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Spatial variations and macroeconomic determinants of life expectancy and mortality rate in China: a county-level study based on spatial analysis models

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  • Shaobin Wang

    (Chinese Academy of Sciences)

  • Zhoupeng Ren

    (Chinese Academy of Sciences
    Chinese Academy of Sciences)

Abstract

Objectives The life expectancy and mortality rate always exhibit remarkable spatial variations. Their spatial distribution patterns and economic determinants in China were explored. Methods Four indexes including lifespan expectancy at birth (LEB), infant mortality rate (IMR), under-5 mortality rate (U5MR) and crude mortality rate (CMR) at county level in China were calculated. The spatial distribution patterns of these indexes were illustrated. Meanwhile, spatial regressive model was applied to explore the relations between major macroeconomic determinants and these indexes. Results Spatial dependence of these four indexes in China was identified, and the positive spatial autocorrelation indicated a clustering feature rather than stochastic distribution. Additionally, local Moran’s I statistics revealed opposite local spatial clusters of LEB and IMR, U5MR in China, that LEB showed that high value clusters in the southwest and low value clusters in the eastern part and northern Xinjiang, and IMR/U5MR exhibited that low value clusters in the east and high value clusters in the west. The spatial regression revealed that income per capita influenced positively on LEB and CMR, and GDP per capita was associated positively with IMR and U5MR. Conclusions Geographical factors should be highly considered, and the L–L LEB or H–H IMR/U5MR clustered areas need to be integrated as a whole to formulate public health and economic development plans.

Suggested Citation

  • Shaobin Wang & Zhoupeng Ren, 2019. "Spatial variations and macroeconomic determinants of life expectancy and mortality rate in China: a county-level study based on spatial analysis models," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(5), pages 773-783, June.
    • Handle: RePEc:spr:ijphth:v:64:y:2019:i:5:d:10.1007_s00038-019-01251-y
    DOI: 10.1007/s00038-019-01251-y
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    Cited by:

    1. Jing Zhao & Xiaoru Zuo & Chun-Ping Chang, 2023. "More economic growth with the better public health? Evidence from Western China," Economic Change and Restructuring, Springer, vol. 56(2), pages 1083-1112, April.
    2. Hao Yang & Shaobin Wang & Zhoupeng Ren & Haimeng Liu & Yun Tong & Na Wang, 2022. "Life Expectancy, Air Pollution, and Socioeconomic Factors: A Multivariate Time-Series Analysis of Beijing City, China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(3), pages 979-994, August.
    3. Wang, Shaobin, 2020. "Spatial patterns and social-economic influential factors of population aging: A global assessment from 1990 to 2010," Social Science & Medicine, Elsevier, vol. 253(C).
    4. Wang, Jun & Ang, James B., 2024. "Epidemics, disease control, and China’s long-term development," Journal of Comparative Economics, Elsevier, vol. 52(1), pages 93-112.
    5. Wang, Shaobin & Ren, Zhoupeng & Liu, Xianglong & Yin, Qian, 2022. "Spatiotemporal trends in life expectancy and impacts of economic growth and air pollution in 134 countries: A Bayesian modeling study," Social Science & Medicine, Elsevier, vol. 293(C).
    6. Wang, Shaobin & Wu, Jun, 2020. "Spatial heterogeneity of the associations of economic and health care factors with infant mortality in China using geographically weighted regression and spatial clustering," Social Science & Medicine, Elsevier, vol. 263(C).

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