Investigation and Research Based on the Prediction and Planning of Community Home Care Service Center in Tianhe District, Guangzhou

Ningwei Wang and Heqi Wang ()
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Ningwei Wang: Northeastern University
Heqi Wang: Northeastern University

A chapter in Proceedings of the 2022 2nd International Conference on Economic Development and Business Culture (ICEDBC 2022), 2022, pp 1557-1564 from Springer

Abstract: Abstract China has entered the stage of aging society, and the pension problem has become one of the hotspots of public concern. This paper uses the Grey Prediction GM (1,1) model to predict the population trend of the elderly in Tianhe District and the proportion of the elderly in Tianhe District choosing community home-based elderly care in the future. The study found that the home-based elderly care service center has a large market potential and a large target population, so there is a large development space; The elderly in this area have great demand for the basic services of community home-based elderly care, focusing on dining, medical treatment and housekeeping, and the elderly care service level needs to be further improved.

Keywords: Aging; Community home care; Grey Prediction GM (1; 1) model; Quantitative modelling (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-036-7_232

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DOI: 10.2991/978-94-6463-036-7_232

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