所属 大阪経済大学 経済学部 経済学科 職種 教授
|Automation and Unemployment in a Fair–Wage Model
|青山学院大学 経済学部 経済研究所 ワーキングペーパー
|青山学院大学 経済学部 経済研究所
|Takayuki Ogawa and Ryosuke Shimizu
|This paper introduces a psychological aspect of human labor into a task-based model of production automation. Unlike machines, workers' productivity is affected by whether they are fairly treated by their employers. Wages are thus raised over the market-clearing level to elicit workers' effort, and unemployment inevitably arises. A key feature of our model is to allow for heterogeneity across tasks in regard to how much workers' effort contributes to labor productivity, so that wages and labor employment levels are not uniform across tasks. In this setting, we show that (i) the progress of automation takes jobs in each level of tasks but may or may not decrease the aggregate labor demand depending on the wage settings in the tasks hiring human labor; (ii) the subsidy for machine use is beneficial in terms of welfare even if it worsens unemployment; and (iii) the subsidy for labor employment enhances welfare but unemployment benefits do not, while both policies increase unemployment.