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Publication Type : Journal Article
Publisher : Elsevier BV
Source : Technological Forecasting and Social Change
Url : https://doi.org/10.1016/j.techfore.2007.02.004
Keywords : China, India, Science and technology, Research evaluation, Research assessment, Technology assessment, Text mining, Bibliometrics, Computational linguistics, Document clustering, Factor analysis, Correlation mapping, Core competency
Campus : Amritapuri
School : School for Sustainable Futures
Year : 2007
Abstract : Science and technology (S&T) allows (1) automation to replace human labor, (2) enhanced human labor capabilities, (3) quicker and cheaper production of goods, and (4) more complex products and processes. In order to maintain competitive advantages, it is critical for any country to understand what other countries are producing in S&T, and what intrinsic S&T capabilities are being developed.
 India and China are the two most populous countries in the world. These two dynamic economies are advancing rapidly in S&T, and it is prudent to assess the quantity and quality of their research output as well as to examine trends in their S&T capabilities.
 This paper, the first of four in a Special Section on China's and India's S&T, introduces the remaining three papers. Specifically, this paper describes the motivation for the studies, the background for understanding national S&T assessments, an overview of text mining, a brief picture of the Indian and Chinese S&T establishments, and a summary of the analytical techniques used in the assessments.
Cite this Research Publication : Ronald N. Kostoff, Sujit Bhattacharya, Michael Pecht, Assessment of China's and India's science and technology literature — introduction, background, and approach, Technological Forecasting and Social Change, Elsevier BV, 2007, https://doi.org/10.1016/j.techfore.2007.02.004