02585nas a22003978i 4500 00006938 ES-MaONT 20220202163700.0 cr || |||||m|n 220202s2022 fr ad o i|0| 0 eng d doi 10.1787/9ce86ca5-es ES-MaONT 4922 Squicciarini, Mariagrazia Labour-saving technologies and employment levels : are robots really making workers redundant? / Mariagrazia Squicciarini y Jacopo Staccioli Paris : OECD Publishing, January 2022 36 p. : il., gráf. ; 1 documento PDF texto (visual) isbdcontent electrónico isbdmedia recurso en línea rdacarrier OECD Science, Technology and Industry Policy Papers ; January 2022, No. 124 Bibliografía: p. 34-35 This paper exploits natural language processing techniques to detect explicit labour-saving goals in inventive efforts in robotics and assess their relevance for different occupational profiles and the impact on employment levels. The analysis relies on patents published by the European Patent Office between 1978 and 2019 and firm-level data from ORBIS® IP. It investigates innovative actors engaged in labour-saving technologies and their economic environment (identity, location, industry), and identifies technological fields and associated occupations which are particularly exposed to them. Labour-saving patents are concentrated in Japan, the United States, and Italy, and seem to affect low-skilled and blue-collar jobs, along with highly cognitive and specialised professions. A preliminary analysis does not find an appreciable negative effect on employment shares in OECD countries over the past decade, but further research to econometrically investigate the relationship between labour-saving technological developments and employment would be helpful. Todos los derechos reservados OECD Tecnologías habilitadoras digitales 18 Empleo 5190 robots robótica mano de obra tecnologías patentes 5390 Staccioli, Jacopo Organización de Cooperación y Desarrollo Económico 2843 OECD Science, Technology and Industry Policy Papers 2724 https://www.oecd-ilibrary.org/science-and-technology/labour-saving-technologies-and-employment-levels_9ce86ca5-en Acceso al documento 0 pdf INF udc 6938 6938 0 0 0 3 1 7887 01 01 online 2022-02-02 0 1000020177132 2022-02-02 00:00:00 2022-02-02 INF pdf