长江经济带绿色金融发展的空间关联结构及驱动因素研究

The Spatial Network Structure and Driving Factors of Green Finance Development in Yangtze River Economic Belt

基于1998—2017年长江经济带11省市的面板数据,构建了考虑环境约束的超效率DDF-DEA模型,测度地区绿色金融发展效率,在此基础上利用社会网络分析法构建长江经济带绿色金融发展网络,剖析网络关联结构及驱动因素。研究结果表明:长江经济带各省市间的绿色金融发展普遍存在溢出关系,节点连接数逐年增多,网络关系日趋紧密,地区间互动增强,但网络结构存在极化现象,四大网络板块间存在明显的梯度溢出传导路径。地区发展模式、社会资源禀赋、绿色发展环境和地理邻接关系在不同程度上影响着长江经济带绿色金融发展的关系网络格局。进一步指出,不能仅从本地属性视角求发展,更应从整体上把握长江经济带绿色金融发展的空间结构及其关系溢出路径,将地区发展置于长江经济带整体发展的“一盘棋”中,准确定位自身的关系网络角色,是实现全长江经济带绿色协同发展的关键。

Based on panel data from 11 provinces and cities in the Yangtze River Economic Belt from 1998 to 2017,a super-efficiency DDF-DEA model considering environmental constraints is constructed to measure the efficiency of green finance in the region.Furthermore,a social network analysis method is used to construct a green finance development network in the Yangtze River Economic Belt,analyzing the network’s relational structure and driving factors.The research results show that there is common overflow relationship on green finance among provinces in the Yangtze River Economic Belt,characterized with a gradual increase of interconnectedness,a more compact network;an increase of inter-regional interaction,but polarization in the distribution of network relation;and an obvious conduction path of gradient overflow among four major network plates.It is found in this study that regional development model,social resource endowment,green development environment and geographical adjacency influence the relationship network pattern of green finance to some extent.Furthermore,this study points out that the key to realizing green and coordinated development among provinces in the Yangtze River Economic Belt is to grasp the spatial structure and relationship overflow path of the green finance development as a whole,not merely from the perspective of local attributes,meanwhile,to put regional development in“a chess game”of overall development and position its own relationship network.