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数据要素与人工智能技术融合对实体经济韧性的影响效应检验

霍晓艳

统计与决策2026,Vol.42Issue(15):5-11,7.
统计与决策2026,Vol.42Issue(15):5-11,7.DOI:10.13546/j.cnki.tjyjc.2026.15.001

数据要素与人工智能技术融合对实体经济韧性的影响效应检验

Emprircal Test of The Impact of the Integration of Data Elements and Artificial Intelligence Technology on the Resilience of the Real Economy

霍晓艳1

作者信息

  • 1. 吉林财经大学 工商管理学院,长春 130000
  • 折叠

摘要

Abstract

As a new type of production factor,data can produce a value-multiplying effect through its integration with artifi-cial intelligence technology,providing new impetus for enhancing the resilience of the real economy.This paper uses the panel da-ta of 221 prefecture-level and above cities in China from 2013 to 2024 to focus on examining the impact of the integration of data elements and artificial intelligence technology on the resilience of the real economy and its mechanism.The results show that the integration of data elements and artificial intelligence technology can significantly enhance the resilience of the real economy,and this conclusion still holds after a series of robustness tests and endogeneity tests.The results of the heterogeneity analysis show that,compared with non-prvincial-capital cities and cities in the central,western and northeastern regions,the impact of the inte-gration of data elements and artificial intelligence technology on the resilience of the real economy is more significant in provincial capital cities and cities in the eastern region.The results of the mechanism test show that the integration of data elements and arti-ficial intelligence technology can not only enhance the resilience of the real economy by promoting the development of new quality productivity,but also enhance the resilience of the real economy by alleviating resource misallocation.

关键词

数据要素/人工智能技术/实体经济韧性/新质生产力/资源错配

Key words

data elements/artificial intelligence technology/resilience of the real economy/new quality productivity/re-source misallocation

分类

管理科学

引用本文复制引用

霍晓艳..数据要素与人工智能技术融合对实体经济韧性的影响效应检验[J].统计与决策,2026,42(15):5-11,7.

基金项目

吉林省教育厅人文社科研究项目(20250079) (20250079)

统计与决策

OACHSSCD

1002-6487

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