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Invention profiles and uneven growth in the field of emerging nano-energy

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  • Guan, Jiancheng
  • Liu, Na

Abstract

This paper aims to synthetically investigate invention profiles and uneven growth of technological knowledge in the emerging nano-energy field, based on patents data extracted from the Derwent Innovation Index (DII) database during the time period 1991–2012. The trend analysis shows that invention in this field has experienced enormous growth and also diversification over the past 22 years. The co-occurrence network of burst technology domains reveals that technology domains constantly burst, and innovative progress in nanotechnology has tremendously contributed to energy production, storage, conversion and harvesting and so on. Nano-energy patented inventions mainly come from a combinatorial process with a very limited role of developing brand-new technological capabilities. Reusing existing technological capabilities including recombination reuse, recombination creation and single reuse is the primary source of inventions. For the impacts of technology networks' embeddedness, we find that network tie strength suppresses the growth of technological knowledge domains, and network status and convergence both facilitate the growth of technological knowledge domains. We expect that this study will provide some enlightenment for inventing or creating new knowledge in emerging fields in complex technological environment.

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  • Guan, Jiancheng & Liu, Na, 2015. "Invention profiles and uneven growth in the field of emerging nano-energy," Energy Policy, Elsevier, vol. 76(C), pages 146-157.
    • Handle: RePEc:eee:enepol:v:76:y:2015:i:c:p:146-157
    DOI: 10.1016/j.enpol.2014.11.024
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    7. José Lobo & Deborah Strumsky, 2019. "Sources of inventive novelty: two patent classification schemas, same story," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 19-37, July.
    8. Guijie Zhang & Yuqiang Feng & Guang Yu & Luning Liu & Yanqiqi Hao, 2017. "Analyzing the time delay between scientific research and technology patents based on the citation distribution model," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1287-1306, June.
    9. Guan, JianCheng & Zhang, JingJing, 2018. "The dynamics of partner and knowledge portfolios in alternative energy field," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2869-2879.
    10. Brennecke, Julia & Rank, Olaf, 2017. "The firm’s knowledge network and the transfer of advice among corporate inventors—A multilevel network study," Research Policy, Elsevier, vol. 46(4), pages 768-783.
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