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Spatio-Temporal Characteristics of the Supply and Demand Coupling Coordination of Elderly Care Service Resources in China

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  • Yijie Zhang

    (School of Economics and Management, Yanshan University, Qinhuangdao 066004, China)

  • Mingli Zhang

    (School of Economics and Management, Yanshan University, Qinhuangdao 066004, China
    Department of Public Education, Hebei University of Chinese Medicine, Shijiazhuang 050200, China)

  • Haiju Hu

    (School of Economics and Management, Yanshan University, Qinhuangdao 066004, China)

  • Xiaolong He

    (School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China)

Abstract

The current situation and future development of the supply and demand coupling coordination of elderly care service resources reflect the level of elderly care service resource allocation. Whether factors affecting its development can be found is the key to promote the accurate allocation of elderly care service. Based on the coupling coordination model, the supply and demand of elderly care service resources, the development circumstance and the spatio-temporal evolution of supply and demand coupling coordination are analyzed in this paper by using the data of the elderly care service resources in 31 regions and autonomous regions in China from 2010 to 2019. The result shows that there are regional differences in the development of supply and demand coupling coordination of elderly care service resources. The degree of supply and demand coupling coordination of elderly care service resources in the western and northern regions is lower than that in the eastern and southern regions. Although the level in most areas of supply and demand coupling coordination of elderly care service resources will improve in the future, there is still a gap from good coordination. In order to strengthen the supply of elderly care service resources, and promote the upgrade of the supply and demand of elderly care service resources, the government should start from the demand of the elderly to increase investment in infrastructure construction, investment in elderly care services resources, talent training and other aspects.

Suggested Citation

  • Yijie Zhang & Mingli Zhang & Haiju Hu & Xiaolong He, 2022. "Spatio-Temporal Characteristics of the Supply and Demand Coupling Coordination of Elderly Care Service Resources in China," IJERPH, MDPI, vol. 19(16), pages 1-21, August.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:16:p:10397-:d:893647
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    References listed on IDEAS

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    1. Jiansheng Wu & Jiayi Fu & Hongliang Wang & Yuhao Zhao & Tengyun Yi, 2022. "Identifying Spatial Matching between the Supply and Demand of Medical Resource and Accessing Carrying Capacity: A Case Study of Shenzhen, China," IJERPH, MDPI, vol. 19(4), pages 1-22, February.
    2. Siyu Zhou & Ziling Ni & Atsushi Ogihara & Xiaohe Wang, 2022. "Behavioral Patterns of Supply and Demand Sides of Health Services for the Elderly in Sustainable Digital Transformation: A Mixed Methods Study," IJERPH, MDPI, vol. 19(13), pages 1-24, July.
    3. Jacky Cheung & Alex Kwan & Sophia Chan & Raymond Ngan & Sik Ng & Edward Leung & Anna Lau, 2005. "Quality of Life in Older Adults: Benefits from Caring Services in Hong Kong," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 71(1), pages 291-334, March.
    4. Hongjuan Zhang & Juan Feng & Zhicheng Zhang & Kang Liu & Xin Gao & Zidong Wang, 2020. "Regional Spatial Management Based on Supply–Demand Risk of Ecosystem Services—A Case Study of the Fenghe River Watershed," IJERPH, MDPI, vol. 17(11), pages 1-25, June.
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    Cited by:

    1. Ji Wen & Xiaolin Mai & Wei Li & Xin Liu, 2022. "The Influence of Message Framing on Elderly Tourists’ Purchase Intentions of Health Services: A Case Study of Guangxi Bama," IJERPH, MDPI, vol. 19(21), pages 1-15, October.
    2. Mo Hu & Zhiyuan Hao & Yinrui Yin, 2022. "Promoting the Integration of Elderly Healthcare and Elderly Nursing: Evidence from the Chinese Government," IJERPH, MDPI, vol. 19(24), pages 1-18, December.

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