Publications & Documents

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.

Accurate measurement of shipbuilding capacity is critical to inform market stakeholders of excess capacity issues. This report presents several approaches to improve the estimates of shipbuilding capacity. It shows how the use of average production would allow for smoothening the proxy of capacity in the yard-by-yard production approach. It discusses how firm level indicators, such as productivity, can also be considered. An analysis of productivity developments for a sample of shipbuilding firms shows that their productivity evolves in function of the market situation which, therefore, should be taken into account in the proxies of capacity based on yard production. Finally, the report studies how mergers and acquisitions of shipbuilding firms may impact capacity.

This report analyses the trends in Finnish productivity growth over the 2000s and 2010s. It describes its key features, makes comparisons to a benchmark of 16 OECD countries, and studies the causes of its sudden and prolonged slowdown which began at the end of the 2000s. The analysis focuses on the role of two contemporaneous demand shocks that hit the Finnish economy: the Nokia crisis and the Great Trade Collapse of 2009. Matching detailed firm-based information on structural characteristics of productivity growth with global input-output tables and National Accounts data, the report highlights how the prolonged drop in demand from the domestic computer and electronics sector may have induced a persistent drag on Finnish productivity growth. The report concludes with policy implications to strengthen Finnish resilience to idiosyncratic shocks to key sectors or large firms, while supporting long-term productivity growth and competitiveness.

Open banking allows users to access financial information and services through consent-based data portability. This paper brings together the views of private and public experts from a wide variety of countries to explore opportunities and challenges of open banking for financial regulation, privacy protection, and competition. It discusses the different approaches taken by jurisdictions across the globe, and the importance of regulation and standards. While open banking empowers users in sharing and re-using their data across digital services, online platforms, sectors and borders, uncertainty in the interactions with data protection and privacy regimes remains challenging. This paper informs OECD work to consider how cross-sectoral cooperation between financial, competition and data protection authorities could help further open banking.

The paper presents a comprehensive assessment of the strengths and limitations of the intellectual property (IP) system in Poland. It offers policy recommendations to fully exploit the potential of IP to support an innovation-based economy. It finds that the key components of an effective IP strategy in Poland should include the promotion of IP use among economic actors and other stakeholders as well as information campaigns and training programmes to raise awareness and knowledge about the advantages of IP. Recommendations also include reducing barriers to IP use by lowering the costs of and simplifying IP-related procedures, and promoting the valorisation of IP held by universities to enhance technology transfer to the business sector.

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.

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.