Digitalization and higher education coupling coordination:analysis of urban spatial network characteristics and driving factors
摘要
识别数字化与高等教育在空间维度上的关联模式与网络结构,揭示其背后的驱动因素,对于理解两者融合发展的系统逻辑至关重要.在测算2011-2022年中国279个地级市数字化与高等教育耦合协调度的基础上,运用Dagum基尼系数考察其时空特征,进一步采用修正后的引力模型、社会网络分析和QAP回归分析,探究耦合协调空间关联网络的结构与驱动因素.研究发现:(1)数字化与高等教育的耦合协调从中度失调衰退逐步跃迁至轻度失调衰退,但高等教育发展的相对滞后,制约了耦合协调程度的进一步提升.耦合协调的空间不均衡性加剧,东部与东北部之间、东北部地区内部的差异最为明显.(2)数字化与高等教育融合的空间网络逐渐成形,抱团发展模式较为成熟,核心城市如武汉、重庆、北京、上海等在网络中占据主导地位,辐射带动其他城市发展,西部和东北部的部分城市协同互动偏弱,处于边缘位置,是网络中的净受益者.(3)地理位置邻近性和行政隶属关系是推动空间网络形成的主导因素,而城市间的经济竞争关系对网络形成具有阻碍作用.
Identifying the spatial correlation patterns and network structures between digitalization and higher education,revealing the driving factors behind them,is crucial for understanding the systematic logic of their integrated development.Based on the estimation of the coupling coordination degree between digitalization and higher education in 279 prefecture-level cities in China from 2011 to 2022,this paper examined the spatiotemporal characteristics of their coupling coordination by Dagum Gini coefficient.Furthermore,a modified gravity model,social network analysis,and QAP regression analysis were employed to explore the structure and driving factors of the spatial association network of coupling coordination.This paper drew the following conclusions:(1)The coupling coordination between digitalization and higher education has evolved from a moderately disordered decline to a mildly disordered decline.However,the relative lag in higher education development has constrained further improvement in the degree of coordination.Spatial imbalance in coupling coordination has intensified,with the most pronounced disparities observed between the eastern and northeastern regions,as well as within the northeastern region itself.(2)A spatial network of integration between digitalization and higher education has gradu-ally taken shape,exhibiting a relatively mature cluster development pattern.Core cities such as Wuhan,Chongqing,Beijing,and Shang-hai occupied dominant positions within the network,radiating influence to drive development in other cities,while certain cities in the western and northeastern regions showed weak collaborative interactions,remaining on the periphery and acting as net beneficiaries of the network.(3)Geographical proximity and administrative affiliation were identified as the primary drivers of the formation of the spa-tial network,whereas economic competition among cities hindered its development.