机器人
劳动经济学
自动化
职业教育
偏移量(计算机科学)
业务
质量(理念)
产业组织
经济
计算机科学
工程类
人工智能
经济增长
机械工程
哲学
认识论
程序设计语言
作者
Wolfgang Dauth,Sebastian Findeisen,Jens Suedekum,Nicole Woessner
摘要
Abstract We use detailed administrative data to study the adjustment of local labor markets to industrial robots in Germany. Robot exposure, as predicted by a shift-share variable, is associated with displacement effects in manufacturing, but those are fully offset by new jobs in services. The incidence mostly falls on young workers just entering the labor force. Automation is related to more stable employment within firms for incumbents, and this is driven by workers taking over new tasks in their original plants. Several measures indicate that those new jobs are of higher quality than the previous ones. Young workers also adapt their educational choices, and substitute away from vocational training towards colleges and universities. Finally, industrial robots have benefited workers in occupations with complementary tasks, such as managers or technical scientists.
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