全要素生产率
稳健性(进化)
生产力
机器人
面板数据
工业机器人
实证研究
中国
计量经济学
经济
工程类
计算机科学
数学
统计
经济增长
人工智能
地理
基因
生物化学
考古
化学
作者
Longzheng Du,Weifen Lin
标识
DOI:10.1016/j.techsoc.2022.101932
摘要
With the development of the industrial robot, has its application promoted China's total factor productivity? Does it overcome the Solow paradox? Based on China's provincial panel data from 2006 to 2019, this study systematically examines the impact of industrial robot application on the total factor productivity in different regions. The empirical results of this study indicate: (ⅰ) there is a U-shaped relationship between the application of industrial robots and the total factor productivity, and the provinces whose industrial robot installation density exceeds the U-shaped turning point account for 61.19%; (ⅱ) for the robustness test section, we use the IV-2SLS, DOLS, FMOLS methods and replace the dependent variable to re-estimate the empirical analysis, and the results are the same as the baseline regression; (ⅲ) the transmission mechanism results show that industrial robot application promotes the total factor productivity by improving human capital and information technology, while aging has a negative effect on the total factor productivity; (iv) finally, the spatial effect test shows that the application of industrial robots on the total factor productivity has a U-shaped relationship in local areas, while it has an inverted U-shaped relationship in the neighboring regions.
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