The Intrinsic Relationship between per Capita Disposable Income and the Participation Rate in Urban-Rural Residents' Basic Pension Insurance: Exploration and Insights

Yitong Fu

GBP Proceedings Series, 2025, vol. 5, 77-94

Abstract: Against the backdrop of an increasingly aging population, China has implemented the Urban-Rural Residents' Basic Pension Insurance system to alleviate the economic pressures faced by the elderly. This study aims to investigate the impact of per capita disposable income on the participation rate in this pension insurance program. By constructing a linear logarithmic polynomial model and conducting an empirical analysis using panel data from 31 provinces, municipalities, and autonomous regions in China from 2017 to 2022, the study reveals a significant negative correlation between per capita disposable income and the participation rate in the Urban-Rural Residents' Basic Pension Insurance. This suggests that individuals with higher disposable income may opt for alternative pension schemes, such as commercial insurance, thereby lowering their participation in the basic system. The findings provide a reference for policymakers, suggesting further optimization of fiscal subsidies and tax incentive policies to enhance pension insurance coverage among low-income groups and promote the balanced development of the social security system.

Keywords: per capita disposable income; Urban-Rural Residents' Basic Pension Insurance participation; time-fixed effects; linear logarithmic polynomial model (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://soapubs.com/index.php/GBPPS/article/view/439/435 (application/pdf)

Related works:
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:axf:gbppsa:v:5:y:2025:i::p:77-94

Access Statistics for this article

More articles in GBP Proceedings Series from Scientific Open Access Publishing
Bibliographic data for series maintained by Yuchi Liu ().