Analysis on the Temporal and Spatial Evolution of Population Life Expectancy and Influencing Factors in the Yellow River Basin

被引：0
|
作者：
Zhang Y. [1 ]
Yang C. [2 ]
Zhang W. [3 ]
Bi X. [2 ]
机构：
[1] School of Agriculture and Forestry Economics and Management, Lanzhou University of Finance and Economics, Lanzhou
[2] School of Economics, Lanzhou University of Finance and Economics, Lanzhou
[3] School of Geography Science, Qinghai Normal University, Xining
来源：
Journal of Geo-Information Science | 2022年 / 24卷 / 05期
关键词：
Geodetector; Health level; Influencing factors; Life expectancy; Spatial autocorrelation; Temporal and spatial evolution; The Yellow River Basin; Theil index;
D O I：
10.12082/dqxxkx.2022.210692
中图分类号：
学科分类号：
摘要：
Healthy human capital plays an important role in promoting social and economic development. Taking 71 prefecture-level administrative units in the Yellow River Basin as the research area, using methods such as coefficient of variation, Theil index, and spatial autocorrelation model, the temporal and spatial evolution characteristics of population life expectancy in the basin are studied, and the influencing factors are analyzed based on geographic detectors. The results show as followed: (1) From 2000 to 2019, the average life expectancy of the population increased from 69.99 years to 76.96 years, showing an overall upward trend, but it has long been lower than the average life expectancy of our country's population; (2) The overall regional differences in life expectancy of the population in the Yellow River Basin shows a trend of increasing first and then decreasing, and the differences between the zones continue to converge. The differences within the zones are basically consistent with the overall changes in the basin; (3) There is obvious spatial agglomeration in the life expectancy of the population, but the spatial autocorrelation decreases and has large spatial variation. Specifically, the Huangnan Tibetan Autonomous Prefecture, Hainan Tibetan Autonomous Prefecture, Gannan Tibetan Autonomous Prefecture, and other Tibetan areas have formed stable cold spots, and the scale of Shandong Province forms a stability hot spot; (4) Medical and health resources and natural conditions have the most significant impact on the life expectancy of the population in the upper reaches; the level of economic development and environmental pollution have the strongest explanatory power for the life expectancy of the population in the lower reaches; the level of education is an important factor affecting the life expectancy of the population in all regions of the Yellow River Basin. The explanatory power of the interaction of different factors is higher than the explanatory power of a single factor. The spatial difference in the life expectancy of the population in the Yellow River Basin is the result of multiple factors. © 2022, Science Press. All right reserved.
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页码：902 / 913
页数：11
相关论文
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