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数据要素联动、政策赋能与制造企业技术创新

许月丽 肖炜诚

统计与决策2024,Vol.40Issue(16):161-167,7.
统计与决策2024,Vol.40Issue(16):161-167,7.DOI:10.13546/j.cnki.tjyjc.2024.16.029

数据要素联动、政策赋能与制造企业技术创新

Data Factor Linkage,Policy Empowerment,and Technological Innovation of Manufacturing Enterprises

许月丽 1肖炜诚2

作者信息

  • 1. 广东外语外贸大学 经济贸易学院,广州 510006
  • 2. 汕头大学 商学院,广东 汕头 515800
  • 折叠

摘要

Abstract

Based on the sample of China's 9085 manufacturing enterprises in 2020,this paper examines the influencing mechanism and heterogeneity of technological innovation of China's manufacturing enterprises driven by the linkage of data fac-tors and policy empowerment.The results show that the digital transformation of manufacturing enterprises has an innovation-driv-en effect and is further strengthened by industrial policies,and that the policy empowerment effect of deep digital transformation is more significant,which can effectively resist external shocks,showing economies of scale and regional imbalance.Mechanism analysis shows that digital transformation promotes technological innovation through the linkage mechanism of data factors across multiple business units,and that industrial policy enables digital innovation of manufacturing enterprises through resource supply and institutional coordination mechanism.

关键词

制造企业/数字化转型/技术创新/产业政策/数据要素

Key words

manufacturing enterprise/digital transformation/technological innovation/industrial policy/data factors

分类

管理科学

引用本文复制引用

许月丽,肖炜诚..数据要素联动、政策赋能与制造企业技术创新[J].统计与决策,2024,40(16):161-167,7.

基金项目

国家社会科学基金重点项目(23AJY013) (23AJY013)

广东省自然科学基金资助项目(2024A1515010297) (2024A1515010297)

统计与决策

OA北大核心CHSSCDCSSCICSTPCD

1002-6487

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