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Identification of technological structures using patent statistics

Author

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  • Michael Fung
  • William Chow†

Abstract

This paper studies the use of patent statistics in identifying four aspects of technological structure, namely, the potential knowledge pool, cumulativeness, inter-firm homogeneity in technology levels, and the scope of innovations. The firms are sampled from the chemical (CHEM), the computer (COM) and the electrical and electronic (EE) industries worldwide. Using the proxies defined, we find that (i) the contributions of intra-industry spillover are low, at 12%, 10%, and 9% for the three industries respectively; (ii) they can internalize 15%, 19% and 13% of their previous research efforts respectively; and (iii) a positive relationship between knowledge spillover and technology overlap, and between scope of innovation and number of patents being cited in future.

Suggested Citation

  • Michael Fung & William Chow†, 2003. "Identification of technological structures using patent statistics," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 12(4), pages 293-313.
  • Handle: RePEc:taf:ecinnt:v:12:y:2003:i:4:p:293-313
    DOI: 10.1080/1043859022000000826
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    Citations

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    Cited by:

    1. Suk Choi & Christopher Williams, 2014. "The impact of innovation intensity, scope, and spillovers on sales growth in Chinese firms," Asia Pacific Journal of Management, Springer, vol. 31(1), pages 25-46, March.
    2. Duan, Yunlong & Liu, Shuling & Cheng, Hao & Chin, Tachia & Luo, Xuan, 2021. "The moderating effect of absorptive capacity on transnational knowledge spillover and the innovation quality of high-tech industries in host countries: Evidence from the Chinese manufacturing industry," International Journal of Production Economics, Elsevier, vol. 233(C).
    3. Tsuimiao Chen & Ta-Lung Lu & Mei-Chih Hu, 2013. "The Trajectory of Biofuel Technological Development in Taiwan," Modern Applied Science, Canadian Center of Science and Education, vol. 7(9), pages 1-19, September.
    4. Kang, Jin-Su & Kholod, Tetyana & Downing, Stephen, 2015. "Analysis of Russia's biofuel knowledge base: A comparison with Germany and China," Energy Policy, Elsevier, vol. 85(C), pages 182-193.
    5. Francesco Schettino, 2007. "Us Patent Citations Data And Industrial Knowledge Spillovers," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 16(8), pages 595-633.

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