Authors:Ling-Chu Lee, Yi-Yang Lee, and Yi-Ching Liaw
Due to rapid environmental change, policymakers no longer choose foresight issues based on their own experience. Instead, they need to consider all the possible factors that will influence new technological developments and formulate an appropriate future technological development strategy to the country through the technology foresight system. For the sake of gathering more objective evidence to convince stakeholders to support the foresight issues, researchers can employ bibliometric analysis to describe current scientific development and forecast possible future development trends. Through this process, a consensus is reached about the direction of future technology development. However, we believe that bibliometric analysis can do more for technology policy formulation, such as (1) offer quantitative data as evidence to support the results of qualitative analysis; (2) review the situations of literature publication in specific technological fields to seize the current stage of technology development; and (3) help us grasp the relative advantage of foresight issues development in Taiwan and the world and develop profound strategic planning in accordance with the concept of Revealed Comparative Advantage. For those reasons, our research will revisit the role that bibliometric analysis plays for nations while choosing the foresight issues. In addition, we will analyze the development of the technology policy in Taiwan based on bibliometric analysis, and complete the foresight issues selection by processing key issue integration, key word collection related to this field, the searching and confirmation of literature, development opportunities exploration, comparative development advantage analysis and the innovation-foresight matrix construction, etc.
Authors:Wen-Chi Hung, Ling-Chu Lee, and Min-Hua Tsai
This paper presents a methodology for measuring the improvements in efficiency and adjustments in the scale of R&D (Research
& Development) activities. For this purpose, this study decomposes academic productivity growth into components attributable
to (1) world academic frontier change, (2) R&D efficiency change, (3) human capital accumulation, and (4) capital accumulation.
The world academic frontier at each point in time is constructed using data envelopment analysis (DEA). This study calculates
each of the above four components of academic productivity for 27 countries over 1990–2003, and finds that the components
which contribute to academic productivity growth vary with the different countries’ characteristics and development stages.
Human capital has more weight in terms of the quantity of academic research, and capital accumulation plays a more important
role in the citation impact of academic research.
Authors:Ling-Chu Lee, Pin-Hua Lin, Yun-Wen Chuang, and Yi-Yang Lee
The correlation between GDP and research publications is an important issue in scientometrics. This article provides further empirical evidence connecting revealed comparative advantage in national research with effects on economic productivity. Using quantitative time series analysis, this study attempts to determine the nature of causal relationships between research output and economic productivity. One empirical result is that there is mutual causality between research and economic growth in Asia, whereas in Western countries the causality is much less clear. The results may be of use to underdeveloped nations deciding how to direct their academic investment and industry policy.