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Agglomeration effect of CO_2 emissions and emissions reduction effect of technology: A spatial econometric perspective based on China's province-level data

机译:CO_2排放的集聚效应和技术的减排效应:基于中国省级数据的空间计量经济学视角

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To clarify the spatial characteristics of CO2 emissions, economic externalities of spatial units are transplanted into CO2 emissions research. Furthermore, to identify emissions reduction pathways, spatial econometric models are constructed based on the patent data about energy conservation and emissions reduction. The key results are: (1) The kernel density plot of China's CO2 emissions shows an obvious right-averse state, and the peak is getting lower. Therefore, we can conclude that CO2 emissions in China are increasing, and polarisation of CO2 emissions is serious; (2) Due to the similarity and connectivity exist in spatial units, China's CO2 emissions have shown a stable spatial agglomeration effect from global and local perspectives; (3) Based on adjacent, geographic, and economic distance matrices, energy technological progress has played a positive emissions reduction role on China's CO2 emissions from the perspective patent data about energy saving and emissions reduction. Finally, on the basis of the above conclusions, some policy implications have been proposed accordingly. (C) 2018 Elsevier Ltd. All rights reserved.
机译:为了阐明CO2排放的空间特征,将空间单位的经济外部性移植到了CO2排放研究中。此外,为了确定减排途径,基于有关节能和减排的专利数据构建了空间计量经济学模型。主要研究结果如下:(1)中国CO2排放量的核密度图呈明显的右偏态,峰值逐渐降低。因此,可以得出结论,中国的二氧化碳排放量正在增加,二氧化碳排放量的两极分化现象严重。 (2)由于空间单位之间存在相似性和连通性,从全球和地方的角度看,中国的二氧化碳排放已显示出稳定的空间集聚效应; (3)从关于节能减排的专利数据来看,能源技术进步基于相邻,地理和经济距离矩阵,对中国的CO2排放起到了积极的减排作用。最后,根据上述结论,相应地提出了一些政策含义。 (C)2018 Elsevier Ltd.保留所有权利。

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