Partager

Latest Documents


  • 18-June-2019

    English

    Levelling the playing field: Dissecting the gender gap in the funding of start-ups

    The objective of this paper is to shed light on some of the determinants of success in early-stage venture capital financing bids. In particular, the work focuses on the effect of founders’ gender on investors’ funding decisions. Results from empirical analysis show that start-ups with at least one woman in the team of founders are less likely to receive funding by 5-10%.

    Related Documents
  • 14-June-2019

    English

    Can firm micro data match macro trends? Comparing MultiProd and STAN

    Better understanding of the drivers of aggregate productivity and wage inequality requires data that offer a representative picture of the underlying firm-level heterogeneity while at the same time being able to reproduce patterns observed in aggregate data. This paper compares statistics calculated with OECD MultiProd data against the benchmark of the OECD STructural ANalysis (STAN) Database.

  • 11-June-2019

    English

    Dementia

    Dementia is a devastating condition for the people affected, their family and friends, and for health systems. Through its global reach and ability to bring together government and non-government perspectives, OECD is in a unique position to face up to the challenge.

    Related Documents
  • 11-June-2019

    English

    Artificial Intelligence in Society

    The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises. Yet, as AI applications are adopted around the world, their use can raise questions and challenges related to human values, fairness, human determination, privacy, safety and accountability, among others. This report helps build a shared understanding of AI in the present and near-term by mapping the AI technical, economic, use case and policy landscape and identifying major public policy considerations. It is also intended to help co-ordination and consistency with discussions in other national and international fora.
  • 6-June-2019

    English

    Unpacking E-commerce - Business Models, Trends and Policies

    As digital transformation has accelerated, the e-commerce landscape has become increasingly dynamic. New players have emerged at the same time that established actors have taken on new roles; some barriers to e-commerce at the firm, individual and country levels have been overcome, while other barriers have emerged. Innovative business models have transformed buyer-seller relationships and pushed out the frontier of what is possible to buy and sell online. This report analyses new and emerging e-commerce business models, examines e-commerce trends along a range of dimensions, and offers new insights on the policies needed to exploit the opportunities and mitigate the challenges of unlocking the potential of e-commerce for all.
  • 22-mai-2019

    Français

    Quarante-deux pays adoptent les nouveaux Principes de l’OCDE sur l’intelligence artificielle

    Les pays membres et partenaires de l’OCDE ont officiellement adopté aujourd’hui le premier ensemble de principes directeurs intergouvernementaux sur l’intelligence artificielle (IA). Ce faisant, ils s’engagent à respecter des normes internationales visant à garantir la conception de systèmes d’IA robustes, sûrs, équitables et dignes de confiance.

    Documents connexes
  • 14-May-2019

    English

    Structural adjustment, mass lay-offs and employment reallocation

    This report provides an analysis of the incidence and determinants of mass lay-offs, controlling for the dynamics of overall employment. This in turn allows for the identification of specific policy factors that are linked to the phenomenon. The paper also investigates the re-employability prospects of workers in sectors at high risk.

    Related Documents
  • 13-May-2019

    English

    An Introduction to Online Platforms and Their Role in the Digital Transformation

    Online platforms support so many of our daily activities that we have become dependent on them in our personal and professional lives. We rely on them to buy and sell goods and services, to find information online and to keep in touch with each other. We use them for entertainment, news, transportation, accommodation, finding jobs and employees, finding apps and for many other purposes. Online platforms have also raised new and important policy questions, but the businesses themselves can be more complex than they appear so they are not always well understood. This report contains detailed profiles of twelve of the world’s leading platform companies and derives insights from those profiles about what platforms actually do, how they do it, and why they succeed financially. For example, the report finds that although platforms tend to have a number of economic characteristics in common, they also vary so greatly that they cannot be compartmentalised into just a few categories, let alone a single sector. Moreover, they do not all succeed for the same reasons. In addition, although the major Chinese platforms still have a low profile within the OECD, they are in the process of expanding globally and deserve more attention.
  • 6-May-2019

    English

    The digital innovation policy landscape in 2019

    How are OECD countries supporting digital innovation and ensuring that benefits spread across the economy? This paper explores strategies and initiatives currently implemented in OECD countries to support innovation in the digital age.

    Related Documents
  • 26-April-2019

    English

    Occupational mobility, skills and training needs

    This paper provides new analysis on how education and training policies can facilitate transitions across occupations while maintaining workers in quality jobs that make maximal use of their skill sets. The analysis also sheds light on the magnitude and type of training needed to help workers move away from occupations at high risk of automation.

    Related Documents
  • << < 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 > >>