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The trend of concentration in scientific research and technological innovation: A reduction of the predominant role of the U.S. in world research & technology

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  • Huang, Mu-Hsuan
  • Chang, Han-Wen
  • Chen, Dar-Zen

Abstract

This study investigates the trend of global concentration in scientific research and technological innovation around the world. It accepts papers and patents as appropriate data for revealing the development and status of science and technology respectively. The performance of these outputs in production and citation impact is taken into consideration in the analysis. The findings suggest that both papers and patents are geographically concentrated on a small number of countries, including the United States, the United Kingdom, Japan, Germany, and France. China has made great progress in paper production and citation impact, and Taiwan and Korea have experienced a rapid growth in patents over the past years. The degree of concentration dramatically decreases when the data from the United States are excluded, indicating the effects of the U.S.’s participation on the concentration. Patents show a higher degree of concentration than papers. With time-varying aspects taken into consideration, the study indicates that the degree of concentration of papers and patents has gradually decreased over time. The concentration of patents has declined more slowly than that of papers. This decrease of the concentration is mainly due to the reduction of the predominant role of the U.S. in world R&D output.

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  • Huang, Mu-Hsuan & Chang, Han-Wen & Chen, Dar-Zen, 2012. "The trend of concentration in scientific research and technological innovation: A reduction of the predominant role of the U.S. in world research & technology," Journal of Informetrics, Elsevier, vol. 6(4), pages 457-468.
    • Handle: RePEc:eee:infome:v:6:y:2012:i:4:p:457-468
    DOI: 10.1016/j.joi.2012.03.003
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    8. Jabłońska-Sabuka, Matylda & Sitarz, Robert & Kraslawski, Andrzej, 2014. "Forecasting research trends using population dynamics model with Burgers’ type interaction," Journal of Informetrics, Elsevier, vol. 8(1), pages 111-122.
    9. Jiwon Yu & Jong-Gyu Hwang & Jumi Hwang & Sung Chan Jun & Sumin Kang & Chulung Lee & Hyundong Kim, 2020. "Identification of Vacant and Emerging Technologies in Smart Mobility Through the GTM-Based Patent Map Development," Sustainability, MDPI, vol. 12(22), pages 1-22, November.
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