Effects of automation and human investment on skill premium

Kenichiro Ikeshita
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Abstract

Economists and policymakers in many developed countries regard digitalization and robotic automation as drivers of increased productivity and economic growth. However, these innovations increase the wage gap (skill premium) between unskilled and information technology (IT)-skilled workers. This study examines the effects of technological innovations in automation and development of IT-skilled human resources on economic growth and skill premiums. It combines a task-based approach with a simple two-sector growth model to analyze the impact of automation on economic development and skill premiums. The study's dynamic model reproduces the changes in the skill premium and labor share in the United States since the 1970s. In addition, technological innovation in automation promotes task automation not only in the short run but also in the long run, increasing total output and skill premiums. Regarding IT education for human resource, an optimal level of IT education exists that maximizes production and minimizes the skill premium in the steady state.
自动化和人力投资对技能溢价的影响
许多发达国家的经济学家和政策制定者将数字化和机器人自动化视为提高生产率和经济增长的驱动力。然而,这些创新增加了非技术工人和信息技术(IT)熟练工人之间的工资差距(技能溢价)。本研究探讨自动化技术创新与资讯科技人力资源发展对经济成长与技能溢价的影响。它将基于任务的方法与简单的两部门增长模型结合起来,分析自动化对经济发展和技能溢价的影响。该研究的动态模型再现了自20世纪70年代以来美国技能溢价和劳动力份额的变化。此外,自动化领域的技术创新不仅在短期内,而且在长期内促进了任务自动化,增加了总产出和技能溢价。对于人力资源的IT教育而言,在稳定状态下,存在一个产量最大化、技能溢价最小化的最佳IT教育水平。
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