智能化与制造业企业创新

李逸飞¹苏盖美²牛芮³王康³

（1. 管理世界杂志社；2. 中国社会科学院大学商学院；3. 北京工商大学数学与统计学院）

　　内容提要：通过智能化实现制造业企业创新对经济高质量发展有重要意义。本文基于2014—2019年北京海淀科技园数据集，探讨智能化实施对制造业企业创新的影响，并从创新效率、产学研合作网络挖掘作用机制。研究结果显示：实施智能化能够显著提高制造业企业的创新能力，创新效率、产学研合作起着明显的中介机制作用，人力资本有正向的调节作用。进一步分析结果表明，外资企业和民营企业的智能化转型效果优于国有企业；与新型制造业相比，传统制造业企业的智能化效果不理想。本文研究结果表明，智能化与创新活动有良性的互动，应重视传统制造业的智能化转型升级，优化创新资源配置，促进制造业融通创新，这些都有助于新发展阶段下智能制造的提质增效。

　　

　　关键词：智能化；制造业企业；产学研；创新效率；高质量发展；数智化

　　

　　作者简介：李逸飞，管理世界杂志社副研究员，北京，100026；苏盖美，中国社会科学院大学商学院博士研究生，通信作者，北京，102488；牛芮，北京工商大学数学与统计学院硕士研究生，北京，100048；王康，北京工商大学数学与统计学院副教授。

　　基金项目：国家社会科学基金后期资助项目“数字化赋能企业高质量发展：基于‘五力’框架的研究”（22FJLB004）

　　引用格式：李逸飞,苏盖美,牛芮等.智能化与制造业企业创新[J].经济与管理研究,2023,44(8):3-16.DOI:10.13502/j.cnki.issn1000-7636.2023.08.001.

　　

　　

Intelligentization and Manufacturing Firm Innovation

LI Yifei¹, SU Gaimei², NIU Rui³, WANG Kang³

(1. Editorial Office of Journal of Management World, Beijing 100026;

2. University of Chinese Academy of Social Sciences,Beijing 102488；

3.Beijing Technology and Business University, Beijing 100048)

　　

　　Abstract: Intelligent manufacturing is the pivot for innovation and development, the primary means of transforming and upgrading manufacturing, and the main direction for building manufacturing power. Therefore, enhancing the innovation efficiency of intelligentization in small and medium-sized enterprises is crucial to promoting high-quality economic development in the new development stage. Further quantitative research is necessary to examine the impact of intelligentization on the innovation of micro, small and medium-sized enterprises (MSMEs).

　　This paper examines samples of MSMEs in the Haidian Science and Technology Park in Beijing in Beijing  from 2014 to 2019. It investigates how intelligentization triggers endogenous reform of innovation and delves into its impact on firm innovation.The mechanism of intelligentization is analyzed from the perspective of innovation efficiency and the industry-university-research cooperation, and the internal circumstances of the impact of intelligence application are investigated from the perspective of human capital. Furthermore, this paper also evaluates the heterogeneity of intelligentization on different industrial firms.

　　The findings indicate that intelligentization can significantly enhance the innovation capability of manufacturing firms. This conclusion remains valid after replacing independent variables, drawing counterfactual inferences, and conducting robustness tests. The mechanism demonstrates that intelligentization can improve firms’ innovation efficiency and facilitate the network of industry-university-research cooperation, and the effectiveness of intelligentization requires the support of human capital conditions. Further investigation reveals that private and foreign-funded enterprises perform better in intelligentization than state-owned enterprises, while traditional manufacturing firms show unsatisfactory effects.

　　This paper makes marginal contributions in the following aspects. On the one hand, it constructs a theoretical framework to examine thoroughly the profound impact of intelligentization on innovation from the perspective of the innovation process. It is argued that intelligentization can significantly enhance innovation efficiency, yielding substantial effects on innovation. In terms of the innovation mode, the paper investigates the transformation of open innovation of firms empowered by intelligentization from the industry-university-research cooperation. On the other hand, it uses data from the Haidian Science and Technology Park. This dataset covers large, medium, small, and micro manufacturing firms, and the sample is relatively homogeneous. Additionally, it offers innovation indicators that enable the analysis of innovation efficiency and the network of industry-university-research cooperation, presenting notable benefits in the research on innovative practices of manufacturing firms.

　　Keywords: intelligentization; manufacturing firm; industry-university-research cooperation; innovation efficiency; high-quality development; digintelligence