IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i14p5085-d384478.html
   My bibliography  Save this article

Social Capital and Preferences for Aging in Place Among Older Adults Living in Rural Northeast China

Author

Listed:
  • Nan Lu

    (Department of Social Work and Social Policy, School of Sociology and Population Studies, Renmin University of China, Beijing 100872, China
    Sau Po Centre on Ageing, The University of Hong Kong, Hong Kong, China)

  • Shicun Xu

    (Department of Population, Resources and Environment, Northeast Asian Studies College, Jilin University, Changchun 130012, China)

  • Qinghong Zhou

    (Department of Social Work and Social Policy, School of Sociology and Population Studies, Renmin University of China, Beijing 100872, China)

Abstract

The present study examines the association between cognitive social capital and structural social capital and aging-in-place among older adults living in rural Northeastern Chinese communities. Data were derived from a survey conducted in Dongliao County, Jilin Province, China, in late 2019. A quota sampling approach was used to recruit 458 respondents aged 60 years and older. Structural equation modeling was applied to test the proposed model. The results show that the measurement models of cognitive social capital and structural social capital were established in rural Chinese communities. Structural social capital was found to have a higher effect on aging in place than cognitive social capital (structural social capital: β = 0.241, p < 0.001; cognitive social capital: β = 0.118, p < 0.05). The findings highlight the crucial role both cognitive and structural social capital play in affecting the preference for aging in place among older rural Chinese adults. Policy and intervention implications are discussed.

Suggested Citation

  • Nan Lu & Shicun Xu & Qinghong Zhou, 2020. "Social Capital and Preferences for Aging in Place Among Older Adults Living in Rural Northeast China," IJERPH, MDPI, vol. 17(14), pages 1-10, July.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:14:p:5085-:d:384478
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/14/5085/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/14/5085/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jingyue Zhang & Nan Lu, 2019. "What Matters Most for Community Social Capital among Older Adults Living in Urban China: The Role of Health and Family Social Capital," IJERPH, MDPI, vol. 16(4), pages 1-14, February.
    2. Versey, H. Shellae, 2018. "A tale of two Harlems: Gentrification, social capital, and implications for aging in place," Social Science & Medicine, Elsevier, vol. 214(C), pages 1-11.
    3. Terry Y. S. Lum & Vivian W. Q. Lou & Yanyan Chen & Gloria H. Y. Wong & Hao Luo & Tracy L. W. Tong, 2016. "Neighborhood Support and Aging-in-Place Preference Among Low-Income Elderly Chinese City-Dwellers," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 71(1), pages 98-105.
    4. De Silva, Mary J. & Huttly, Sharon R. & Harpham, Trudy & Kenward, Michael G., 2007. "Social capital and mental health: A comparative analysis of four low income countries," Social Science & Medicine, Elsevier, vol. 64(1), pages 5-20, January.
    5. Nan Lu & Jingyue Zhang, 2019. "Social Capital and Self-Rated Health among Older Adults Living in Urban China: A Mediation Model," Sustainability, MDPI, vol. 11(20), pages 1-10, October.
    6. Iris Claus & Les Oxley & Yong Cai & Yuan Cheng, 2014. "Pension Reform In China: Challenges And Opportunities," Journal of Economic Surveys, Wiley Blackwell, vol. 28(4), pages 636-651, September.
    Full references (including those not matched with items on IDEAS)

