江西财经大学学报 ›› 2022, Vol. 0 ›› Issue (2): 49-58.

• 保险与保障 • 上一篇    下一篇

中国长期护理需求测算与财政保障

文太林1,2   

  1. 1.首都经济贸易大学 金融学院,北京 100070;
    2.河北工业大学 人文与法律学院,天津 300410
  • 收稿日期:2021-09-03 出版日期:2022-03-25 发布日期:2022-05-25
  • 作者简介:文太林,首都经济贸易大学博士研究生,河北工业大学副教授,主要从事保险与社会保障研究,联系方式tailinwen@126.com。
  • 基金资助:
    教育部人文社会科学研究青年基金项目“中国长期照护财政责任研究”(18YJC840042)

Long-Term Care Demand Projection and Financial Guarantee in China

WEN Tai-lin1,2   

  1. 1. Capital University of Economics and Business, Beijing 100070;
    2. Hebei University of Technology, Tianjin 300401, China
  • Received:2021-09-03 Online:2022-03-25 Published:2022-05-25

摘要: 伴随人口老龄化问题的加深,长期护理需求日益增加。对长期护理需求的测算是制定长期护理保障政策的前提和基础。基于CHARLS(2018)年数据,采用宏观模拟方法研究老年人的健康状态,可预测2020年至2035年中国长期护理需求的变化趋势。研究表明:到2035年,我国失能老人将增加到4334万人,长期护理服务成本将增至21846亿元,占GDP的1.07%,占财政收入的5.93%。基于ILO筹资模型模拟长期护理保障显示:长期护理保险模式可以在个人、企业和政府间分担责任,实现长期护理保障保基本、全覆盖和可持续的目标。长期护理救助模式下财政负担轻、保障覆盖面小,但可发挥其在多层次的长期护理保障制度中兜底的作用。

关键词: 失能老人, 长期护理需求, 长期护理筹资, 财政责任

Abstract: With the aging of the population, the need for long-term care has been on the rise. The assessment and prediction of long-term care demand is the premise and basis for making long-term care policies. Based on the data of CHARLS(2018), this paper adopts the macro simulation method to study the health status of the elderly and predict the changing trend of China’s long-term care demand from 2020 to 2035. The findings show that the number of disabled elderly people will increase to 43.34 million by 2035, the cost of long-term care services will increase to 2,144.6 billion yuan, accounting for 1.07% of GDP and 5.93% of the fiscal revenue. The simulation of long-term care security based on the ILO financing model shows that the long-term care insurance model can share the responsibilities among individuals, enterprises and governments, so as to achieve the goal of ensuring the basics, full coverage and sustainability of the long-term care security. Under the long-term care assistance mode, the financial burden is lighter and the protection coverage is smaller, but it can play a role in helping those most in need with the multi-level long-term care security system.

Key words: disabled elderly, long-term care demand, long-term care financing, fiscal responsibility

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