中国省际服务业碳排放空间网络结构及其驱动因素

Provincial Spatial Network Structure of Carbon Emissions from Service Industry and Driving Factors in China

在碳达峰、碳中和的时代背景下,探索服务业碳排放空间网络结构及其驱动因素对于推进服务业节能减排具有重要的实践价值.基于2000—2018年中国省际服务业碳排放的面板数据(不含西藏自治区及港澳台地区数据),综合运用修正后的引力模型和社会网络分析法刻画服务业碳排放空间网络结构特征并厘清其驱动因素.结果表明:①研究期内中国服务业碳排放空间联系强度不断增大,服务业碳排放空间网络结构趋于复杂化且稳定性显著提升.②上海市、北京市、江苏省和浙江省等省份在中国服务业碳排放空间网络结构中扮演“中心行动者”的角色,这些省份是其他省份进行服务业碳排放空间关联的重要“桥接”和“枢纽”,控制与主导中国服务业碳排放的空间关联和空间溢出.③省份间的地理位置越邻近,产业结构优化、城镇化水平和科技发展水平的差异越大,中国服务业碳排放空间的联系越多;而服务业碳排放强度的差异越大,服务业碳排放空间的联系越少.研究显示,中国省际服务业碳排放存在空间关联和空间溢出,但空间网络结构仍较为松散,未来在推进服务业节能减排的工作中,需重视建立省际协同减排机制.

In the era of carbon emission peak and carbon neutrality,it is of great practical value for promoting the energy conservation and emission reduction in the service industry to systematically explore the spatial network structure and its driving factors of carbon emissions from service industry.Based on the provincial panel data of carbon emissions(excluding the data of Tibet Autonomous Region,Hongkong,Macon and Taiwan)in China's service industry from 2000 to 2018,the modified gravity model and social network analysis(SNA)were used to analyze the characteristics of spatial network structure of carbon emissions in service industry and clarify the driving factors.The main results are as follows.Firstly,the spatial connection strength of carbon emissions in the service industry continued to increase.Additionally,the spatial network structure of carbon emissions in the service industry became increasingly complicated and stable.Secondly,Shanghai,Beijing,Jiangsu Province,Zhejiang Province,and other provinces played a role of‘central actor’in the spatial network structure of carbon emissions in China's service industry.Specifically,the above-mentioned provinces were also important‘bridges’for other provinces to implement network connections of carbon emissions in the service industry.Additionally,the‘hub’controls and dominates the spatial connection and the spatial spillover of carbon emissions from service industry in China.Thirdly,the closer the geographical location of provinces,the greater the differences in the optimization of industrial structure,the level of urbanization,and the ability of technological innovation,the more spatial connections of carbon emissions from service industry in China.On the contrary,the greater the difference in carbon emission intensity of the service industry,the less spatial connections of carbon emissions in the service industry.The research shows that there were spatial correlations and spatial spillover of carbon emissions in China's inter-provincial service industry,but the spatial network structure was still relatively loose.In the promotion of energy conservation and carbon emission reduction in the service industry,a synergistic inter-provincial emission reduction mechanism needs to be established.