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Impact of Urbanization on CO_2 Emissions: Regional Differences Based on Panel Estimation

机译:城市化对CO_2排放的影响:基于面板估计的区域差异

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This study analysed the impact of urbanization and the level of economic development on energy-related CO_2 emissions using the STIRPAT model and provincial panel data from 1995 to 2011 for China. This study classifies the 29 provinces of China into groups according to their economic development levels and examined regional differences in the environmental impacts of urbanization. The results demonstrated that there was an inverted U-curve-shaped relationship between urbanization and CO_2 emissions in the major regions of China. However, we did not confirm the environmental Kuznets Curve relationship between income and CO_2 emissions in China, where CO_2 emissions increase monotonically with income. Among our contributions is the classification of the 29 provinces of China into three groups according to their economic development levels, which showed that the impacts of urbanization differ considerably. In two of the groups, a threshold level was identified, beyond which the emission-urbanization elasticity was negative and further increases in the urbanization rate did not contribute to higher emissions. However, for the third group only population and affluence, but not urbanization, helped to explain emissions. Therefore, the different impacts of urbanization on CO_2 emissions should be taken into consideration in future discussions of climate change policies.
机译:这项研究使用STIRPAT模型和1995年至2011年中国省级面板数据分析了城市化和经济发展水平对能源相关的CO_2排放的影响。本研究根据中国29个省的经济发展水平将其分类,并研究了城市化对环境的影响的区域差异。结果表明,中国主要地区的城市化与CO_2排放之间存在U型曲线倒立的关系。但是,我们没有确认中国收入与CO_2排放之间的环境库兹涅茨曲线关系,中国的CO_2排放随收入单调增加。在我们的贡献中,根据中国29个省的经济发展水平将其分为三类,这表明城市化的影响差异很大。在这两个组中,确定了一个阈值水平,超过该阈值水平,其排放-城市化弹性为负,城市化率的进一步提高并未导致排放量的增加。然而,对于第三类人群,只有人口和富裕程度而不是城市化有助于解释排放。因此,在未来的气候变化政策讨论中应考虑城市化对CO_2排放的不同影响。

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