安徽省智能网联汽车产业提升路径研究——基于ISM与MICMAC方法  

Research on the Improvement Path of Anhui Province’s Intelligent Connected Vehicle Industry——Based on ISM and MICMAC Methods

作　　者：马浩淼 MA Haomiao(Department of Comprehensive Teaching and Research,Party School of the Working Committee of Anhui Provincial Government Organs,230091,Hefei,Anhui,China)

机构地区：[1]中共安徽省直机关工委党校综合教研室,安徽合肥230091

出　　处：《特区经济》2024年第10期72-75,共4页Special Zone Economy

基　　金：2023年度安徽省直机关工委党校校级课题“安徽省智能网联汽车产业提升路径研究——基于ISM与MICMAC方法”。

摘　　要：智能网联汽车的发展有利于安徽省新质生产力的构建,准确识别出安徽省智能网联汽车产业提升的影响因素,分析其作用机理,对于提升安徽智能网联汽车产业至关重要。本文通过文献分析与专家打分,筛选出12个安徽省智能网联汽车产业的主要影响因素,通过ISM模型找出各影响因素的层次和逻辑关系,并运用MICMAC法计算出各因素的驱动力和依赖性,将12个影响因素分为依赖区域、独立区域与调整因子,需要重点对独立区域各影响因素加以调控,以便更有效促进安徽省智能网联汽车产业的提升。The development of intelligent connectpd vehicles is conducive to the construction of new pro⁃ductive forces in Anhui Province.Accurately identifying the influencing factors for the improvement of An⁃hui Province’s intelligent connected vehicle industry and analyzing its mechanism of action is crucial for enhancing Anhui’s intelligent network connected vehicle industry.Through literature analysis and expert scoring,12 main influencing factors of the intelligent connected vehicle industry in Anhui Province were se⁃lected.The ISM model was used to identify the hierarchical and logical relationships of each influencing factor,and the MICMAC method was used to calculate the driving forces and dependencies of each factor.The 12 influencing factors were divided into dependent regions,independent regions,and adjustment factors.It is necessary to focus on regulating the various influencing factors in independent regions in order to more ef⁃fectively promote the improvement of the intelligent connected vehicle industry in Anhui Province.

关 键 词：安徽 智能网联汽车 影响因素 ISM MICMAC 

分 类 号：F426.471[经济管理—产业经济]