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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
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    References listed on IDEAS

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    1. 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.
    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. 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.
    5. 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.
    6. 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.
    7. 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).
    8. Claudia Senik, 2005. "Income distribution and well-being: what can we learn from subjective data?," Post-Print halshs-00754101, HAL.
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