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Industry–academia collaboration in fuel cells: a perspective from paper and patent analysis

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  • Mu-Hsuan Huang

    (National Taiwan University)

  • Hsiao-Wen Yang

    (National Archives Administration)

  • Dar-Zen Chen

    (National Taiwan University)

Abstract

This study explores current collaboration trend between industry and academic institutions in fuel cells by examining collaborative papers and patents during the period 1991–2010. Papers and patents from industry–academia collaboration (IAC) are identified; the quantity, ratio, and their origins are analyzed; and the differences in performance of these collaborative documents between academic institutions and industrial institutions are contrasted. This study finds that quantities of industry–academia collaborative papers and patents increased annually in both academic institutions and industrial institutions. Countries with high production of papers and patents tend to produce more industry–academia collaborative papers and patents. Industrial institutions with high patent output and academic institutions with high paper output are active participants in IAC paper collaborations. Only a few pairs of industry–academic alliances have taken active part in IAC patent collaborations. Industry relies highly on collaboration with academia in paper publishing, but not in patenting, while academic institutions rarely rely on industry collaboration for paper or patent productivity.

Suggested Citation

  • Mu-Hsuan Huang & Hsiao-Wen Yang & Dar-Zen Chen, 2015. "Industry–academia collaboration in fuel cells: a perspective from paper and patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1301-1318, November.
    • Handle: RePEc:spr:scient:v:105:y:2015:i:2:d:10.1007_s11192-015-1748-6
    DOI: 10.1007/s11192-015-1748-6
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    8. Chen, Hongshu & Jin, Qianqian & Wang, Ximeng & Xiong, Fei, 2022. "Profiling academic-industrial collaborations in bibliometric-enhanced topic networks: A case study on digitalization research," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    9. Hongshu Chen & Xinna Song & Qianqian Jin & Ximeng Wang, 2022. "Network dynamics in university-industry collaboration: a collaboration-knowledge dual-layer network perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6637-6660, November.

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