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 2022/10/27
発表テーマ Automation and Unemployment in a Fair-Wage Model
会議名 神戸大学 六甲フォーラム（共催：六甲台マクロ・セミナーRoMacS）
学会区分 研究会・シンポジウム等
発表形式 口頭（一般）
単独共同区分 共同
開催地名 神戸大学
開催期間 2022/10/15～2022/10/15
発表者・共同発表者 Takayuki Ogawa（発表者） and Ryosuke Shimizu
概要 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 factors increase unemployment.
researchmap用URL http://www.econ.kobe-u.ac.jp/activity/seminar/rokko/index.html
researchmap用URL2 https://romacs.github.io/