    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. Nan Lu & Shicun Xu & Jingyue Zhang, 2021. "Community Social Capital, Family Social Capital, and Self-Rated Health among Older Rural Chinese Adults: Empirical Evidence from Rural Northeastern China," IJERPH, MDPI, vol. 18(11), pages 1-11, May.
    2. Ma Yuan & Cao Yue-qun & Wang Hao & Xiang Hong, 2022. "Does Social Capital Promote Health?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(2), pages 501-524, July.
    3. Yanzhe Zhang & Bowen Zou & Huai Zhang & Jian Zhang, 2022. "Empirical Research on Male Preference in China: A Result of Gender Imbalance in the Seventh Population Census," IJERPH, MDPI, vol. 19(11), pages 1-17, May.
    4. Qian Sun & Nan Lu, 2020. "Social Capital and Mental Health among Older Adults Living in Urban China in the Context of COVID-19 Pandemic," IJERPH, MDPI, vol. 17(21), pages 1-11, October.
    5. Jingyue Zhang & Shicun Xu & Nan Lu, 2019. "Community-Based Cognitive Social Capital and Self-Rated Health among Older Chinese Adults: The Moderating Effects of Education," IJERPH, MDPI, vol. 16(15), pages 1-11, July.
    6. Sanqin Mao & Jie Chen, 2021. "Neighborhood-Based Social Capital and Depressive Symptoms among Adults: Evidence from Guangzhou, China," IJERPH, MDPI, vol. 18(21), pages 1-14, October.
    7. Jingyue Zhang & Nan Lu & Wenxiu Wang, 2020. "Does Education Moderate the Relationship between Social Capital and Cognitive Function among Older Adults? Evidence from Suzhou City, China," IJERPH, MDPI, vol. 17(18), pages 1-11, September.
    8. Jingjing Xu, 2024. "Intergenerational transfers in China: What are the patterns of the transfers and when do the transfers occur?," International Studies of Economics, John Wiley & Sons, vol. 19(1), pages 117-150, March.
    9. Guo Chen & Amy K Glasmeier & Min Zhang & Yang Shao, 2016. "Urbanization and Income Inequality in Post-Reform China: A Causal Analysis Based on Time Series Data," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-16, July.
    10. Xiangjing Zhang & Wusi Zhou & Biya Jiang, 2022. "Patterns of Living Lost? Measuring Community Participation and Other Influences on the Health of Older Migrants in China," IJERPH, MDPI, vol. 19(8), pages 1-15, April.
    11. Anping Chen & Nicolaas Groenewold, 2017. "An increase in the retirement age in China: the regional economic effects," Applied Economics, Taylor & Francis Journals, vol. 49(7), pages 702-721, February.
    12. Fu, Yao & Jordan, Lucy P. & Zhou, Xiaochen & Chow, Cheng & Fang, Lue, 2023. "Longitudinal associations between parental migration and children's psychological well-being in Southeast Asia: The roles of caregivers' mental health and caregiving quality," Social Science & Medicine, Elsevier, vol. 320(C).
    13. Maria Pavlova & Rainer Silbereisen & Kamil Sijko, 2014. "Social Participation in Poland: Links to Emotional Well-Being and Risky Alcohol Consumption," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 117(1), pages 29-44, May.
    14. Agampodi, Thilini Chanchala & Agampodi, Suneth Buddhika & Glozier, Nicholas & Siribaddana, Sisira, 2015. "Measurement of social capital in relation to health in low and middle income countries (LMIC): A systematic review," Social Science & Medicine, Elsevier, vol. 128(C), pages 95-104.
    15. Alison Andrew & Orazio P. Attanasio & Britta Augsburg & Jere Behrman & Monimalika Day & Pamela Jervis & Costas Meghir & Angus Phimister, 2020. "Mothers' Social Networks and Socioeconomic Gradients of Isolation," Cowles Foundation Discussion Papers 2261, Cowles Foundation for Research in Economics, Yale University.
    16. Niu, Geng & Zhou, Yang & Gan, Hongwu, 2020. "Financial literacy and retirement preparation in China," Pacific-Basin Finance Journal, Elsevier, vol. 59(C).
    17. Jiafeng Gu & Ruiyu Zhu, 2020. "Social Capital and Self-Rated Health: Empirical Evidence from China," IJERPH, MDPI, vol. 17(23), pages 1-15, December.
    18. Brusilovskiy, Eugene & Salzer, Mark S., 2012. "A study of environmental influences on the well-being of individuals with psychiatric disabilities in Philadelphia, PA," Social Science & Medicine, Elsevier, vol. 74(10), pages 1591-1601.
    19. Xinguang Chen & Mengting Gao & Yayun Xu & Yan Wang & Shiyue Li, 2018. "Associations between personal social capital and depressive symptoms: Evidence from a probability sample of urban residents in China," International Journal of Social Psychiatry, , vol. 64(7), pages 668-678, November.
    20. Alexandra Mendoza-Graf & Rebecca L Collins & Madhumita Ghosh Dastidar & Robin Beckman & Gerald P Hunter & Wendy M Troxel & Tamara Dubowitz, 2023. "Changes in psychosocial wellbeing over a five-year period in two predominantly Black Pittsburgh neighbourhoods: A comparison between gentrifying and non-gentrifying census tracts," Urban Studies, Urban Studies Journal Limited, vol. 60(6), pages 1139-1157, May.

    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:17:y:2020:i:14:p:5085-:d:384478. 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.