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Using a micro-level model of investment, this paper finds that firm-debt and investment are negatively associated across firms in Austrian manufacturing industries. The finding is robust to various changes to the model specification. Moreover, in an extension of the basic model, different components of debt are examined, pointing out that debt owed to banks and long-term debt have a stronger negative effect than other forms of debt. Comparisons with investment models estimated for other European countries suggest that the impact of debt on investment is more negative in Austria than elsewhere. Results from interaction models of debt owed to banks with an index of credit easing show that firms in industries which are more bank-dependent invest relatively more than firms in industries that are less bank-dependent after an easing of credit conditions.

This profile provides a concise and policy-relevant overview of health and the health system in Austria as part of the broader series of the State of Health in the EU country profiles. It provides a short synthesis of: the health status in the country; the determinants of health, focussing on behavioural risk factors; the organisation of the health system; and the effectiveness, accessibility and resilience of the health system. This edition has a special focus on the impact of COVID‑19. This profile is the joint work of the OECD and the European Observatory on Health Systems and Policies, in co-operation with the European Commission.

Austria is in the process of developing and implementing a comprehensive education monitoring system that is in line with the goals of the 2017 Education Reform Act. This Policy Perspective presents the final output of this two-year collaboration between the Austrian Federal Ministry of Education, Science and Research, the European Commission and the OECD. The overall goal of this project is to support the Austrian Government in the design and implementation of a new education monitoring system that balances traditional top-down implementation processes with more bottom-up approaches that leave room for co-construction and local adaptation. This report issues a set of recommendations for the monitoring system to provide data to support quality assurance, school self-evaluation, effective governance, evidence-based policy making, and allocation and use of resources. This report can be of help for any country looking to support policy development and improvement in the education system through data-informed decision-making.

Enterprises are a key provider of education and training for adults across OECD countries. Yet, policy-makers lack a detailed understanding of how training in enterprises takes place. This report opens the black box of training and informal learning in enterprises by providing in-depth insights on: i) what training and learning opportunities enterprises provide; ii) why they provide training (or not); and iii) how they make decisions about training. It presents new evidence from 100 qualitative cases studies in five countries: Austria, Estonia, France, Ireland and Italy. The findings will assist governments and social partners in designing and implementing better policies in support of training in enterprises.

This paper compares the learning gain over one year of schooling among 15-year-old students in Austria and Scotland (United Kingdom). Common metrics for reading, mathematics and science learning, as established by the Programme for International Student Assessment (PISA), are used. In order to overcome the limitations of a cross-sectional, single-cohort design, multiple cycles of PISA data are combined. The fact that Austria and Scotland moved their testing period across cycles is also exploited. The results are used to establish a benchmark for other performance differences observed in PISA, such as gender gaps, socio-economic gaps or between-country differences.

While income inequality in Austria is relatively low compared to many other OECD countries, social mobility lags behind. Socio-economic outcomes carry over strongly from one generation to the next: more than elsewhere, fathers’ earnings are a strong predictor of the earnings of their prime-age children. This reflects strong persistence across generations in occupational and educational outcomes, particularly for women and migrants. Relative income positions also tend to strongly persist over people’s lives, in particular at the top and bottom. Meanwhile, the middle-income group is polarising, with downward risks rising for the lower middle. Longer-term earnings trajectories (over 15 years) display marked gender differences, with women facing weaker chances of moving up and greater risks of sliding down. This paper identifies policies that promote or hamper social mobility in four domains. First, good-quality early childhood education and care can be a catalyst for upward mobility. Participation rates have significantly risen over the last decade, but still lag those in many OECD countries. Further investment is needed to improve quality and status of formal childcare. Second, tackling low educational mobility in Austria requires ensuring a successful school-to-work transition. Austria provides targeted support for those who struggle, but it could improve funding for disadvantaged schools and consider the appropriateness of 'tracking' students at such a young age. Third, reducing gender inequality in the labour market would greatly improve social mobility. This requires raising incentives for a more equal sharing of family and work responsibilities in the areas of tax policy, parental leave and family and care benefits. Fourth, the Austrian tax and benefit system provides comparatively adequate protection against income shocks. The high concentration of household wealth, combined with the absence of inheritance taxation, however implies that inequalities of opportunity remain large.

Social protection systems use a range of entitlement criteria. First-tier support typically requires contributions or past employment in many countries, while safety net benefits are granted on the basis of need. In a context of volatile and uncertain labour markets, careful and continuous monitoring of the effectiveness of income support is a key input into an evidence-based policy process. This paper proposes a novel empirical method for monitoring the accessibility and levels of safety net benefits. It focusses on minimum-income benefits (MIB) and other non-contributory transfers and relies on data on the amounts of cash support that individuals in need receive in practice. Results show that accessibility and benefit levels differ enormously across countries – for instance, in 2015/16, more than four out of five low-income workless one-person households received MIB in Australia, France and the United Kingdom, compared to only one in five in Greece, Italy and Korea, three countries that have since sought to strengthen aspects of safety-net provisions.

The COVID-19 crisis has had a profound impact on SME access to finance. In particular, the sudden drop in revenues created acute liquidity shortages, threatening the survival of many viable businesses. The report documents an increase in demand for bank lending in the first half of 2020, and a steady supply of credit thanks to government interventions. On the other hand, other sources of finance declined, in particular early-stage equity. This paper, a special edition of Financing SMEs and Entrepreneurs, focuses on the impacts of COVID-19 on SME access to finance, along with government policy responses. It reveals that the pre-crisis financing environment was broadly favourable for SMEs and entrepreneurs, who benefited from low interest rates, loose credit standards and an increasingly diverse offer of financing instruments. It documents the unprecedented scope and scale of the policy responses undertaken by governments world-wide, and details their key characteristics, and outlines the principal issues and policy challenges for the next phases of the pandemic, such as the over-indebtedness of SMEs and the need to continue to foster a diverse range of financing instruments for SMEs.

This report takes stock of processes that promote the systematic use of evidence in decision making in Austria’s education system. It builds on an online survey among over 6500 decision makers, drawing on responses from executives in the Austrian Federal Ministry for Education, Science and Research; regional education directorates; school supervision and school leaders. The report identifies what it takes to strengthen the opportunity, capability and motivation of decision makers at all levels of the education system to use evidence effectively for their respective practice – including teaching and quality assurance. It assesses respective strengths and weaknesses in current processes and in opportunities available to decision makers. The report develops possible next steps to inform further discussions. The publication is part of OECD work on strategic education governance, which supports countries in identifying the best ways to achieve national objectives in a context of multi-level governance structures and complex environments. The work identifies and promotes effective governance processes in the domains of accountability, capacity, knowledge governance, stakeholder involvement, strategic thinking and adopting a whole-of-system perspective. This publication will be of interest to policy makers, education leaders, the education research community and all those interested in education governance.