| 引用本文：周依群.城镇居民长期护理保险需求影响因素研究[J].中国卫生政策研究,2018,11(4):12-18 |
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| 城镇居民长期护理保险需求影响因素研究 |
| 投稿时间：2017-07-08 修订日期：2017-11-08 PDF全文浏览 HTML全文浏览 |
| 周依群 |
| 对外经济贸易大学保险学院 北京 100029 |
| 摘要:我国已经进入老龄化社会，老年人口数量不断增加，针对老年人的长期护理保险日趋重要，分析其需求影响因素对我国开展长期护理保险有重要的理论意义和现实意义。本文采用灰色关联模型和广义灰色关联模型，运用2005-2015年全国范围内的数据，将对影响长期护理保险需求的主要因素分为经济因素与非经济因素，通过灰色关联分析发现：经济因素中社会保险支出对长期护理保险的影响更为重要，非经济因素中人均受教育水平和老年人口抚养比对长期护理保险的影响更为重要。根据实证结果，结合我国国情和实际情况，为长期护理保险更好地发展提供一种新的研究方法和思路。 |
| 关键词:长期护理保险 需求 灰色关联分析 |
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| Influencing factors of demand for long-term care insurance of urban residents in China |
| ZHOU Yi-qun |
| School of Insurance and Economics, University of International Business and Economics, Beijing 100029, China |
| Abstract:The Chinese society is becoming predominantly an aging society, as the number of elderly people increase very quickly. The long-term care insurance for the elderly is becoming more and more important. Therefore, analyzing the factors affecting the demand of long-term care insurance has important theoretical and practical significance for the Chinese society. This paper uses the grey correlation model and the generalized grey relational model method, using 2005-2015 nationwide data, and divides the main factors influencing the demand of long-term care insurance into economic and non-economic factors. The main influencing factors on demand for long-term care insurance were analyzed by the grey relational analysis which shows that the impact of social insurance expenditure on long-term care insurance is the most important economic factor. The per capita education level of non-economic factors and the elderly dependency ratio were rated to be the most important non-economic factors. According to the empirical results, combined with China's national conditions and actual situation, it provides a new research method and ideas for the long-term development of the nursing insurance. |
| Key words:Long-term care insurance Demand Grey relational analysis |
| 摘要点击次数: 2017 全文下载次数: 1238 |
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