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Over the past ten years, some general trends have been observed in information technology (IT) policy developments in OECD Member countries.

When a severe freeze hit Quebec in January 1998, schools and universities were forced to remain closed for up to 23 days. Here is an account of how school authorities handled the crisis and the lessons they learned.

Iceland’s Education Policy 2030 (EP2030) is an education strategy document that outlines aims to achieve a dynamic and flexible education system to drive economic and social change. Its vision is ‘to accomplish high-quality education through life’, underpinned by the values of resilience, courage, knowledge and happiness. It has five pillars to attain this vision: equity, teaching, skills for the future, well-being, and education system quality. To strengthen the implementability of this document and use it effectively to inform action planning, Iceland should review its design to make it actionable, more closely consider stakeholder engagement approaches, fit implementation to Iceland’s decentralised context, and define a clear implementation strategy. Through this, Iceland will be better positioned to transition from strategy to action, over the course of the next ten years, and accomplish its objectives.

Monetary and fiscal policies face huge challenges: the banking sector has collapsed; the economy is in the midst of a deep recession; the exchange rate has plunged; capital flows have been frozen; inflation is elevated; public debt has risen; source of revenues have disappeared; social needs have increased; and the unemployment insurance fund has been nearly depleted. Against this difficult background, this paper discusses what policy makers should do in order to restore balance in the Icelandic economy and lay out the foundations for a sustainable recovery. The key recommendations are to seek entry in the euro area and implement the fiscal consolidation measures necessary to comply with the IMF programme.

The global financial and economic crisis has struck Iceland with extreme force. Iceland’s three main banks, accounting for almost all of the banking system, failed in October 2008. They were unable to resist the deterioration in global financial markets following the failure of Lehman Brothers. The banks had pursued risky expansion strategies – notably borrowing in foreign capital markets to finance the aggressive international expansion of Icelandic investment companies – that made them vulnerable to the deterioration in global financial markets. They had also grown to be too big for the government to rescue. When access to foreign capital eventually closed, the banks failed. Non-financial firms and households were also vulnerable to the deterioration in global financial conditions, having taken on a lot of debt in recent years based on inflated collateral values. In some cases, the debt was foreign-currency denominated, without matching foreign-currency assets or revenues. In the wake of the banking crisis, the government obtained an IMF Stand-By Arrangement to provide favourable access to foreign capital markets and creditability for the recovery programme. Even so, the recession is likely to be deeper in Iceland than in most other OECD countries owing to the seriousness of the banking crisis and the weakness of private sector balance sheets. Reforms are needed to strengthen prudential regulation and supervision. This Working Paper relates to the 2009 Economic Survey of Iceland.

Considering the growing role of private and funded pension provision and the sensitivity of private pension provision to the economic climate, there is an increasing need of comparable and reliable information on private pension plans in order to better monitor retirement income adequacy and the role of private provision in retirement income. Key indicators of the extent to which private pension provision contributes to the adequacy of pensions are the level of coverage that private pensions have across countries‘ workforce, contributions made into pension funds and personal retirement accounts, and benefits paid to retirees. This paper provides the assessment of data sets available to estimate pension coverage, contributions and benefits in private pensions and discusses ways to use available data sets in order to better inform policy discussions on the role of private pensions on retirement benefit adequacy. It covers all EU-27 Member States and selected non-EU countries.

The paper employs a structural vector auto-regression (SVAR) along the lines of Blanchard and Quah (1989) and Clarida and Gali (1994) to identify the sources of changes in German international price competitiveness over the past 30 years. This leads to a separation of the driving forces of the real exchange rate into real demand, supply, and nominal shocks. Based on this decomposition, it is analysed whether real exchange rate changes have helped to stabilise output in the post re-unification period and whether such changes have facilitated the ongoing structural adjustment process of the German economy. The results indicate that real demand and nominal shocks have been the main drivers of the real exchange rate in the past, whereas output fluctuations have been almost entirely due to supply shocks. In particular, it turns out that improvements of Germany’s price competitiveness in the second half of the 1990s have been primarily the result of a relative domestic demand restraint and hardly that of supply side expansions.

