|
Abstract Based on the data of population and economy of Shandong Province and 17 prefecture-level cities from 2000 to 2018 and 2000-2010, this paper calculates Moran’s I index and spatial Dubin model (SDM), by using Geoda software and MATLAB software to analyze the economic level. It analyzes the spatial effect of six factors on the aging index of 17 prefectural-level cities, such as medical service and education level. The results show that the aging coefficient of Shandong Province is on the rise and the growth rate is accelerated, and the spatial pattern of the aging index is obviously high in the east and low in the west and low in the north and south, and there is no obvious change in the spatial pattern of the aging index. There is a significant spatial lag in the aging index. The improvement of economic level, social medical level and urbanization level can significantly positively affect the aging index, and the lag factors of population natural growth rate, birth rate and urbanization rate have significant positive effects on the aging index. The level of social medical service has a significant spillover effect on the aging index of the region and the surrounding cities.
|
