Publications & Documents

The rapid pace of technological change, coupled with a pressing need for solutions to address grand societal challenges and global crises, heightens the challenge for policy makers to develop science, technology and innovation policies at speed, in situations of high uncertainty and, in some cases, around potentially controversial technology fields. Technology assessment (TA) has a long history of providing decision-makers with timely strategic intelligence on emerging technologies. Current demands are pushing TA to evolve in order to fulfil diverse functions: to illuminate the societal, economic, environmental and other consequences of new technologies; to inform public opinion; and to guide research and development. Drawing on nine case studies, this report analyses the response of TA practices to these changing drivers and demands to support policies for new and emerging technologies. It also identifies a set of principles to guide good contemporary TA practice.

This report analyses subsidies provided to steel producers by examining firm-level data from the Organisation for Economic Co-operation and Development (OECD) and conducting desk research. It reveals that subsidy trends persist even in the face of existing overcapacity. Between 2008 and 2020, steel companies in partner economies obtained an average of 10.7 times more subsidies per crude steel production capacity unit than their counterparts in OECD countries. These subsidies took the form of cash grants, cash awards, and cost reimbursements. The report also finds that the national context significantly influences a jurisdiction's inclination to support its steel sector and the transparency of such subsidies. Some jurisdictions have prioritised the growth of their domestic steel industry by establishing firm goals for crude steel production, export, or concentration. Meanwhile, others have engaged in international collaboration to address global challenges related to the decarbonisation of the steel industry.

Despite the increasing adoption of income-based tax incentives for R&D and innovation in the OECD area and beyond, evidence on the availability, design, generosity and actual cost of these incentives remains scarce. This report helps fill this gap by documenting government efforts to provide preferential tax treatment of economic outputs of innovation activities. Drawing on the responses of national contact points to the OECD KNOWINTAX surveys carried out in 2020 and 2021, it presents new evidence on the cost (foregone tax revenues) and uptake of income-based-tax incentives by businesses in 2019, and tracks their distribution by firm size and industry and their evolution over the 2000-2019 period.

AI language models are a key component of natural language processing (NLP), a field of artificial intelligence (AI) focused on enabling computers to understand and generate human language. Language models and other NLP approaches involve developing algorithms and models that can process, analyse and generate natural language text or speech trained on vast amounts of data using techniques ranging from rule-based approaches to statistical models and deep learning. The application of language models is diverse and includes text completion, language translation, chatbots, virtual assistants and speech recognition. This report offers an overview of the AI language model and NLP landscape with current and emerging policy responses from around the world. It explores the basic building blocks of language models from a technical perspective using the OECD Framework for the Classification of AI Systems. The report also presents policy considerations through the lens of the OECD AI Principles.

This report analyses the use of artificial intelligence (AI) in firms across 11 countries. Based on harmonised statistical code (AI diffuse) applied to official firm-level surveys, it finds that the use of AI is prevalent in ICT and Professional Services and more widespread across large – and to some extent across young – firms. AI users tend to be more productive, especially the largest ones. Complementary assets, including ICT skills, high-speed digital infrastructure, and the use of other digital technologies, which are significantly related to the use of AI, appear to play a critical role in the productivity advantages of AI users.

The iron and steel sector accounts for almost 8% of global emissions, making it one of the highest emitting industry sectors with around 30% of industrial carbon emissions. Decarbonising the steel sector is therefore key to achieving climate goals. This report, prepared for the 2023 Japanese G7 Presidency, demonstrates that considering the heterogeneity of steel industries is vital for reaching climate goals and for a just and inclusive transition to a low-carbon future. The report maps the heterogeneity of global steel industries, highlighting the differences between them in key areas relevant to decarbonisation. Additionally, it examines how these differences should be considered when developing definitions for near-zero and low-emissions steel production, as well as emissions measurement methodologies and data collection frameworks.

National Statistical Offices face a growing policy demand for better statistics on digital platform employment and work. New statistical definitions are needed to avoid undercounting the number of people involved in these jobs. In addition, new sources of data, including non-official ones, may be needed to meet the statistical challenges of measuring digital platform employment and work. The OECD, the International Labour Organisation and the European Commission have joined forces to produce this Handbook on Measuring Digital Platform Employment and Work, which assesses measurement options and provides first recommendations on these issues. The Handbook first proposes a general definition of digital platform work and a conceptual framework that helps identify the key features of digital platform employment and work, which statisticians should bear in mind when designing their research objectives and operational protocol. The Handbook then reviews the main statistical vehicles used for measuring digital platform employment, and discusses previous statistical initiatives by National Statistical Offices through the lens of its conceptual framework.