Research on Demand Forecasting and Operation Model of Elderly Service Beds

Abstract

This paper predicts the number of elderly people over 65 years old in China by building a Logistic Model, and makes a reasonable prediction of the market demand scale of the number of elderly service beds per 1,000 users by GM(1,1) Grey Prediction Model. Then, we explore the operation mode from the government's perspective, and specifically explore the factors that may affect the operation of elderly service beds in the future through Analytic Hierarchy Process. We take the government subsidies, social employment, social contributions, operating income, and financing income as the main influencing factors, and give the proportion of each factor in the best mode, which provides a direction for the subsequent research on the operation mode of elderly service beds. Finally, this paper also gives some specific suggestions.