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Timo Mitze
University of Southern Denmark
92Publications
9H-index
271Citations
Publications 92
Newest
#1Teemu Makkonen (University of Surrey)H-Index: 9
#2Timo Mitze (University of Southern Denmark)H-Index: 9
We apply panel econometrics to assess the causal linkages between education, research and innovation (R&I) and economic development for EU-28 countries over the time period 1998–2013. Since this period coincides with the biggest enlargement wave in the EU’s history, we particularly aim at identifying the degree of heterogeneity in this nexus between and within the groups of old (EU-15) and new member states (NMS-13). Our empirical results support the view that education- and R&I-driven economic ...
#1Timo Mitze (University of Southern Denmark)H-Index: 9
#2Teemu Makkonen (University of Eastern Finland)H-Index: 9
This work studies the linkages between spatially bound knowledge spillovers, internal research, and innovation (R&I) activities and firm productivity. Spillovers are modeled to emanate from intra- and extra-sectoral R&I activities in the firms’ regional business environments. We specifically test for non-linearities in the complex relationship between these internal and external knowledge sources and quantify their joint marginal effect on firm productivity. Our empirical results for a large pan...
The global economic crisis has strongly affected Europe's economic geography. This study investigates the role of local labour market disparities in determining regional net in‐migration rates. While only a weak link is detected in the precrisis period, the local labour market context of migration grows significantly stronger during the crisis. Decompositions of the estimation results show that changes in migration rates are firstly a result of widened disparities across European regions through...
#1Philipp Breidenbach (RWI Essen)H-Index: 2
#2Timo Mitze (University of Southern Denmark)H-Index: 9
Last.Christoph M. Schmidt (RUB: Ruhr University Bochum)H-Index: 28
view all 3 authors...
The European structural and investment funds (ESIF) constitute the prime instrument of EU regional policy. We study the ESIF's effectiveness in terms of fostering intra‐EU income convergence through investment support to lagging regions. Our empirical results for the period 1997–2007 indicate that the ESIF's contribution to income growth is insignificant or even negative for several peripheral EU regions. We argue that the negative link between funding and regional growth is mainly attributable ...
#1Timo Mitze (University of Southern Denmark)H-Index: 9
#2Falk StrotebeckH-Index: 1
Abstract This article describes a data set to map and model research collaborations in German biotechnology. Underlying micro-data for firms and institutions in the biotech sector together with information on their research collaboration partners have been extracted from a commercial industry directory, the BIOCOM Year and Address book, for 2005 and 2009. The data have been processed and aggregated to the level of NUTS3 regions. This core data set has been linked to regional covariates which mea...
#1Timo Mitze (University of Southern Denmark)H-Index: 9
#2Falk StrotebeckH-Index: 1
This paper analyses the determinants of link formation in Germany's biotech research network. Given the significance of regional clusters in the national biotech landscape, the modeling framework adopts a regional perspective and uses small-scale NUTS3 regions as nodes of the national biotech network. Linkages between nodes are measured by the number of active research collaborations between biotech actors located in these regions. The degree of the interregional collaboration activity between r...
#1Timo Mitze (University of Southern Denmark)H-Index: 9
#2Falk StrotebeckH-Index: 1
This study analyzes the determinants of a region’s centrality position in research collaboration networks and their variation over time. Focusing on the German biotechnology industry, we use data on collaboration activities among NUTS-3 regions in 2005 and 2009 to construct centrality measures and relate them to sector-region-specific and overall regional attributes in an explorative regression approach. The results indicate that fit-get-richer mechanisms proxied by regional endowments and polic...
#1Teemu Makkonen (UTA: University of Tampere)H-Index: 9
#2Allan M. Williams (University of Surrey)H-Index: 40
Last.Adi Weidenfeld (Coventry University)H-Index: 9
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Given the sheer number of cross-border regions (CBRs) within the EU, their socio-economic importance has been recognized both by policy-makers and academics. Recently, the novel concept of cross-border regional innovation system has been introduced to guide the assessment of integration processes in CBRs. A central focus of this concept is set on analyzing the impact of varying types of proximity (cognitive, technological, etc.) on cross-border cooperation. Previous empirical applications of the...
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