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The impact of industrial robots on export stability

Hua Zhou, Jiachen Fan, Tian Gan

Year
2024
Citations
7

Abstract

Abstract The application of industrial robots has emerged as a significant influencing factor on international trade. Based on product export stability data from 49 major exporting countries and corresponding industrial robot application data between 2010 and 2019, this study investigates the impact and mechanisms of industrial robot application on export stability in these countries. The findings demonstrate that the application of industrial robots enhances export stability. The mechanism results indicate that the application of industrial robots principally impacts trade stability by lowering export costs and raising the technological complexity of export products. Moreover, this effect can be enhanced by increased financial development, an innovative environment, and the empowerment of women. This study provides valuable policy implications for advancing the application of industrial robots and improving export stability.

Keywords

Stability (learning theory)RobotComputer scienceArtificial intelligenceMachine learning

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