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首页> 外文期刊>International Journal of Environmental Research and Public Health >China’s Air Quality and Respiratory Disease Mortality Based on the Spatial Panel Model
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China’s Air Quality and Respiratory Disease Mortality Based on the Spatial Panel Model

机译：基于空间面板模型的中国空气质量和呼吸疾病死亡率

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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.
机译：背景：空气污染已成为限制中国经济发展的重要因素，并随后带来了一系列社会问题，包括空气污染对居民健康的影响，这在中国是一个热门话题。方法：考虑到这种空间失衡，本文基于空间面板数据模型PM 2.5。以2004年至2008年中国31个省的呼吸系统疾病死亡率为主要变量，大规模研究空气质量和呼吸系统疾病死亡率的空间效应和影响。结果：发现中国各省的呼吸系统疾病死亡率之间存在空间相关性。空间相关性可以通过控制其他变量中PM 2.5污染的空间效应来解释。结论：与传统的非空间模型相比，空间模型更适合描述变量之间的空间关系，确保结论是科学的，并且可以测量变量之间的空间效应。

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