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Empirical analysis of the influential factors of haze pollution in china-Based on spatial econometric model

机译：中国雾霾污染影响因素的实证分析-基于空间计量经济模型

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Based on spatial econometrics, this paper examines the impact of urbanization, coal consumption proportion, and traffic pressure on haze pollution and attempts to verify the environmental Kuznets curve hypothesis by using 30 provinces' panel data in China from 2003 to 2015. The global Moran's I index indicates the positive spatial correlation of haze pollution, and the local Moran's I index indicates the clustering phenomenon of haze pollution in local regions. This model shows that haze pollution has spatial spillover effects in China. The relationship between urbanization and haze pollution is an inverse U-type curve, and the increase in coal consumption proportion and traffic pressure may enhance the degree of haze pollution. To govern China's haze pollution, China should promote regional collaborative governance, expand urban afforestation areas, adopt green buildings, increase green elements, enhance ecological factors, optimize energy structure and implement energy substitution, and develop public traffic.
机译：本文基于空间计量经济学，研究了城市化，煤炭消费比例和交通压力对霾污染的影响，并试图通过使用2003年至2015年中国30个省的面板数据来验证环境库兹涅茨曲线假说。全球Moran's I指数表示雾霾污染的正空间相关性，局部Moran's I指数表示雾霾污染在局部地区的聚集现象。该模型表明，雾霾污染在中国具有空间溢出效应。城市化与霾污染的关系呈倒U型曲线，煤炭消费比重和交通压力的增加可能会加剧霾污染的程度。为了治理中国的烟霾污染，中国应促进区域合作治理，扩大城市绿化面积，采用绿色建筑，增加绿色元素，增强生态因子，优化能源结构，实施能源替代，以及发展公共交通。

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