PD Dr. Mirko Titze

PD Dr. Mirko Titze
Aktuelle Position

seit 4/14

Leiter des Zentrums für evidenzbasierte Politikberatung (IWH-CEP)

Leibniz-Institut für Wirtschaftsforschung Halle (IWH)

seit 1/13

Leiter der Forschungsgruppe Evaluierung von Subventionsprogrammen

Leibniz-Institut für Wirtschaftsforschung Halle (IWH)

seit 7/06

Wissenschaftlicher Mitarbeiter

Leibniz-Institut für Wirtschaftsforschung Halle (IWH)

Forschungsschwerpunkte

  • Konvergenz regionaler Wirtschaftsentwicklung (Fokus Ostdeutschland, neue Mitglieder der EU)
  • Wirksamkeit von Instrumenten der Wirtschaftsförderung

Mirko Titze ist seit Juli 2006 als wissenschaftlicher Mitarbeiter am IWH tätig. Er forscht zu Wirkungen von Subventionsprogrammen für Unternehmen und Regionen.

Mirko Titze studierte und promovierte an der Brandenburgischen Technischen Universität Cottbus-Senftenberg und habilitierte an der Martin-Luther-Universität Halle-Wittenberg. Von 2011 bis 2013 übernahm er eine dreisemestrige Lehrstuhlvertretung des Fachgebiets Volkswirtschaftslehre, insbesondere Raumwirtschaftspolitik (vormals Professor Dr. Franz-Josef Bade) an der Fakultät Raumplanung der Technischen Universität Dortmund.

Ihr Kontakt

PD Dr. Mirko Titze
PD Dr. Mirko Titze
Mitglied - Abteilung Präsidialbereich
Nachricht senden +49 345 7753-861

Publikationen

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Identifying Cooperation for Innovation―a Comparison of Data Sources

Michael Fritsch Mirko Titze M. Piontek

in: Industry and Innovation, im Erscheinen

Abstract

The value of social network analysis is critically dependent on the comprehensive and reliable identification of actors and their relationships. We compare regional knowledge networks based on different types of data sources, namely, co-patents, co-publications, and publicly subsidized collaborative R&D projects. Moreover, by combining these three data sources, we construct a multilayer network that provides a comprehensive picture of intraregional interactions. By comparing the networks based on the data sources, we address the problems of coverage and selection bias. We observe that using only one data source leads to a severe underestimation of regional knowledge interactions, especially those of private sector firms and independent researchers.

Publikation lesen

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Do Diasporas Affect Regional Knowledge Transfer within Host Countries? A Panel Analysis of German R&D Collaborations

Lutz Schneider Alexander Kubis Mirko Titze

in: Regional Studies, Nr. 1, 2019

Abstract

Interactive regional learning involving various actors is considered a precondition for successful innovations and, hence, for regional development. Diasporas as non-native ethnic groups are regarded as beneficial since they enrich the creative class by broadening the cultural base and introducing new routines. Using data on research and development (R&D) collaboration projects, the analysis provides tentative evidence that the size of diasporas positively affects the region’s share of outward R&D linkages enabling the exchange of knowledge. The empirical analysis further confirms that these interactions mainly occur between regions hosting the same diasporas, pointing to a positive effect of ethnic proximity rather than ethnic diversity.

Publikation lesen

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Public Investment Subsidies and Firm Performance – Evidence from Germany

Matthias Brachert Eva Dettmann Mirko Titze

in: Jahrbücher für Nationalökonomie und Statistik, Nr. 2, 2018

Abstract

This paper assesses firm-level effects of the single largest investment subsidy programme in Germany. The analysis considers grants allocated to firms in East German regions over the period 2007 to 2013 under the regional policy scheme Joint Task ‘Improving Regional Economic Structures’ (GRW). We apply a coarsened exact matching (CEM) in combination with a fixed effects difference-in-differences (FEDiD) estimator to identify the effects of programme participation on the treated firms. For the assessment, we use administrative data from the Federal Statistical Office and the Offices of the Länder to demonstrate that this administrative database offers a huge potential for evidence-based policy advice. The results suggest that investment subsidies have a positive impact on different dimensions of firm development, but do not affect overall firm competitiveness. We find positive short- and medium-run effects on firm employment. The effects on firm turnover remain significant and positive only in the medium-run. Gross fixed capital formation responses positively to GRW funding only during the mean implementation period of the projects but becomes insignificant afterwards. Finally, the effect of GRW-funding on labour productivity remains insignificant throughout the whole period of analysis.

Publikation lesen

Arbeitspapiere

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Identifying Cooperation for Innovation – A Comparison of Data Sources

Michael Fritsch M. Piontek Mirko Titze

in: IWH-Diskussionspapiere, Nr. 1, 2019

Abstract

The value of social network analysis is critically dependent on the comprehensive and reliable identification of actors and their relationships. We compare regional knowledge networks based on different types of data sources, namely, co-patents, co-publications, and publicly subsidised collaborative Research and Development projects. Moreover, by combining these three data sources, we construct a multilayer network that provides a comprehensive picture of intraregional interactions. By comparing the networks based on the data sources, we address the problems of coverage and selection bias. We observe that using only one data source leads to a severe underestimation of regional knowledge interactions, especially those of private sector firms and independent researchers. The key role of universities that connect many regional actors is identified in all three types of data.

Publikation lesen

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Who Benefits from GRW? Heterogeneous Employment Effects of Investment Subsidies in Saxony Anhalt

Eva Dettmann Mirko Titze Antje Weyh

in: IWH-Diskussionspapiere, Nr. 27, 2017

Abstract

The paper estimates the plant level employment effects of investment subsidies in one of the most strongly subsidized German Federal States. We analyze the treated plants as a whole, as well as the influence of heterogeneity in plant characteristics and the economic environment. Modifying the standard matching and difference-in-difference approach, we develop a new procedure that is particularly useful for the evaluation of funding programs with individual treatment phases within the funding period. Our data base combines treatment, employment and regional information from different sources. So, we can relate the absolute effects to the amount of the subsidy paid. The results suggest that investment subsidies have a positive influence on the employment development in absolute and standardized figures – with considerable effect heterogeneity.

Publikation lesen

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Identifying the Effects of Place-based Policies – Causal Evidence from Germany

Eva Dettmann Matthias Brachert Mirko Titze

in: IWH-Diskussionspapiere, Nr. 18, 2016

Abstract

The German government provides discretionary investment grants to structurally weak regions to reduce regional disparities. We use a regression discontinuity design that exploits an exogenous discrete jump in the probability of receiving investment grants to identify the causal effects of the investment grant on regional outcomes. We find positive effects for regional gross value-added and productivity growth, but no effects for employment and gross wage growth.

Publikation lesen
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