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While means-tested benefits such as minimum income benefits (MIB) and unemployment assistance (UA) are an essential safety net for low-income people and the unemployed, incomplete take-up is the rule rather than the exception. Building on desk research, open-ended surveys and semi-structured interviews, this paper investigates the opportunities and risks of using artificial intelligence (AI) for managing these means-tested benefits. This ranges from providing information to individuals, through determining eligibility based on pre-determined statutory criteria and identifying undue payments, to notifying individuals about their eligibility status. One of the key opportunities of using AI for these purposes is that this may improve the timeliness and take-up of MIB and UA. However, it may also lead to systematically biased eligibility assessments or increase inequalities, amongst others. Finally, the paper explores potential policy directions to help countries seize AI’s opportunities while addressing its risks, when using it for MIB or UA management.

Improving rural development, well-being and maximising the potential in rural areas requires greater horizontal and vertical co-ordination at the national, regional, and local level as well as the mainstreaming of rural issues across all policies. However, taking an integrated approach to rural development - where rural ministries and non-rural ministries coordinate in the development of polices and initiatives - is often very challenging. Rural proofing is a tool to help policy makers overcome this challenge and develop more nuanced rural-friendly policies. It involves making policy decisions based on evidence on rural dynamics available in a timely fashion to enable changes and adjustments. In practice, however, it is a mechanism that has proved complex to design, implement, and sustain. This article explores how more robust rural proofing models can be developed, with health as a focal point. Drawing on lessons from different OECD member countries, it develops a roadmap for more effective rural proofing mechanisms to help embed the practice in the policy space and culture of governments.

This report provides an assessment of the Swedish corporate bond market and policy recommendations to improve its functioning, drawing from detailed empirical analysis and in-depth interviews with market participants. It includes two empirical chapters which provide insights into the market's evolution over the last two decades based on original data, emphasising changes since the 2008 financial crisis with respect to market size, issuer characteristics, credit quality, industry composition and investor universe. These developments are also considered in an international context, comparing the Swedish market with selected peer countries, both in Europe and elsewhere.

This profile provides a concise and policy-focused overview of the state of health and the healthcare system in Sweden, as a part of the broader series of Country Health Profiles from the State of Health in the EU initiative. It presents a succinct analysis encompassing the following key aspects: the current health status in Sweden; the determinants of health, focusing on behavioural risk factors; the organisation of the Swedish healthcare system; and an evaluation of the health system's effectiveness, accessibility, and resilience. Moreover, the 2023 edition presents a thematic section on the state of mental health and associated services in Sweden. This profile is the collaborative effort of the OECD and the European Observatory on Health Systems and Policies, carried out in cooperation with the European Commission.

Sweden is among OECD best performers in reducing greenhouse gas emissions, much thanks to a comprehensive policy framework and relatively efficient policies. There is nonetheless room to further improve consistency of targets and policies, notably for transport, agriculture and carbon removals. Sweden’s long record as a climate frontrunner is also threatened by policy changes moving the 2030 reduction target out of reach unless compensated by new ambitious measures. A green industrial revolution is gaining momentum in Sweden’s north, fuelled by an abundant supply of clean electricity. Considerable investments in electricity generation, storage and transmission are needed, but long planning and permitting procedures slow many key projects down. The green revolution depends on people and skills to run industry and complementary public services. This is a challenge for northern regions and municipalities already facing labour shortages.

Policies aimed at reducing the environmental impact of human activities have important consequences for labour markets, jobs, and skills. As employment is shifting towards more sustainable activities, workers are increasingly expected to have skills that support the transition to a greener economy. Assessing and anticipating emerging skill needs is crucial to avoid bottlenecks and sustain the green transition. This report sheds light on existing methods to measure changes in skill demand and supply related to the green transition through an in-depth review of practices in five OECD countries (Australia, Austria, France, Norway and Sweden). It also identifies best practice on how to feed information on changing skill needs into policies, notably in the areas of employment, career guidance, education and adult learning.

Governments are increasingly utilising research and innovation (R&I) policy to foster economic and societal change. Yet, the empirical correlation between these policies and socio-technical transformations remains under-explored. The report investigates this relationship by comparing the Recovery and Resilience Plans (RRPs) of Austria, Finland and Sweden, initiated under the NextGenerationEU framework post Covid-19. The report finds significant disparities in the content, process and transformative value of the RRPs among these countries. The differences in the content of the national RRPs, and the ability and willingness to seize the opportunity presented by the RRPs to drive transformation, are explained by existing national policy contexts and frameworks. Surprisingly, the role of R&I policy in the RRPs is less important than expected, despite its emphasised importance in literature and political rhetoric. The report further identifies implications for a transformative innovation policy as well as areas for further research.