The Efficiency of Triple-Helix Relations in Innovation Systems: Measuring the Connection between a Country’s Net Income and Its Knowledge Base

24 Pages Posted: 8 Dec 2015

See all articles by Inga Ivanova

Inga Ivanova

National Research University Higher School of Economics

Øivind Strand

Norwegian University of Science and Technology (NTNU)

Duncan Kushnir

Chalmers University of Technology

Loet Leydesdorff

University of Amsterdam - Amsterdam School of Communication Research (ASCoR)

Date Written: December 8, 2015

Abstract

We apply the Method of Reflections developed by Hidalgo and Hausmann for measuring economic complexity to a Triple Helix system of innovations by defining the Patent Complexity Index in analogy and addition to the Economic Complexity Index and extending MR to three dimensions. PCI is operationalized in terms of patent groups instead of product groups. PCI and ECI are computed for three groups of countries. We find no correlation between economic complexity and technological complexity which means that the two measures capture different information. Adding the third dimension of governance to the Method of Reflections, one can incorporate knowledge dimension in Hidalgo and Hausmann defined ECI and use MR for evaluation the efficiency of Triple-Helix system of innovations. The Method of Reflections can thus be used for evaluating the efficiency of a TH system of innovations in terms of its contribution to the net national income.

Keywords: Triple-Helix innovation system, Method of Reflections, economic complexity, technological efficiency, patent complexity index PCI

JEL Classification: C63

Suggested Citation

Ivanova, Inga and Strand, Øivind and Kushnir, Duncan and Leydesdorff, Loet, The Efficiency of Triple-Helix Relations in Innovation Systems: Measuring the Connection between a Country’s Net Income and Its Knowledge Base (December 8, 2015). Higher School of Economics Research Paper No. #WP BRP 54/STI/2015, Available at SSRN: https://ssrn.com/abstract=2700627 or http://dx.doi.org/10.2139/ssrn.2700627

Inga Ivanova (Contact Author)

National Research University Higher School of Economics ( email )

20 Myasnitskaya St.
Moscow, 101000
Russia

Øivind Strand

Norwegian University of Science and Technology (NTNU) ( email )

N-6009 Ålesund
Ålesund
Norway

Duncan Kushnir

Chalmers University of Technology ( email )

Gothenburg
SE-412 96 Goteborg
Sweden

Loet Leydesdorff

University of Amsterdam - Amsterdam School of Communication Research (ASCoR) ( email )

PO Box 15793
Amsterdam, 1001 NG
Netherlands

HOME PAGE: http://www.leydesdorff.net

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
150
Abstract Views
1,101
Rank
368,249
PlumX Metrics