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
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.
new quality productive forcesgovernment-industry-academia-research synergyemerging digital intelligence industriesFuzzy-set Qualitative Comparative Analysis
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