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Growth behavior of publications and patents: A comparative study on selected Asian economies

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  • Wong, Chan-Yuan
  • Goh, Kim-Leng

Abstract

This study attempts to model the growth behavior of the number of publications and patents of South Korea, Taiwan, Japan and Malaysia. Three competing growth functions, namely, simple logistic growth function, bi-logistic growth function and logistic function within a dynamic carrying capacity were considered. The findings provide insight to the diffusion process of science and technology, often measured by the number of publications and patents, respectively. The function that provides the best fit to the observed data was opted for explaining the diffusion process. The function with the best fit is the bi-logistic growth function for the number of publications as well as the number of patents of South Korea and Taiwan, the logistic growth function within a dynamic carrying capacity (LGDCC) for the number of publications and the bi-logistic growth function for the number of patents of Japan, and the LGDCC for the number of publications and simple growth function for the number of patents of Malaysia. The results suggest a dynamic self-propagating growth for the science and technology, and thereby a transition from science and technology-push to market-pull growth for South Korea and Taiwan. While a similar transition was observed for the technology of Japan, the growth in science had entered a maturity stage. On the other hand, the growth potential in science is dynamic for Malaysia, but its technological advancement is relatively lower and static compared to the other economies.

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  • Wong, Chan-Yuan & Goh, Kim-Leng, 2010. "Growth behavior of publications and patents: A comparative study on selected Asian economies," Journal of Informetrics, Elsevier, vol. 4(4), pages 460-474.
    • Handle: RePEc:eee:infome:v:4:y:2010:i:4:p:460-474
    DOI: 10.1016/j.joi.2010.04.002
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    3. Sangwal, Keshra, 2015. "On the growth dynamics of citations of articles by some Nobel Prize winners," Journal of Informetrics, Elsevier, vol. 9(3), pages 466-476.
    4. Chan-Yuan Wong, 2013. "On a path to creative destruction: science, technology and science-based technological trajectories of Japan and South Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 323-336, July.
    5. Keshra Sangwal, 2012. "Progressive nucleation mechanism for the growth behavior of items and its application to cumulative papers and citations of individual authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 575-591, September.
    6. Wong, Chan-Yuan & Wang, Lili, 2015. "Trajectories of science and technology and their co-evolution in BRICS: Insights from publication and patent analysis," Journal of Informetrics, Elsevier, vol. 9(1), pages 90-101.
    7. Kang, Inje & Yang, Jiseong & Lee, Wonjae & Seo, Eun-Yeong & Lee, Duk Hee, 2023. "Delineating development trends of nanotechnology in the semiconductor industry: Focusing on the relationship between science and technology by employing structural topic model," Technology in Society, Elsevier, vol. 74(C).
    8. Jung Cheol Shin & Soo Jeung Lee & Yangson Kim, 2012. "Knowledge-based innovation and collaboration: a triple-helix approach in Saudi Arabia," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 311-326, January.
    9. Sangwal, Keshra, 2011. "Progressive nucleation mechanism and its application to the growth of journals, articles and authors in scientific fields," Journal of Informetrics, Elsevier, vol. 5(4), pages 529-536.
    10. Tang, Chor Foon & Tan, Eu Chye, 2013. "Exploring the nexus of electricity consumption, economic growth, energy prices and technology innovation in Malaysia," Applied Energy, Elsevier, vol. 104(C), pages 297-305.
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    12. Guifeng Liu, 2013. "Visualization of patents and papers in terahertz technology: a comparative study," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1037-1056, March.
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