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人工智能、突破式创新与企业新质生产力

黄聃 吴云峰 刘文君

统计与决策2026,Vol.42Issue(7):162-166,5.
统计与决策2026,Vol.42Issue(7):162-166,5.DOI:10.13546/j.cnki.tjyjc.2026.07.026

人工智能、突破式创新与企业新质生产力

Artificial Intelligence,Breakthrough Innovation and New Quality Productivity of Firms

黄聃 1吴云峰 2刘文君3

作者信息

  • 1. 南京财经大学 国际经贸学院,南京 210023
  • 2. 华南理工大学 经济与金融学院,广州 510006
  • 3. 南华大学 经济管理与法学学院,湖南 衡阳 421001
  • 折叠

摘要

Abstract

China's economy has shifted from a phase of high-speed growth to one of high-quality development,and the cul-tivation of"new quality productivity"capable of breaking through factor and technological constraints has become a key starting point for enhancing the resilience of the real economy.Based on the data of"specialized,refined,distinctive and innovative"listed enterprises on the Shanghai and Shenzhen A-share markets from 2013 to 2023,this paper uses dual machine learning models and multiple econometric methods to explore the impact effect of artificial intelligence on the new quality productivity of"specialized,refined,distinctive and innovative"enterprises and its action channels.The research findings are shown as below:In terms of im-pact effect,artificial intelligence significantly enhances the new quality productivity of"specialized,refined,distinctive and inno-vative"enterprises,and this influence effect is more pronounced among specialized,refined,distinctive and innovative small and medium-sized enterprises,specialized,refined,distinctive and innovative"little giants",individual-event champion enterprises,manufacturing enterprises and enterprises with lower financing constraints.In terms of mechanism of action,artificial intelligence promotes the development of new quality productivity of enterprises by promoting the scale and quality improvement of break-through innovation.

关键词

新质生产力/人工智能/"专精特新"企业/突破式创新/赶超效应

Key words

new quality productivity/artificial intelligence/specialized,refined,distinctive and innovative firms/break-through innovation/catch-up effect

分类

管理科学

引用本文复制引用

黄聃,吴云峰,刘文君..人工智能、突破式创新与企业新质生产力[J].统计与决策,2026,42(7):162-166,5.

基金项目

国家社会科学基金一般项目(25BJY121) (25BJY121)

统计与决策

OACHSSCD

1002-6487

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