School of Administration and Law, Hunan Agricultural University, Changsha 410100, China.
School of Economics and Management, Zhejiang Ocean University, Zhoushan 316000, China.
Int J Environ Res Public Health. 2022 Mar 18;19(6):3619. doi: 10.3390/ijerph19063619.
In the context of both rapid technological development and increasing aging, the relationship between technological development and the health of the middle-aged and older population is gradually receiving academic attention. This study empirically examined the health consequences of the Internet for the middle-aged and older population in China using data from the 2018 China Health and Retirement Longitudinal Study. The results indicated that Internet use was effective in improving the self-assessed health and chronic disease status of the middle-aged and older population. However, the effect of Internet use on the improvement of chronic disease conditions in this population was more pronounced than self-assessed health. In the heterogeneity analysis, the effect of Internet use on the health of female and middle-aged adults was more significant than that of male and older adults aged >60 years. This paper also used a propensity score matching model to eliminate the endogeneity problem caused by sample selectivity bias. The results revealed that the propensity score matching model analysis was more robust. Moreover, if sample selectivity bias was not eliminated, the effect of Internet use on the improvement of self-assessed health in the middle-aged and older population would be underestimated, whereas the effect of Internet use on the chronic disease status of the middle-aged and older adults would be overestimated.
在快速技术发展和人口老龄化加剧的背景下,技术发展与中年和老年人口健康之间的关系逐渐受到学术界的关注。本研究使用 2018 年中国健康与退休纵向研究的数据,从实证角度考察了互联网对中国中年和老年人口健康的影响。结果表明,互联网的使用有效改善了中年和老年人口的自评健康和慢性病状况。然而,互联网的使用对改善中年和老年人口慢性病状况的影响比自评健康更为显著。在异质性分析中,互联网的使用对女性和中年成年人的健康影响比男性和 60 岁以上的老年人更为显著。本文还使用倾向得分匹配模型来消除样本选择性偏差引起的内生性问题。结果表明,倾向得分匹配模型分析更为稳健。此外,如果不消除样本选择性偏差,将会低估互联网使用对中年和老年人口自评健康的改善作用,而高估互联网使用对中年和老年成年人慢性病状况的改善作用。