中国服务业生态效率空间关联网络及其驱动机制

Spatial Correlation Network of Eco-Efficiency of Service Industry in China and Its Driving Mechanism

明晰中国服务业生态效率空间关联网络及其驱动机制,有利于为协同推动服务业绿色转型提供依据。该文综合运用基于非期望产出的Super-EBM模型、修正后的引力模型和社会网络分析法探索2000—2020年中国服务业生态效率空间关联网络及其驱动机制。结论如下:①研究期内中国省域服务业生态效率波动下降,省域间服务业生态效率的空间联系强度不断增大,呈现“东密西疏、东强西弱”的分布格局;②中国服务业生态效率表现出多线程的空间溢出特征,但整体网络密度仍相对较低且凝聚力有所下降,北京、上海和江苏在中国服务业生态效率空间关联网络中始终处于主导地位,是其他省域服务业生态效率空间溢出的重要桥接;③净溢出、净受益、经纪人和双向溢出板块间的空间溢出效应愈加强劲,但板块内部的空间联系趋于弱化,研究期末净溢出板块和经纪人板块内部成员均无空间联系;④要素投入势差、市场资源配置和政府宏观调控共同驱动服务业生态效率空间关联网络形成,并通过各驱动因子作用方向和作用程度的变化加速空间关联网络演化与重组。

Clarifying the spatial correlation network and driving mechanism of eco-efficiency of service industry in China is conducive to providing a basis for promoting green transformation of service industry in a coordinated manner.The Super-EBM model based on undesirable output,the modified gravity model and the social network analysis were combined to explore the evolution characteristics and the driving mechanisms of the spatial correlation network of eco-efficiency of service industry in China.The main results are as follows.①During the study period,the eco-efficiency of provincial service industry in China showed an evolutionary trend of fluctuation and decline.The spatial correlation strength of service industry eco-efficiency among provinces was increasing,showing a distribution pattern of"dense in the east and sparse in the west,strong in the east and weak in the west".②The eco-efficiency of service industry in China exhibited the characteristics of multi-thread spatial spillover,but the overall network density was still relatively low and the cohesion has declined.Provinces such as Beijing,Shanghai and Jiangsu were always dominant in the eco-efficiency spatial correlation network of service industry in China,which were the important bridge for other provinces to link the spatial correlation of eco-efficiency of service industry.③The spatial spillover effect between net spillover,net benefit,broker and two-way spillover sectors became stronger,but the spatial connection within the sector tended to be weaken.At the end of the study period,there was no spatial connection among the members within the net spillover sector or the broker sector.④The combination of factor input potential difference,market resource allocation and government macro-regulation drove the formation of spatial correlation network of eco-efficiency in service industry,and accelerated the evolution and reorganization of spatial correlation network through the changes in the direction and degree of each driving factor.