IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i23p16342-d994898.html
   My bibliography  Save this article

Exploring the Association between Neighborhood Blue Space and Self-Rated Health among Elderly Adults: Evidence from Guangzhou, China

Author

Listed:
  • Yujie Chen

    (School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing 210023, China)

  • Yuan Yuan

    (School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
    Guangdong Key Laboratory for Urbanization and Geo-Simulation, Guangzhou 510006, China)

  • Yuquan Zhou

    (Department of Urban Planning and Spatial Analysis, Sol Price School of Public Policy, University of Southern California, Los Angeles, CA 90089, USA)

Abstract

Blue spaces is associated with self-rated health (SRH), but little is known about the pathways underlying this association among Chinese urban elderly individuals. Based on neighborhood effect theory, this study examined the relationship between neighborhood blue spaces and SRH among elderly individuals using data from a questionnaire survey conducted in Guangzhou, remote sensing images, street views, and environmental information in the context of a Chinese megacity. In addition, multilevel linear model and mediating effect model empirical analyses were performed. Results showed that first, the SRH of the elderly was associated with individual- and neighborhood-level factors. Second, the multilevel mediation model revealed that multiple biopsychosocial pathways existed between neighborhood blue spaces and the SRH of the elderly, specifically, the blue space characteristics related to the SRH of the elderly via the mediating effect of stress. Third, owing to demographic characteristics and socioeconomic status, the stratified analyses also indicated a strong association between neighborhood blue spaces and SRH outcomes in the older and low-income groups. The mediating effect of stress in the age and income groups was also observed, and the mediation pathways and group differences were confirmed in the context of Chinese cities. This research enriches the empirical literature on blue spaces and elderly health from a multidisciplinary perspective and suggests the need for “healthy neighborhood” and “health-aging” planning in Chinese settings.

Suggested Citation

  • Yujie Chen & Yuan Yuan & Yuquan Zhou, 2022. "Exploring the Association between Neighborhood Blue Space and Self-Rated Health among Elderly Adults: Evidence from Guangzhou, China," IJERPH, MDPI, vol. 19(23), pages 1-17, December.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:16342-:d:994898
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/23/16342/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/23/16342/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dempsey, Seraphim & Devine, Mel T. & Gillespie, Tom & Lyons, Seán & Nolan, Anne, 2018. "Coastal blue space and depression in older adults," Papers RB201826, Economic and Social Research Institute (ESRI).
    2. Bin Liang & Guilin Han & Man Liu & Kunhua Yang & Xiaoqiang Li & Jinke Liu, 2018. "Distribution, Sources, and Water Quality Assessment of Dissolved Heavy Metals in the Jiulongjiang River Water, Southeast China," IJERPH, MDPI, vol. 15(12), pages 1-14, December.
    3. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    4. Elliott, Lewis R. & White, Mathew P. & Taylor, Adrian H. & Herbert, Stephen, 2015. "Energy expenditure on recreational visits to different natural environments," Social Science & Medicine, Elsevier, vol. 139(C), pages 53-60.
    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. Paolo Naticchioni & Silvia Loriga, 2011. "Short and Long Term Evaluations of Public Employment Services in Italy," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 57(3), pages 201-229.
    2. Alperovych, Yan & Hübner, Georges & Lobet, Fabrice, 2015. "How does governmental versus private venture capital backing affect a firm's efficiency? Evidence from Belgium," Journal of Business Venturing, Elsevier, vol. 30(4), pages 508-525.
    3. Ellison, Richard B. & Ellison, Adrian B. & Greaves, Stephen P. & Sampaio, Breno, 2017. "Electronic ticketing systems as a mechanism for travel behaviour change? Evidence from Sydney’s Opal card," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 80-93.
    4. Turner, Alex J. & Fichera, Eleonora & Sutton, Matt, 2021. "The effects of in-utero exposure to influenza on mental health and mortality risk throughout the life-course," Economics & Human Biology, Elsevier, vol. 43(C).
    5. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    6. Jeffrey Smith, 2000. "A Critical Survey of Empirical Methods for Evaluating Active Labor Market Policies," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 136(III), pages 247-268, September.
    7. François Fall & Akim Almouksit, 2016. "The impact of formal financing on small informal enterprises in Comoros," Working Papers hal-01566389, HAL.
    8. Amarendra Sharma, 2019. "Indira Awas Yojana and Housing Adequacy: An Evaluation using Propensity Score Matching," ASARC Working Papers 2019-05, The Australian National University, Australia South Asia Research Centre.
    9. Sant’Anna, Pedro H.C. & Zhao, Jun, 2020. "Doubly robust difference-in-differences estimators," Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
    10. Balima, Wenéyam Hippolyte & Combes, Jean-Louis & Minea, Alexandru, 2017. "Sovereign debt risk in emerging market economies: Does inflation targeting adoption make any difference?," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 360-377.
    11. Federico Biagi & Daniele Bondonio & Alberto Martini, 2015. "Counterfactual Impact Evaluation of Enterprise Support Programmes. Evidence from a Decade of Subsidies to Italian Firm," ERSA conference papers ersa15p1619, European Regional Science Association.
    12. Rajeev Dehejia, 2013. "The Porous Dialectic: Experimental and Non-Experimental Methods in Development Economics," WIDER Working Paper Series wp-2013-011, World Institute for Development Economic Research (UNU-WIDER).
    13. Nathalie Greenan & Pierre-Jean Messe, 2018. "Transmission of vocational skills in the second part of careers: the effect of ICT and management changes," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 52(1), pages 1-16, December.
    14. Shapiro, Joseph & Trevino, Jorge Moreno, 2004. "Compensatory education for disadvantaged Mexican students : an impact evaluation using propensity score matching," Policy Research Working Paper Series 3334, The World Bank.
    15. Nathalie Greenan & Pierre-Jean Messe, 2018. "Transmission of vocational skills in the second part of careers: the effect of ICT and management changes," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 52(1), pages 1-16, December.
    16. Rungmaitree, Pattamon & Boateng, Agyenim & Ahiabor, Frederick & Lu, Qinye, 2022. "Political risk, hedge fund strategies, and returns: Evidence from G7 countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    17. Wenlian Gao & Feifei Zhu & Kai Chen, 2023. "The role of bank lenders in firm leverage adjustments," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 46(1), pages 63-97, February.
    18. Richard Disney & Eleonora Fischera & Trudy Owens, 2010. "Has the Introduction of Microfinance Crowded-out Informal Loans in Malawi?," Discussion Papers 10/08, University of Nottingham, CREDIT.
    19. Kube, Roland & von Graevenitz, Kathrine & Löschel, Andreas & Massier, Philipp, 2019. "Do voluntary environmental programs reduce emissions? EMAS in the German manufacturing sector," Energy Economics, Elsevier, vol. 84(S1).
    20. Pedro H. C. Sant'Anna & Xiaojun Song & Qi Xu, 2022. "Covariate distribution balance via propensity scores," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1093-1120, September.

    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:23:p:16342-:d:994898. 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.