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This paper concludes the project “Support to Improve Effectiveness of Lithuania’s Innovation Policy” which summarises the findings, policy options and recommended actions. It aimed at providing support to efforts of the Government of Lithuania to better deliver existing policies, and develop and implement appropriate new policies, instruments and institutions in selected areas of science, technology and innovation (STI) policy. The report takes stock of recent policy actions taken since the “OECD Review of Innovation Policy: Lithuania 2016”. Drawing on international good practices it explores the scope for improvement in selected areas of STI policy: a) consolidation of innovation agencies and enhancing Lithuania’s STI Council, b) public procurement of innovation , c) mission-oriented innovation policies, and d) industry 4.0 and artificial intelligence. The project has been aligned with ongoing Lithuanian reform processes, some of which are reflected in the ‘New Generation Lithuania’ plan related to the EU’s Recovery and Resilience Facility.

This report provides the key findings of an OECD survey on comparability in personal data breach notification (PDBN) reporting that was implemented from June 2019 to February 2020. The main findings show a general trend towards mandatory PDBN regulation and identify internationally comparable data metrics used by privacy enforcement authorities (PEAs). The metrics include the number of reported PDBNs, data on the nature of causes, specific causes, and the types of data breached. In addition, the survey identified the types of questions suitable for internationally comparable data collections by PEAs. These include questions on sectoral application of mandatory PDBN, thresholds and timeframes for notifications to the designated authorities and data subjects, and the use of collected data for enforcement collaboration. The survey also sheds light on some of the possible challenges in improving international comparability such as lack of common standards in the industrial classifications used by PEAs.

Trust between citizens and their governments is crucial for the legitimacy and functioning of democracies. This paper discusses the main determinants of people’s trust in public institutions and their measurement, in times of crisis as well as for a long-term, strong, inclusive and green recovery. It presents evidence on the great variation in the levels and drivers of trust across public institutions, across levels of government within countries, and among population groups. It also identifies three main trust challenges for public governance that were heightened by the COVID-19 crisis: i) people’s views on the credibility and effectiveness of government action on intergenerational and often global challenges; ii) the changes in political participation and political attitudes; and iii) an increasing distrust of and disengagement from democratic processes. Building on previous OECD work, and taking into account lessons from other crises and handling of the COVID-19 pandemic, the paper introduces a revised and expanded version of the OECD Framework on Drivers of Trust in Public Institutions. Furthermore, it discusses how this Framework is applied in the OECD Trust Survey. Both the Framework and the Survey aim to provide governments with actionable evidence to build and maintain people’s trust as the basis for successful planning and policy reforms, allowing democracies to be fitter, stronger and more resilient in the future.

As data have become a social and economic resource, including for value creation, decision-making, innovation and production, policy makers are facing a number of challenges. Among the most important issues – but also one that is particularly complex – is how to measure the economic value of data to provide a solid evidence base for policymaking. This Going Digital Toolkit note brings clarity about what is meant by the term “data” in the context of efforts to conceptualise and measure the value of data from a statistical perspective. The note also highlights why estimating the value of data is increasingly important, identifies the conceptual and practical measurement challenges faced, and catalogues various innovative initiatives underway across countries in the context of the forthcoming revision of the System of National Accounts and beyond.

Taking gender considerations into account when designing and implementing green recovery measures can contribute both to reducing gender inequalities and achieving environmental objectives. This paper maps the limited presence of gender-sensitive measures in the OECD Green Recovery Database, identifies additional policy areas where gender sensitivity would be beneficial, and proposes policy actions to help countries align their commitments to gender equality and environmental objectives during the COVID-19 recovery.

