基于城市面板数据的PM<sub>2.5</sub>对公共健康的影响

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Abstract Based on the Grossman health production function and panel data of 280cities in China from 2008 to 2017, this paper took PM_2.5 as the proxy of air pollution to explore the dynamic relationship between air pollution and public health in China. Considering the spatial effect of public health, the spatial econometric models were used for empirical research. The results showed that, without considering the spatial effects, a 1% increment on PM_2.5 concentration could generate about 0.040% increase of the total mortality of population; after considering the spatial effects, for every 1% increase in PM_2.5 concentration, the total mortality of population would increase by 0.0606%. PM_2.5 pollution had a significant negative impact on public health. Due to the spatial spillover effect, the impact of PM_2.5 pollution on the level of urban public health has increased, this showed that ignoring the existence of spatial correlation would result in underestimating the impact of PM_2.5 pollution on public health; and the improvement of economic development and the adjustment of industrial structure had a strong role in improving public health.

Key words： PM_2.5 public health Grossman health production function spatial econometrics

Received: 08 April 2020

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X503.1

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	RUAN Fang-fang
	ZENG Xian-gang
	DUAN Cun-ru

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RUAN Fang-fang,ZENG Xian-gang,DUAN Cun-ru. Influence of PM_2.5 pollution on public health based on urban panel data[J]. CHINA ENVIRONMENTAL SCIENCECE, 2020, 40(12): 5451-5458.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2020/V40/I12/5451

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