Demographic burden and average insurance retirement benefit: Scenario approach

Author:

Kostyrin Evgeniy,Suo Si,Drynkin Stepan

Abstract

This research examines the main types of retirement systems for citizens of the Russian Federation. The forecasting of population size and dependency ratio was carried out using the Verhulst equation as a tool for demographic projection. A comparative analysis of the obtained forecasts with the official data of the United Nations (UN) was carried out. It is assessed that the demographic forecast based on the Verhulst equation is accompanied by a more moderate decrease in the dependency ratio compared to the UN forecasts. Therefore, a scenario analysis of the impact of a negative demographic forecast based on UN data and a positive one according to the results obtained by the Verhulst equation on the size of the average insurance retirement is proposed. It is concluded that under the negative scenario of the demographic situation the size of the insurance retirement benefit increases by 11 .69%, while under a positive scenario it increases by 58.54%, which exceeds the growth rate of retirement provision for citizens of the Russian Federation by more than 5 times compared to the negative scenario of the demographic situation in the country.

Publisher

EDP Sciences

Reference17 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3