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  • 1
    Online Resource
    Online Resource
    Policies to strengthen the resilience of global value chains : Empirical evidence from the COVID-19 shock (2023)
    Paris : OECD Publishing
    Details
    Language: English
    Pages: 1 Online-Ressource (43 p.) , 21 x 28cm.
    Series Statement: OECD Science, Technology and Industry Policy Papers no.141
    Keywords: Science and Technology ; Economics ; Trade ; Industry and Services
    Abstract: Widespread supply disruptions in the wake of the COVID-19 pandemic and the Russian Federation’s large-scale aggression against Ukraine have raised concerns among policy makers that globalised value chains expose domestic production to shocks from abroad. This paper uses new indicators of global value chain dependencies and exogenous pandemic shocks to econometrically estimate the effects of supply disruptions abroad on domestic output. The results suggest that the adverse effects of supply disruptions are particularly large when concentration of supplying countries and supplying firms is high. Counterfactual simulations of the econometric model suggest that diversification of suppliers would have sizeable benefits in terms of shielding domestic production against country-specific supply shocks, with partial onshoring of production having only small additional benefits. Technological innovation that reduces foreign dependencies, such as the substitution of renewable energies for fossil fuels, can have similar benefits as diversification.
    DOI: 10.1787/fd82abd4-en
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Identifying artificial intelligence actors using online data (2023)
    Paris : OECD Publishing
    Details
    Language: English
    Pages: 1 Online-Ressource (50 p.) , 21 x 28cm.
    Series Statement: OECD Science, Technology and Industry Working Papers no.2023/01
    Keywords: Science and Technology ; Industry and Services
    Abstract: This paper uses information collected and provided by GlassAI to analyse the characteristics and activities of companies and universities in Canada, Germany, the United Kingdom and the United States that mention keywords related to Artificial Intelligence (AI) on their websites. The analysis finds that those companies tend to be young and small, mainly operate in the information and communication sector, have AI at the core of their business, and aim to provide customer solutions. It is noteworthy that the types of AI-related activities reported by them vary across sectors. Additionally, although universities are concentrated in and around large cities, this is not necessarily reflected in the intensity of AI-related activities. Taken together, this novel and timely evidence informs the debate on the most recent stages of digital transformation of the economy.
    DOI: 10.1787/1f5307e7-en
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    What technologies are at the core of AI? : An exploration based on patent data (2023)
    Paris : OECD Publishing
    Details
    Language: English
    Pages: 1 Online-Ressource (45 p.) , 21 x 28cm.
    Series Statement: OECD Artificial Intelligence Papers no.6
    Keywords: Science and Technology
    Abstract: This report outlines a new methodology and provides a first exploratory analysis of technologies and applications that are at the core of recent advances in AI. Using AI-related keywords and technology classes, the study identifies AI-related patents protected in the United States in 2000-18. Among those, “core” AI patents are selected based on their counts of AI-related forward citations. The analysis finds that, compared to other (AI and non-AI) patents, they are more original and general, and tend to be broader in technological scope. Technologies related to general AI, robotics, computer/image vision and recognition/detection are consistently listed among core AI patents, with autonomous driving and deep learning having recently become more prominent. Finally, core AI patents tend to spur innovation across AI-related domains, although some technologies – likely AI applications, such as autonomous driving or robotics – appear to increasingly contribute to developments in their own field.
    DOI: 10.1787/32406765-en
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    The role of innovation and human capital for the productivity of industries (2021)
    Paris : OECD Publishing
    Details
    Language: English
    Pages: 1 Online-Ressource (50 p.)
    Series Statement: OECD Science, Technology and Industry Policy Papers no.103
    Keywords: Science and Technology
    Abstract: This paper sheds light on the relationship between innovation, human capital endowment and upgrading, organisational capital (OC) and labour productivity. In addition to assessing correlations, it uses a Heckman selection model to address causal links and to account for the ways in which skills and investment in R&D affect the probability of innovating. The analysis finds that innovative output, the proportion of OC-related workers, investment in training (especially in informal training) and physical capital intensity are positively and significantly related to productivity. In most estimates ICT skills, cognitive skills and the presence of highly skilled workers in an industry also emerge as having a significant and positive relationship with productivity. ICT skills further appear to indirectly shape productivity, through a positive relationship with innovation.
    DOI: 10.1787/197c6ae9-en
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    The human capital behind AI : Jobs and skills demand from online job postings (2021)
    Paris : OECD Publishing
    Details
    Language: English
    Pages: 1 Online-Ressource (99 p.)
    Series Statement: OECD Science, Technology and Industry Policy Papers no.120
    Keywords: Science and Technology
    Abstract: Building on recent OECD work, this paper analyses the skills sets (“skills bundles”) demanded in artificial intelligence (AI)-related online job postings. The analysis uses Burning Glass Technologies’ data for the United States and the United Kingdom and finds that skills related to the open source programming software Python and to machine learning represent “must-haves” for working with AI. Employers additionally value specialised skills related to robotics, AI development and applying AI. A comparison of the periods 2013-15 and 2017-19 shows that the latter two have become more interrelated over time, with “neural network” skills connecting both groups. Network analysis relating AI skills to general skills highlights the growing role of socio-emotional skills; and of skill bundles related to programming, management of big data and data analysis. Key results hold for both countries and time periods, though differences emerge across occupations and industries.
