机器人
生产力
汽车工业
溢出效应
劳动经济学
工资
数字化
经济
自动化
产业组织
业务
工程类
计算机科学
微观经济学
经济增长
人工智能
航空航天工程
机械工程
电信
作者
John Y. L. Chung,Yong Suk Lee
标识
DOI:10.1177/00197939221137822
摘要
The authors examine the impact of industrial robots on US labor markets between 2005 and 2016. Because some industries adopt robots more intensively, growth in robot stocks more heavily affect local labor markets with larger employment shares in those industries. This robot exposure variation occurs across 722 commuting zones in the continental United States. Analyzing the five-year intervals within this period, the authors find that robot exposure reduces employment in the earlier periods but augments employment in the more recent periods. Similarly, the effect of robot exposure on the local wage is initially negative but gradually rebounds and turns positive in more recent years. The evolving influence of robots is primarily driven by the automotive industry, in which digitization and automation have not only increased labor productivity but also created new tasks. Findings show evidence of spillover effects on other industries within and outside of manufacturing, which may be explained by input-output linkages and aggregate demand effects.
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