Publications & Documents

Addressing 21st century development challenges requires investments in innovation, including the use of new approaches and technologies. Currently, many development organisations prioritise investments in isolated innovation pilots that leverage a specific approach or technology rather than pursuing a strategic approach to expand the organisation’s toolbox with innovations that have proven their comparative advantage over what is currently used. This Working Paper addresses this challenge of adopting innovations. How can development organisations institutionalise a new way of working, bringing what was once novel to the core of how business is done? Analysing successful adoption efforts across five DAC agencies, the paper lays out a proposed process for the adoption of innovations. The paper features five case-studies and concludes with a set of lessons and recommendations for policy makers on innovation management generally, and adoption of innovation in particular.

In the face of what has increasingly been referred to as an ongoing 'permacrisis', governments must cope with and respond to emerging threats while already grappling with longstanding issues such as climate change, digital disruption and low levels of trust. In this context, understanding new approaches and spreading successful ideas has never been more important. To promote this, the OECD Observatory of Public Sector Innovation (OPSI) has analysed 1 084 innovative initiatives from 94 countries to derive and understand novel government practices. The report discusses four key trends: 1) new forms of accountability for a new era of government, 2) new approaches to care, 3) new methods for preserving identities and strengthening equity and 4) new ways of engaging citizens and residents. Ten case studies and dozens of supporting examples illustrate these trends.

Improving the resilience of farmers against external shocks is a priority for policy makers. This paper measures the resilience of a sample of farmers in the United Kingdom to assess the impact of the 2011-12 drought on their productivity and income. The analysis allows for the distinction of four resilience capacities: to prepare; to absorb the immediate impact of the shock; to adapt farming practices to a new environment; and to transform the business model, and improve productivity and income in the longer term. Results show that a single farm rarely performs strongly across these four capacities, and that those farms that best absorb the impact of the drought, perform poorly in transforming their business after the shock. While size and diversification improve absorption and adaptation, innovation is a key driver of long-term resilience to keep the pace of productivity gains. In the past, policies on agricultural risk management focused on the absorption capacity of farms and on stabilising income. Forward-looking resilience policies today need to prioritise other capacities, in particular preparedness, adaptation and transformation.

The paper discusses the implications of recent advances in artificial intelligence for knowledge workers, focusing on possible complementarities and substitution between machine translation tools and language professionals. The emergence of machine translation tools could enhance social welfare through enhanced opportunities for inter-language communication but also create new threats because of persisting low levels of accuracy and quality in the translation output. The paper uses data on online job vacancies to map the evolution of the demand for language professionals between 2015 and 2019 in 10 countries and illustrates the set of skills that are considered important by employers seeking to hire language professionals through job vacancies posted on line.

New OECD surveys of employers and workers in the manufacturing and finance sectors of seven countries shed new light on the impact that Artificial Intelligence has on the workplace —an under-researched area to date due to lack of data. The findings suggest that both workers and their employers are generally very positive about the impact of AI on performance and working conditions. However, there are also concerns, including about job loss—an issue that should be closely monitored. The surveys also indicate that, while many workers trust their employers when it comes to the implementation of AI in the workplace, more can be done to improve trust. In particular, the surveys show that both training and worker consultation are associated with better outcomes for workers.

As societies become increasingly digital, cyber security has become a priority for individuals, companies and nations. The number of cyber attacks is exceeding defence capabilities, and one reason for this is the lack of an adequately skilled cyber security workforce. This report analyses the demand for cyber security professionals in Australia, Canada, New Zealand, the United Kingdom and the United States using information contained in online job postings. The analysis looks at recent trends in the demand for workers in different types of cyber security roles, the geographical distribution of cyber security job postings, and the changing skill requirements for professionals in this field. The report also looks at the supply side, zooming in on the landscape of cyber security education and training programmes in England (United Kingdom). It describes the different types of programmes provided in further and higher education, the profile of learners in these programmes and their outcomes. Finally, the report also looks at policies and initiatives adopted in England to make cyber security education and training programmes more accessible and relevant. This report is part of a larger initiative examining the evolution of policies and experiences in the cyber security profession around the world.

This study responds to six key questions about the impact that the demand for Artificial Intelligence (AI) skills is having on labour markets. What are the occupations where AI skills are most relevant? How do different AI-relevant skills combine in job requirements? How quickly is the demand for AI-related skills diffusing across labour markets and what is the relationship between AI skill demands and the demand for cognitive skills across jobs? Finally, are AI skills leading to a wage premium and how different are the wage returns associated with AI and routine skills? To shed light on these aspects, this study leverages Natural Language Processing (NLP) algorithms to analyse the information contained in millions of job postings collected from the internet.

This paper presents new simulation results for the UK combining macroeconomic simulations in ThreeME, a computable general equilibrium model, with household-level micro-simulations with the aim to provide consistent estimates of macroeconomic and distributional consequences of policy action to curb greenhouse gas emissions. One main and overarching result is that if an economy-wide and significant carbon price is introduced it leads to large emission reductions. Macroeconomic and distributional consequences are very limited in comparison. Redistributing 30% of total tax revenue as a lump-sum transfer to households would ensure that a majority of income deciles in most regions increase their disposable income, with gains notably in the lower part of the income distribution.