{"title":"哪些移民工作与采用新技术、机器人化和数字化有关？","authors":"Mahdi Ghodsi , Robert Stehrer , Antea Barišić","doi":"10.1016/j.techsoc.2024.102647","DOIUrl":null,"url":null,"abstract":"<div><p>This paper presents pioneering evidence of the effects of various novel technologies on migrant employment. By analysing data from 18 EU member states from 2005 to 2019, it sheds light on how innovations proxied by patents granted, robot adoption, three categories of digital assets, and total factor productivity, affect migrant employment. The key findings reveal that innovation leads to an increase in both the number and proportion of migrant workers relative to the overall workforce. While robots do displace some workers, their impact on native workers is stronger compared to migrant workers. Total factor productivity positively influences migrant workers, while the effects of digital assets are heterogeneous. Importantly, results also point towards significant variations concerning the impacts of these technologies on migrant workers across different occupations and educational levels.</p></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":null,"pages":null},"PeriodicalIF":10.1000,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Which migrant jobs are linked with the adoption of novel technologies, robotisation, and digitalisation?\",\"authors\":\"Mahdi Ghodsi , Robert Stehrer , Antea Barišić\",\"doi\":\"10.1016/j.techsoc.2024.102647\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This paper presents pioneering evidence of the effects of various novel technologies on migrant employment. By analysing data from 18 EU member states from 2005 to 2019, it sheds light on how innovations proxied by patents granted, robot adoption, three categories of digital assets, and total factor productivity, affect migrant employment. The key findings reveal that innovation leads to an increase in both the number and proportion of migrant workers relative to the overall workforce. While robots do displace some workers, their impact on native workers is stronger compared to migrant workers. Total factor productivity positively influences migrant workers, while the effects of digital assets are heterogeneous. Importantly, results also point towards significant variations concerning the impacts of these technologies on migrant workers across different occupations and educational levels.</p></div>\",\"PeriodicalId\":47979,\"journal\":{\"name\":\"Technology in Society\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":10.1000,\"publicationDate\":\"2024-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Technology in Society\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0160791X24001957\",\"RegionNum\":1,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SOCIAL ISSUES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technology in Society","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0160791X24001957","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL ISSUES","Score":null,"Total":0}
Which migrant jobs are linked with the adoption of novel technologies, robotisation, and digitalisation?
This paper presents pioneering evidence of the effects of various novel technologies on migrant employment. By analysing data from 18 EU member states from 2005 to 2019, it sheds light on how innovations proxied by patents granted, robot adoption, three categories of digital assets, and total factor productivity, affect migrant employment. The key findings reveal that innovation leads to an increase in both the number and proportion of migrant workers relative to the overall workforce. While robots do displace some workers, their impact on native workers is stronger compared to migrant workers. Total factor productivity positively influences migrant workers, while the effects of digital assets are heterogeneous. Importantly, results also point towards significant variations concerning the impacts of these technologies on migrant workers across different occupations and educational levels.
期刊介绍：
Technology in Society is a global journal dedicated to fostering discourse at the crossroads of technological change and the social, economic, business, and philosophical transformation of our world. The journal aims to provide scholarly contributions that empower decision-makers to thoughtfully and intentionally navigate the decisions shaping this dynamic landscape. A common thread across these fields is the role of technology in society, influencing economic, political, and cultural dynamics. Scholarly work in Technology in Society delves into the social forces shaping technological decisions and the societal choices regarding technology use. This encompasses scholarly and theoretical approaches (history and philosophy of science and technology, technology forecasting, economic growth, and policy, ethics), applied approaches (business innovation, technology management, legal and engineering), and developmental perspectives (technology transfer, technology assessment, and economic development). Detailed information about the journal's aims and scope on specific topics can be found in Technology in Society Briefings, accessible via our Special Issues and Article Collections.
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