Statistical patent analysis indicators as a means of determining country technological specialisation

Ekaterina Khramova (), Dirk Meissner and Galina Sagieva ()
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Ekaterina Khramova: Research Fellow, Institute for Statistical Studies and Economics of Knowledge
Galina Sagieva: Senior Research Fellow, Institute for Statistical Studies and Economics of Knowledge; Department Head, Department for Research of Intellectual Property and Technology Transfer

HSE Working papers from National Research University Higher School of Economics

Abstract: Patent data provide a rich set of information which can be used for comparative studies and trend analysis. The paper presents a systematic overview of the most appropriate tools methodologies that are available for determining the technological specialization of countries. Such analysis includes a discussion of databases, approaches, and indexes appropriate for this kind of analysis. This paper discusses different indicators of technological specialisation, concentration, and patent quality are analysed, including Revealed Technological Advantage (RTA) index, patent share, C20 concentration index, and Gini concentration index. the main available patent databases, especially those with open access, and summarizes arguments for the study of technological specialisation based on assignee and inventor patent data. Also the limits and potentials of the statistics on resident / nonresident patenting on internal and external markets are discussed in the paper.

Keywords: Revealed Technological Advantage (RTA) index; patent share; C20 concentration index; Gini concentration index; country technological position (search for similar items in EconPapers)
JEL-codes: L24 O31 O32 O33 O34 O47 O57 (search for similar items in EconPapers)
Pages: 20 pages
Date: 2013
New Economics Papers: this item is included in nep-cse, nep-ino, nep-ipr and nep-pr~
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Citations: View citations in EconPapers (9)

Published in WP BRP Series: Science, Technology and Innovation / STI, April 2013, pages 1-20

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