成渝城市群碳排放空间关联结构演化及影响因素

本文基于社会网络分析法（SNA）以及二次分配程序（QAP）方法，利用成渝城市群2005~2016年面板数据，对成渝城市群碳排放空间关联性及影响因素进行研究.结果表明：①成渝城市群碳排放空间关联性显著，呈现出复杂的网络结构形态，样本期内，网络密度由0.16增长至0.68，关联关系数从38个增长为162个.②重庆、成都、绵阳和南充等城市位于网络的中心地位，发出了较多的关联关系，同时发挥着中介作用.③碳排放空间关联网络被划分成为5个层级，层级结构整体较为稳定，然而第一层级与第二层级存在较为严重的断层现象.④空间距离、人口数量差异以及经济水平差异是碳排放关联性的主要驱动因素.城市间空间距离越近、人口数量与经济水平差异越大，越容易产生碳排放关联关系.

The spatial association structure evolution of carbon emissions in Chengdu-Chongqing urban agglomeration and its influence mechanism

Based on social network analysis (SNA) and quadratic assignment procedure (QAP) regression method, the spatial correlation of carbon emission and its influence mechanism in Chengdu-Chongqing urban agglomeration were studied referring to panel data from 2005~2016. The results showed that: ① A significant spatial correlation of carbon emissions in Chengdu-Chongqing urban agglomeration was observed, presenting a complex network pattern. During the sample period, the network density increased from 0.16 to 0.68, and the number of connections increased from 38 to 162. ②Cities like Chengdu, Chongqing, Mianyang and Nanchong were located in the center of the network, with more correlations being developed that played an intermediary role. ③ The spatial correlation network of carbon emissions was divided into five levels, whose overall hierarchy was relatively stable. However, there were serious faults in the first and second level. ④ In addition, difference in spatial distance, population and economic development were the main driving force of the correlation of carbon emissions. The closer the space distance, and the greater the difference regarding population and the economic development, the easier carbon emissions correlation between cities can be formed.