オガワ　タカユキ   OGAWA Takayuki
  小川　貴之
   所属   大阪経済大学  経済学部 経済学科
   職種   教授
発表年月日 2023/09/16
発表テーマ Automation and Unemployment in a Fair-Wage Model
会議名 日本経済学会 2023年度秋季大会
学会区分 全国学会
発表形式 口頭（一般）
単独共同区分 共同
開催地名 関西大学
開催期間 2023/09/16～2023/09/17
発表者・共同発表者 Takayuki Ogawa and Ryosuke Shimizu（発表者）
概要 This paper introduces a fair wage consideration of human labor into a task-based model of automation. Unlike machines, workers' productivity is affected by whether they are fairly treated by their employers. Wages are thus raised over the marketclearing 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 effort contributes to labor productivity, so that wages and labor employment levels are not uniform across tasks. We show that (i) the progress of automation takes jobs in each level of tasks but 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 welfare-improving even if it worsens unemployment; and (iii) the subsidy for labor employment enhances welfare but unemployment benefits do not, while both policies increase unemployment.
researchmap用URL https://www.jeaweb.org/meetings