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Environmental Kuznets curve for CO2 emissions in China: A spatial panel data approach

机译:中国二氧化碳排放的环境库兹涅茨曲线:空间面板数据方法

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Different from previous studies which mainly focused on conventional estimation techniques, this paper examines the CO2 EKC hypothesis of China using a spatial panel data model to avoid the coefficient estimation error covering the period of 1997-2012. Furthermore, a comparative analysis of the turning points between the non-spatial panel model and spatial panel model is conducted. The results show that the relationship between economic growth and CO2 emissions shapes as an inverted-N trajectory. Spatial spillovers effects are confirmed to affect the shape of the CO2 environmental Kuznets curve. There exists an apparent block distribution in spatial structure of China's provincial CO2 emissions. Specifically, CO2 emissions have a relatively sharp increase from the eastern regions to the central and the western regions of China. It has also been found that urbanization and coal combustion are main factors on increasing CO2 emissions. While the trade openness contributes to slight decrease in CO2 emissions. The government should make targeted carbon-reduction policies for CO2 emission reduction. (C) 2015 Elsevier Ltd. All rights reserved.
机译:与以往主要侧重于常规估算技术的研究不同,本文使用空间面板数据模型检验了中国的CO2 EKC假设,以避免1997-2012年期间的系数估算误差。此外,对非空间面板模型和空间面板模型之间的转折点进行了比较分析。结果表明,经济增长与CO2排放之间的关系呈N倒形轨迹。确认了空间溢出效应会影响CO2环境库兹涅茨曲线的形状。中国省级二氧化碳排放量的空间结构存在明显的块状分布。具体而言,从中国东部地区到中部和西部地区,CO2排放量都有相对较大的增长。还发现,城市化和煤炭燃烧是增加二氧化碳排放量的主要因素。贸易开放有助于二氧化碳排放量的小幅下降。政府应制定有针对性的碳减排政策以减少二氧化碳排放。 (C)2015 Elsevier Ltd.保留所有权利。

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