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China’s Air Quality and Respiratory Disease Mortality Based on the Spatial Panel Model

Author

Listed:
  • Qilong Cao

    (Business School, Changzhou University, Changzhou 213164, China)

  • Ying Liang

    (Department of Social Work and Social Policy, School of Social and Behavioral Sciences, Nanjing University, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China)

  • Xueting Niu

    (Department of Sociology, School of Social and Behavioral Sciences, Nanjing University, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China)

Abstract

Background : Air pollution has become an important factor restricting China’s economic development and has subsequently brought a series of social problems, including the impact of air pollution on the health of residents, which is a topical issue in China. Methods : Taking into account this spatial imbalance, the paper is based on the spatial panel data model PM 2.5 . Respiratory disease mortality in 31 Chinese provinces from 2004 to 2008 is taken as the main variable to study the spatial effect and impact of air quality and respiratory disease mortality on a large scale. Results : It was found that there is a spatial correlation between the mortality of respiratory diseases in Chinese provinces. The spatial correlation can be explained by the spatial effect of PM 2.5 pollutions in the control of other variables. Conclusions : Compared with the traditional non-spatial model, the spatial model is better for describing the spatial relationship between variables, ensuring the conclusions are scientific and can measure the spatial effect between variables.

Suggested Citation

  • Qilong Cao & Ying Liang & Xueting Niu, 2017. "China’s Air Quality and Respiratory Disease Mortality Based on the Spatial Panel Model," IJERPH, MDPI, vol. 14(9), pages 1-15, September.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:9:p:1081-:d:112349
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    Cited by:

    1. Jin-Wei Yan & Fei Tao & Shuai-Qian Zhang & Shuang Lin & Tong Zhou, 2021. "Spatiotemporal Distribution Characteristics and Driving Forces of PM2.5 in Three Urban Agglomerations of the Yangtze River Economic Belt," IJERPH, MDPI, vol. 18(5), pages 1-25, February.
    2. Yaolin Lin & Jiale Zou & Wei Yang & Chun-Qing Li, 2018. "A Review of Recent Advances in Research on PM 2.5 in China," IJERPH, MDPI, vol. 15(3), pages 1-29, March.
    3. Lingbo Liu & Yuni Zhong & Siya Ao & Hao Wu, 2019. "Exploring the Relevance of Green Space and Epidemic Diseases Based on Panel Data in China from 2007 to 2016," IJERPH, MDPI, vol. 16(14), pages 1-21, July.

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