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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.

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.

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.

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.

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.

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.

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.

The bioeconomy brings opportunities for economic growth while tackling climate change. Fossil carbon resources can be replaced by bio-based carbon resources, especially biomass. To allow these solutions to be scaled up without threats to biodiversity and the environment, it is necessary to develop the bioeconomy as a circular economy. With this carbon management approach, other sources of carbon complement biomass: industrial waste, including gases such as CO and CO2, as well as physically and chemically recycled carbon. In the future, direct air capture (DAC) may become competitive and form part of the solution. These approaches can be considered ‘circular’ because they close material loops and keep carbon recycling in the economy rather than emitting carbon to the atmosphere. This report reviews a number of hybrid technologies that can be deployed to ‘defossilise’ economic sectors and sets out policy options to bring these technologies to commercial scale.

This paper discusses five innovation policy imperatives critical to achieving green and digital transitions: coordinated government, stakeholder engagement, policy agility and experimentation, directionality and support for breakthrough innovation. The paper provides policy examples from Germany, based on the OECD Review of Innovation Policy: Germany , and other countries to illustrate in what ways countries have addressed these imperatives. Overall, the quality and scale of these policy responses need to increase if transitions are to succeed. Open questions for future policy research are also highlighted.