统计研究2024,Vol.41Issue(12) :123-135.DOI:10.19343/j.cnki.11-1302/c.2024.12.010

我国城镇职工退休行为的合理性评价研究——基于健康异质性的视角

Evaluation of Chinese Urban Employees'Retirement Behavior Rationality:From the Perspective of Health Heterogeneity

张琳琳 张乐平 张力
统计研究2024,Vol.41Issue(12) :123-135.DOI:10.19343/j.cnki.11-1302/c.2024.12.010

我国城镇职工退休行为的合理性评价研究——基于健康异质性的视角

Evaluation of Chinese Urban Employees'Retirement Behavior Rationality:From the Perspective of Health Heterogeneity

张琳琳 1张乐平 2张力1
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作者信息

  • 1. 复旦大学社会发展与公共政策学院
  • 2. 复旦大学经济学院
  • 折叠

摘要

老龄化加剧、法定退休年龄与实际平均退休年龄过低等因素都会加重劳动力供给和财政支付的负担.为此,本文在深入考察对退休行为起决定性作用的健康异质性问题的基础上,建立了识别居民退休行为是否合理的评价方程,并对我国城镇职工退休选择行为的合理性进行评判.结果发现,42.89%的城镇职工采取非合理性退休行为,其中高达27.97%的职工属于"健康早退"人群.若政府采取有效措施使得"健康早退"人群不提前退休,则会缓解因人口老龄化导致的劳动力供给紧张和财政支付压力.本文为退休行为的合理性评价、"健康早退"现象的识别和判断提供了简单可行的量化方法,且据此给出的人口老龄化应对方案兼具及时性和实用性.

Abstract

Factors such as the aging population,the low legal retirement age and actual average retirement age will increase the burden on labor supply and fiscal payment.Based on the examination of the health heterogeneity that plays a decisive role in retirement behavior,this paper establishes an evaluation equation to identify whether the individual's retirement behavior is reasonable,thereby evaluating the rationality of the retirement behavior of urban employees in China.The main conclusions are as follows:42.89% of urban employees retire irrationally,and 27.97% of them choose early retirement in good health.If the government takes effective measures to prevent the early-retired population from retiring early,the labor supply tension and financial payment pressure caused by population aging will be alleviated.This paper provides a simple and feasible quantitative method for evaluating the rationality of retirement behavior,identifying and judging early retirement in good health,and based on this,proposes a timely and practical way to deal with population aging.

关键词

退休行为/合理性评价/健康异质性/健康早退/人口老龄化

Key words

Retirement Behavior/Evaluation of Rationality/Health Heterogeneity/Early Retirement in Good Health/Population Aging

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出版年

2024
统计研究
中国统计学会,国家统计局统计科学研究所

统计研究

CSTPCDCSSCICHSSCD北大核心
影响因子:2.019
ISSN:1002-4565
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