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基础研究投入与政府研发补贴的协同创新效应研究OACHSSCD

Synergistic Effect of Basic Research Investment and Government R&D Subsidies

中文摘要英文摘要

构建科技创新的政策合力、不断提升创新支持政策效能,是破解核心技术"卡脖子"问题的关键举措.本文基于2009-2020年中国各地区创新实践以及手工整理的上市公司研发补贴和新技术投资数据,评估科技支持政策组合的协同创新效应.研究发现,基础研究投入与政府研发补贴的政策组合能够产生显著的创新效应.基础研究投入通过构建高水平的公共知识供给体系,为企业技术创新提供了源头支撑.政府研发补贴能够激励企业将公共知识成果应用于开发与产业化,降低了企业研发的不确定性与成本.进一步实证结果表明,只有具备较强技术吸收能力的企业,才能有效识别、消化并融合来自公共科研体系的知识溢出,进而将基础研究成果与企业研发活动有机结合,促进两类科技政策资源的协同增效.本文的研究结论对于政府高效地配置创新资源,提升科技支持资金的使用效能,激发创新主体的活力,实现高水平科技自立自强具有重要的政策借鉴意义.

Forging synergistic innovation policies and continuously enhancing their effectiveness are crucial to addressing the"chokepoint"issue in core technologies.This paper evaluates the synergistic effect of basic research investment and government R&D subsidies,based on the data of regional innovation practices and the manually-sorted data on R&D subsidies and new technology investments of Chinese listed companies from 2009 to 2020.The results show that combining basic research investment with government R&D subsidies generates a significant innovation effect.By building a high-quality public-knowledge pool,basic research provides enterprises' innovation with foundational inputs,while the R&D subsidies lower the risk and cost of transforming that knowledge into commercial products.Further empirical results show that only firms with strong technology-absorption capacity can effectively identify,assimilate and integrate knowledge spillovers from the public research system,thereby aligning basic research outputs with their own R&D activities and unlocking the synergistic gains of the two policy resources.The conclusions offer significant policy implications for optimizing the allocation of innovation resources,enhancing the efficiency of science-and-technology funding,invigorating innovation actors,and achieving high-level self-reliance and self-strengthening in science and technology.

刘净然;王一涵;曹晶

首都经济贸易大学经济学院首都经济贸易大学财政税务学院中国计量科学研究院

社会科学

政府研发补贴基础研究投入调节效应协同创新效应

《经济学报》 2026 (1)

108-122,15

本研究受国家社会科学基金项目:创新联合体建设背景下财政支持政策协同效应及优化策略研究(项目编号:24BJY045)的资助.

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