The European Innovation Scoreboard: drowning by numbers?

Schibany, Andreas; Streicher, Gerhard

doi:10.3152/030234208x398512

Cited by 46 publications

(22 citation statements)

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“…1 It has also been questioned whether the same targets should be set for countries at different levels of development and different industrial structures (dominating low-tech or hightech industries) and whether the indicators used to compare countries' innovation performance, like the European Innovation Scoreboard, are always meaningful (e.g. Schibany & Streicher, 2008). While at the micro level the positive relationship between innovation and productivity is mostly revealed , the R&D is not equally important in different sectors (Kumbhakar, Ortega-Argilés, Potters, Vivarelli, & Voigt, 2012), the relationship between R&D expenditures and GDP growth does not always show up (Pessoa, 2010), there could be some necessary minimal critical level for the positive relationship to show up (Kancs & Siliverstovs, 2012).…”

Section: Introductionmentioning

confidence: 99%

The contribution of R&D to production efficiency in OECD countries: econometric analysis of industry-level panel data

Liik

Masso

Ukrainski

2014

Baltic Journal of Economics

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While research and development expenditures are considered a key to productivity growth and development, the question remains whether their contribution could depend on the particular countries' and industries' actual development levels and positions in global value chains. In this paper we analyse the relative contribution of R&D to the efficiency (productivity) on the industry and sector level in OECD countries using industry-level panel data and the stochastic frontier production function approach. The results indicate that R&D capital productivity enhancing effect increases with the level of technology; physical capital shows the opposite effect. The distribution of efficiency across industries shows remarkably different variances, reflecting different degrees of competition and the structure of value chains. Among different external factors, the share of labour with tertiary education at the national level showed a strong positive correlation with efficiency, while for other external factors the effect varied across the industries. The findings imply that in the design of R&D policy measures the structure of the industries needs to be considered.

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Section: Introductionmentioning

confidence: 99%

The contribution of R&D to production efficiency in OECD countries: econometric analysis of industry-level panel data

Liik

Masso

Ukrainski

2014

Baltic Journal of Economics

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“…For a recent assessment of some of the strengths and weaknesses of the EIS, seeSchibany and Streicher (2008).…”

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confidence: 99%

Using Innovations Surveys for Econometric Analysis

2010

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Chapter prepared for the Handbook of the Economics of Innovation, B. H. Hall and N. Rosenberg (editors). We are especially grateful to Bronwyn H.Hall for numerous comments, as well as encouragements and editorial help. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peerreviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.

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“…Despite its methodological limitations in general (Schibany and Streicher, 2008) and in the measurement of innovation in CEECs, the same picture is provided by the European Innovation Scoreboard, with both Estonia and the Czech Republic belonging to the group of moderate innovators just below the EU average (rank 16 and 18) and before most southern European countries, while Poland is in the lowest ranked group (rank 27 in 2008). Both the Czech Republic and Estonia also score significantly better than Poland in the five-year improvement of innovation performance.…”

Section: From Individual Models To a System Approachmentioning

confidence: 86%

Comparing the organization of public research funding in central and eastern European countries

et al. 2009

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In this article, we present a comparative analysis of the organization of public funding of research in three central and eastern European countries. We first compare the organization of funding agencies, the portfolio of funding instruments and, finally, the repartition of funding by beneficiaries. Further, we identify the main structural characteristics of the funding systems, by looking at features like sectoral divisions, level of delegation and the role of different institutional levels in the management of funding. Against a widespread conception of research policies in central and eastern European countries converging towards a western-style model, our study displays profound differences between the considered countries, related to history but also to contextual factors in the reform phase.

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The European Innovation Scoreboard: drowning by numbers?

Cited by 46 publications

References 0 publications

The contribution of R&D to production efficiency in OECD countries: econometric analysis of industry-level panel data

The contribution of R&D to production efficiency in OECD countries: econometric analysis of industry-level panel data

Using Innovations Surveys for Econometric Analysis

Comparing the organization of public research funding in central and eastern European countries

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