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Publications & Documents


  • 2-February-2024

    English

    Eight lessons learned from comparing ocean economy measurement strategies across countries

    Many ocean economic activities are not readily visible in official statistics, hindering policymakers' access to crucial information for decision making. The OECD ocean economy measurement project aims to address this by aligning ocean economy statistics with broader economic data and ensuring international consistency. This paper compares the measurement strategies of eight OECD member countries using principles from the system of national accounts. It also highlights the ocean economy thematic accounts of four countries and summarises their methods. The paper concludes with recommendations for integrating ocean economy measurements with national accounting standards, a vital step for improving the evidence base for ocean policymaking.
  • 1-February-2024

    English

    Research and Development Statistics (RDS)

    This electronic publication provides recent statistics on the resources devoted to the R&D in OECD countries and in nine non-member economies.

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  • 22-January-2024

    English

    Unique Identifier for Transgenic Plants

    The OECD developed the BioTrack Product Database which accommodates Unique Identifiers to each transgenic (or genetically engineered) plant that is approved for commercial use, including planting and food/feed use. These Unique Identifiers are intended to be used as "keys" to access information of each transgenic product in this database and to ensure the safety of modern biotechnology products

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  • 19-January-2024

    English

    Collective action for responsible AI in health

    Artificial intelligence will have profound impacts across health systems, transforming health care, public health, and research. Responsible AI can accelerate efforts toward health systems being more resilient, sustainable, equitable, and person-centred. This paper provides an overview of the background and current state of artificial intelligence in health, perspectives on opportunities, risks, and barriers to success. The paper proposes several areas to be explored for policy makers to advance the future of responsible AI in health that is adaptable to change, respects individuals, champions equity, and achieves better health outcomes for all. The areas to be explored relate to trust, capacity building, evaluation, and collaboration. This recognises that the primary forces that are needed to unlock the value from artificial intelligence are people-based and not technical. The OECD is ready to support efforts for co-operative learning and collective action to advance the use of responsible AI in health.
  • 15-December-2023

    English

    Generative artificial intelligence in finance

    The rapid acceleration in the pace of AI innovation in recent years and the advent of content generating capabilities (Generative AI or GenAI) have increased interest in AI innovation in finance, in part due to the user-friendliness and intuitive interface of GenAI tools. The use of AI in financial markets involving full end-to-end automation without any human intervention remains largely at development phase, but its wider deployment could amplify risks already present in financial markets and give rise to new challenges. This paper presents recent evolutions in AI in finance and potential risks and discusses whether policy makers may need to reinforce policies and strengthen protection against these risks.
  • 15-December-2023

    English

    The Space Economy in Figures - Responding to Global Challenges

    Efforts to respond to global challenges have greatly benefited from space technologies that are more advanced, perform more efficiently and are operating at greater scale than ever before. But as the challenges facing society grow and intensify, questions arise as to whether the space sector can continue to deliver on its promise. Reaping the full benefits of what space activities have to offer will require substantial and targeted government action. Key priorities include maintaining the continuity and quality of government civilian missions, levelling the playing field for private actors entering the market, and securing the orbital environment for future generations. This edition of the Space Economy in Figures delves into these topics, drawing from both established and novel economic and policy data sources.
  • 13-December-2023

    English

    SME Policy Index: Eastern Partner Countries 2024 - Building Resilience in Challenging Times

    The SME Policy Index: Eastern Partner Countries 2024 – Building resilience in challenging times is a unique benchmarking tool to assess and monitor progress in the design and implementation of SME policies against EU and international best practice. It embraces the priorities laid out in the European Union’s SME Strategy for a sustainable and digital Europe and is structured around the ten principles of the Small Business Act for Europe, which provide a wide range of measures to guide the design and implementation of SME policies. This report marks the fourth edition in this series, following assessments in 2012, 2016, and 2020. It tracks progress made since 2020 and offers the latest key findings on SME development and related policies in the countries of the Eastern Partnership (EaP). It also identifies emerging challenges affecting SMEs in the region and provides recommendations to address them. The 2024 edition benefits from an updated methodology that also offers a deeper analysis of policies to support the digital transformation of SMEs.
  • 13-December-2023

    English

    Gender diversity in senior management and firm productivity - Evidence from nine OECD countries

    This paper investigates the link between gender diversity in senior management and firm-level productivity. For this purpose, it constructs a novel cross-country dataset with information on firms’ senior management group and other firm characteristics, covering both publicly listed and unlisted firms in manufacturing and non-financial market services across nine OECD countries. The main result from the analysis is that productivity gains from increasing gender diversity in senior management are highest among firms with low initial diversity. Increasing the female share to the sample average of 20% in firms with initially lower shares would increase aggregate productivity by around 0.6%. This suggests that improving women’s access to senior management positions matters not only for equity but could yield significant productivity gains.
  • 12-December-2023

    English

    Doombot: a machine learning algorithm for predicting downturns in OECD countries

    This paper describes an algorithm, 'DoomBot', which selects parsimonious models to predict downturns over different quarterly horizons covering the ensuing two years for 20 OECD countries. The models are country- and horizon-specific and are automatically updated as the estimation sample period is extended, so facilitating out-of-sample evaluation of the algorithm. A limited combination of explanatory variables is chosen from a much larger pool of potential variables that include those that have been most useful in predicting downturns in previous OECD work. The most frequently selected variables are financial variables, especially those relating to credit and house prices, but also include equity prices and various measures of interest rates (such as the slope of the yield curve). Business cycle variables -- survey measure of capacity utilisation, industrial production, GDP and unemployment -- are also selected, but more frequently at very short horizons. The variables selected do not just relate to the domestic economy of the country being considered, but also international aggregates, consistent with findings from previous OECD work. The in-sample fit of the models is very good on standard performance metrics, although the out-of-sample performance is less impressive. The models do, however, provide a clear out-of-sample early warning of the Global Financial Crisis (GFC), especially when considered collectively, although they do generate ‘false alarms’ just ahead of the crisis. The models are less good at predicting the euro area crisis out-of-sample, but it is clear from the evolution of the choice of variables that the algorithm learns from this episode, for example through the more frequent selection of a variable measuring euro area sovereign bond spreads. The latest out-of-sample predictions made in mid-2023, suggest the probability of a downturn is at its greatest and most widespread since the GFC, with the largest contributions to such risks coming from house prices, interest rate developments (as measured by the slope of the yield curve and the rapidity of the change in short rates) and oil prices. On the other hand, warning signals from business cycle variables and equity prices, which are often good downturn predictors at short horizons, are conspicuously absent.
  • 4-December-2023

    English

    Unlocking co-creation for green innovation - An exploration of the diverse contributions of universities

    In the context of the green transition, universities have much to offer in joint green innovation projects with business, government and citizens. As hubs of diverse expertise, universities are uniquely placed to build interdisciplinary teams and bridge gaps between society and industry. Their regional ties also enable them to engage with the local ecosystem. This paper draws from ten international case studies of university partnerships with industry and society in green mobility, green energy and green products, services and processes. The comparative evidence gathered from interviews with representatives from these initiatives examines universities’ practices for green co-creation. Additionally, the paper outlines policy recommendations crucial to supporting these initiatives, essential for the global success of sustainable development efforts.
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