数字创新生态系统驱动新质生产力发展的组态路径研究

Research on the configuration path for the development of new quality productivity driven by digital innovation ecosystem

数字创新生态系统的优化配置对于发展新质生产力具有重要意义。本文基于数字创新生态系统理论,运用QCA、NCA和DEA方法,以中国30个省份为研究对象,探究数字创新生态系统驱动新质生产力发展的复杂因果机制及组态路径。研究发现:(1)数字创新生态系统中单个前因条件均不可作为促进新质生产力发展的必要条件,需要通过联动组合的方式协同驱动;(2)识别出4种促进新质生产力发展的组态路径,包括:“数据要素驱动的基础前沿创新”模式、“数据要素驱动的企业-用户共创”模式、“数字政策驱动的用户开放式创新”模式、“数据要素-数字政策共同驱动的多元协同创新”模式,其呈现出非对称性的“殊途同归”特征。(3)企业应用创新能力薄弱是限制新质生产力发展的重要因素。本研究有助于揭示数字创新生态系统中新质生产力形成机制的“黑箱”,为我国因地制宜推动新质生产力发展提供理论与实践启示。

The optimal allocation of digital innovation ecosystems is of great significance for the development of new quality productive forces.Based on the theory of digital innovation systems,this paper used the QCA,NCA and DEA methods to explore the configuration paths through which digital innovation ecosystems drive the development of new quality productive forces,focusing on the 30 provincial-level regions in China.The study found that:First,no single antecedent condition within the digital innovation ecosystem can be regarded as the necessary condition to promote the development of new quality productive forces;instead,it needs to be driven synergistically through a co-development combination.Second,four configurations that promote the development of new quality productive forces are identified:the"data-driven foundational frontier innovation"model,the"data-driven enterprise-user co-creation"model,the"digital policy-driven user open innovation"model,and the"data and digital policy jointly driven diversified collaborative innovation"model,all exhibiting asymmetrical characteristics that"all roads lead to Rome".Third,weak enterprise application innovation capability is a significant factor limiting the development of new quality productive forces.This research helps reveal the"black box"mechanism of new quality productive forces formation within digital innovation ecosystems,thus providing theoretical and practical insights for promoting the development of new quality productive forces in China according to local conditions.