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The digital economy is growing, with producers increasingly using digital technology to revolutionise their production processes, and with new business models being created based on the digital transformation. To improve the visibility of digitalisation in macroeconomic statistics, the Digital Supply and Use Tables (SUTs) framework has been developed under the auspices of the OECD’s Informal Advisory Group (IAG) on Measuring GDP in a Digitalised Economy. In the Digital SUTs framework, three dimensions are introduced for measuring the digital economy: the nature of the transaction (the 'how'), the goods and services produced (the 'what'), and the new digital industries (the 'who'). The OECD Handbook on Compiling Digital SUTs explains these three dimensions and includes examples. It also presents the high priority indicators that have been agreed by the IAG and includes recommended templates for producing the outputs.

Ces dernières années, l'économie mondiale a subi de profonds chocs qui ont eu un impact considérable sur les petites et moyennes entreprises (PME) et les entrepreneurs. Alors qu'un soutien gouvernemental rapide et massif a permis à ces entreprises de faire face aux conséquences économiques directes de la pandémie de COVID-19, de nouvelles menaces surgissent. La montée des tensions géopolitiques et des risques financiers mondiaux, une inflation élevée, le resserrement des politiques monétaires et fiscales, les pénuries de main-d'œuvre, les barrières commerciales et le ralentissement de l'intégration aux chaînes de valeur mondiales sont autant de facteurs qui contribuent à rendre l'environnement commercial des PME hostile. De plus, il est urgent d’accélérer leur contribution aux transitions verte et numérique, et de les aider à mieux s’orienter sur la scène internationale où les échanges et les investissements sont aujourd’hui en pleine mutation. Dans ce contexte, les Perspectives de l'OCDE sur les PME et l'entrepreneuriat 2023 abordent les tendances récentes en termes de performance des PME, l'évolution de leurs conditions d'activité ainsi que les implications pour l'action publique qui en découlent. Cette publication se penche également sur le thème général de l'intégration des PME à toute une série de réseaux, notamment les réseaux mondiaux de production et de chaînes d'approvisionnement, le rôle des entreprises dirigées par des femmes dans les échanges internationaux, les réseaux de connaissances et d'innovation, et les écosystèmes de compétences. De plus, l'accent est placé sur les politiques mises en place pour faciliter l'accès des PME à ces réseaux afin de leur permettre de tirer pleinement parti des transformations qu’elles subissent actuellement. Dans sa seconde partie, le rapport propose des profils statistiques nationaux qui comparent chacun des 38 pays de l'OCDE à travers toute une série d'indicateurs-clés.

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.

The shipping industry is essential for international trade, but it is also an important source of CO2 emissions. To make progress towards climate targets, countries need to monitor CO2 emissions from vessels owned by their ship operator companies. However, most shipping activity takes place outside national borders, making it more difficult to monitor than activity taking place within countries. The OECD’s experimental database on OECD.stat provides a new source of data for CO2 emissions from global shipping, which is available monthly in near real time. This data will help national statistics producers to compile their Air Emission Accounts (AEAs) for the System of Environmental Economic Accounting (SEEA). This Working Paper presents some initial results from the new data source and describes how they were produced. The method is based on granular and timely ship-level data provided by the United Nations Global Platform, and it uses a bottom-up estimation approach to produce results broken down by country and type of ship.