Statistical Patent Analysis Indicators as a Means of Determining Country Technological Specialisation

20 Pages Posted: 11 Apr 2013 Last revised: 26 Apr 2013

See all articles by Ekaterina Khramova

Ekaterina Khramova

National Research University Higher School of Economics

Dirk Meissner

National Research University Higher School of Economics

Galina Sagieva

National Research University Higher School of Economics

Date Written: April 10, 2013

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

JEL Classification: O31, O32, O33, O34, O47, O57, L24

Suggested Citation

Khramova, Ekaterina and Meissner, Dirk and Sagieva, Galina, Statistical Patent Analysis Indicators as a Means of Determining Country Technological Specialisation (April 10, 2013). Higher School of Economics Research Paper No. WP BRP 09/STI/2013. Available at SSRN: https://ssrn.com/abstract=2247936 or http://dx.doi.org/10.2139/ssrn.2247936

Ekaterina Khramova

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Dirk Meissner (Contact Author)

National Research University Higher School of Economics ( email )

Myasnitskaya street 20
Moscow, Moscow 119017
Russia

Galina Sagieva

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

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