This book addresses the rising productivity gap between the global frontier and other firms, and identifies a number of structural impediments constraining business start-ups, knowledge diffusion and resource allocation (such as barriers to up-scaling and relatively high rates of skill mismatch).
Analysis based on micro and industry-level data highlights the importance of reallocation-friendly policies, including well-functioning product, labour and risk capital markets, efficient judicial systems, bankruptcy laws that do not excessively penalise failure, housing policies that do not unduly restrict labour mobility, and improvements in public funding and organisation of basic research which do not excessively favour applied vs basic research and incumbents vs young firms.
This workshop on Supply and Demand in the Shipbuilding Industry aimed at increasing transparency in the market, which is expected, in particular, to provide a better comprehension of the magnitude and the sources of oversupply and overcapacity. This will improve our understanding of certain policies leading to such market distortions.
The OECD Committee for Scientific and Technological Policy held a Ministerial-level meeting in Daejeon, Korea on 20-21 October 2015. Discussions addressed innovation strategies, impact of public investment, science policies for the 21st century, science and innovation for health, new technologies for a sustainable future and the green economy, and science and innovation for global inclusiveness.
Science, technology and innovation foster competitiveness, productivity and growth. Over 200 indicators in the OECD Science, Technology and Industry (STI) Scoreboard show how OECD and major non-OECD economies are starting to move beyond the crisis, increasingly investing in the future.
The charts and underlying data in the OECD STI Scoreboard 2015 are available for download and selected indicators contain additional data expanding the time and country coverage of the print edition.
Open science commonly refers to efforts to make the output of publicly funded research more widely accessible in digital format to the scientific community, the business sector, or society more generally.
Well-timed and targeted innovation boosts productivity, increases economic growth and helps solve societal problems. But how can governments encourage more people to innovate more of the time? And how can government itself be more innovative?
The OECD Innovation Strategy provides a set of principles to spur innovation in people, firms and government. It takes an in-depth look at the scope of innovation and how it is changing, as well as where and how it is occurring, based on updated research and data.
The internationally recognised methodology for collecting and using R&D statistics, the OECD's Frascati Manual is an essential tool for statisticians and science and innovation policy makers worldwide. It includes definitions of basic concepts, data collection guidelines, and classifications for compiling R&D statistics. This updated edition contains improved guidelines reflecting recent changes in the way R&D takes place and is funded and the wider use of R&D statistics and definitions. It provides new chapters dedicated to the pratical aspects of collecting R&D data in different sectors, as well as new guidance on capturing different aspects of public support for R&D such as tax incentives.
The Trade in Value Added initiative accounts for the double counting implicit in gross flows of trade, and measures flows related to value added in production of goods or services
Greater access and use of data creates a wide array of policy issues, such as privacy and consumer protection, open data access, skills and employment, and measurement to name a few. The OECD is undertaking extensive analysis on the role of data in promoting innovation, growth and well-being.
Today, the generation and use of huge volumes of data are redefining our “intelligence” capacity and our social and economic landscapes, spurring new industries, processes and products, and creating significant competitive advantages. In this sense, data-driven innovation (DDI) has become a key pillar of 21st-century growth, with the potential to significantly enhance productivity, resource efficiency, economic competitiveness, and social well-being.
Greater access to and use of data create a wide array of impacts and policy challenges, ranging from privacy and consumer protection to open access issues and measurement concerns, across public and private health, legal and science domains. This report aims to improve the evidence base on the role of DDI for promoting growth and well-being, and provide policy guidance on how to maximise the benefits of DDI and mitigate the associated economic and societal risks.