{"title":"Blueprint for improved measurement of the international ocean economy","authors":"","doi":"10.1787/aff5375b-en","DOIUrl":"https://doi.org/10.1787/aff5375b-en","url":null,"abstract":"","PeriodicalId":247534,"journal":{"name":"OECD Science, Technology and Industry Working Papers","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128631663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Matěj Bajgar, Sara Calligaris, Flavio Calvino, Chiara Criscuolo, Jon Timmis
{"title":"Bits and bolts","authors":"Matěj Bajgar, Sara Calligaris, Flavio Calvino, Chiara Criscuolo, Jon Timmis","doi":"10.1787/C917D518-EN","DOIUrl":"https://doi.org/10.1787/C917D518-EN","url":null,"abstract":"The digital transformation forces a re-think of government policy as manufacturing business models increasingly transition from “bolts” to “bits”. The road to Industry 4.0 implies important and pervasive changes in business dynamics, firm growth and the nature of competition. This report presents a framework for measuring the digital transformation of manufacturing industries, and maps the impact of digital technologies across these several dimensions: firm productivity growth, business dynamism, industry concentration, firm mark-ups and mergers and acquisition activity. It suggests policies that governments can use to facilitate digital adoption and reap the benefits of the digital revolution in manufacturing.","PeriodicalId":247534,"journal":{"name":"OECD Science, Technology and Industry Working Papers","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126997189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Izumi Yamashita, Akiyoshi Murakami, Stephanie Cairns, F. Galindo-Rueda
{"title":"Measuring the AI content of government-funded R&D projects","authors":"Izumi Yamashita, Akiyoshi Murakami, Stephanie Cairns, F. Galindo-Rueda","doi":"10.1787/7b43b038-en","DOIUrl":"https://doi.org/10.1787/7b43b038-en","url":null,"abstract":"This report presents the results of a proof of concept for a new analytical infrastructure (“Fundstat”) for analysing government funding of R&D at the project level, exploiting the wealth of text-based information about funded projects. Reflecting the growth in popularity of artificial intelligence (AI) and the OECD Council Recommendation on AI’s emphasis on R&D investment, the report focuses on analysing government investments into AI-related R&D. Using text mining tools, it documents the creation of a list of key terms used to identify AI-related R&D projects contained in 13 funding databases from eight OECD countries and the EU, provides estimates for the total number and volume of government R&D funding, and characterises their AI funding portfolio. The methods and findings developed in this study also serve as a prototype for a new distributed mechanism capable of measuring and analysing government R&D support across key OECD priority areas and topics.","PeriodicalId":247534,"journal":{"name":"OECD Science, Technology and Industry Working Papers","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115047209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}