The Influence of Air Quality on Respiratory System Disease in Pearl River Delta Based on Data Analysis
Abstract: Based on the related data of the nine cities in Pearl River Delta from 2006 to 2013, the article first builds a weighted API model to assess the regional air quality, and applies the principle of Dose- Response Relationship to estimate the hospitalization rate of Respiratory System Disease. Com-bining the obtained data, we use the Correlation Coefficient to analyze quantitatively the influence of air quality on the disease. In addition, in order to improve the status of disease, we carry on Multiple Regression Analysis and the Environmental Kuznets Curve to make a further research on the crucial problems of environmental governance. Finally, we draw the conclusions that the dis-ease is affected complicatedly apart from air quality in most of the cities in Pearl River Delta, and what causes the disease varies in regions obviously. Furthermore, respecting the cause of the dis-ease, the major pollutant of Guangzhou, Zhuhai and Jiangmen is SO2, while that is PM10 in other six cities. And governing the air pollution to lower the disease wouldn’t discourage the economic growth, because the economy of the region is over the EKC.
文章引用: 卓杨媚 , 蔡韫昕 , 陈建超 , 卢诗华 , 唐小定 , 蔡婉文 , 申瑜晗 , 许遵猛 (2016) 基于数据分析的珠三角地区空气质量与呼吸系统疾病关系研究。 统计学与应用， 5， 281-288. doi: 10.12677/SA.2016.53028
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