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首页> 美国卫生研究院文献>International Journal of Environmental Research and Public Health >The Spatial-Temporal Characteristics and Influential Factors of NOx Emissions in China: A Spatial Econometric Analysis
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The Spatial-Temporal Characteristics and Influential Factors of NOx Emissions in China: A Spatial Econometric Analysis

机译：中国NOx排放的时空特征及其影响因素：空间计量经济学分析

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While the progress of China’s industrialization and urbanization has made great strides, atmospheric pollution has become the norm, with a wide range of influence and difficult governance. While many previous works on NOx pollution have been developed from the perspectives of natural science and technology, few studies have been conducted from social-economic points of view, and regional differences have not been given adequate attention in driving force models. This paper adopts China’s provincial panel data from 2006 to 2015, an extended STIRPAT (Stochastic Impacts by Regression on Population, Affluence and Technology) model, and spatial econometric models to investigate the socio-economic influential factors and spatial-temporal patterns of NOx emissions. According to the spatial correlation analysis results, the provincial NOx emission changes not only affected the provinces themselves, but also neighboring regions. Spatial econometric analysis shows that the spatial effect largely contributes to NOx emissions. The other explanatory variables all have positive impacts on NOx emissions, except for the vehicular indicator (which did not pass the significance test). As shown through the estimated consequences of direct and indirect effects, the indicators have significant positive effects on their own areas, and exacerbate NOx pollution. In terms of indirect effects, only three factors passed the significant test. An increase in gross domestic product (GDP) and energy consumption will exacerbate adjacent NOx pollution. Finally, a series of socio-economic measures and regional cooperation policies should be applied to improve the current air environment in China.
机译：在中国工业化和城市化进程取得长足进步的同时，大气污染已成为常态，影响范围广，治理难度大。尽管从自然科学和技术的角度已经开发了许多以前的关于NOx污染的著作，但是从社会经济的角度进行的研究很少，并且在驱动力模型中没有充分注意区域差异。本文采用2006年至2015年中国各省的面板数据，扩展的STIRPAT（回归对人口，富裕程度和技术的随机影响）模型以及空间计量经济学模型来研究NOx排放的社会经济影响因素和时空格局。根据空间相关性分析结果，省的氮氧化物排放量变化不仅影响了省份本身，还影响了邻近地区。空间计量经济学分析表明，空间效应在很大程度上促进了NOx的排放。除车辆指标（未通过显着性检验）外，其他解释性变量均对NOx排放产生积极影响。正如通过直接和间接影响的估计结果所显示的那样，这些指标对自己的区域产生了显着的积极影响，并加剧了NOx污染。在间接影响方面，只有三个因素通过了显着检验。国内生产总值（GDP）和能源消耗的增加将加剧附近的NOx污染。最后，应采取一系列社会经济措施和区域合作政策，以改善中国目前的空气环境。

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