This paper assesses the medium term impact of the United Kingdom leaving the EU Single Market under the terms of the EU-UK Trade and Cooperation Agreement (TCA) reached at the end of 2020 using the OECD METRO CGE model. The analysis does not include any transitional costs to fully implementing the new trade agreement, nor does it take into account stress on the economy as a result of COVID-19. Lastly, only the implications on services trade from regulatory restrictions on the free movement of people have been incorporated in the analysis while the wider labour market impacts of cross-border movement of people are left aside. Results from the simulation show that real GDP losses in the European Union, in the worst case scenario are expected to be around 0.6% in the medium term, but would vary markedly across countries. Ireland would experience the largest losses, while countries with loose trade links with the United Kingdom would barely be affected. The decline in trade is not uniform among sectors. European Union member states are expected to import less professional services such as financial services and insurance, communication, and other business services. UK exports are estimated to fall by about 6.3% and imports by 8.1% in the medium term. The overall medium-term loss in real GDP could amount to 4.4%.

This paper analyses how development finance institutions (DFIs) manage and measure the impacts of their investments. Using the logic of an earlier scoping exercise, we examine how DFIs operationalise the different impact management and measurement (IMM) tools and initiatives emerging from harmonisation efforts within the industry, or roll out their own proprietary frameworks. This mapping enables us to draw broad conclusions for other investors operating in a development context. Namely, it is possible to both harmonise broad sets of agreed values (principles) and standardise metrics and indicators. At the same time, the paper shows that it is not useful to converge towards a “single, limiting” measurement framework. Ultimately, the different contexts and geographies DFIs operate in, as well as their different stakeholders and shareholders, demand flexibility. Nevertheless, convergence around underpinning standards of practice is essential to producing transparent, consistent and comparable data on impact. Such data on impact, outlining what works in different geographies and contexts, is critical in strengthening the efficient deployment of funds. In this sense, we want to avoid both impact washing and a “race to the bottom”, in favour of an aspirational drive towards better impact management and measurement.

Australia’s financial sector entered the COVID-19 crisis in a strong position, enabling it to play a key role in cushioning the pandemic’s impact. Once the national economy reopens, policymakers will turn their focus to securing a robust, sustainable and inclusive recovery. However, low interest rates are boosting house prices and demand for credit in a banking sector that is already highly exposed to housing and highly indebted households. At the same time, many young and innovative firms – which are the drivers of job creation and productivity growth - struggle to access finance. And financial frictions impede the alignment of financial flows with environmental sustainability. Addressing these obstacles, through regulatory change, developing alternatives to bank finance and facilitating technological transformation, would raise productivity and set the recovery on a more sustainable path. Financial inclusion and financial literacy are comparatively high and financial education is entrenched at schools. Further efforts are still needed to address persistent gaps in outcomes for disadvantaged groups, accompanied by stronger consumer protections to ensure that the recovery is inclusive.

Responding to the gender impacts of COVID-19 – including lost economic opportunities when taking on more domestic and care work in the health sector and at home, and increased violence – requires more tailored policies and resources that support gender equality and women’s empowerment. It also means including women in leadership and decision making in all aspects of the recovery. Official development assistance (ODA) is key to improved gender analysis by donors and development partners, and the broader application of gender-responsive budgeting tools across public finance management (PFM) systems. This paper provides recommendations to better align ODA to gender-sensitive responses in the disbursement of COVID-19 relief and recovery funds, and considers how PFM systems should be strengthened by donors and partner countries to provide for gender-sensitive recoveries.

The significant increase in flows of personal data has spurred policy makers to try to develop a coherent approach to privacy governance both domestically and across borders. In this context, the need for the interoperability of privacy and data protection frameworks (“privacy interoperability”) has taken on greater importance. While there is broad agreement on the importance of privacy interoperability, how to achieve this in practice is less well understood. This Going Digital Toolkit note describes the issues around ensuring the interoperability of privacy and data protection frameworks, and it highlights promising initiatives by governments and privacy enforcement authorities at the national and international levels. This note seeks to contribute to a shared understanding of privacy interoperability in the context of the governance of privacy and data protection and transborder flows of personal data.

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