This study explores the relation between risk of job automation and participation in adult education and training (AET) and examines variation in that relation across welfare regimes distinguishing between situational and institutional barriers. Using microdata of PIAAC, we analyze participation in formal or nonformal AET for job-related reasons in relation to the risk of automation of the respondents’ occupation after controlling for main sociodemographic characteristics. Logistic regression models are run on respondents from 14 European countries representing different welfare regimes: Denmark, Norway, and Sweden (Scandinavian countries); Italy, Greece, and Spain (Southern European); Czech Republic, Slovakia, and Poland (Central and Eastern Europe), Belgium, France, and Germany (Continental); and United Kingdom and Ireland (Anglo-Saxon countries). Our findings confirm that workers in occupations at high risk of automation were found to be consistently less likely to participate in job-related AET, quite irrespective of welfare regime.

本研究探讨了工作自动化风险与参与成人教育和培训 (AET) 之间的关系，并检查了区分情境障碍和制度障碍的福利制度之间这种关系的变化。我们使用 PIAAC 的微观数据，在控制主要社会人口学特征后，分析了因工作相关原因参与正式或非正式 AET 与受访者职业自动化风险的关系。Logistic 回归模型对来自 14 个欧洲国家代表不同福利制度的受访者运行：丹麦、挪威和瑞典（斯堪的纳维亚国家）；意大利、希腊和西班牙（南欧）；捷克共和国、斯洛伐克和波兰（中欧和东欧）、比利时、法国和德国（大陆）；以及英国和爱尔兰（盎格鲁撒克逊国家）。我们的研究结果证实，无论福利制度如何，从事自动化高风险职业的工人始终不太可能参与与工作相关的 AET。