基于SNA的产业碳排放关联及传导网络分析

Analysis of Industrial Carbon Emission Correlation and Conduction Network Based on SNA

为探究中国产业部门碳排放的关联及传导网络结构特征。基于2005、2010和2014年投入产出表及碳排放数据,利用未加权和加权前后向关联效应探究产业碳排放关联,并在完全消耗系数矩阵的基础上,采用社会网络分析方法探究个体及整体网络特征。结果表明:(1)石油加工、炼焦和核燃料加工业、电力、热力及燃气生产和供应业等产业未加权及加权前后向关联程度较大,承担着主要的溢出作用。(2)2005-2014年,产业碳排放的传导网络复杂性呈现下降趋势,但外部关联特性逐渐上升。(3)依据各产业部门在产业碳排放传导网络中的作用,可以将其划分为“经纪人”、“净溢出”、“净收益”和“双向溢出”4个板块。

To explore the correlation of carbon emissions and the characteristics of transmission network structure in China's industrial sector,the unweighted and weighted forward-looking correlation effects are used to explore the industrial carbon emission correlation on the basis of the 2005,2010 and 2014 input-output tables and carbon emissions data.And the individual and the overall network are analyzed by the social network analysis method based on the complete consumption coefficient matrix.The results show that the unweighted and weighted forward-relevant relationship is relatively large in the petroleum processing,coking and nuclear fuel processing industries,electric power,heat and gas production and supply industries,which implies that those industries have spillover effect on the carbon emissions of industries.From 2005 to 2014,the transmission network complexity of industrial carbon emissions shows a downward trend,but the external correlation characteristics gradually increases.According to the role of various industrial sectors in the industrial carbon emission transmission network,it can be divided into four brands,such as“brokers”,“net overflow”,“net income”and“two-way overflow”.