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This paper presents a new edition of the project's technical guidelines including methodological guidelines, a core model questionnaire and instruction manual, and the output tables used for reporting data at the international level and related definitions.
The working papers included in this series cover a broad range of issues, of both a technical and policy-analytical nature, in the areas of science and technology.
This study uses exploratory data analysis techniques to develop typologies of innovation modes or strategies for groups of firms. Analysing micro-level survey data from 18 countries we identify five innovation modes. The coherence and relevance of the innovation modes is tested by using them as explanatory factors in equations explaining economic performance.
This paper presents comparative data on innovation in selected climate change mitigation and adaptation technologies in the context of Africa. Such analysis informs policy aimed at encouraging international technology transfer and development of domestic innovation capacities.
This paper analyses the determinants of invention in efficiency-enhancing electricity generation technologies that have the potential to facilitate climate change mitigation efforts, including fossil fuel based technologies aimed at reducing carbon emissions, renewables and nuclear technologies.
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This project aims to provide evidence of the economic value of knowledge-based capital as a new source of growth and improve understanding of current and emerging challenges for policy.
This paper presents the results of data collection across 18 countries and demonstrates that it is possible to produce new policy relevant indicators on public funding of R&D. Initial findings highlight interesting differences across countries in terms of their approaches to R&D funding.
This working paper provides estimates of the economic value created by broadband Internet using measures of new gross domestic product and consumer surplus.
Measuring the economic and social impacts of the Internet presents several challenges. This working paper reviews the rapidly changing nature of the Internet, the need for more granular data in order to understand its complexity, and the phenomenon of big data.
This paper reviews the current academic thinking on knowledge transfer channels between universities and private industry, from a human resource perspective. It also offers a general framework for "re-organising" the literature, so as to identify gaps in understanding.