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Fast-tracking �green� patent applications: an empirical analysis

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  • Antoine Dechezlepr�tre

Abstract

This paper presents the first empirical analysis of programmes to fast-track �green� patent applications in place in seven Intellectual Property offices around the world. We find that only a small share of green patent applications (between 1% and 20% depending on the patent office) request accelerated examination, suggesting that patent applicants have a strong incentive to keep their patent applications in the examination process for as long as possible. Fast-tracking programmes reduce the examination process by several years compared to patents going through normal examination procedure and have seemingly accelerated the diffusion of technological knowledge in green technologies. In addition, we find that applicants require accelerated examination for patents of relatively higher value and that fast-tracking programmes seem to be particularly appealing to start-up companies in the green technology sector that are currently raising capital but still generate small revenue.

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  • Antoine Dechezlepr�tre, 2013. "Fast-tracking �green� patent applications: an empirical analysis," GRI Working Papers 107, Grantham Research Institute on Climate Change and the Environment.
    • Handle: RePEc:lsg:lsgwps:wp107
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    1. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 577-598.
    2. Lanjouw, Jean O & Pakes, Ariel & Putnam, Jonathan, 1998. "How to Count Patents and Value Intellectual Property: The Uses of Patent Renewal and Application Data," Journal of Industrial Economics, Wiley Blackwell, vol. 46(4), pages 405-432, December.
    3. Giovanni Peri, 2005. "Determinants of Knowledge Flows and Their Effect on Innovation," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 308-322, May.
    4. Bruno Van Pottelsberghe & Herman Denis & Dominique Guellec, 2001. "Using patent counts for cross-country comparisons of technology output," ULB Institutional Repository 2013/6227, ULB -- Universite Libre de Bruxelles.
    5. Jean O. Lanjouw & Ariel Pakes & Jonathan Putnam, 1998. "How to Count Patents and Value Intellectual Property: The Uses of Patent Renewal and Application Data," Journal of Industrial Economics, Wiley Blackwell, vol. 46(4), pages 405-432, December.
    6. Hélène Dernis & Mosahid Khan, 2004. "Triadic Patent Families Methodology," OECD Science, Technology and Industry Working Papers 2004/2, OECD Publishing.
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