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What contributes to the regional inequality of haze pollution in China? Evidence from quantile regression and Shapley value decomposition

机译:有什么促进中国阴霾污染的区域不等式? 来自量级回归的证据和福利价值分解

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Against the increasingly serious haze pollution in China, this paper is to compare the impacts of different factors on haze pollution in different regions, and understand the causes of regional inequality of haze pollution. In doing so, quantile regression and regression-based Shapley value decomposition are employed in this paper. The main results are as follows. (1) Population density and industrialization level have positive impacts on haze pollution, while economic development negatively influences haze pollution, however, the impact of environmental regulation on haze pollution is ineffective. (2) With quantile increasing, the effect of foreign direct investment on haze pollution changes from positive to negative, and the influence of energy intensity on haze pollution changes from negative to positive. (3) The decomposition results specify that the regional inequality in population density is the main cause of the regional disparities of haze pollution. The inequalities in industrialization level and regional factors are also important reasons, and the contribution of energy intensity cannot be ignored either. The regional gap of economic development is conducive to reducing the regional disparities of haze pollution.
机译:本文对中国越来越严重的阴霾污染来比较不同因素对不同地区雾度污染的影响,了解雾度污染区域不平等的原因。在此方面,本文采用了量化回归和基于回归的福利分解。主要结果如下。 (1)人口密度和工业化水平对雾度污染产生积极影响,而经济发展对阴霾污染产生负面影响,然而,环境监管对雾度污染的影响是无效的。 (2)随着量子的增加,外国直接投资对雾度污染的影响从阳性变化,能量强度对雾度污染的影响变为阳性。 (3)分解结果指出,人口密度的区域不平等是雾度污染区域差异的主要原因。工业化水平和区域因素的不平等也是重要的原因,也不忽视能源强度的贡献。经济发展的区域差距有利于减少雾度污染的区域差异。

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