{"id":1262,"date":"2026-06-29T15:31:25","date_gmt":"2026-06-29T12:31:25","guid":{"rendered":"https:\/\/www.rjrs.ase.ro\/?page_id=1262"},"modified":"2026-06-29T15:45:18","modified_gmt":"2026-06-29T12:45:18","slug":"volume-20-no-1-article-no-2","status":"publish","type":"page","link":"https:\/\/www.rjrs.ase.ro\/index.php\/volume-20-no-1-article-no-2\/","title":{"rendered":"Volume 20, No. 1, Article no. 2"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>Title:\u00a0<\/strong>Are \u00a0AI and robots perceived as job stealers? A spatial econometric analysis of European regions<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Authors &amp; affiliations:\u00a0\u00a0<em>Vlad-Andrei Petre, Smaranda Cimpoeru<\/em>, <\/strong>Bucharest University of Economic Studies, Romania<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Abstract:<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Artificial intelligence and robotization are generating major occupational transformations in labor markets, affecting both the organization of work and individuals&#8217; perceptions regarding displacement risks. While existing research has primarily focused on the objective effects of digital technologies on employment, productivity, and occupational restructuring, the perceptional dimension of job displacement remains relatively underexplored, particularly at regional level. By combining and objective and subjective approach, this study investigates the determinants of perceived occupational displacement associated with robotization and AI across 228 NUTS 2 regions in the European Union. The analysis integrates perception indicators collected from Eurobarometer surveys (101.3 and 101.4) with regional macroeconomic indicators derived from Eurostat database. The methodological framework combines exploratory spatial data analysis with classical and spatial local econometric techniques. Moran&#8217;s I statistic suggests significant spatial autocorrelation in the perceptions of job displacement, indicating the existence of regional clusters. clustering processes. The Multiscale Geographically Weighted Regression (MGWR) model outperforms the classical OLS regression and reveals the spatial variability of the relationships between explanatory variables and perceived job displacement. The results indicate that unemployment rates, tertiary education levels, positive perceptions of digital skills and perceptions regarding increased work rhythm generated by AI and robotization are positively associated with fears of job displacement. In contrast, employment in knowledge intensive and high technology services, together with positive perceptions regarding the use of AI and robots in the workplace reduce the perceived occupational displacement risk. However, these factors do not have a uniform effect at regional level, which is highlighted by the MGWR local regression models. By revealing geographically differentiated patterns, this study emphasizes the need for territorially driven policies aimed at supporting workforce adaptation to emerging digital technologies.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Keywords:\u00a0<\/strong>Artificial Intelligence, Robotization, Multiscale Geographically Weighted Regression (MGWR), Spatial Heterogeneity, Job Displacement Perceptions, Labor Market, European Union<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>JEL Classification:\u00a0<\/strong>O33, R11, J24, C21<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>DOI:<\/strong> <a href=\"https:\/\/doi.org\/10.61225\/rjrs.2026.02\" data-type=\"link\" data-id=\"https:\/\/doi.org\/10.61225\/rjrs.2025.01\">https:\/\/doi.org\/10.61225\/rjrs.2026.02<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/rjrs.ase.ro\/wp-content\/uploads\/2026\/06\/2-Cimpoeru.pdf\">Download full article from here<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Title:\u00a0Are \u00a0AI and robots perceived as job stealers? A spatial econometric analysis of European regions Authors &amp; affiliations:\u00a0\u00a0Vlad-Andrei Petre, Smaranda Cimpoeru, Bucharest University of Economic Studies, Romania Abstract: Artificial intelligence&nbsp;[ &hellip; ]<\/p>\n","protected":false},"author":13,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1262","page","type-page","status-publish","hentry","list-style-post"],"_links":{"self":[{"href":"https:\/\/www.rjrs.ase.ro\/index.php\/wp-json\/wp\/v2\/pages\/1262","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.rjrs.ase.ro\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.rjrs.ase.ro\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.rjrs.ase.ro\/index.php\/wp-json\/wp\/v2\/users\/13"}],"replies":[{"embeddable":true,"href":"https:\/\/www.rjrs.ase.ro\/index.php\/wp-json\/wp\/v2\/comments?post=1262"}],"version-history":[{"count":2,"href":"https:\/\/www.rjrs.ase.ro\/index.php\/wp-json\/wp\/v2\/pages\/1262\/revisions"}],"predecessor-version":[{"id":1275,"href":"https:\/\/www.rjrs.ase.ro\/index.php\/wp-json\/wp\/v2\/pages\/1262\/revisions\/1275"}],"wp:attachment":[{"href":"https:\/\/www.rjrs.ase.ro\/index.php\/wp-json\/wp\/v2\/media?parent=1262"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}