The EU 2020 innovation indicator : a step forward in measuring innovation outputs and outcomes?

In October 2013, the European Commission presented a new indicator intended to capture innovation outputs and outcomes and thereby “support policy-makers in establishing new or reinforced actions to remove bottlenecks that prevent innovators from translating ideas into products and services that can be successful on the market”. This article aims to evaluate the usefulness of the new indicator against the background of the difficulties in measuring innovation outputs and outcomes. We develop a unique conceptual framework for measuring innovation outcomes that distinguishes structural change and structural upgrading as two key dimensions in both manufacturing and services. We conclude that the new indicator is biased towards a somewhat narrowly defined “high-tech” understanding of innovation outcomes. We illustrate our framework proposing a broader set of outcome indicators capturing also structural upgrading. We find that the results for the modified indicator differ substantially for a number of countries, with potentially wide-ranging consequences for innovation and industrial policies

Research, development and innovation in Flanders 2004.

Research and Development; Innovation; Flanders;

The EU 2020 innovation indicator : a step forward in measuring innovation outputs and outcomes?

In October 2013, the European Commission presented a new indicator intended to capture innovation outputs and outcomes and thereby “support policy-makers in establishing new or reinforced actions to remove bottlenecks that prevent innovators from translating ideas into products and services that can be successful on the market”. This article aims to evaluate the usefulness of the new indicator against the background of the difficulties in measuring innovation outputs and outcomes. We develop a unique conceptual framework for measuring innovation outcomes that distinguishes structural change and structural upgrading as two key dimensions in both manufacturing and services. We conclude that the new indicator is biased towards a somewhat narrowly defined “high-tech” understanding of innovation outcomes. We illustrate our framework proposing a broader set of outcome indicators capturing also structural upgrading. We find that the results for the modified indicator differ substantially for a number of countries, with potentially wide-ranging consequences for innovation and industrial policies

Classical Test Theory as a first-order Item Response Theory: Application to true-score prediction from a possibly nonparallel test

test theory, true scores, best linear predictors, test linking, nonparallel tests, simulation, Rasch Model,

Dossier 3: Sleuteltechnologieën in Vlaanderen

No ISBNedition: 2013status: publishe

State of the art insights in capturing, measuring and reporting firm-level innovation indicators

status: publishe

De totale O&O-uitgaven in Vlaanderen: GERD

no isbnedition: 2015status: publishe

Research, development and innovation in Flanders 2004

Casestatus: publishe

Innovatie-inspanningen van de Vlaamse ondernemingen: Kernresultaten van de Europese Innovatievragenlijst van 2013

no isbnedition: 2015status: publishe

O&O Activiteiten van de Vlaamse bedrijven

no isbnedition: 2015status: publishe