摘要
文章运用TOE理论框架建立数实经济深度融合影响因素指标体系,采用ISM-ANP-MICMAC模型对数实经济融合影响因素的网络层级、优先级、驱动力及依赖性进行剖析,结果表明:数实经济深度融合影响因素之间存在着紧密且复杂的关联关系,影响因素网络层级结构中包含表层直接、中层过渡、深层关键及根层决定四个层次,优先级排序中数字技术创新、人才资源、基础设施、政府行为属于核心关键因素,数据要素、网络安全、国际合作、营商环境、数字化产业、数字经济治理属于次要因素,数字社会、数字政府、产业数字化因素驱动力较弱,但依赖性极强.基于此对数实经济融合提出短中长期发展对策,及时疏通融合路径中的急、难、重点,为推动数实经济深度融合高质量发展提供理论指导.
Abstract
This article uses the TOE theoretical framework to establish an indicator system for the influencing factors of deep integration of digital and real economies.The ISM-ANP-MICMAC model is used to analyze the network hierarchy,priority,driving force,and dependence of the influencing factors of deep integration of digital and real economies.The results show that a close and complex correlation exists between the influen-cing factors for deep integration of digital and real economies.Their network hierarchy structure includes four levels:the network hierarchy structure of the influencing factors includes surface direct,middle transition,deep key,root determine four levels.In the priority ranking,digital technology innovation,talent resources,infrastructure,and government behavior are key factors,while data elements,network security,international cooperation,business environment,digital industry,and digital economic governance are secondary factors.Digital society,digital government,and industrial digitization are all weak in driving force,but highly de-pendent.Based on this,this study proposes short-,medium-,and long-term development strategies for in-tegrating the digital and real economies,which can timely unblock the urgent,difficult,and key points in the integration path,and provide theoretical guidance for promoting the quality development of deep integration of the digital and real economies.
基金项目
河北省社会科学发展研究课题(2023)(202307057)
雄安新区哲学社会科学研究课题(XASK20221101)
维普
万方数据