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面向新质生产力发展的政产学研协同驱动路径研究——基于数智新兴产业的组态分析

Research on the Synergistic Driving Pathways of Government-Industry-Academia-Research Collaboration for the Development of New Quality Productive Forces:A Configuration Analysis Based on Emerging Digital Intelligence Industries
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摘要 实现政产学研的融通创新是发展新质生产力过程中亟待解决的重要问题。基于TOE理论,以114家数智新兴领域的上市公司为样本,运用模糊集定性比较方法深入分析政产学研协同的驱动路径。结果显示,高新质生产力水平包括“多元多维综合驱动型、政企学协同型、企业主导型、环境支持型”四种类型。政府创新支持政策是企业突破自身条件及外界资源限制的重要驱动因素,产学研合作、学术型高管比例增强了不同主体和路径间类型化的协作机会。未来应集聚各主体协同创新合力,增强政府对创新系统的引导统筹作用,建立符合企业发展诉求的产学研供需机制,探索形成契合区域发展特征及企业禀赋优势的政产学研合作体系。 Achieving integrated innovation among government,industry,academia,and research is a crucial issue that needs to be addressed in the development of new forms of productivity.Based on the TOE framework,this study analyzes the driving paths of collaborative innovation among these sectors using a sample of 114 publicly listed companies in emerging digital intelligence fields,employing fuzzy set qualitative comparative analysis.The results indicate that high-quality productivity levels are generated through four main paths:"multi-dimensional and comprehensive driving,government-industry-academia collaboration,enterprise-led,and environment-supported".Government innovation support policies are identified as significant driving factors for companies to overcome their own limitations and external resource constraints.Collaboration between industry and academia,along with an increased proportion of academic executives,enhances the opportunities for typified cooperation among different entities and paths.In the future,it is essential to harness the collaborative innovation capabilities of all parties,strengthen the government's guiding and coordinating role in the innovation system,establish a supply-demand mechanism for industry-academia-research cooperation that aligns with the developmental needs of enterprises,and explore the creation of a distinctive government-industry-academia research cooperation system that fits regional development characteristics and leverages enterprise advantages.
作者 姜顺腾 刘惠琴 余继 JIANG Shunteng;LIU Huiqin;YU Ji(Tsinghua University,Beijing 100084)
出处 《中国高教研究》 北大核心 2024年第8期14-22,共9页 China Higher Education Research
关键词 新质生产力 政产学研协同 数智新兴产业 模糊集定性比较分析 new quality productive forces government-industry-academia-research synergy emerging digital intelligence industries Fuzzy-set Qualitative Comparative Analysis
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