    DOI: 10.1787/2e278150-en
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 6
    Online Resource
    Online Resource
    Identifying and characterising AI adopters : A novel approach based on big data (2022)
    Paris : OECD Publishing
    Details
    Language: English
    Pages: 1 Online-Ressource (67 p.) , 21 x 28cm.
    Series Statement: OECD Science, Technology and Industry Working Papers no.2022/06
    Keywords: Science and Technology ; Industry and Services
    Abstract: This work employs a novel approach to identify and characterise firms adopting Artificial Intelligence (AI), using different sources of large microdata. Focusing on the United Kingdom, the analysis combines data on Intellectual Property Rights, website information, online job postings, and firm-level financials for the first time. It shows that a significant share of AI adopters is active in Information and Communication Technologies and professional services, and is located in the South of the United Kingdom, particularly around London. Adopters tend to be highly productive and larger than other firms, while young adopters tend to hire AI workers more intensively. Human capital appears to play an important role, not only for AI adoption but also for firms’ productivity returns. Significant differences in the characteristics of AI adopters emerge when distinguishing between firms carrying out AI innovation, those with an AI core business, and those searching for AI talent.
    DOI: 10.1787/154981d7-en
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 7
    Online Resource
    Online Resource
    Management, skills and productivity (2021)
    Paris : OECD Publishing
    Details
    Language: English
    Pages: 1 Online-Ressource (64 p.)
    Series Statement: OECD Science, Technology and Industry Policy Papers no.101
    Keywords: Science and Technology
    Abstract: This paper studies how industries’ investment in organisational capital (OC) and workforce skills relate to productivity, building on OECD estimates of OC, output data from the OECD Structural Analysis (STAN) database, and both cognitive and task-based skill indicators from the OECD Programme for the International Assessment of Adult Competencies (PIAAC). The paper finds that at the industry level, workers’ numeracy and endowment of skills related to science, technology, engineering and mathematics (STEM) correlate positively with productivity, and that the positive correlation of STEM skills with productivity is generally larger for OC workers. The paper also finds evidence that skills dispersion harms industry performance. A gap between the ICT skills of OC and non-OC workers seems to trigger a “lost in translation” type of mechanism, whereby communication and information flows become less fluid and impinge upon the economic performance of sectors, correlating negatively with productivity.
    DOI: 10.1787/007f399e-en
    URL: lizenzpflichtig
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  • 8
    Online Resource
    Online Resource
    Global value chain dependencies under the magnifying glass (2023)
    Paris : OECD Publishing
    Details
    Language: English
    Pages: 1 Online-Ressource (41 p.) , 21 x 28cm.
    Series Statement: OECD Science, Technology and Industry Policy Papers no.142
    Keywords: Science and Technology ; Economics ; Trade ; Industry and Services
    Abstract: Policy makers are increasingly grappling with the stability implications of global value chains (GVCs), as widespread supply shortages following the COVID-19 pandemic and the Russian Federation’s large-scale aggression against Ukraine have disrupted the economic recovery and contributed to high inflation. This paper provides a tool to assess vulnerabilities in GVCs by drawing a detailed map of dependencies based on new indicators constructed from the OECD Inter-Country Input-Output tables. The key findings are as follows. First, GVC dependencies increase with both the size of foreign exposures and the length of foreign value chains. Second, in some industries, such as the automotive and ICT industries, vulnerabilities from high GVC dependence are amplified by high geographic concentration of suppliers or buyers. Third, the People’s Republic of China is the most critical choke point in GVCs across a broad range of industries, both as a dominant supplier and as a dominant buyer.
    DOI: 10.1787/b2489065-en
    URL: lizenzpflichtig
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  • 9
    Online Resource
    Online Resource
    Emerging trends in AI skill demand across 14 OECD countries (2023)
    Paris : OECD Publishing
    Details
    Language: English
    Pages: 1 Online-Ressource (64 p.) , 21 x 28cm.
    Series Statement: OECD Artificial Intelligence Papers no.2
    Keywords: Künstliche Intelligenz ; Qualifikation ; Arbeitsnachfrage ; OECD-Staaten ; Education ; Employment ; Science and Technology ; Industry and Services
    Abstract: This report analyses the demand for positions that require skills needed to develop or work with AI systems across 14 OECD countries between 2019 and 2022. It finds that, despite rapid growth in the demand for AI skills, AI-related online vacancies comprised less than 1% of all job postings and were predominantly found in sectors such as ICT and Professional Services. Skills related to Machine Learning were the most sought after. The US-focused part of the study reveals a consistent demand for socio-emotional, foundational, and technical skills across all AI employers. However, leading firms – those who posted the most AI jobs – exhibited a higher demand for AI professionals combining technical expertise with leadership, innovation, and problem-solving skills, underscoring the importance of these competencies in the AI field.
    DOI: 10.1787/7c691b9a-en
    URL: lizenzpflichtig
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