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Life Expectancy in Chinese Cities: Spatially Varied Role of Socioeconomic Development, Population Structure, and Natural Conditions

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  • Daquan Huang

    (School of Geography, Faculty of Geographical Science, Beijing Normal University, No. 19, Beijing 100875, China)

  • Shuimiao Yang

    (School of Geography, Faculty of Geographical Science, Beijing Normal University, No. 19, Beijing 100875, China)

  • Tao Liu

    (College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
    Center for Urban Future Research, Peking University, Beijing 100871, China)

Abstract

Improving life expectancy, as well as people’s health and wellbeing, is an important goal both for the Chinese government and the United Nations. Therefore, to analyze the main factors influencing life expectancy in prefecture-level cities in China, this study uses classical ordinary least-squares regression and geographical weighted regression on the data of the latest census. Moreover, regional differences induced by each influencing factor are also depicted in this study. The results demonstrate that there is significant heterogeneity and spatial positive correlation among the distribution of life expectancy in prefecture-level cities, with a generally higher life expectancy in the provincial capitals and eastern China, and lower in western China. The geographically weighted regression analysis shows that the economic development level, medical conditions, demographic structure, natural environment, and city attributes all affect the distribution of life expectancy, but that their effects have significant spatial heterogeneity. Life expectancy of the less developed areas in Western China is affected dominantly by economic development level, whereas medical services and education are of great importance in determining the life expectancy in Northern and Southern China, respectively. Thus, it is crucial to solve health problems based on local conditions, especially focusing on the improvement of health and health care in underdeveloped areas. Meanwhile, for the eastern developed areas, special attention should be paid to environmental protection in the economic process, while striving to achieve high-quality development.

Suggested Citation

  • Daquan Huang & Shuimiao Yang & Tao Liu, 2020. "Life Expectancy in Chinese Cities: Spatially Varied Role of Socioeconomic Development, Population Structure, and Natural Conditions," IJERPH, MDPI, vol. 17(18), pages 1-24, September.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:18:p:6597-:d:411799
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    References listed on IDEAS

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    Cited by:

    1. Jin-Li Hu & Min-Yueh Chuang & Shang-Ho Yeh, 2023. "A Dynamic DEA Analysis of Health Output Efficiencies of Cities and Counties in Taiwan," IJERPH, MDPI, vol. 20(6), pages 1-12, March.
    2. Qing Zou & Yingsi Lai & Zhao-Rong Lun, 2023. "Exploring the Association between Oxygen Concentration and Life Expectancy in China: A Quantitative Analysis," IJERPH, MDPI, vol. 20(2), pages 1-13, January.
    3. Sri Hasnawati & Mustofa Usman & Ahmad Faisol & Faiz A. M. Elfaki, 2023. "Analysis and Modeling Gross Domestic Product, Carbon Dioxide Emission, Population Growth, and Life Expectancy at Birth: Case Study in Qatar," International Journal of Energy Economics and Policy, Econjournals, vol. 13(2), pages 467-483, March.
    4. Zhiheng Chen & Yuting Ma & Junyi Hua & Yuanhong Wang & Hongpeng Guo, 2021. "Impacts from Economic Development and Environmental Factors on Life Expectancy: A Comparative Study Based on Data from Both Developed and Developing Countries from 2004 to 2016," IJERPH, MDPI, vol. 18(16), pages 1-18, August.

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