Reports

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 international benchmarking of Germany’s artificial intelligence (AI) ecosystem and discusses progress in implementing its national AI strategy. The report draws on quantitative and qualitative data and insights from the OECD.AI Policy Observatory and from the OECD Programme on AI in Work, Innovation, Productivity and Skills (AI-WIPS) – an OECD research programme financed by the German Federal Government – and results from a series of interviews with a wide range of stakeholders in Germany. The review discusses Germany’s strengths, weaknesses, opportunities, and challenges in AI, and provides recommendations to steer AI policy in Germany in the coming years. The evidence is presented according to the core focus areas outlined in Germany’s national AI strategy, which include: 1) minds; 2) research; 3) transfer and applications; 4) the world of work; 5) policy and regulatory frameworks; and 6) society. Furthermore, the report discusses AI infrastructure and it includes three sector spotlights on AI in the public sector, AI and environmental sustainability and AI and healthcare.

The report presents the rationale for increasing the financial literacy levels of individuals in Germany and for the adoption of a National Strategy for Financial Literacy. It describes financial literacy levels, the actors directly involved in promoting financial literacy and the ongoing financial literacy initiatives at the federal, state and local levels. It provides policy recommendations for the design of the National Strategy.

In an increasingly digital world, the significance of cyber security for individuals, businesses, and governments has never been greater. Rising cyber attacks are challenging current defence and operational capabilities, highlighting a critical shortage of skilled cyber security professionals. This report delves into the demand for cyber security expertise by analysing online job postings in France, Germany and Poland in between 2018 and 2023. It examines trends in the demand for cyber security professionals, the geographical distribution of job opportunities, and the changing skill requirements in this field. Focusing on France, the report also explores cyber security education and training programmes, the characteristics of the programmes, the demographics of enrolled learners, and their outcomes. Additionally, it reviews French policies and initiatives aimed at broadening the cyber security workforce and enhancing educational opportunities in this field. This comprehensive analysis is part of a larger effort to understand the evolving landscape of cyber security policies and professional experiences worldwide.

Reaching climate neutrality requires economic transformations of unprecedented scale and speed. Immediate action from the business community can avoid unnecessary costs, create wellbeing co-benefits and prepare local businesses with a better competitive position in the future climate neutral economy. This report shows what reaching climate neutrality by 2040 means for Hamburg businesses and identifies key actions they need to undertake. It provides insights where the Hamburg economy and its businesses stand on the way to climate neutrality and on their needs to advance, drawing on a business survey. The study also shares insights from action plans of selected comparison cities. It points to cross-sector as well as to sector-specific challenges and opportunities for Hamburg businesses. This includes making better use of low-cost renewables, addressing energy efficiency in buildings as well as challenges and opportunities in activities in and around the port and in industry. It highlights Hamburg's potential as a hydrogen hub as well as the need to adopt circular economy practices. It illustrates that a regional and business perspective are necessary to achieve climate neutrality in prosperity, requiring individual and collective business action.

This profile provides a concise and policy-focused overview of the state of health and the healthcare system in Germany, 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 Germany; the determinants of health, focusing on behavioural risk factors; the organisation of the German 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 Germany. 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.

The green transformation of the economy is expected to lead to a sharp reduction in employment in carbon-intensive industries. For designing policies to support displaced workers, it is crucial to better understand the cost of job loss, whether there are specific effects of being displaced from a carbon-intensive sector and which workers are most at risk. By using German administrative labour market data and focusing on mass layoff events, we estimate the cost of involuntary job displacement for workers in high carbon-intensity sectors and compare it with the displacement costs for workers in low carbon-intensity sectors. We find that displaced workers from high carbon-intensity sectors have, on average, higher earnings losses and face stronger difficulties in finding a new job and recovering their earnings. Our results indicate that this is mainly due to human capital specificity, the regional clustering of carbon-intensive activities and higher wage premia in carbon-intensive firms. Workers displaced in high carbon-intensity sectors are older, face higher local labour market concentration and have fewer outside options for finding jobs with similar skill requirements. They have a higher probability to switch occupations and sectors, move to occupations that are more different in terms of skill requirements compared to the pre-displacement job, and are more likely to change workplace districts after displacement. Women, older workers and those with vocational degrees as well as workers in East Germany, experience particularly high costs in case they are displaced from high carbon-intensity sectors.