A keyword selection method for mapping technological knowledge in specific sectors through patent data:the case of biofuels sector

Valeria Costantini, Francesco Crespi and Ylenia Curci ()
Additional contact information
Ylenia Curci: Department of Economics, Roma Tre University, Roma (Italy).

No 1714, SEEDS Working Papers from SEEDS, Sustainability Environmental Economics and Dynamics Studies

Abstract: In this paper we propose an innovative methodology that aims to solve drawbacks related to how patent data are allocated and organized in international databases. We propose as a case study the biofuels sector, in order to evaluate the validity of such a method. Starting with a systematic mapping of biofuels production value chain, we have built a comprehensive description of the biofuels technological domain. The resulting list of keywords relies on an iterative selection approach, based on an analysis of recent scientific literature combined with the keyword search tool developed by Scopus. The final patent database, BioPat, has been finalized by a validation procedure with the help of expert interviews, revealing improved accuracy compared with standard IPC-based codes. Collected information in BioPat allows us to derive more intriguing insights on the characteristics and evolution of technological patterns in the biofuels sector with respect to standard classification methods.

Keywords: patents classification; keyword selection; innovation patterns; liquid biofuels; knowledge complexity. (search for similar items in EconPapers)
JEL-codes: O31 O33 Q42 (search for similar items in EconPapers)
Pages: 38 pages
Date: 2014-06, Revised 2014-06
New Economics Papers: this item is included in nep-ino, nep-ipr, nep-pr~, nep-knm and nep-tid
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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http://www.sustainability-seeds.org/papers/RePec/srt/wpaper/1714.pdf First version, 2014 (application/pdf)
http://www.sustainability-seeds.org/papers/RePec/srt/wpaper/1714.pdf Revised version, 2014 (application/pdf)

Related works:
Journal Article: A keyword selection method for mapping technological knowledge in specific sectors through patent data: the case of biofuels sector (2015)
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