Publications & Documents

Policies aimed at reducing the environmental impact of human activities have important consequences for labour markets, jobs, and skills. As employment is shifting towards more sustainable activities, workers are increasingly expected to have skills that support the transition to a greener economy. Assessing and anticipating emerging skill needs is crucial to avoid bottlenecks and sustain the green transition. This report sheds light on existing methods to measure changes in skill demand and supply related to the green transition through an in-depth review of practices in five OECD countries (Australia, Austria, France, Norway and Sweden). It also identifies best practice on how to feed information on changing skill needs into policies, notably in the areas of employment, career guidance, education and adult learning.

Le tabac est responsable de 13% des décès en France et est l'une des principales causes de maladies non transmissibles (MNT), telles que les cancers, les maladies respiratoires et cardiovasculaires. Pour renforcer sa politique de lutte antitabac, la France a mis en place un train de mesures entre 2016 et 2020 comprenant une augmentation progressive sur trois ans du prix des produits du tabac -correspondant à une augmentation de 41% du prix du paquet de cigarettes le plus vendu, le paquet neutre, une campagne annuelle de sevrage (#MoisSansTabac), et le remboursement des substituts nicotiniques. Ce rapport évalue l'impact sanitaire et économique du train de mesures de lutte antitabac, à l'aide du modèle de microsimulation de l'OCDE pour la planification stratégique de la santé publique pour les MNT (SPHeP-NCD), et il fournit une analyse de la charge du tabac en France et une évaluation économique de la campagne de marketing social pour le sevrage #MoisSansTabac.

This paper investigates the demand for language skills using data on online job vacancies in 27 European Union member countries and the United Kingdom in 2021. Evidence indicates that although Europe remains a linguistically diverse labour market, knowing English confers unique advantages in certain occupations. Across countries included in the analyses, a knowledge of English was explicitly required in 22% of all vacancies and English was the sixth most required skill overall. A knowledge of German, Spanish, French and Mandarin Chinese was explicitly demanded in between 1% and 2% of all vacancies. One in two positions advertised on line for managers or professionals required some knowledge of English, on average across European Union member countries and across OECD countries in the sample. This compares with only one in ten positions for skilled agricultural, forestry and fishery workers and among elementary occupations.

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.

Un nombre croissant de pays membres de l’OCDE fait face à un défi d’attractivité de leur fonction publique, et ce, alors même que la gestion des politiques publiques, de plus en plus complexe, requiert de nouvelles compétences. Ce document cherche à identifier les facteurs d’attractivité de la fonction publique dans les régions françaises et à travers les pays membres de l’Union européenne, notamment dans un contexte de grandes tendances de l’emploi public en constante évolution. Le premier chapitre vise à éclairer le diagnostic d’attractivité de la fonction publique d’État dans les territoires français, par le biais d’un focus principalement qualitatif sur quatre régions (Grand Est, Hauts-de-France, Île-de-France, Normandie) confrontées, en tout ou partie, à des difficultés pour attirer, recruter et fidéliser leurs agents publics. Le second chapitre, au-delà d’une meilleure compréhension des grandes tendances affectant l’emploi public à travers l’Union européenne et les pays membres de l’OCDE et des implications pour la fonction Ressources Humaines (RH), explore les mesures mises en œuvre par d’autres administrations des pays membres de l’OCDE ainsi que dans le secteur privé pour développer ou adapter leurs politiques de ressources humaines afin de mieux planifier les efforts d’attractivité.

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.

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.