Fast-Tracking 'Green' Patent Applications: An Empirical Analysis

Antoine Dechezleprêtre

CEP Discussion Papers from Centre for Economic Performance, LSE

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.

Keywords: green patent application; green innovation; Intellectual Property; sustainable development (search for similar items in EconPapers)
Date: 2013-03
New Economics Papers: this item is included in nep-cwa, nep-env, nep-ino, nep-ipr and nep-pr~
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://cep.lse.ac.uk/pubs/download/dp1197.pdf (application/pdf)

Related works:
Working Paper: Fast-tracking 'green' patent applications: an empirical analysis (2013)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cep:cepdps:dp1197

Access Statistics for this paper

More papers in CEP Discussion Papers from Centre for Economic Performance, LSE
Bibliographic data for series maintained by ().