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Spatial Inequalities and Influencing Factors of Self-Rated Health and Perceived Environmental Hazards in a Metropolis: A Case Study of Zhengzhou City, China

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  • Hongbo Zhao

    (Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation, Center on Yellow River Civilization Jointly Built by Henan Province and Ministry of Education, Henan University, Kaifeng 475001, China)

  • Li Yue

    (Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation, Center on Yellow River Civilization Jointly Built by Henan Province and Ministry of Education, Henan University, Kaifeng 475001, China)

  • Zeting Jia

    (Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation, Center on Yellow River Civilization Jointly Built by Henan Province and Ministry of Education, Henan University, Kaifeng 475001, China)

  • Lingling Su

    (Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation, Center on Yellow River Civilization Jointly Built by Henan Province and Ministry of Education, Henan University, Kaifeng 475001, China)

Abstract

Research on environmental pollution and public health has aroused increasing concern from international scholars; particularly, environmental hazards are among the important issues in China, focusing public attention on significant health risks. However, there are few studies concentrated on how perceived environmental hazards are characterized by spatial variation and on the impact of these risks on residents’ health. Based on a large-scale survey of Zhengzhou City in 2020, we investigated how the self-rated health of residents and the environmental hazards perceived by them were spatially inequal at a fine (subdistrict) scale in Zhengzhou City, China, and examined the relationship among self-rated health, environmental hazards, and geographical context. The Getis–Ord Gi* method was applied to explore the spatially dependent contextual (neighborhood) effect on environmental health inequality, and the ordered multivariate logistic regression method was used to examine the correlative factors with environmental hazards, geographical context, and health inequality. The results reveal that self-rated health and environmental hazards were disproportionately distributed across the whole city and that these distributions showed certain spatial cluster characteristics. The hot spot clusters of self-rated health had favorable environmental quality where the hot spot clusters of environmental hazards were located and vice versa. In addition, health inequality was evident and was related to gender, income level, educational attainment, and housing area of residents, and the inequalities of environmental hazards existed with respect to income and housing area. Meanwhile, environmental risk inequalities associated with the social vulnerability of residents (the poor and those with low educational attainment) were obvious, with those residents experiencing a disproportionately high exposure to environmental hazards and reporting bad health conditions. The role of the geographical context (subdistrict location feature) also helps to explain the spatial distribution of health and environmental inequalities. Residents with better exposure to green coverage generally reported higher levels of self-rated health condition. In addition, the geographical location of the subdistrict also had a significant impact on the difference in residents’ self-rated health status. The purpose of this study is to provide reference for policy makers to optimize the spatial pattern of urban public services and improve public health and environmental quality at a fine scale.

Suggested Citation

  • Hongbo Zhao & Li Yue & Zeting Jia & Lingling Su, 2022. "Spatial Inequalities and Influencing Factors of Self-Rated Health and Perceived Environmental Hazards in a Metropolis: A Case Study of Zhengzhou City, China," IJERPH, MDPI, vol. 19(12), pages 1-18, June.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:12:p:7551-:d:843518
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    References listed on IDEAS

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    1. Lin Zhang & Suhong Zhou & Mei-Po Kwan & Fei Chen & Rongping Lin, 2018. "Impacts of Individual Daily Greenspace Exposure on Health Based on Individual Activity Space and Structural Equation Modeling," IJERPH, MDPI, vol. 15(10), pages 1-18, October.
    2. Susan J. Elliott & Donald C. Cole & Paul Krueger & Nancy Voorberg & Sarah Wakefield, 1999. "The Power of Perception: Health Risk Attributed to Air Pollution in anUrban Industrial Neighbourhood," Risk Analysis, John Wiley & Sons, vol. 19(4), pages 621-634, August.
    3. Jing Ma & Gordon Mitchell & Guanpeng Dong & Wenzhong Zhang, 2017. "Inequality in Beijing: A Spatial Multilevel Analysis of Perceived Environmental Hazard and Self-Rated Health," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 107(1), pages 109-129, January.
    4. Feng, Zhixin & Wang, Wenfei Winnie & Jones, Kelvyn & Li, Yaqing, 2012. "An exploratory multilevel analysis of income, income inequality and self-rated health of the elderly in China," Social Science & Medicine, Elsevier, vol. 75(12), pages 2481-2492.
    5. Baeten, Steef & Van Ourti, Tom & van Doorslaer, Eddy, 2013. "Rising inequalities in income and health in China: Who is left behind?," Journal of Health Economics, Elsevier, vol. 32(6), pages 1214-1229.
    6. Bakkeli, Nan Zou, 2016. "Income inequality and health in China: A panel data analysis," Social Science & Medicine, Elsevier, vol. 157(C), pages 39-47.
    7. Rehana Shrestha & Johannes Flacke & Javier Martinez & Martin Van Maarseveen, 2016. "Environmental Health Related Socio-Spatial Inequalities: Identifying “Hotspots” of Environmental Burdens and Social Vulnerability," IJERPH, MDPI, vol. 13(7), pages 1-23, July.
    8. Florian Lederbogen & Peter Kirsch & Leila Haddad & Fabian Streit & Heike Tost & Philipp Schuch & Stefan Wüst & Jens C. Pruessner & Marcella Rietschel & Michael Deuschle & Andreas Meyer-Lindenberg, 2011. "City living and urban upbringing affect neural social stress processing in humans," Nature, Nature, vol. 474(7352), pages 498-501, June.
    9. Chakraborty, J. & Maantay, J.A. & Brender, J.D., 2011. "Disproportionate proximity to environmental health hazards: Methods, models, and measurement," American Journal of Public Health, American Public Health Association, vol. 101(SUPPL. 1), pages 27-36.
    10. Lei Zhang & Gui-zhen He & Arthur P.J. Mol & Yong-long Lu, 2013. "Public perceptions of environmental risk in China," Journal of Risk Research, Taylor & Francis Journals, vol. 16(2), pages 195-209, February.
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