江西财经大学学报 ›› 2026, Vol. 0 ›› Issue (1): 37-49.

• 企业创新专题 • 上一篇    下一篇

国家重点研发计划对制造业企业全要素生产率的影响研究——基于开放式创新和资源配置的视角

张自然1,2, 宋萍萍2, 海梅红2   

  1. 1.中国社会科学院 经济研究所,北京 100836;
    2.中国社会科学院大学 经济学院,北京 102488
  • 收稿日期:2025-03-22 修回日期:2025-12-10 出版日期:2026-01-25 发布日期:2026-02-09
  • 通讯作者: 宋萍萍,中国社会科学院大学博士研究生,主要从事技术进步与经济增长研究,联系方式 songpingping131@163.com。
  • 作者简介:张自然,中国社会科学院研究员,中国社会科学院大学教授,经济学博士,博士生导师,主要从事城市化、技术进步与经济增长研究;海梅红,中国社会科学院大学博士研究生,主要从事技术进步与经济增长研究。
  • 基金资助:
    国家社会科学基金重点项目“降碳、减污、扩绿、增长协同推进的理论与实践研究”(24AZD074)

Study on the Impact of the National Key R&D Programs on the Total Factor Productivity in Manufacturing Enterprises: From the Perspectives of Open Innovation and Resource Allocation

Zhang Zi-ran1,2, Song Ping-ping2, Hai Mei-hong2   

  1. 1. Chinese Academy of Social Sciences, Beijing 100836;
    2. University of Chinese Academy of Social Sciences, Beijing 102488, China
  • Received:2025-03-22 Revised:2025-12-10 Online:2026-01-25 Published:2026-02-09

摘要: 国家重点研发计划是坚持创新驱动发展的具体举措,全要素生产率是衡量企业向创新驱动转型的重要标准,国家重点研发计划对企业全要素生产率的影响效应有待科学评估。基于2011—2023年A股主板制造业企业数据,使用交错双重差分模型的实证研究表明,国家重点研发项目对制造业企业全要素生产率有显著的提高作用,该作用通过促进开放式创新、改善资源配置双重机制得以实现。其中,改善资源配置包括优化注意力资源配置、人才配置和资本配置。同时,该作用因行业和企业特征不同表现出异质性。为此,应进一步提高企业在国家重点研发计划中的承担比例,深化产学研协同创新,拓宽公众监督渠道,构建分层分类的多元化资助体系,以充分发挥国家重点研发计划的作用。

关键词: 国家重点研发计划, 开放式创新, 资源配置, 全要素生产率

Abstract: The National Key R&D Programs of China represents a concrete measure to uphold innovation-driven development, while total factor productivity serves as a key metric for evaluating enterprises' transition toward innovation-driven growth. The impact of the National Key R&D Programs of China on enterprises' total factor productivity requires scientific assessment. Based on the data of manufacturing enterprises on the A-share main board from 2011 to 2023, this paper conducts an empirical study by using the staggered double difference model. The findings show that national key R&D projects have a significant effect on improving the total factor productivity of manufacturing enterprises. This effect is achieved through promoting open innovation and improving the dual mechanism of resource allocation. Among them, improving resource allocation includes increasing attention resource allocation, talent allocation, and capital allocation. Meanwhile, this effect exhibits heterogeneity due to the differences in industries and in enterprise characteristics. To this end, it is necessary to further increase the proportion of enterprises' participation in national key R&D programs, deepen collaborative innovation between industry, academia, and research institutes, broaden public supervision channels, and build a diversified funding system with hierarchical classification to fully leverage the role of national key R&D programs.

Key words: national key R&D programs of China, open innovation, resource allocation, total factor productivity

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