Environmental Kuznets curve for CO2 emissions in China: A spatial panel data approach
Environmental Kuznets curve for CO2 emissions in China: A spatial panel data approach
复制标题
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
DOI：
10.1016/j.ecolind.2015.12.011
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发表时间：
2016-04-01
影响因子：
6.9
通讯作者：
Yang, Ya-Yun
中科院分区：
文献类型：
--
作者：
Kang, Yan-Qing;Zhao, Tao;Yang, Ya-Yun
与以往研究主要关注常规估计方法不同，本文利用空间面板数据模型对中国的二氧化碳EKC假说进行了检验，以避免1997年至2012年期间的系数估计误差。此外，还对非空间面板模型和空间面板模型的转折点进行了比较分析。结果表明，经济增长与二氧化碳排放之间的关系呈倒N轨迹。空间溢出效应影响了CO2环境库兹涅茨曲线的形状。中国省际二氧化碳排放在空间结构上存在明显的块状分布。具体来说，从东部地区到中国的中西部地区，二氧化碳排放量有较大幅度的增加。研究还发现，城市化和燃煤是导致二氧化碳排放增加的主要因素。而贸易开放有助于二氧化碳排放量的小幅下降。政府应该制定有针对性的二氧化碳减排政策。(C)2015爱思唯尔有限公司。保留所有权利。
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.