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作 者:黄美忠 王秀丽 沈青 韩晶 HUANG Meizhong;WANG Xiui;SHEN Qing;HAN Jing(School of Information Engineering,Wuhan Business University,Wuhan Hubei 430050,China;School of Tourism Management,Wuhan Business University,Wuhan Hubei 430050,China)
机构地区:[1]武汉商学院信息工程学院,湖北武汉430050 [2]武汉商学院旅游管理学院,湖北武汉430050
出 处:《技术经济与管理研究》2025年第4期56-61,共6页Journal of Technical Economics & Management
基 金:教育部中国高校产学研创新基金项目(2023ZY017)。
摘 要:在理论分析基础上,从抗干扰能力和恢复创新力维度构建高技术产业链韧性指数,并选取2011—2022年中国高技术产业上市企业微观数据,实证检验人工智能对高技术产业链韧性的影响机制与路径。结果表明:整体上人工智能可增强高技术产业链韧性,且二者之间呈现非线性的“N”型关系,这一结论在经过内生性处理与稳健性检验后依然成立。异质性检验结果发现,人工智能与高技术产业链韧性间的“N”型关系在不同数字经济发展水平下表现出显著异质性。传导机制检验结果表明,人工智能可通过赋能新质生产力发展增强高技术产业链韧性。研究为新发展格局下政府和企业更好释放人工智能红利效应,进而提升高技术产业链韧性水平提供了重要启示。Based on theoretical analysis,this article constructs a resilience index for high-tech industry chains from the dimensions of anti-interference ability and recovery innovation ability,and empirically tests the impact mechanism and path of artificial intelligence on the resilience of high-tech industry chains using micro data of Chinese listed companies from 2011 to 2022.The results indicate that overall,artificial intelligence can enhance the resilience of high-tech industry chains,and there is a non-linear“N”-shaped relationship between the two.This conclusion still holds true after endogeneity treatment and robustness testing.The heterogeneity test results showed that the“N”-shaped relationship between artificial intelligence and the resilience of high-tech industry chains exhibited significant heterogeneity under different levels of digital economy development.The results of the transmission mechanism test indicate that artificial intelligence can enhance the resilience of high-tech industrial chains by empowering the development of new quality productivity.This study provides important insights for the government and enterprises to better unleash the dividend effect of artificial intelligence under the new development pattern,and thereby enhance the resilience level of high-tech industrial chains.
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