首页|New Artificial Intelligence Findings Reported from Hefei University of Technology (Does Artificial Intelligence Promote Firms’ Innovation Efficiency: Evidence From the Robot Application)
New Artificial Intelligence Findings Reported from Hefei University of Technology (Does Artificial Intelligence Promote Firms’ Innovation Efficiency: Evidence From the Robot Application)
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Springer Nature
Investigators publish new report on Artificial Intelligence. According to news originating from Hefei, People’s Republic of China, by NewsRx correspondents, research stated, “While artificial intelligence (AI) is widely acknowledged as a transformative technology with the potential to boost productivity, there is limited understanding of its specific impact on firm innovation efficiency. This study leverages robot data from the International Federation of Robotics (IFR) and detailed data on Chinese manufacturing firms spanning 2015 to 2019.” Financial support for this research came from National Natural Science Foundation of China (NSFC). Our news journalists obtained a quote from the research from the Hefei University of Technology, “The analysis utilizes the Data Envelopment Analysis (DEA) method to evaluate firms’ innovation efficiency and employs the Tobit model to examine the influence of AI on innovation efficiency. Furthermore, the study delves into the heterogeneity of this impact by considering variations in firm ownership, industries, and regions and explores the mechanisms through which AI affects innovation efficiency. The findings demonstrate that AI application significantly enhances firms’ innovation efficiency, a result that holds robustly even after employing alternative AI proxies and instrumental variable regression. Moreover, the positive effects of AI adoption are primarily observed in state-owned enterprises, traditional manufacturing industries, and developed cities. Further analyses indicate that AI adoption modifies human capital, innovation patterns, and the market environment, thereby influencing innovation efficiency.”
HefeiPeople’s Republic of ChinaAsiaArtificial IntelligenceEmerging TechnologiesMachine LearningRobotRoboticsTechnologyHefei University of Technology
NETL
NSTL
Springer Nature
