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数实融合对企业创新质量的影响研究

张伟 张思齐

经济与管理研究2025,Vol.46Issue(7):128-144,17.
经济与管理研究2025,Vol.46Issue(7):128-144,17.DOI:10.13502/j.cnki.issn1000-7636.2025.07.008

数实融合对企业创新质量的影响研究

Impact of Digital-Real Integration on Enterprise Innovation Quality

张伟 1张思齐1

作者信息

  • 1. 山东大学经济学院,济南,250100
  • 折叠

摘要

Abstract

Against the background of the rapid development of the digital economy,empowering the innovative development of the real economy through the integration of the digital economy and the real economy(known as digital-real integration)is a key focus for achieving high-quality economic development.Innovation serves as the primary driver for achieving high-quality development,and high-quality innovation is essential to guiding such development.As enterprises are the main players in digital-real integration and innovation,this paper explores the impact of the integration of physical enterprises and the digital economy on innovation quality. Based on data from China's A-share listed manufacturing companies from 2011 to 2019 and relevant data on the prefectural-level digital economy,this paper constructs a digital-real integration index system from three aspects:digital economy integration,digital-real integration process,and environmental conditions for such integration.Then,it systematically investigates the impact of digital-real integration on the innovation quality of manufacturing companies and its mechanism.The results show that digital-real integration can improve enterprise innovation quality,and this positive effect is more pronounced in large-scale enterprises,state-owned enterprises,and high-tech enterprises.At the same time,enterprises located in areas with high government digital attention and open public data can promote their innovation quality by leveraging favorable external digital conditions to facilitate digital-real integration.Mechanism analysis identifies three transmission channels:enhanced R&D intensity,improved information transparency,and intensified market competition.Methodologically,this paper employs three machine learning methods,namely the random forest(RF)algorithm,the least absolute shrinkage and selection operator(LASSO),and the support vector machine(SVM),to solve benchmark results.The results still hold after conducting a series of robustness checks,including alternative innovation metrics,sample exclusion,and cluster adjustments. This paper provides empirical evidence and policy enlightenment for China to promote digital-real integration,enhance the innovation quality of manufacturing enterprises,and achieve high-quality development.The government should attach great importance to promoting the construction of digital ecosystems,facilitate the integration of digital economy factors and advanced digital technologies into all stages of enterprise production,sales,and operations,and reinforce digital infrastructure,including communication networks,data computing power,and transaction platforms.At the same time,the government should incentivize digital talents to engage in R&D activities,improve enterprise innovation efficiency,continue to deepen the strategy of opening public data,accelerate the cultivation of data factor markets,stimulate the innovation and entrepreneurship vitality of micro market players,and better promote the high-quality development of the real economy.

关键词

数实融合/创新质量/研发强度/信息透明度/市场竞争

Key words

digital-real integration/innovation quality/R&D intensity/information transparency/market competition

分类

管理科学

引用本文复制引用

张伟,张思齐..数实融合对企业创新质量的影响研究[J].经济与管理研究,2025,46(7):128-144,17.

基金项目

国家自然科学基金重大项目"数字经济反垄断理论与政策研究"(72192842) (72192842)

中央高校基本科研业务费专项资金"数字经济背景下的企业创新机制与实现路径研究"(IFYT18024) (IFYT18024)

经济与管理研究

OA北大核心

1000-7636

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