Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Analysis of the Post-Retirement Migration Intention of Rural Residents and Its Main Influencing Variables

Version 1 : Received: 21 August 2023 / Approved: 21 August 2023 / Online: 22 August 2023 (04:48:50 CEST)

A peer-reviewed article of this Preprint also exists.

Zhou, X.; Feng, W. Investigating the Impact of Demographic and Personal Variables on Post-Retirement Migration Intention of Rural Residents: Evidence from Inner Mongolia, China. Sustainability 2023, 15, 14050. Zhou, X.; Feng, W. Investigating the Impact of Demographic and Personal Variables on Post-Retirement Migration Intention of Rural Residents: Evidence from Inner Mongolia, China. Sustainability 2023, 15, 14050.

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. In this study, we focus on rural residents aged 45 to 60 and investigate the main variables that influence the post-retirement migration intention of rural residents, using survey data collected from 164 households in three different rural areas and the logistic regression model. From the result of this study, we found that gender, part-time employment, savings level, children's residence and occupation stability, and interest in urban living positively affect migration intention. In contrast, the number of rural companions, relationships with others in rural areas, and evaluation of rural living have a negative effect. In addition, we employ 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.

Keywords

rural residents; post-retirement migration intention; logistic regression model; influencing variables

Subject

Social Sciences, Area Studies

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