Productivity and Innovation Economy: Comparative Analysis of European Nuts Ii, 1995–2004

Vieira, Elvira; Neira, Isabel; Rozas, Emilia Vázquez

doi:10.1080/00343404.2010.486781

Cited by 12 publications

(7 citation statements)

References 24 publications

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“…Most of the existing analyses of productivity differences at the regional level have focused on labour productivity (LP), measured simply as output per worker (Corrado, Martin, & Weeks, 2005;Esteban, 2000;Gardiner, Martin, & Tyler, 2004;Vieira, Neira, & Vázquez, 2011). This is because LP can be calculated easily from available data on output and employment.…”

Section: Introductionmentioning

confidence: 99%

Regional economic development in Europe: the role of total factor productivity

2017

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Regional economic development in Europe: the role of total factor productivity. Regional Studies. This paper documents the fact that the large and persistent differences in economic development across subnational regions in European Union countries can largely be attributed to differences in total factor productivity (TFP). Applying the technique of development accounting, the paper decomposes differences in output per worker across 257 European Union regions into a component due to the local availability of production factors and a component due to TFP. As the analysis reveals, TFP differences are large even within countries, and are strongly related to economic geography and historical development paths. This suggests limited interregional diffusion of technology and of efficient production practices. L'aménagement du territoire en Europe: le rôle de la productivité globale des facteurs. Regional Studies. Cet article démontre que les importants écarts de développement économique qui persistent à travers les régions infranationales situées dans les pays-membres de l'Union européenne s'expliquent dans une large mesure par les écarts de productivité globales des facteurs (PGF). En appliquant la méthode de la comptabilité de développement (development accounting), on décompose les écarts de rendement par travailleur selon 257 régions de l'Union européenne en une composante relative à la disponibilité locale des facteurs de production et une deuxième composante qui s'explique par la PGF. Comme laisse voir l'analyse, les écarts de PGF s'avèrent importants même au sein des pays, et se rapportent étroitement à la géographie économique et aux sentiers de développement historiques. Cela laisse supposer une diffusion interrégionale limitée de la technologie et des procédés de production efficaces. MOTS-CLÉSaménagement du territoire; productivité globale des facteurs; comptabilité de développement; régions européennes

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Section: Introductionmentioning

confidence: 99%

Regional economic development in Europe: the role of total factor productivity

2017

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“…To provide an overview, Figure 1 shows the regional density of the 262 cluster organizations in the European life sciences sector that appear in the overall sample . To display and analyse the data, the NUTS-2 level is used, because this territorial unit represents the larger administrative region that is typically applied to define regional policy and to analyse regional issues (Vieira et al., 2011). The figure shows that nine regions display a relatively high density of cluster organizations of more than five cluster organizations per NUTS-2 region.…”

Section: Empirical Findingsmentioning

confidence: 99%

Revealed competition between cluster organizations: An exploratory analysis of the European life sciences sector

2018

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Extant cluster policy research has largely ignored the particular role that cluster organizations play in reifying cluster policies in practice. Based on a survey of 163 cluster organizations in the European life sciences sector, this study explores the heterogeneity of cluster organizations in geographic space and examines whether and where revealed competition-defined as the combined overlap in service offerings, sub-sectoral focus and funding sources-between life science cluster organizations within European regions is most apparent. The findings indicate that the degree of functional and sectoral substitutability of cluster organizations differs substantially across Europe, though some regions, particularly in Spain, Denmark, France and Estonia, are more prone to revealed competition.

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“…In this context, we can think on innovation as an ongoing and complex process of learning and applying new ideas and technologies. Of course, the referred process deriving from innovation is accumulative and relies heavily on the ability of the country or region to develop such efforts for special factors like the quality of education, the availability of knowledge infrastructure-universities and research centers-and the efficient functioning of the markets (Vieira et al [10]). These innovations must be reflected in the competitiveness of countries and regions.…”

Section: The Interconnectivity Among Education Innovation and Producmentioning

confidence: 99%

“…Vieira et al [10] emphasize the importance of the input of innovation in the production process as a way to maximize the capacity and efficiency of the labor factor, translated into its productivity. Their empirical findings point to a positive influence of innovation and labor productivity in the European regions.…”

Section: The Interconnectivity Among Education Innovation and Producmentioning

confidence: 99%

Contribution of Education and Innovation to Productivity among Mexican Regions: A Dynamic Panel Data Analysis

Germán–Soto¹,

Flores²

2015

TEL

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A dynamic panel data (DPD) model is estimated to assess the contribution of the average schooling years, the education expenditure and the inventive coefficient-as an approximation for innovation-to the increased productivity of the Mexican states. The potential difficulties of endogeneity and serial correlation are controlled by adopting system General Method of Moments (GMM) procedures. The findings are compatible with the theory. The importance of the lags is confirmed and the positive and significant impacts on productivity tend to vary according to the income level and the geographical location of the regions. Innovation is an important contributor to northern, central and richer states' productivity, but education expenditure is important for the poorer states and scholarly attainment stands out in the southern states. The analysis emerging from the model concludes that these regional differences should be seen as a potential opportunity for designing customized policies capable of increasing the productivity and not as a weakness.

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Productivity and Innovation Economy: Comparative Analysis of European Nuts Ii, 1995–2004

Cited by 12 publications

References 24 publications

Regional economic development in Europe: the role of total factor productivity

Regional economic development in Europe: the role of total factor productivity

Revealed competition between cluster organizations: An exploratory analysis of the European life sciences sector

Contribution of Education and Innovation to Productivity among Mexican Regions: A Dynamic Panel Data Analysis

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