• 中国科学学与科技政策研究会
  • 中国科学院科技政策与管理科学研究所
  • 清华大学科学技术与社会研究中心
ISSN 1003-2053 CN 11-1805/G3

科学学研究 ›› 2024, Vol. 42 ›› Issue (6): 1322-1333.

• 技术创新与制度创新 • 上一篇    下一篇

政府注意力配置强度对芯片技术创新的影响———基于市级《政府工作报告》的文本分析

柯迪1,贾西猛2,李园园3,段珅4   

  1. 1. 中国民航大学
    2. 四川大学
    3. 山西财经大学
    4. 中国人民大学商学院
  • 收稿日期:2023-06-05 修回日期:2023-08-21 出版日期:2024-06-15 发布日期:2024-06-15
  • 通讯作者: 贾西猛
  • 基金资助:
    基于私人关系的风险投资家与创业企业家合谋行为研究:表现、机制与治理”;合谋视角下的风险投资与企业创新行为研究: 影响、机理与治理;跨层次环境下开放式创新驱动天津市制造业企业 转型路径研究

The Impact of Government Attention Allocation Intensity on Chip Technology Innovation ——Text Analysis Based on Municipal "Government Work Report"

  • Received:2023-06-05 Revised:2023-08-21 Online:2024-06-15 Published:2024-06-15
  • Contact: meng xijia

摘要: 芯片是数字经济时代产业发展的基石,相关技术创新关乎经济高质量发展和国家战略安全,然而关于政府如何引导区域芯片技术创新的研究却较为匮乏。基于注意力理论,以2013-2021年全国281个地级市为研究样本,实证检验政府注意力配置强度对区域芯片技术创新产出的影响。结果表明:政府注意力配置强度能够显著提高区域芯片技术创新水平;政府注意力配置强度对芯片创新的积极影响在市场化环境好的地区中得到进一步的加强;地方财政透明度正向调节了政府注意力配置强度对区域芯片创新产出的影响。通过替换因变量、PSM检验、两阶段最小二乘回归等稳健性检验,研究结论依然成立。研究结论为地方政府合理配置注意力资源,促进区域芯片创新高质量发展提供了政策启示。

Abstract: The chip has emerged as a cornerstone of industrial development in the digital economy era, and its associated technological innovation is crucial for promoting high-quality economic growth and ensuring national strategic security. However, research on the role of government in guiding regional chip technology innovation remains scarce. Based on attention theory, this study empirically examines the impact of government attention allocation intensity on regional chip technology innovation output, using a sample of 281 prefecture-level cities across China from 2013-2021. The results indicate that government attention allocation intensity can significantly enhance regional chip technology innovation. The positive impact of government attention allocation intensity on chip innovation is further strengthened in regions with good market-oriented environments. Additionally, local fiscal transparency positively moderates the effect of government attention allocation intensity on regional chip innovation output. These findings are robust to various tests, including replacing the dependent variable, PSM test, and two-stage least squares regression. The study’s conclusions offer important policy implications for local governments seeking to allocate resources effectively and promote high-quality regional chip innovation in a context where attention is limited.