IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i20p13081-d939489.html
   My bibliography  Save this article

Long-Term Residential Environment Exposure and Subjective Wellbeing in Later Life in Guangzhou, China: Moderated by Residential Mobility History

Author

Listed:
  • Lingling Su

    (Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation, Center on Yellow River Civilization, Henan University, Kaifeng 475001, China)

  • Suhong Zhou

    (School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
    Guangdong Provincial Engineering Research Center for Public Security and Disaster, Guangzhou 510275, China)

Abstract

With rapid global urbanization, the importance of understanding relationships between the changing environment and wellbeing is being increasingly recognized. However, there is still a lack of understanding of how long-term residential environment exposure affects subjective wellbeing under the dual changes of geographical environment and residential location. Based on a survey of the elderly (people over 60 years old) in Guangzhou, China, this study analyzes the effect of long-term residential environment exposure over 25 years on subjective wellbeing in later life in the context of residential mobility. The study found that subjective wellbeing in later life is not only related to the current residential environment but also the cumulative exposure to the long-term residential environment. The relationship between long-term residential environment exposure and subjective wellbeing in later life tends to be stable with the increase of cumulative time, especially the cumulative years over 15 years. Considering the importance of residential mobility history, the study further analyzes the moderating effects of relocation frequency and residential location. Relocation frequency can strengthen the positive effect of residential environment on subjective wellbeing and weaken the negative effect of residential environment on subjective wellbeing, which confirms the existence of residential self-selection. In addition, the direction of effect of residential environment on residents who move between living in the urban center and the periphery is consistent with that of residents who have always lived in the urban center, while the effects of the residential environment on residents who have always lived in the urban center and those who have always lived in the urban periphery are related in different directions. The conclusion of this study can provide guidance for individuals’ residential choice and governance of the urban environment to improve wellbeing.

