The S&T Statistical Compendium 2004 looks at the state of science and technology in the OECD across four broad dimensions: innovation and R&D; human resources in science and technology (HRST); patents; and other areas (ICT, globalisation, industrial structure).
This paper explores trade in goods by creating an indicator that estimates CO2 emissions related to domestic demand for 24 countries (responsible for 80% of global CO2 emissions) as a complement to the more common emission indicator used in the Kyoto Protocol
This paper examines the factors that have contributed to the growing popularity of R&D spending targets and analyses in more detail the economic and structural consequences of achieving the increased levels of R&D spending.
This paper provides input and a framework for a broader discussion of the identification of user needs that should inform the development of biotechnology statistics and indicators.
This document reports findings regarding the use of patents data for understanding various dimensions of technical change in health-related areas.
This paper seeks to improve understanding of the links between innovation and competition policy. It is intended to help countries identify ways in which they can design and implement policies that best promote innovation while protecting against anti-competitive behaviour.
Using two waves of the Community Innovation Survey (CIS) for the Netherlands, this paper integrates recent lines of research to estimate the contribution of innovation to manufacturing multifactor productivity (MFP) growth.
While patent data are now readily available for most nations, these data are still of minimal use for economic analysis. The OECD Technology Concordance (OTC) presented in this paper allows researchers to transform IPC-based patent data into patent counts by sector of the economy.
Services are the driving force in OECD economies, accounting for at least 70% of GNP in many countries. However, their potential contribution is hampered by government policies that were designed for manufacturing industries.
This study investigates the long-term effects of various types of R&D on multifactor productivity growth, which is the spillover effect of R&D. Econometric estimates are conducted on a panel of 16 OECD countries, over the period 1980-98. All results are averages over countries and time.