Content of Ageing Studies in our journal

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    Current Levels and Changing Patterns of Labor Force Participation among Older Adults at Age 60-69 in China
    Song Yueping, Zhang Guangying, Peng Keyu
    Population Research    2024, 48 (2): 75-89.  
    Abstract142)            Save
    The population ageing in China has become increasingly profound, and Actively Responding to Population Ageing has become a national strategy. While the older adults at age 60-69 (i.e., the young old adults) have great human resources to be utilized, their labor force participation levels have not been thoroughly examined. Based on data from the censuses and 1% population sampling surveys from 2000 to 2020, this study describes the demographic characteristics and labor force participation features of the young old adults in China from the perspectives of urban-rural areas, regions, gender, education and health status. The study reveals that the size of the young old adults in China is rapidly growing, with continuous improvements in education and health human capital. However, the efficiency of utilizing the human resources of the young old adults remains low. The young old workers in rural and remote areas primarily engage in agricultural activities, with a relatively single employment structure. Although the young old adults in urban and developed areas have more job opportunities, they mostly engage in low-end labor with low incomes and poor social insurance. The young old women have great potential in terms of human resources, but they face more employment obstacles at institutional, socio-cultural and personal cognitive levels.
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    Spatial Effects and Heterogeneous Impacts of Population Ageing on Technological Innovation: Evidence Based on the Panel Data of Prefecture-level Cities in China
    Shen Ke, Sun Huilin
    Population Research    2024, 48 (2): 90-103.  
    Abstract86)            Save
    Based on the panel data of China's prefecture-level cities in 2000, 2010, and 2020, this paper examines the spatial effects of population ageing on technological innovation and explores the heterogeneous impacts of ageing on technological innovation at different stages of social and economic development. The analytical results of the spatial Durbin model exhibit a robust inverted U-shaped relationship between population ageing and local technological innovation, as well as a U-shaped relationship between population ageing and neighbors' innovation. Furthermore, the threshold regression models indicate that, at the stage of low urbanization rate and insufficient supply of health services, population ageing imposes a significantly negative impact on technological innovation. With higher urbanization and a more adequate supply of health services, population ageing would stimulate innovation. Therefore, against the backdrop of the irreversible ageing process, promoting the urbanization process and improving the health care system will effectively attenuate the discouraging effects of ageing on innovation.
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    The Reciprocal Relationship between Physical Disability and Depressive Symptoms among Chinese Older Adults: An Empirical Study Based on CHARLS Data
    Ruan Yunchen, Lu Jiehua
    Population Research    2024, 48 (2): 104-117.  
    Abstract98)            Save
    Paying attention to the physical and mental health of Chinese older adults is of great significance for promoting the implementation of the National Strategy for Actively Responding to Population Ageing and the Healthy China strategy. By applying the fixed effect model and cross-lagged panel model to the data of the China Health and Retirement Longitudinal Study (CHARLS) 2013, 2015, and 2018, this paper analyzes the causal relationship between physical disability and depressive symptoms among Chinese older adults. The results show that there is a significant positive correlation between physical disability and depressive symptoms during the same period. After controlling for unobserved confounding factors, the deterioration and improvement of physical disability will significantly affect changes in depressive symptoms. Using the cross-lagged panel model, we found a bidirectional causal relationship between physical disability and depressive symptoms among older adults. By utilizing three physical disability measurement indices, namely the Nagi Index, IADL Index, and ADL Index, it was discovered that the bidirectional causal relationship between them remains significant. Therefore, it is necessary to enhance the prevention and rehabilitation of physical disability among Chinese older adults and to construct a comprehensive health service system for older adults that encompasses various aspects, including physical and mental health.
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