基于空间关联网络结构的中国省域协同碳减排研究

利用1997-2014年的省域数据,运用社会网络分析方法对中国省域二氧化碳排放的空间关联结构特征进行实证考察,研究认为:在样本期内,中国碳排放空间关联网络的紧密程度呈递增趋势,网络结构的不平等程度在降低,网络复杂性和稳定性逐渐增强。上海、江苏、天津、北京、浙江、广东等省份位于网络的中心位置,在网络中发挥核心中介作用,中西部的部分省份在网络中的作用逐渐增强。在碳排放空间关联网络中,长三角、环渤海和珠三角地区属于"受益者"板块,其他地区属于"贡献者"板块。碳排放的空间关联网络结构为省际间实现"引领-跟随"型的协同碳减排奠定了基础。

Study on Chinese Provincial Collaborative Carbon Reduction Based on Spatial Correlation Network Structure

Using the provincial data from 1997 to 2014,this paper has studied on the spatial correlation network structural characteristic of carbon dioxide emission in China using the method of social network analysis (SNA)to empirically examine,the studies have shown that:During the sample period,Chinese spatial correlation network density of carbon emission shows an increasing trend,the inequality degree of network structure is reduced,network complexity and stability is gradually enhanced.Shanghai,Jiangsu, Tianj in,Beij in,Zhej iang and Guangdong locate in the center of the network,play a role of intermediary in the network,the role of some provinces in the central and western regions has gradually become more significant in the network.In the spatial correlation network of carbon emission,Yangtze River Delta, Bohai Rim and Pearl River Delta are beneficiary block,other regions are contributor block.The spatial correlation network structure of carbon emission establishes a foundation for provincial"lead-follow"type collaborative carbon reduction.