Spatio-Temporal Characteristics of the Supply and Demand Coupling Coordination of Elderly Care Service Resources in China
Yijie Zhang,
Mingli Zhang (),
Haiju Hu and
Xiaolong He
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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
Haiju Hu: School of Economics and Management, Yanshan University, Qinhuangdao 066004, China
Xiaolong He: School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China
IJERPH, 2022, vol. 19, issue 16, 1-21
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.
Keywords: elderly care service resources; supply and demand coupling coordination; BP neural network prediction; spatio-temporal characteristics (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)
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