Affiliation:
1. Institute of Transportation, Inner Mongolia University, Huhhot 010070, China
2. Department of Management of Social Systems and Civil Engineering, Tottori University, Tottori 6808550, Japan
Abstract
With the intensification of population aging in rural areas, it becomes increasingly important to analyze the post-retirement migration intention of rural residents and the variables influencing these intentions. However, there is a lack of research on this point. In this study, we focused on rural residents aged 45 to 60 and used the logistic regression model to investigate the demographic and personal variables influencing their post-retirement migration intention. The data used in this study were collected from one hundred sixty-four households in three rural areas of Inner Mongolia in 2011. From the results of this study, we found that gender, part-time employment, savings level, children’s residence and occupational stability, and interest in urban living positively affect migration intention. In contrast, the number of rural close friends, relationships with others in rural areas, and evaluation of rural living all have negative effects. In addition, we employed age and the proportion of mobile income as control variables to examine the variables that influence the post-retirement migration intention in different age groups and mobile income groups. The analysis reveals that the variables influencing post-retirement migration intention varied across age groups and mobile income groups, and this variation can be attributed to the differences between groups’ characteristics.
Funder
Institute of Transportation, Inner Mongolia University
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction
Reference78 articles.
1. Wang, Z., Xu, N., Wei, W., and Zhao, N. (2020). Social Inequality among Elderly Individuals Caused by Climate Change: Evidence from the Migratory Elderly of Mainland China. J. Environ. Manag., 272.
2. Zhou, Y., Wang, H., and Qiu, H. (2023). Population Aging Reduces Carbon Emissions: Evidence from China’s Latest Three Censuses. Appl. Energy, 351.
3. Wang, Z., Wei, L., Zhang, X., and Qi, G. (2023). Impact of Demographic Age Structure on Energy Consumption Structure: Evidence from Population Aging in Mainland China. Energy, 273.
4. Statistics NBO (2023, September 09). The Seventh National Population Census Bulletin, Available online: https://www.stats.gov.cn/xxgk/sjfb/zxfb2020/202105/t20210511_1817196.html.
5. Accelerated Restructuring in Rural China Fueled by “Increasing vs. Decreasing Balance” Land-Use Policy for Dealing with Hollowed Villages;Long;Land Use Policy,2012
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献