科研管理

科研管理 ›› 2025, Vol. 46 ›› Issue (2): 86-96.DOI: 10.19571/j.cnki.1000-2995.2025.02.009

• 论文 • 上一篇    下一篇

专精特新政策对供应链伙伴创新的影响研究

国文婷1,2,蓝发钦3,高正3   

  1. 1.信阳师范大学商学院，河南 信阳464000；
    2.信阳师范大学大别山区经济社会发展研究中心，河南 信阳464000；
    3.华东师范大学经济与管理学院，上海200062

  • 收稿日期:2024-02-01 修回日期:2024-11-29 出版日期:2025-02-20 发布日期:2025-02-11
  • 通讯作者: 蓝发钦
  • 基金资助:
    国家社会科学基金资助项目：“国家治理现代化视域下黄河流域绿色发展机制与路径研究”（22BZZ039, 2022.01—2025.12）；河南省哲学社会科学规划项目：“河南省专精特新中小企业高质量发展研究”（2022CJJ161, 2022.09—2025.06）。

Impact of policies for the "specialized, refined, distinctive and innovative" enterprises on the innovations of their supply chain partners

Guo Wenting1,2, Lan Faqin3, Gao Zheng3   

  1. 1. School of Business, Xinyang Normal University, Xinyang 464000, Henan China; 
    2. Research Institute of  the Economic and Social Development in the Dabie Mountains, Xinyang Normal University, Xinyang 464000, Henan China; 
    3. School of Economics and Management, East China Normal University, Shanghai 200062, China
  • Received:2024-02-01 Revised:2024-11-29 Online:2025-02-20 Published:2025-02-11

摘要：      激发各类市场主体活力是加快构建新发展格局的关键举措。然而现有研究主要关注专精特新政策对“小巨人”企业的直接效应，忽视了对其供应链伙伴的潜在影响。本文利用2008—2022年沪深A股上市公司数据，采用二阶段交错双重差分模型，深入探究专精特新政策如何影响“小巨人”企业供应链伙伴的创新。研究发现：政策会通过集聚效应和群体效应抑制供应链伙伴创新，并且该抑制效应呈现时间动态性。一方面，专精特新政策会导致货币资金和智力资本向“小巨人”企业集中，挤占供应链伙伴的创新资源；另一方面，随着专精特新政策的深入推进，供应链伙伴表现出“搭便车”心理，降低自主创新意愿。进一步分析显示，供应链伙伴较高的数字化水平和对宏观经济形势积极稳定的预期，可以有效缓解这一抑制效应、激发其创新活力，进而提升企业发展质量和供应链韧性。本研究基于供应链传导机制，构建了评估专精特新政策间接效应的理论框架，为全面认识政策效果奠定了重要的理论基础。

关键词: 专精特新政策, 供应链伙伴, 创新, 集聚效应, 群体效应

Abstract:     Stimulating the vitality of various market entities is a critical measure to accelerate the establishment of a new development paradigm. However, existing studies primarily focus on the direct effects of the policies for the "Specialized, Refined, Distinctive, and Innovative" (SRDI) enterprises on "Little Giant" enterprises, while overlooking its potential impact on their supply chain partners. Using the data from A-share listed companies in China between 2008 and 2022, this study employed a two-stage staggered difference-in-differences model to investigate how the policies for SRDI enterprises influence the innovation of supply chain partners associated with "Little Giant" enterprises. The findings revealed that the policies inhibit the innovation of supply chain partners through agglomerative effects and population effect, and such inhibitory effect exhibiting a dynamic temporal pattern. On one hand, the policies for SRDI enterprises concentrate the financial capital and intellectual resources on "Little Giant" enterprises, thereby constraining the innovation resources available to their supply chain partners. On the other hand, as the policies for SRDI enterprises progress, their supply chain partners exhibit "free-riding" behavior, reducing their incentives for independent innovation. Further analysis demonstrated that the supply chain partners with higher levels of digitalization and positive and stable expectations about macroeconomic conditions can effectively mitigate this inhibitory effect, stimulate their innovative activity, and enhance both enterprise development quality and supply chain resilience. This study constructs a theoretical framework to evaluate the indirect effects of the SRDI policy based on the supply chain transmission mechanism, providing an important theoretical foundation for a comprehensive understanding of the policy′s effects.

Key words:  policy for SRDI enterprise, supply chain partner, innovation, agglomerative effect, population effect