contribution rate should be cut when the effect of falling population growth rate is greater than that of rising life expectancy and that the rate is much more sensitive to the population growth rate than to life expectancy. This paper also solves the optimal interval to cope with China’s population aging peak in the 2030s.

Keywords: Public Pension; Population Growth Rate; Life Expectancy (search for similar items in EconPapers)
JEL-codes: H55 (search for similar items in EconPapers)
Date: 2008-03
References: View references in EconPapers View complete reference list from CitEc
Citations:

Published in Asia-Pacific Journal of Risk and Insurance 2.2(2008): pp. 19-30

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/18789/1/MPRA_paper_18789.pdf original version (application/pdf)

Related works:
Journal Article: Population Growth Rate, Life Expectancy and Pension Program Improvement in China (2008) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:18789

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

 
Page updated 2025-03-19
Handle: RePEc:pra:mprapa:18789