Evaluation on the Sustainability of Urban Public Pension System in China
Qing Zhao () and
Haijie Mi ()
Additional contact information
Qing Zhao: Center for Social Security Studies, Wuhan University, Wuhan 430072, China
Haijie Mi: Chinese Academy of Labor and Social Security, Beijing 10029, China
Sustainability, 2019, vol. 11, issue 5, 1-20
Against the background of population aging and economic downturn, the sustainability of pension systems has aroused great concern for governments across the world. To better reflect the pressure of pension payments in the changing context, the paper aims to forecast the annual pension gap of the public pension system for urban employees in China. By the use of Cohort-component population projections and stochastic projection models, the distribution of flow-based annual pension gap in the next fifty years are estimated under basic assumptions. The results show that the pension gap continues to exist from 2017 and keeps expanding until 2070 without any policy reform. Sensitivity analyses of demographics and various combinations of policy parameters on the distribution of future pension gaps are displayed. Wider pension coverage with lower policy threshold is more likely to face larger long-term pension gap.
Keywords: pension sustainability; annual pension gap; public pension system for urban employees; stochastic modelling; sensitivity analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q2 Q3 Q5 Q56 O13 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:11:y:2019:i:5:p:1418-:d:211848
Access Statistics for this article
Sustainability is currently edited by Prof. Dr. Marc A. Rosen
More articles in Sustainability from MDPI, Open Access Journal
Bibliographic data for series maintained by XML Conversion Team ().