机构地区:[1]中南民族大学管理学院 [2]南京大学经济学院
出 处:《中国工业经济》2024年第9期100-117,共18页China Industrial Economics
基 金:国家社会科学基金重大项目“中国深度参与全球创新链治理的机制、路径与政策研究”(批准号20&ZD123);国家自然科学基金面上项目“中国制造业关键核心技术突破及实现路径研究”(批准号72073061)。
摘 要:在当前全球科技竞赛的激烈角逐中,快速推动关键核心技术创新并抢占技术先机,成为各国科技竞争的关键。本文基于组合创新逻辑,将关键核心技术的组合创新过程纳入传统经济学的一般均衡框架,依托企业授权专利数据构建其技术网络,从而聚焦技术网络规模、集聚度以及密度三项核心结构特征,深入剖析这些特征如何独立及交互作用于关键核心技术的创新速度。研究发现,企业技术网络的规模与关键核心技术创新速度之间呈倒U型关系。机制分析表明,企业技术网络规模通过改变组合创新过程影响了企业关键核心技术的创新速度。企业技术网络规模的扩大,一方面促进了组合创新规模(以网络连边数量和边权数量为表征)的持续增长,另一方面引发了组合创新效率(以网络连边增长率和边权增长率为表征)的非线性变化。这两种变化的叠加效应最终导致技术网络规模与关键核心技术创新速度之间呈倒U型关系。进一步研究发现,企业技术网络的集聚度正向调节了技术网络规模与关键核心技术创新速度之间的关系,而技术网络的密度却负向调节了二者之间的关系。本文的政策启示是:为加快推进关键核心技术攻关,企业需重视组合在创新中的重要性,既要着力优化内部创新资源结构,力求达到研发投入与技术网络规模的最佳配比,又要综合技术网络的集聚度和密度,合理估量企业创新潜能,科学制定创新战略。The global landscape encompassing politics,economics,and technology is undergoing a rapid and profound restructuring,with technological competition emerging as a pivotal force in reshaping the world order and guiding future progress.Countries are vigorously pursuing technological advancements in pivotal domains to secure a competitive edge on the international stage.Amidst this intense global technology race,accelerating the pace of innovation in core technologies and quickly seizing technological opportunities have become the cornerstone strategies for countries.This article innovatively integrates pivotal structural facets like scale,agglomeration,and density within technology networks into the established framework of economic equilibrium analysis,thereby crafting a novel model for the combination innovation of key core technologies.It delves deeper into the intricate interplay and mechanisms through which the structural attributes of corporate technology networks influence the pace of innovation in these key core technologies.Concurrently,matching the Annual Survey of Industrial Enterprises data from 2000 to 2015 with corresponding patent data,the paper constructs enterprises’internal technology networks with international patent classification codes as nodes and technology combination relationships as edges.These intricate networks serve as the basis for meticulously measuring pertinent network structural indicators,which are then subjected to rigorous empirical testing.This article finds an intriguing inverted U-shaped correlation between the scale of enterprise technology networks and the velocity of innovation in key core technologies.Within a specific threshold range,the expansion of these networks fosters an acceleration in the pace of innovation for key core technologies.However,further expansion paradoxically hinders innovation speed once the network size surpasses this threshold.A mechanism analysis reveals that the scale of enterprise technology networks modulates the innovation speed of key core
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