山东工商学院学报

基于2011—2022年省级面板数据，采用社会网络分析(SNA)对我国城乡融合发展水平空间关联性进行实证分析，并通过QAP方法探究其影响因素。研究表明，我国城乡融合发展水平总体呈现逐渐上升的趋势，东部地区融合水平较高，中西部地区融合水平较低，整体呈现由东部向西部递减的分布格局。我国城乡融合发展水平空间联系日益紧密，网络结构日趋复杂化、稳定化；上海、北京、江苏、浙江、广东、天津等省份处于网络核心，对城乡融合发展水平的空间溢出效应影响较大；北京、上海、江苏、浙江、天津、河南等省份在网络扮演着中心行动者角色；贵州、重庆、北京、甘肃、上海、河南等省份在网络中发挥“桥梁”与“中介”作用。地理邻接、经济发展、科学技术、税收负担、金融发展的差异大，均能提升省际城乡融合的空间关联。

Based on provincial panel data from 2011 to 2022, this study employs Social Network Analysis(SNA) to empirically examine the spatial correlation of urban-rural integration development levels in China and investigates its influencing factors using the QAP method. The results show that the overall level of urban-rural integration in China has been gradually increasing, with higher integration levels in the eastern region and lower levels in the central and western regions, presenting a declining distribution pattern from east to west. The spatial 11 connections of urban-rural integration development have become increasingly close, with the network structure growing more complex and stable. Provinces such as Shanghai, Beijing, Jiangsu, Zhejiang, Guangdong, and Tianjin are at the core of the network and exert significant spatial spillover effects on urban-rural integration development. Beijing, Shanghai, Jiangsu, Zhejiang, Tianjin, and Henan play central actor roles in the network. Provinces such as Guizhou, Chongqing, Beijing, Gansu, Shanghai, and Henan serve as "bridges" and "intermediaries" in the network. Geographical proximity, as well as significant differences in economic development, science and technology, tax burden, and financial development, all enhance the spatial correlation of interprovincial urban-rural integration.