Suggested Citation

  • Lingling Su & Suhong Zhou, 2022. "Long-Term Residential Environment Exposure and Subjective Wellbeing in Later Life in Guangzhou, China: Moderated by Residential Mobility History," IJERPH, MDPI, vol. 19(20), pages 1-18, October.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:20:p:13081-:d:939489
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/20/13081/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/20/13081/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Philip Morrison, 2011. "Local Expressions of Subjective Well-being: The New Zealand Experience," Regional Studies, Taylor & Francis Journals, vol. 45(8), pages 1039-1058.
    2. Pengxiang Zhao & Mei-Po Kwan & Suhong Zhou, 2018. "The Uncertain Geographic Context Problem in the Analysis of the Relationships between Obesity and the Built Environment in Guangzhou," IJERPH, MDPI, vol. 15(2), pages 1-20, February.
    3. Marco Helbich, 2019. "Spatiotemporal Contextual Uncertainties in Green Space Exposure Measures: Exploring a Time Series of the Normalized Difference Vegetation Indices," IJERPH, MDPI, vol. 16(5), pages 1-13, March.
    4. Rory Coulter & Maarten van Ham, 2013. "Following People Through Time: An Analysis of Individual Residential Mobility Biographies," Housing Studies, Taylor & Francis Journals, vol. 28(7), pages 1037-1055, October.
    5. Shang Ha & Seokho Kim, 2013. "Personality and Subjective Well-Being: Evidence from South Korea," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 111(1), pages 341-359, March.
    6. Si-Ming Li, 2004. "Life Course and Residential Mobility in Beijing, China," Environment and Planning A, , vol. 36(1), pages 27-43, January.
    7. Si‐Ming Li & Sanqin Mao, 2019. "The Spatial Pattern of Residential Mobility in Guangzhou, China," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 43(5), pages 963-982, September.
    8. Tim Schwanen & Donggen Wang, 2014. "Well-Being, Context, and Everyday Activities in Space and Time," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 104(4), pages 833-851, July.
    9. Xue Zhang & Suhong Zhou & Rongping Lin & Lingling Su, 2020. "Relationship between Long-Term Residential Green Exposure and Individuals’ Mental Health: Moderated by Income Differences and Residential Location in Urban China," IJERPH, MDPI, vol. 17(23), pages 1-21, December.
    10. Beata Nowok & Maarten van Ham & Allan M Findlay & Vernon Gayle, 2013. "Does Migration Make You Happy? A Longitudinal Study of Internal Migration and Subjective Well-Being," Environment and Planning A, , vol. 45(4), pages 986-1002, April.
    11. Youqin Huang, 2004. "The road to homeownership: a longitudinal analysis of tenure transition in urban China (1949–94)," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 28(4), pages 774-795, December.
    12. Thomas Niedomysl, 2011. "How Migration Motives Change over Migration Distance: Evidence on Variation across Socio-economic and Demographic Groups," Regional Studies, Taylor & Francis Journals, vol. 45(6), pages 843-855.
    13. Michael Eid & Ed Diener, 2004. "Global Judgments of Subjective Well-Being: Situational Variability and Long-Term Stability," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 65(3), pages 245-277, February.
    14. Goldman, N. & Kimbro, R.T. & Turra, C.M. & Pebley, A.R., 2006. "Socioeconomic gradients in health for White and Mexican-origin populations," American Journal of Public Health, American Public Health Association, vol. 96(12), pages 2186-2193.
    15. Chun Yin & Bindong Sun, 2020. "Does Compact Built Environment Help to Reduce Obesity? Influence of Population Density on Waist–Hip Ratio in Chinese Cities," IJERPH, MDPI, vol. 17(21), pages 1-16, October.
    16. Fenglong Wang & Donggen Wang, 2020. "Changes in residential satisfaction after home relocation: A longitudinal study in Beijing, China," Urban Studies, Urban Studies Journal Limited, vol. 57(3), pages 583-601, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xinrui Wang & Libin Ouyang & Jian Lin & Pengfei An & Wanjing Wang & Lin Liu & Longfeng Wu, 2023. "Spatial Patterns of Urban Green-Blue Spaces and Residents’ Well-Being: The Mediating Effect of Neighborhood Social Cohesion," Land, MDPI, vol. 12(7), pages 1-15, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Amit Birenboim, 2018. "The influence of urban environments on our subjective momentary experiences," Environment and Planning B, , vol. 45(5), pages 915-932, September.
    2. Eveline S. van Leeuwen & Viktor A. Venhorst, 2021. "Do households prefer to move up or down the urban hierarchy during an economic crisis?," Journal of Geographical Systems, Springer, vol. 23(2), pages 263-289, April.
    3. Wang, Fenglong & Mao, Zidan & Wang, Donggen, 2020. "Residential relocation and travel satisfaction change: An empirical study in Beijing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 341-353.
    4. Yinhua Tao, 2024. "Linking residential mobility with daily mobility: A three-wave cross-lagged panel analysis of travel mode choices and preferences pre–post residential relocation in the Netherlands," Urban Studies, Urban Studies Journal Limited, vol. 61(2), pages 273-293, February.
    5. Želinský, Tomáš & Hudec, Oto & Mojsejová, Alena & Hricová, Silvia, 2021. "The effects of population density on subjective well-being: A case-study of Slovakia," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    6. Chuhong Wang & Yonghua Wang & Xingfei Liu & Jiatong Zhong, 2023. "Housing Demolition and Occupational Mobility: Evidence from China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 170(1), pages 191-221, November.
    7. Can Cui, 2020. "Housing career disparities in urban China: A comparison between skilled migrants and locals in Nanjing," Urban Studies, Urban Studies Journal Limited, vol. 57(3), pages 546-562, February.
    8. Jonas De Vos, 2019. "Analysing the effect of trip satisfaction on satisfaction with the leisure activity at the destination of the trip, in relationship with life satisfaction," Transportation, Springer, vol. 46(3), pages 623-645, June.
    9. Sanqin Mao & Jie Chen, 2021. "Residential Mobility and Post-Move Community Satisfaction: Empirical Evidence from Guangzhou, China," Land, MDPI, vol. 10(7), pages 1-14, July.
    10. Lingling Su & Suhong Zhou & Mei-Po Kwan & Yanwei Chai & Xue Zhang, 2022. "The impact of immediate urban environments on people’s momentary happiness," Urban Studies, Urban Studies Journal Limited, vol. 59(1), pages 140-160, January.
    11. Minou Weijs-Perrée & Gamze Dane & Pauline van den Berg & Machiel van Dorst, 2019. "A Multi-Level Path Analysis of the Relationships between the Momentary Experience Characteristics, Satisfaction with Urban Public Spaces, and Momentary- and Long-Term Subjective Wellbeing," IJERPH, MDPI, vol. 16(19), pages 1-19, September.
    12. repec:grz:wpsses:2021-07 is not listed on IDEAS
    13. Sergi Vidal & Johannes Huinink, 2019. "Introduction to the special collection on spatial mobility, family dynamics, and gender relations," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(21), pages 593-616.
    14. Coulter, Rory & van Ham, Maarten & Findlay, Allan M., 2013. "New Directions for Residential Mobility Research: Linking Lives through Time and Space," IZA Discussion Papers 7525, Institute of Labor Economics (IZA).
    15. Yiming Tan & Mei-Po Kwan & Zifeng Chen, 2020. "Examining Ethnic Exposure through the Perspective of the Neighborhood Effect Averaging Problem: A Case Study of Xining, China," IJERPH, MDPI, vol. 17(8), pages 1-17, April.
    16. Crispin H. V. Cooper, 2020. "Quantitative Models of Well-Being to Inform Policy: Problems and Opportunities," Sustainability, MDPI, vol. 12(8), pages 1-13, April.
    17. Ubarevi?ien?, R?ta & van Ham, Maarten, 2016. "Population Decline in Lithuania: Who Lives in Declining Regions and Who Leaves?," IZA Discussion Papers 10160, Institute of Labor Economics (IZA).
    18. Dong, Han & Zhang, Jun & Cirillo, Cinzia, 2019. "Exploring, understanding, and modeling the reciprocal relation between leisure and subjective well-being," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 813-824.
    19. Junghwan Kim & Mei-Po Kwan, 2018. "Beyond Commuting: Ignoring Individuals’ Activity-Travel Patterns May Lead to Inaccurate Assessments of Their Exposure to Traffic Congestion," IJERPH, MDPI, vol. 16(1), pages 1-20, December.
    20. Li, Bingqin & Duda, Mark & Peng, Huamin, 2007. "Low-cost urban housing markets: serving the needs of low-wage, rural-urban migrants?," LSE Research Online Documents on Economics 21772, London School of Economics and Political Science, LSE Library.
    21. Michael Thomas & Brian Joseph Gillespie & Nik Lomax, 2019. "Variations in migration motives over distance," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 40(38), pages 1097-1110.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:20:p:13081-:d:939489. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.