State of an innovation system: theoretical and empirical advance towards an innovation efficiency index
AbstractInnovation is currently seen as a cornerstone not only for economic development but also as an intrinsic human activity that could help to face the great challenges of human kind. Given the importance of innovation in the new European 2020 Strategy, measuring progress but also monitoring what drives innovation becomes crucial for policy development. Following upon this strategy the new European flag initiative “Innovation Union” called for a new “single” indicator on innovation. Currently the information infrastructure on innovation in Europe contains a number of indicators. Most of the current indicators at the national or sector levels use a performance theoretical framework based on an efficiency model of inputs and outputs. The last five editions of CIS have been a bastion of innovation policy research during the last decade. Despite this, CIS has been criticised for not having an umbrella framework that unifies its different underpinnings to explain what drives innovation to actual innovation and economic outcomes. In this paper we propose a framework that enables the theoretical and empirical linkages between the drivers of innovation to innovation performance via the integration of core features determining innovative behaviour in to a single composite. This index enables to assess the total propensity of firms to innovate and assess the relative innovation performance at the sector and country level. The approach adopted here to create the index overcomes long standing theoretical and methodological issues related to the reduction of complexity in a meaningful form, scope, aggregation, normalisation and validation of innovation composites. The empirical demonstration of the index was done using CIS4 data and the results validate the theoretical structure and robustness of the proposed model. This enables its replication for innovation policy analysis in different settings. The model underlying the proposed index provides not only a depiction of the efficiency of the innovation system but also a link to economic performance and to the factors that determine relative performance.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 38002.
Date of creation: 28 Oct 2011
Date of revision:
Innovation indicators; Innovation performance; innovation efficiency; innovation intensity; theory of planned behaviour; CIS; single indicator; composite indicators; sectoral innovation indicators; behavioral economics; psychological economics;
Find related papers by JEL classification:
- D03 - Microeconomics - - General - - - Behavioral Microeconomics; Underlying Principles
- D7 - Microeconomics - - Analysis of Collective Decision-Making
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
- O3 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-04-17 (All new papers)
- NEP-CSE-2012-04-17 (Economics of Strategic Management)
- NEP-EUR-2012-04-17 (Microeconomic European Issues)
- NEP-INO-2012-04-17 (Innovation)
- NEP-KNM-2012-04-17 (Knowledge Management & Knowledge Economy)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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