This paper documents joblessness in OECD countries, provides a detailed diagnosis of structural employment barriers in Belgium, Korea and Norway by applying the OECD Faces of Joblessness methodology to the situation just before the COVID-19 crisis and discusses the policy implications. It shows that individuals experiencing major employment difficulties often face a combination of barriers related to work availability, readiness and incentives. It suggests a number of avenues for enhancing the effectiveness of public support: i) make greater use of statistical profiling tools to adapt programmes to the needs of the jobless and target resources to those at the highest risk of long-term joblessness; ii) better coordinate support provided by employment, health and education services; iii) place a greater emphasis on preventive policies (equal opportunities, life-long learning).

There are many reasons why the United Nations Framework Convention on Climate Change (UNFCCC) reporting framework requests information from countries. These include understanding and tracking progress with individual or collective commitments or pledges, providing confidence and enhancing accountability in quantified information measured and reported, and providing background information on the scope and ambition of national climate responses. This paper highlights the gaps, inconsistencies and uncertainties in the current reporting framework, which was developed for both long-standing obligations and mitigation pledges for the period to 2020. The paper also identifies possible improvements in the UNFCCC reporting framework in the context of the post-2020 transparency framework and nationally determined contributions (NDCs) for the post-2020 period.

Despite calls for the reform of incentives, including subsidies, harmful to biodiversity, including under the Convention on Biological Diversity and its 2011-2020 Aichi Targets, very few countries to date have undertaken what is considered the first step in this process, namely, to identify and assess the types and magnitudes of any incentives in place at the national level which are harmful for biodiversity or the environment more broadly.

This paper begins with a brief literature review on subsidies harmful to biodiversity, followed by a detailed review and comparison of the existing national level studies to identify and assess subsidies and other incentives harmful to biodiversity or the environment. The report concludes with guidance and good practice insights to identify and assess subsidies and other incentives harmful to biodiversity, at national level.

This work employs a novel approach to identify and characterise firms adopting Artificial Intelligence (AI), using different sources of large microdata. Focusing on the United Kingdom, the analysis combines data on Intellectual Property Rights, website information, online job postings, and firm-level financials for the first time. It shows that a significant share of AI adopters is active in Information and Communication Technologies and professional services, and is located in the South of the United Kingdom, particularly around London. Adopters tend to be highly productive and larger than other firms, while young adopters tend to hire AI workers more intensively. Human capital appears to play an important role, not only for AI adoption but also for firms’ productivity returns. Significant differences in the characteristics of AI adopters emerge when distinguishing between firms carrying out AI innovation, those with an AI core business, and those searching for AI talent.

Most of the projections of the cost of meeting climate change mitigation targets hinge crucially upon assumptions made about the cost and timing of the development of breakthrough technologies. However, very little is known about the conditions which are likely to give rise to breakthrough technologies. This paper seeks to uncover attributes of inventions – as reflected in patent data – which serve as “leading indicators” of subsequent technological and market development in climate change mitigation technologies. The role of industrial generality emerges as being robustly correlated with subsequent technological diffusion, whether measured as subsequent patent counts, commercial applicability, or attractiveness to risk finance. The indicator of closeness to science shows also a positive association with later technological diffusion. Originality and radicalness have more ambiguous results. This work can be seen as a foundation for the future development of a methodology providing guidance to policymakers in the choices made with respect to public support for different technological fields.

This paper identifies and measures developments in science, algorithms and technologies related to artificial intelligence (AI). Using information from scientific publications, open source software (OSS) and patents, it finds a marked increase in AI-related developments over recent years. Since 2015, AI-related publications have increased by 23% per year; from 2014 to 2018, AI-related OSS contributions grew at a rate three times greater than other OSS contributions; and AI-related inventions comprised, on average, more than 2.3% of IP5 patent families in 2017. China’s growing role in the AI space also emerges. The analysis relies on a three-pronged approach based on established bibliometric and patent-based methods, and machine learning (ML) implemented on purposely collected OSS data.

This paper uses information collected and provided by GlassAI to analyse the characteristics and activities of companies and universities in Canada, Germany, the United Kingdom and the United States that mention keywords related to Artificial Intelligence (AI) on their websites. The analysis finds that those companies tend to be young and small, mainly operate in the information and communication sector, have AI at the core of their business, and aim to provide customer solutions. It is noteworthy that the types of AI-related activities reported by them vary across sectors. Additionally, although universities are concentrated in and around large cities, this is not necessarily reflected in the intensity of AI-related activities. Taken together, this novel and timely evidence informs the debate on the most recent stages of digital transformation of the economy.