IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i4p1950-d745050.html
   My bibliography  Save this article

Obstacle Factors and Spatial Measurement of the Well-Being of the Elderly in China

Author

Listed:
  • Lijing Dong

    (School of Public Administration, Liaoning University, Shenyang 110136, China)

  • Zhanhua Jia

    (School of Economics, Liaoning University, Shenyang 110136, China)

  • Lingyu Zhang

    (School of Public Administration, Liaoning University, Shenyang 110136, China)

  • Shaohua Wang

    (Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)

Abstract

This paper takes 31 provinces in China as the research object and constructs an evaluation index system for the well-being of the elderly in four aspects (health well-being, income well-being, social well-being and educational well-being) and uses a set-pair analysis model to spatially measure the well-being of the elderly. Then, barrier analysis is used to identify the main factors that lead to the differences in the well-being levels of the elderly in different regions. The results show that: (1) The provinces with higher levels of well-being of the elderly are mainly concentrated in the Beijing–Tianjin–Hebei region, Pearl River Delta region, Yangtze River Delta region and Bohai Sea Rim region. (2) The differences in income well-being levels are the largest among provinces, and the differences in health levels are the smallest among provinces. (3) Analysis of the barriers to elderly well-being shows that the number of beds per 1000 population in health care facilities, elderly dependency ratio, number of higher education schools for adults, number of nursing homes and urban road area per capita are the main factors affecting the differences in the well-being levels of elderly people across provinces. Finally, policy recommendations are made to introduce localized policies for the elderly in China to continuously promote solutions to the problems of the elderly.

