https://doi.org/10.4081/gh.2021.1024
Explaining the longevity characteristics in China from a geographical perspective: A multi-scale geographically weighted regression analysis
Submitted: 9 June 2021
Accepted: 5 November 2021
Published: 11 November 2021
Accepted: 5 November 2021
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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Longevity is a near-universal human aspiration that can affect moral progress and economic development at the social level. In rapidly developing China, questions about the geographical distribution and environmental factors of longevity phenomenon need to be answered more clearly. This study calculated the longevity index (LI), longevity index for females (LIF) and longevity index for males (LIM) based on the percentage of the long-lived population among the total number of elderly people to investigate regional and gender characteristics at the county level in China. A new multi-scale geographically weighted regression (MGWR) model and four possible geographical environmental factors were applied to explore environmental effects. The results indicate that the LIs of 2838 counties ranged from 1.3% to 16.3%, and the distribution showed obvious regional and gender differences. In general, the LI was high in the East and low in the West, and the LIF was higher than the LIM in 2614 counties (92.1%). The MGWR model performed well explaining that geographical environmental factors, including topographic features, vegetation conditions, human social activity and air pollution factors have a variable influence on longevity at different spatial scales and in different regions. These findings enrich our understanding of the spatial distribution, gender differences and geographical environmental effects on longevity in China, which provides an important reference for people interested in the variations in the associations between different geographical factors.
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How to Cite
Yang, R., Ren, F., Ma, X., Zhang, H., Xu, W., & Jia, P. (2021). Explaining the longevity characteristics in China from a geographical perspective: A multi-scale geographically weighted regression analysis. Geospatial Health, 16(2). https://doi.org/10.4081/gh.2021.1024
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