Population Ageing and the Impact of Later Retirement on the Pension System in China: An Applied Dynamic General Equilibrium Analysis

作者
Xuejin Zuo,Xiujian Peng,Yang Xin,Philip Adams,Meifeng Wang
出处
期刊:RePEc: Research Papers in Economics - RePEc [Federal Reserve Bank of St. Louis]
摘要

China's population is rapidly ageing because of the sustained low fertility and increasing life expectancy. At the end of 2019, the elderly 65 and older accounted for 12.6 percent of the total population, compared to around seven percent in 2000. It will continue to increase to 31 percent in 2050. Rapid ageing imposes a big challenge to sustainable growth. The Chinese government is considering increasing the retirement age as a remedy to the challenge of population ageing. Using a dynamic general equilibrium model of the Chinese economy, this paper explores the implications of raising the retirement age on economic growth and pension sustainability in China over the period of 2020 to 2100. In the baseline scenario, we assume that China maintains its current retirement age. The simulation results reveal that growth in the labour force would turn negative because of population ageing. Thus China has to rely on technology improvement and capital stock increases to support its economic growth. Without reforming the current pension system, China's pension account will accumulate huge debts. The debt plus the interest obligation will put high pressure on the general government budget. By the end of this century, the general government budget deficit will reach to 22 percent of GDP. In the policy scenario, we assume that China will gradually increase the retirement age from 58 to 65 years old starting from 2020. The simulation results show that increasing the retirement age is a powerful policy in the short to medium term. It will boost China's economic growth and reduce the pension fund deficit significantly because it will not only increase the labour force but also reduce the number of pensioners by delaying them access to the pension fund. However, the effectiveness of the policy depends on how much the labour force participation rate for people aged 58 to 65 can be increased.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
主动发疯发布了新的文献求助10
1秒前
1秒前
1秒前
NexusExplorer应助快乐的大脚采纳,获得20
1秒前
2秒前
思源应助七七七采纳,获得10
2秒前
标致映秋完成签到,获得积分10
2秒前
2秒前
Robin发布了新的文献求助10
2秒前
2秒前
Cjl10610发布了新的文献求助10
3秒前
Tsuki发布了新的文献求助10
3秒前
我是老大应助67号采纳,获得30
4秒前
RIPK1完成签到,获得积分10
4秒前
4秒前
嗷嗷虎zzz发布了新的文献求助10
4秒前
5秒前
ligen发布了新的文献求助10
5秒前
yishan101完成签到,获得积分10
5秒前
GUO完成签到,获得积分10
5秒前
maowei发布了新的文献求助10
6秒前
王艺欣发布了新的文献求助10
6秒前
6秒前
xiaotan完成签到,获得积分10
6秒前
gyq发布了新的文献求助10
6秒前
victoria发布了新的文献求助10
7秒前
还好发布了新的文献求助10
7秒前
李麟发布了新的文献求助10
8秒前
Mint发布了新的文献求助10
8秒前
8秒前
田様应助Zilaap采纳,获得10
8秒前
优雅盼海完成签到,获得积分10
9秒前
我是125发布了新的文献求助10
9秒前
雨过天晴发布了新的文献求助10
10秒前
沉默小玉完成签到,获得积分10
11秒前
大力的图图应助黄三金采纳,获得20
11秒前
打打应助欣慰的盼芙采纳,获得10
12秒前
12秒前
Lucas应助无限夏之采纳,获得10
12秒前
飘逸的翠丝关注了科研通微信公众号
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Römisch-Germanische Forschungen 1000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7608472
求助须知:如何正确求助?哪些是违规求助? 9184220
关于积分的说明 19672730
捐赠科研通 7182514
什么是DOI,文献DOI怎么找? 3270025
关于科研通互助平台的介绍 2433746
邀请新用户注册赠送积分活动 2264447