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数字经济与制造业深度融合的系统耦合互动研究

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数字经济与制造业的融合发展,能够有效提升制造业的自动化、智能化和数字化水平,同时制造业也为数字经济的发展提供了具体支撑和应用空间.对数字经济与制造业融合阶段的理论模型和融合机理进行分析,建立了数字经济与制造业深度融合发展的指标体系.研究中运用熵值法、耦合协调模型、灰色关联模型分析2012-2021年中国30个省份的数字经济与制造业两个系统耦合协调度的时空差异及其驱动因素.研究结果表明,数字经济与制造业的融合发展是漫长复杂的过程,因此在对数字经济与制造业进行科学测度的同时,也需要通过加强驱动要素的投入以促进数字经济与制造业的发展.
Research on System Coupling and Interaction for Deep Integration of Digital Economy and Manufacturing Industry
The integration and development of the digital economy and manufacturing industry can effectively enhance the automation,intelligence,and digitalization level of the manufacturing industry.At the same time,the manufacturing industry also provides specific support and application space for the development of the digital economy.An analysis was conducted on the theoretical model and integration mechanism of the integration stage between the digital economy and manufacturing industry,and an indicator system for the deep integration development of the digital economy and manufacturing industry was established.In the study,entropy method,coupling coordination model,and grey correlation model were used to analyze the spatiotemporal differences and driving factors of the coupling coordination degree between the digital economy and manufacturing systems in 30 provinces of China from 2012 to 2021.The research results indicate that the integration and development of the digital economy and manufacturing industry is a long and complex process.Therefore,it is necessary to strengthen the investment of driving factors to promote the development of digital economy and manufacturing industry while conducting scientific measurement of digital economy and manufacturing industry.

digital economymanufacturing industryintegrated developmentsystem coupling

任保平、贺海峰

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南京大学数字经济与管理学院,江苏南京 215163

西北大学经济管理学院,陕西西安 710127

数字经济 制造业 融合发展 系统耦合

2024

贵州财经大学学报
贵州财经学院

贵州财经大学学报

CSTPCDCSSCICHSSCD北大核心
影响因子:1.122
ISSN:1003-6636
年,卷(期):2024.(4)