基于空间面板模型的中国省域碳排放影响因素分析

Influencing factors of Provincial Carbon Emission in China Based on Spatial Panel Model

  • 摘要: 基于2005—2014年中国30个省份的面板数据,运用空间统计方法分析中国省域碳排放的空间相关性,并利用空间计量模型分析了影响中国碳排放的主要因素。结果表明:中国省域碳排放存在正向的空间相关性;地区经济发展水平、城镇化水平和能源消耗强度对我国省域碳排放存在显著的正向影响,而产业结构和科技水平影响效果不显著。

     

    Abstract: Based on the panel data of 30 provinces in China from 2005 to 2014, the spatial correlation of provincial carbon emission were analyzed using spatial statistical method, and the main influencing factors were summarized with spatial econometric model. The results showed that there was positive spatial correlation among China's provincial carbon emission; the provincial carbon emission were positively affected by regional economic level, urbanization level, and energy consumption intensity with significant differences, but the industrial structure and technological level with no significance.

     

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