Sebastian Poledna, Nikita Strelkovskii, Alessandra Conte, Anne Goujon, Joanne Linnerooth-Bayer, Michele Catalano, Elena Rovenskaya
{"title":"奥地利移民对经济和劳动力市场的影响:基于代理的建模方法。","authors":"Sebastian Poledna, Nikita Strelkovskii, Alessandra Conte, Anne Goujon, Joanne Linnerooth-Bayer, Michele Catalano, Elena Rovenskaya","doi":"10.1186/s40878-024-00374-3","DOIUrl":null,"url":null,"abstract":"<p><p>This study examines the potential economic and labour market impacts of a hypothetical but plausible migration scenario of 250,000 new migrants inspired by Austria's experience in 2015. Using the agent-based macroeconomic model developed by Poledna et al. (Eur Econ Rev, 151:104306, 2023. 10.1016/j.euroecorev.2022.104306, the study explores the detailed labour market outcomes for different groups in Austria's population and the macroeconomic effects of the migration scenario. The analysis suggests that Austria's economy and labour market have the potential to be resilient to the simulated migration influx. The results indicate a positive impact on GDP due to increased aggregate consumption and investment. The labour market experiences an increase in the unemployment rates of natives and previous migrants. In some industries, the increase in the unemployment rates is more significant, potentially indicating competition among different groups of migrants. This research provides insights for policymakers and stakeholders in Austria and other countries that may face the challenge of managing large-scale migration in the near future.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1186/s40878-024-00374-3.</p>","PeriodicalId":37051,"journal":{"name":"Comparative Migration Studies","volume":"12 1","pages":"18"},"PeriodicalIF":4.3000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10965602/pdf/","citationCount":"0","resultStr":"{\"title\":\"Economic and labour market impacts of migration in Austria: an agent-based modelling approach.\",\"authors\":\"Sebastian Poledna, Nikita Strelkovskii, Alessandra Conte, Anne Goujon, Joanne Linnerooth-Bayer, Michele Catalano, Elena Rovenskaya\",\"doi\":\"10.1186/s40878-024-00374-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This study examines the potential economic and labour market impacts of a hypothetical but plausible migration scenario of 250,000 new migrants inspired by Austria's experience in 2015. Using the agent-based macroeconomic model developed by Poledna et al. (Eur Econ Rev, 151:104306, 2023. 10.1016/j.euroecorev.2022.104306, the study explores the detailed labour market outcomes for different groups in Austria's population and the macroeconomic effects of the migration scenario. The analysis suggests that Austria's economy and labour market have the potential to be resilient to the simulated migration influx. The results indicate a positive impact on GDP due to increased aggregate consumption and investment. The labour market experiences an increase in the unemployment rates of natives and previous migrants. In some industries, the increase in the unemployment rates is more significant, potentially indicating competition among different groups of migrants. This research provides insights for policymakers and stakeholders in Austria and other countries that may face the challenge of managing large-scale migration in the near future.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1186/s40878-024-00374-3.</p>\",\"PeriodicalId\":37051,\"journal\":{\"name\":\"Comparative Migration Studies\",\"volume\":\"12 1\",\"pages\":\"18\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10965602/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Comparative Migration Studies\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1186/s40878-024-00374-3\",\"RegionNum\":2,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/3/26 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"DEMOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Comparative Migration Studies","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1186/s40878-024-00374-3","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/3/26 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"DEMOGRAPHY","Score":null,"Total":0}
Economic and labour market impacts of migration in Austria: an agent-based modelling approach.
This study examines the potential economic and labour market impacts of a hypothetical but plausible migration scenario of 250,000 new migrants inspired by Austria's experience in 2015. Using the agent-based macroeconomic model developed by Poledna et al. (Eur Econ Rev, 151:104306, 2023. 10.1016/j.euroecorev.2022.104306, the study explores the detailed labour market outcomes for different groups in Austria's population and the macroeconomic effects of the migration scenario. The analysis suggests that Austria's economy and labour market have the potential to be resilient to the simulated migration influx. The results indicate a positive impact on GDP due to increased aggregate consumption and investment. The labour market experiences an increase in the unemployment rates of natives and previous migrants. In some industries, the increase in the unemployment rates is more significant, potentially indicating competition among different groups of migrants. This research provides insights for policymakers and stakeholders in Austria and other countries that may face the challenge of managing large-scale migration in the near future.
Supplementary information: The online version contains supplementary material available at 10.1186/s40878-024-00374-3.