The fruits of intellectual production: economic and scientific specialisation among OECD countries

This paper brings together data from 17 OECD countries on scientificpublications, patents and production, to explore the relationshipbetween scientific and economic specialisation for 17 manufacturingindustries. Since Marx, there has been a fundamental debatein economics about the link between science and the economicsystem. Marx argued that the needs of production shape scientificdevelopments and that science has become a factor of production,whereas Polanyi argued that developments in science are largelyindependent of the economic sphere. Using a panel data modeland econometric estimations at the industry level, the paperderives some hypotheses from the two positions and finds that,while the overall evidence on the link between national productionand scientific specialisation is mixed, it is important to havehigh levels of relevant to-the-industry scientific strengthper capita in order to be specialised in science-based industries.  

The structure and infrastructure of Mexico's science and technology

The structure and infrastructure of the Mexican technical literature was determined. A representative database of technical articles was extracted from the Science Citation Index for the year 2002, with each article containing at least one author with a Mexican address. Many different manual and statistical clustering methods were used to identify the structure of the technical literature (especially the science and technology core competencies). One of the pervasive technical topics identified from the clustering, thin films research, was analyzed further using bibliometrics, in order to identify the infrastructure of this technology.  

QTIP: Quick technology intelligence processes

Empirical technology analyses need not take months; they can be done in minutes. One can thereby take advantage of wide availability of rich science and technology publication and patent abstract databases to better inform technology management. To do so requires developing templates of innovation indicators to answer standard questions. Then, one can automate routines to generate composite information representations (“one-pagers”) that address the issues at hand, the way that the target users want.  

Tracking emerging technologies in energy research: Toward a roadmap for sustainable energy

Science and technology for renewable and sustainable energy are indispensable for our future society and economics. To meet the goal of sustainable energy development, there is a growing body of research efforts world wide. The planner of energy research has to grasp the broader coverage of scientific and technological research, and make decisions on effective investment in promising and emerging technologies especially under circumstances of limited resources. In this paper, we track emerging research domains in energy research by using citation network analysis. Our analysis confirms that the fuel cell and solar cell are rapidly growing domains in energy research. We further investigate the detailed structure of these two domains by clustering publications in these domains. Each citation cluster has characteristic research topics, and there is a variety of growth trends among the clusters. By using citation network analysis, we can track emerging research domains among a pile of publications efficiently and effectively.  

Comparisons of the structure and infrastructure of Chinese and Indian Science and Technology

A comparison was made of the research output literatures of India and China. Both bibliometric and computational linguistics approaches were used in the comparison. China has rapidly outpaced India in both volume and citation performance of publications. China's rapid publication growth rate over the past two decades is continuing, while India's is re-starting after a relatively dormant period of almost two decades.  

Chinese science and technology — Structure and infrastructure

This paper identifies and analyzes the science and technology core competencies of China, based on a sampling of approximately half of the total Chinese publication output in the Science Citation Index/ Social Science Citation Index (SCI/SSCI) [SCI. Certain data included herein are derived from the Science Citation Index/Social Science Citation Index prepared by the Thomson Scientific®, Inc. (Thomson®), Philadelphia, Pennsylvania, USA: © Copyright Thomson Scientific® 2006. All rights reserved. [1]] for 2005. Aggregate China publication and citation bibliometrics were obtained and a hierarchical research taxonomy, based on document clustering, was generated. Additionally, bibliometrics and thematic trends were tracked over the past two decades.The key findings were that China's output of research articles has significantly expanded in the last decade. In terms of sheer numbers of research articles, especially in cuting-edge technologies, such as nanotechnology and energetic materials, it is among the leaders. Compared to the USA, the bulk of China's articles focus on the physical and engineering sciences, while the USA articles (compared to China) focus on medical, social, and psychological sciences.  

Measures for knowledge-based economic development: Introducing data mining techniques to economic developers in the state of Georgia and the US South

The contribution of knowledge to economic growth and competitiveness has attracted increased attention. Publications with a topical focus on areas related to innovation have risen dramatically from 1963 to 2005, but more slowly in local and regional development journals. In contrast to the wide use of aggregate measures of innovation, this paper presents four cases presenting disaggregated knowledge-based approaches into the policy- and decision-making processes of economic developers in the state of Georgia and the US South. The first case uses information obtained from patents and publications to inform traditional out-of-area economic development recruitment strategies in a more knowledge-oriented direction. The second case exemplifies the use of data mining to identify top researchers as part of a strategic state economic development effort. The third case illustrates how local knowledge-based capabilities can be identified in cities not traditionally viewed as innovative. Nanotechnology-related knowledge assets in the southern United States are mapped and assessed in the fourth case. Disaggregated methods used in traditional strategies were most intuitively understood and used, but new knowledge measures were found to encourage local and state economic developers to begin to embrace new paradigms.  

Publishing performance of Spanish academics: 1970—2004

This work complements some of the results appearing in the article “Publishing Performance in Economics: Spanish Rankings” by Dolado et al. (Span Econ Rev 5: 80–103, 2003) Specifically we focus on the robustness of the results regardless of the time span considered, the effect of the choice of a particular database on the final results, and the effects on changes in the unit of institutional measure (departments vs. institutions as a whole). Differences are significant when we expand the time period considered. There are also significant but small differences if we combine datasets to derive the rankings. Finally, department rankings offer a more precise picture of the situation of the Spanish academics, although results do not differ substantially from those obtained when overall institutions are considered.  

A systematic approach for integrated trend analysis—The case of etching

Understanding technology development trends is of critical importance to countries, industries and enterprises to be sustainable in global competition. Attempts have been made to establish trend analysis by bibliometric and patent analyses. Also text-mining uncovers hidden and important information from structured or unstructured documents which serve as knowledge carriers. This study aims to provide a systematic approach for integrated trend analysis that takes into account bibliometric analysis, patent analysis and text-mining analysis. Etching is selected as the case study for integrating trend analysis method proposed in this study. Also, validity and applicability of the integrated analysis are evaluated.  

Bibliometric analysis of distributed generation

This paper presents an application of term frequency (TF) as a means of identifying useful trends from text documents. Of particular interest is the relationship between publication patterns, as characterized by TF, and the underlying technological developments. To demonstrate the usefulness of our approach, a case study on distributed generation (DG) was conducted. Important sub-domains of DG research were identified and the associated TF values were extracted using relevant keywords. The evolution of these values through time helps to highlight key trends in the development of DG-related technologies.