2022
DOI: 10.1002/psp.2610
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The association between perceived residential environment, social interaction and subjective well‐being of China's elderly migrants

Abstract: With the rapid growth in both urbanization and the ageing of the population, elderly migrants have become a more prominent group in urban China. Previous studies have shown that elderly migrants are a vulnerable group in terms of subjective well‐being (SWB) and studies have emphasized the role of their socioeconomic status (SES) and family‐related attributes (FRA) on their SWB. However, there is less attention on whether the perceived residential environment (PRE) to which elderly migrants are exposed and thei… Show more

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Cited by 7 publications
(7 citation statements)
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“…This finding is noteworthy given the extensive research suggesting that a higher land use mix within residential areas generally leads to improved social engagement, outdoor activity opportunities, and better accessibility to essential services and facilities (Su et al, 2016). These factors have been associated with higher life satisfaction and daily happiness (Barton et al, 2020; Song et al, 2022). However, these potential benefits may be offset by some undesirable outcomes related to the land use mix, such as increased noise and air pollution resulting from overconcentration (Frank et al, 2006).…”
Section: Resultsmentioning
confidence: 99%
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“…This finding is noteworthy given the extensive research suggesting that a higher land use mix within residential areas generally leads to improved social engagement, outdoor activity opportunities, and better accessibility to essential services and facilities (Su et al, 2016). These factors have been associated with higher life satisfaction and daily happiness (Barton et al, 2020; Song et al, 2022). However, these potential benefits may be offset by some undesirable outcomes related to the land use mix, such as increased noise and air pollution resulting from overconcentration (Frank et al, 2006).…”
Section: Resultsmentioning
confidence: 99%
“…We included a set of individual characteristics as controlled variables (Ng et al, 2021; Schwanen & Wang, 2014; Song et al, 2022; Yang et al, 2023), such as age, gender, educational status (below junior high school, high school and junior college, bachelor's degree or above), average personal annual income, and frequency of changing work. Table 1 provides summary statistics for all variables.…”
Section: Methodsmentioning
confidence: 99%
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