Study on the Effects and Influencing Factors of the Economic Spatial Correlation Network in the Yellow River Basin

作     者：Renquan HUANG Qian ZENG Yinong SI Renquan HUANG;Qian ZENG;Yinong SI

作者机构：School of Economy and FinanceXi’an International Studies UniversityXi’an 710128China 

出 版 物：《Journal of Systems Science and Information》 (系统科学与信息学报（英文）)

年 卷 期：2024年第12卷第5期

页      面：690-708页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Supported by Humanities and Social Science Fund of Ministry of Education of China(22YJC790008) Soft Science Research Project of Xi’an Municipal Science and Technology Bureau(24RKYJ0007) Soft Science Research Project of Shaanxi Province Science and Technology Department(2022KRM116) 

主　　题：Yellow River Basin spatial correlation social network analysis QAP regression 

摘      要：This paper constructs high-quality development assessment indicators based on the perspective ternary system,including economic development,technological innovation,and ecological environment *** on the data of 51 regions in the Yellow River Basin from 2010 to 2021,the economic spatial correlation relationships were *** using social network analysis and the QAP method,the economic spatial correlation characteristics and the influencing factors are *** results show that:1)The regions exhibit significant variations in comprehensive quality and economic ***,Xi’an,Jinan,Luoyang,and Zibo are the top five *** with high comprehensive quality tend to have stronger economic *** economic links show an obvious“upstream-midstream-downstreamthree-tier structure.2)Regions such as Xi’an,Zhengzhou,Jinan,Taiyuan,Ordos,Luoyang,Baotou etc.,exhibit high degree and betweenness centrality,and low closeness *** are the core regions of high-quality development in the Yellow River *** I is the core block and spills to Block II,Block III,and Block *** II plays an essential bridge role to Block III.3)The factors of spatial adjacency,fixed asset investment,employment,informatization,and innovation are key to spatial correlation,and explain 40.5%of the spatial correlation.