Arnold Verbeek

Measuring Progress and Evolution in Science and Technology - II: The Multiple Uses of Technometric Indicators

Science and technology development have become critical instruments in the public policy arena given their demonstrated impact on economic progress. As a consequence, a wide array of indicators for measuring and mapping scientific and technological activity, their progress and their outcomes, has been developed over recent decades (see for instance, European Commission, 2nd Report on S&T Indicators, 1997). The majority of these indicators relate to measuring and mapping the published journal and patent literature. In the second part of this review, we focus on a state-of-the-art overview of patent indicators and their multiple uses in supporting the development of science and technology policy. We also discuss the limitations and the pitfalls related to their use.

Linking science to technology: Using bibliographic references in patents to build linkage schemes

In this paper, we develop and discuss a method to design a linkage scheme that links the systems of science and technology through the use of patent citation data. After conceptually embedding the linkage scheme in the current literature on science-technology interactions and associations, the methodology and algorithms used to develop the linkage scheme are discussed in detail. The method is subsequently tested on and applied to subsets of USPTO patents. The results point to highly skewed citation distributions, enabling us to discern between those fields of technology that are highly science-interactive and those fields where technology development is highly independent from the scientific literature base.

Do science-technology interactions pay off when developing technology?

We investigate the relationship between the science intensity of technology domains and countrys performance within these domains. The number of references in patents to scientific articles is considered as an approximation of the science intensity of a technology domain whereas a countrys technological performance is measured in terms of its technological productivity (i.e. number of patents per capita). We use USPTO patent-data for eight European countries in ten technological domains. A variance analysis (ANOVA) is applied. Country as an independent variable does not explain a significant portion of the observed variance in science intensity (p=0.25). Technology domain, however, explains a significant portion of the observed variance (p<0.001). Moreover, in science intensive fields we find a positive relation between the science linkage intensity of these fields and the technological productivity of the respective countries involved. These findings seem to suggest the relevancy of designing innovation policies, aimed at fostering interaction between knowledge generating actors and technology producers, in a field specific manner.

Science cited in patents: A geographic "flow" analysis of bibliographic citation patterns in patents

The interplay and cross-fertilization between science and technology, but also the specific role of science for technological development, have received ample attention in both the research and the policy communities. It is in this context that the concepts of “absorptive capacity” and “knowledge spillovers” play an important role. We operationalize the science-technology link by quantifying and modeling bibliographic references to the scientific literature as they occur in patents. This approach allows exploring the associative patterns between science creation (as emerging from the scientific literature) and technology development (as emerging from the patent literature). In the current paper, we focus on an analysis of the geographic distribution of the science citation patterns in patents, singling out two fields of (different) technological development, namely biotechnology and information technology. In both fields, the science citation flows from the European, Japanese and US science bases into USPTO and EPO-patents are explored and modeled. Intensive geographic citation flows between the regions are identified, pointing (amongst others) to the strength of both the US and the European science bases as sources for technological activity and creativity around the world.

Patent Related Indicators for Assessing Knowledge-Generating Institutions: Towards a Contextualised Approach

This contribution aims at examining the extent to which patent related indicators are relevant for shedding light on the notion of excellence within knowledge-generating institutions. Traditionally, excellence has been looked upon as the ability to create interesting and valuable new scientific concepts, theories and data. From such a perspective, scientific excellence can be assessed through scientometric measures of publication output and impact. The recent interest in the ‘entrepreneurial’ phenomenon within knowledge-generating institutes justifies efforts to examine the relevancy of broadening the set of indicators used to assess such institutions into the direction of entrepreneurial excellence. In this paper we will examine the relevancy of using patent data in order to delineate such additional, more entrepreneurial oriented, indicators. The arguments and findings presented in this respect will lead us to a plea for the use of these indicators in a contextualized manner.

Patent evolution in relation to public/private R&D investment and corporate profitability: Evidence from the United States

SummaryIn this paper we analyze the (historical) co-evolution of technological development and economic progress (by relating public and private R&D investment, patenting, and corporate profitability). We relate to the work ofSchmookler(1966),Griliches(1990),Pakes&Griliches(1980) andPakes(1986) who all have studied the techno-economic interplay by considering patents as in indicator of technological performance. We use United States industry and government data over the period 1953-1998 (45 years). Co-evolution analysis over this period reveals a strong interdependency among the variables. Patent evolution is strongly related to the development of private R&D and corporate profitability; the levels of public and private R&D expenditure in combination with the level of technological output (i.e. patents) have a strong predictive and explanatory power towards corporate profitability (R2 value of 94.9%). Causality tests reveal a joint determination between R&D investment and corporate profitability (L=2; p<0.01).