摘要
构建了职业教育与共同富裕综合评价指标体系,采用熵值法、耦合协调度模型、空间分析方法和马尔可夫链模型等,考察了二者的时空动态演进,得出以下结论:职业教育与共同富裕的耦合协调度由过渡发展到协调发展转变,空间分布呈现“东高西低”特征;全局空间自相关呈现正相关特征,Moran's I 指数显著性较强,职业教育与共同富裕的协调发展存在空间集聚效应;局部空间自相关分析显示HH区域集中在东中部省份,LL区域由西部向东北部演化,LH区域范围略有扩大,HL区域范围显著扩大;职业教育与共同富裕的耦合协调程度呈现长期向好的发展趋势。
This paper constructs a comprehensive evaluation index system for vocational education and common prosperity,employing methods such as entropy weight method,coupling coordination degree model,spatial analysis,and Markov chain model to examine their spatiotemporal dynamic evolution,reaching the following conclusions:The coupling coordination degree between vocational education and common prosperity has shifted from transitional development to coordinated development,and its spatial distribution shows a feature of“high in the east and low in the west”pattern;The global spatial autocorrelation exhibits positive correlation characteristics,with Moran's I index showing strong significance,indicating that the coordinated development of vocational education and common prosperity demonstrates spatial agglomeration effects;Local spatial autocorrelation analysis shows that HH regions are concentrated in central and eastern provinces,LL regions have evolved from western to northeastern areas,LH regions have slightly expanded,while HL regions have significantly enlarged;The coupling coordination degree between vocational education and common prosperity demonstrates a positive long-term development trend.
作者
赵传松
刘晨阳
冯梦晗
刘传明
ZHAO Chuansong;LIU Chenyang;FENG Menghan;LIU Chuanming(School of Economics,Shandong University of Finance and Economics,Jinan,Shandong 250014,China;School of Business,Shandong Normal University,Jinan,Shandong 250358,China)
出处
《山东商业职业技术学院学报》
2025年第6期7-14,共8页
Journal of Shandong Institute of Commerce and Technology
基金
山东省教育科学“十四五”规划重点课题“职业教育促进共同富裕的作用机制与实现路径研究”(2023ZD065)
山东省教育科学“十四五”规划项目“山东省高等教育数字化发展的空间协同效应及提升路径研究”(2021QYB005)。
关键词
职业教育
共同富裕
耦合协调度模型
空间自相关
空间马尔可夫链
vocational education
common prosperity
coupling coordination degree model
spatial autocorrelation
spatial Markov chain
