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This paper estimates the data intensity of occupations/sectors (i.e. the share of job postings per occupation/sector related to the production of data) using natural language processing (NLP) on job advertisements in the United Kingdom, Canada and the United States. Online job advertisement data collected by Lightcast provide timely and disaggregated insights into labour demand and skill requirements of different professions. The paper makes three major contributions. First, indicators created from the Lightcast data add to the understanding of digital skills in the labour market. Second, the results may advance the measurement of data assets in national account statistics. Third, the NLP methodology can handle up to 66 languages and can be adapted to measure concepts beyond digital skills. Results provide a ranking of data intensity across occupations, with data analytics activities contributing most to aggregate data intensity shares in all three countries. At the sectoral level, the emerging picture is more heterogeneous across countries. Differences in labour demand primarily explain those variations, with low data-intensive professions contributing most to aggregate data intensity in the United Kingdom. Estimates of investment in data, using a sum of costs approach and sectoral intensity shares, point to lower levels in the United Kingdom and Canada than in the United States.

This paper analyses persistence and change in the regional league table of entrepreneurship performance in the United States in comparison with England and Wales and West Germany. It examines whether regional rankings in start-up and self-employment rates in the United States are as sticky over time as in these European countries over approximately century, half-century and 30-year periods, or whether the United States is different. It identifies the types of regions that improve markedly ('leapfroggers') or decline sharply ('plungers') in their league table positions and the reasons for these changes and compares the countries on these issues. The paper draws out policy implications on regional levelling-up of entrepreneurship activity. It also sets out an agenda for further research.

The United States, the world’s largest economy, has made progress in reducing several environmental pressures while maintaining one of the highest Gross Domestic Products per capita in the world. It has decoupled emissions of greenhouse gases, air pollutants, water abstractions and domestic material consumption from economic and population growth. However, high consumption levels, intensive agricultural practices, climate change and urban sprawl continue to put pressure on the natural environment. Despite the recent acceleration of action to address climate change, further efforts are needed to achieve the goal of net-zero greenhouse gas emissions by 2050. The United States is also among the major contributors to marine litter with serious consequences for communities and the environment. The review provides 30 recommendations to help the United States improve its environmental performance, with a special focus on marine litter and a cross-cutting focus on environmental justice. This is the third Environmental Performance Review of the United States. It provides an independent, evidence-based evaluation of the country’s environmental performance over the past decade.

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.

This report provides a global assessment and outlook on wildfire risk in the context of climate change. It discusses the drivers behind the growing incidence of extreme wildfires and the attribution effect of climate change. It outlines the environmental, social and economic impacts of wildfires by illustrating the losses and costs observed during recent extreme wildfire events. Building on this, the report presents the findings of a cross-country comparative analysis of how countries’ policies and practices have evolved in recent years in light of observed and projected changes in wildfire risk. The analysis draws on in-depth case studies conducted in Australia, Costa Rica, Greece, Portugal and the United States. The report underlines the urgent need for governments to scale up climate change adaptation efforts to limit future wildfire costs.

Protecting people, rather than specific jobs, plays a key role in promoting labour-market inclusiveness and dynamism. Effective unemployment benefits reduce inequality, and facilitate a good match between workers’ skills and job requirements. They are a crucial policy lever for adapting to the major societal, technological and environmental transitions of our time. This report on the United States is the second of a number of OECD country reviews of income support policies. Each report analyses key policy challenges, discusses recent reform initiatives, and identifies good practices from other OECD countries. The report examines the reach and generosity of unemployment insurance and other income support for working age households, with a special focus on disadvantaged labour market groups. What are key gaps in benefit receipt between wage- and salaried employees and non-standard workers (part-time workers, those on temporary contracts, and self-employed workers including own-account workers)? What factors, including race/ethnicity and gender, drive non-entitlement to unemployment compensation? The report examines these questions, considers the impact of recent extensions to the unemployment insurance programme in response to the COVID pandemic, and outlines policy directions for strengthening out-of-work support.

This work leverages globally consistent data on parks from Google Maps, in combination with the computational power of Google Maps Directions API to quantify accessibility to parks across nearly 500 metropolitan areas in six countries: Estonia, France, Greece, Mexico, Sweden, and the United States. We combined high resolution population data from Worldpop with parks data and navigation estimates to measure: (1) Fraction of the population with access to parks within a 10-minute walk; and (2) the median walking time to the closest park. We find large differences in access to parks between countries, as well as large variability across cities and their respective commuting zones. To demonstrate how this framework can support cross country comparisons and efforts to track progress towards SDG11, we assessed access to parks by income group in selected countries, finding that the median walking time to a park is shorter for residents of low income neighbourhoods both in French and American metropolitan areas.