基于面板分位数回归的中国碳排放影响因素分析

Analysis of Influential Factors of Carbon Emission in China Based on Panel Quartile Regression

利用2000-2019年中国的历史面板数据,建立分位数回归法探究了对外贸易水平、城镇化水平、产业结构升级和环境规制对中国碳排放的影响。实证研究发现,对外贸易和城镇化水平与碳排放量呈现正相关,而产业结构升级和环境规制与碳排放量呈现负相关。

Using China's historical panel data from 2000-2019,a quantile regression is established to explore the impact of foreign trade level,urbanization level,industrial structure upgrading and environmental regulation on China's carbon emissions.The empirical study finds that foreign trade and urbanization level are positively related to carbon emissions,while industrial structure upgrading and environmental regulation are negatively related to carbon emissions.