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The Environmental Pollution Effects of Industrial AgglomerationA Spatial Econometric Analysis Based on Chinese City Data

机译:基于中国城市数据的产业集聚空间计量计量分析的环境污染影响

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摘要

To analyze the environmental pollution effects elicited by industrial agglomeration, a spatial econometric model is constructed based on the Green Solow model. Using data derived from 285 Chinese cities between 2003and 2014, the global Moran'I and local bivariate LISA agglomeration map demonstrates that there is significant correlation between industrial agglomeration and industrial pollution discharge. Then, the spatial Durbin model (SDM) is built and the empirical results are as follows. First, inter-city industrial pollution discharge has a demonstration effect. Cites in the same region should take measures to cooperate to lower industrial pollution discharge. Second, the relationship between the local cities' industrial agglomeration and the local cities' industrial pollution discharge fits the inverted "U" curve. While the neighboring cities' industrial agglomeration will decrease the local cities' industrial pollution discharge. So, measures should be taken to increase the industrial agglomeration degree in the long run.
机译:为了分析产业集聚引发的环境污染效果,基于绿色求解模型构建了空间计量经济模型。使用2003年至2014年之间的285个中国城市的数据,全球莫兰安和当地双变型丽莎集聚图表明产业集聚与工业污染排放之间存在显着相关性。然后,构建了空间Durbin模型(SDM),实证结果如下。首先,城市间工业污染排放具有示范效果。同一地区的引用应采取措施合作降低工业污染排放。其次,当地城市产业集聚与当地城市的工业污染排放之间的关系适合倒置的“U”曲线。虽然邻近的城市的产业集聚将减少当地的城市的工业污染排放。因此,应该采取措施,从长远来看,增加产业集聚程度。

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