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Inventive concentration in the production of green technology: A comparative analysis of fuel cell patents

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  • Catherine Liston-Heyes
  • Alan Pilkington

Abstract

Patterns of ‘inventive concentration’ in green technologies are measured and analysed using patent data on fuel cells — potentially one of the most important ‘green’ technologies. Six measures are described and tested: the coefficient of variation; the Herfindhal index; the 4-firm and 8-firm concentration ratios; the Lotka coefficient; and the Gini coefficient. Initially, the analysis focuses on US firms but becomes comparative to include Japan, Germany, UK, France, Canada, Australia, Switzerland, Italy, Sweden, Netherlands, and Israel. This allows the level of agreement among the various measures to be assessed and the nations to be ranked in terms of the concentration of their fuel cell patent production. This sector is concentrated in all 12 nations with Canada (Sweden) exhibiting high (low) levels of concentration across all measures. These are discussed in the context of recently published international ratings of national innovative capacity along with directions for future research. Copyright , Beech Tree Publishing.

Suggested Citation

  • Catherine Liston-Heyes & Alan Pilkington, 2004. "Inventive concentration in the production of green technology: A comparative analysis of fuel cell patents," Science and Public Policy, Oxford University Press, vol. 31(1), pages 15-25, February.
    • Handle: RePEc:oup:scippl:v:31:y:2004:i:1:p:15-25
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    File URL: http://hdl.handle.net/10.3152/147154304781780190
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    Citations

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    Cited by:

    1. Antje Klitkou & Stian Nygaard & Martin Meyer, 2007. "Tracking techno-science networks: A case study of fuel cells and related hydrogen technology R&D in Norway," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(2), pages 491-518, February.
    2. Salman Ali & Syed Mizanur Rahman, 2020. "R&D Expenditure in a Competitive Landscape: A Game Theoretic Approach," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 19(1), pages 47-60, June.
    3. Inchae Park & Yujin Jeong & Byungun Yoon, 2017. "Analyzing the value of technology based on the differences of patent citations between applicants and examiners," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 665-691, May.
    4. Xue Yang & Hao Zhang & Die Hu & Bingde Wu, 2023. "The timing dilemma: understanding the determinants of innovative startups’ patent collateralization for loans," Small Business Economics, Springer, vol. 60(1), pages 371-403, January.
    5. Yuen-Hsien Tseng & Ming-Yueh Tsay, 2013. "Journal clustering of library and information science for subfield delineation using the bibliometric analysis toolkit: CATAR," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 503-528, May.
    6. Daniel Nepelski & Giuditta De Prato, 2020. "Technological complexity and economic development," Review of Development Economics, Wiley Blackwell, vol. 24(2), pages 448-470, May.
    7. Yuen-Hsien Tseng & Chun-Yen Chang & M. Shane Tutwiler & Ming-Chao Lin & James P. Barufaldi, 2013. "A scientometric analysis of the effectiveness of Taiwan’s educational research projects," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 1141-1166, June.
    8. Maurizio Naldi & Marta Flamini, 2014. "The CR4 index and the interval estimation of the Herfindahl-Hirschman Index: an empirical comparison," Working Papers hal-01008144, HAL.
    9. Leoncini, Riccardo & Montresor, Sandro & Rentocchini, Francesco, 2016. "CO2-reducing innovations and outsourcing: Evidence from photovoltaics and green construction in North-East Italy," Research Policy, Elsevier, vol. 45(8), pages 1649-1659.

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