Suggested Citation

  • Lijing Dong & Zhanhua Jia & Lingyu Zhang & Shaohua Wang, 2022. "Obstacle Factors and Spatial Measurement of the Well-Being of the Elderly in China," Sustainability, MDPI, vol. 14(4), pages 1-15, February.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:4:p:1950-:d:745050
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/4/1950/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/4/1950/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Robert Biswas-Diener & Ed Diener, 2006. "The Subjective Well-Being of the Homeless, and Lessons for Happiness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 76(2), pages 185-205, April.
    2. Yuvisthi Naidoo, 2019. "A Multi-dimensional Individual Well-Being Framework: With an Application to Older Australians," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(3), pages 581-608, December.
    3. Mary Breheny & Christine Stephens & Fiona Alpass & Brendan Stevenson & Kristie Carter & Polly Yeung, 2013. "Development and Validation of a Measure of Living Standards for Older People," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 114(3), pages 1035-1048, December.
    4. Claudia Senik, 2005. "Income distribution and well-being: what can we learn from subjective data?," Post-Print halshs-00754101, HAL.
    5. Fabrizio Maturo & Antonio Balzanella & Tonio Di Battista, 2019. "Building Statistical Indicators of Equitable and Sustainable Well-Being in a Functional Framework," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(3), pages 449-471, December.
    6. Hackert, Mariska Q.N. & van Exel, Job & Brouwer, Werner B.F., 2020. "Well-being of Older People (WOOP): Quantitative validation of a new outcome measure for use in economic evaluations," Social Science & Medicine, Elsevier, vol. 259(C).
    7. Kitty Stewart, 2005. "Dimensions Of Well-Being In Eu Regions: Do GDP And Unemployment Tell us All We Need To Know?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 73(2), pages 221-246, September.
    8. Roberto Ezcurra & Pedro Pascual & Manuel Rapún, 2006. "The Spatial Distribution Of Welfare In The European Union," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 97(4), pages 331-342, 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. Domenico Tucci & Lorella Sicuro & Domenico Di Spalatro & Fabrizio Maturo, 2019. "Italians’ general satisfaction and perception of the country’s priority problems: A regional analysis of the phenomenon and its evolution from 2000 to 2015," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(6), pages 2821-2842, November.
    2. István György Tóth & Keller, T., 2011. "GINI DP 7: Income Distributions, Inequality Perceptions and Redistributive Claims in European Societies," GINI Discussion Papers 7, AIAS, Amsterdam Institute for Advanced Labour Studies.
    3. Laetitia Duval & François-Charles Wolff, 2016. "Emigration intentions of Roma: evidence from Central and South-East Europe," Post-Communist Economies, Taylor & Francis Journals, vol. 28(1), pages 87-107, January.
    4. Guido Bonatti & Enrico Ivaldi, 2016. "Un indicatore per la misurazione della partecipazione culturale e sociale nelle regioni italiane," ECONOMIA E DIRITTO DEL TERZIARIO, FrancoAngeli Editore, vol. 2016(2), pages 283-302.
    5. Simone Schneider, 2012. "Income Inequality and its Consequences for Life Satisfaction: What Role do Social Cognitions Play?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 106(3), pages 419-438, May.
    6. Ahmed Lahsen, Amina & Piper, Alan T. & Thiele, Ida-Anna, 2020. "Kim Jiyoung, Born 1982, and the Labour Market: Overeducation, Gender, Income and Life Satisfaction. Panel evidence from Korea," MPRA Paper 100616, University Library of Munich, Germany.
    7. Alpaslan Akay & Gökhan Karabulut & Peter Martinsson, 2013. "The effect of religiosity and religious festivals on positional concerns -- an experimental investigation of Ramadan," Applied Economics, Taylor & Francis Journals, vol. 45(27), pages 3914-3921, September.
    8. Lionel WILNER, 2019. "The Dynamics of Individual Happiness," Working Papers 2019-18, Center for Research in Economics and Statistics.
    9. Marco Grasso & Luciano Canova, 2008. "An Assessment of the Quality of Life in the European Union Based on the Social Indicators Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 87(1), pages 1-25, May.
    10. Hajdu, Tamás & Hajdu, Gábor, 2011. "A hasznosság és a relatív jövedelem kapcsolatának vizsgálata magyar adatok segítségével [Examining the relation of utility and relative income using Hungarian data]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 56-73.
    11. Johannes Vatter, 2012. "Well-Being in Germany: GDP and Unemployment Still Matter," RatSWD Working Papers 196, German Data Forum (RatSWD).
    12. Clark, Andrew E. & Senik, Claudia, 2010. "Will GDP Growth Increase Happiness in Developing Countries?," CEPREMAP Working Papers (Docweb) 1024, CEPREMAP.
    13. Kuhn, Andreas, 2015. "The Subversive Nature of Inequality: Subjective Inequality Perceptions and Attitudes to Social Inequality," IZA Discussion Papers 9406, Institute of Labor Economics (IZA).
    14. Andrew E. Clark & Conchita D’Ambrosio & Simone Ghislandi, 2016. "Adaptation to Poverty in Long-Run Panel Data," The Review of Economics and Statistics, MIT Press, vol. 98(3), pages 591-600, July.
    15. Fulvio Castellacci & Henrik Schwabe, 2020. "Internet, unmet aspirations and the U-shape of life," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-22, June.
    16. Akay, Alpaslan & Bargain, Olivier B. & Giulietti, Corrado & Robalino, Juan D. & Zimmermann, Klaus F., 2016. "Remittances and relative concerns in rural China," China Economic Review, Elsevier, vol. 37(C), pages 191-207.
    17. Dufhues, Thomas & Möllers, Judith & Jantsch, Antje & Buchenrieder, Gertrud & Camfield, Laura, 2023. "Don’t look up! Individual income comparisons and subjective well-being of students in Thailand," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 24(2), pages 477-503.
    18. Akay, Alpaslan & Bargain, Olivier & Elsayed, Ahmed, 2020. "Global terror, well-being and political attitudes," European Economic Review, Elsevier, vol. 123(C).
    19. Barrington-Leigh, C.P., 2024. "The econometrics of happiness: Are we underestimating the returns to education and income?," Journal of Public Economics, Elsevier, vol. 230(C).
    20. Grimani, Katerina, 2014. "Labor earnings and Psychological well-being: An Empirical Analysis," MPRA Paper 57098, University Library of Munich, Germany.

    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:jsusta:v:14:y:2022:i:4:p:1950-:d:745050. 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.