Research on the Impact of Education Level for the Adults under 60 Years Old on the Elderly Care Mode and the Corresponding Industry Based on MLR Model

Fengjuan Liu, Weiwen Wang, Yan Zhou, Jiangguo Cai
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Abstract

With the development of artificial intelligence (Al) technology and the increasing of people’s demand for improving the quality of life of the elderly, the people’s preference for the elderly care modes and demands for elderly care services have changed. This paper analyses the impacts of different education level on the elderly care mode selection and the demands for elderly care services based on the questionnaire survey for the group of 59 years old and under. Then it is given the relevant suggestions such as positioning the development direction of comprehensive green ecology and big health industries, determining the development direction of upstream and downstream industries of the region according to the positioning of elderly care service industry of each region, and setting the development goals of long-term, mid-term and short-term aged care industry in line with the local regional development direction.
基于MLR模型的60岁以下成人受教育程度对养老模式及相应行业的影响研究
随着人工智能(ai)技术的发展和人们对提高老年人生活质量需求的增加,人们对养老模式的偏好和对养老服务的需求发生了变化。本文通过对59岁及以下人群的问卷调查,分析不同文化程度对养老模式选择和养老服务需求的影响。然后给出相关建议,如定位综合绿色生态和大健康产业的发展方向,根据各区域养老服务业的定位确定区域上下游产业的发展方向,并根据当地区域发展方向设定长期、中期和短期养老产业的发展目标等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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