Evaluierung von Subventionsprogrammen

Diese Forschungsgruppe untersucht die Effekte von Produktions- und Wissensnetzwerken auf die Produktivität von Unternehmen und Regionen. Darüber hinaus werden Wirkungen staatlicher Förderprogramme für Forschung und Entwicklung sowie regionalpolitischer Programme auf die Leistungsfähigkeit von Unternehmen und Regionen evaluiert.

IWH-Subventionsdatenbank

Zentrum für evidenzbasierte Politikberatung (IWH-CEP)

Forschungscluster
Institutionen und soziale Normen

Ihr Kontakt

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

PROJEKTE

09.2019 ‐ 09.2022

Etablierung einer evidenzbasierten Evaluationskultur für industriepolitische Fördermaßnahmen in Deutschland (EVA-KULT)

Europäischer Fonds für regionale Entwicklung (EFRE)

Das Vorhaben dient dem Ausbau des Zentrums für evidenzbasierte Politikberatung am Leibniz-Institut für Wirtschaftsforschung Halle (IWH-CEP).

PD Dr. Mirko Titze

01.2018 ‐ 12.2020

Vernetzt wachsen - Innovatives Sachsen-Anhalt durch digitale Geschäftsmodelle (Kompetenzzentrum 4.0)

Bundesministerium für Wirtschaft und Energie (BMWi)

PD Dr. Mirko Titze

02.2017 ‐ 02.2018

Bedeutung außeruniversitärer Forschungseinrichtungen für die Entwicklung von Betrieben und Regionen

Bundesministerium für Bildung und Forschung (BMBF)

PD Dr. Mirko Titze

01.2017 ‐ 12.2018

Politische Partizipation in Ostdeutschland

Bundesministerium für Wirtschaft und Energie (BMWi)

Dr. Matthias Brachert

12.2015 ‐ 11.2018

Sozioökonomische Effekte der Erforschung innovativer Ansätze für die POC-Diagnostik

Bundesministerium für Bildung und Forschung (BMBF)

Teilvorhaben im Verbundprojekt “POC-Sensorplattform für chronisch-entzündliche Atemwegserkrankungen (EXASENS)”. Neun Leibniz-Institute arbeiten gemeinsam im Pilotprojekt EXASENS an der Erforschung einer Point-of-Care-Technologie zur Vorhersage und Diagnose von chronisch-entzündlichen Atemwegserkrankungen. Der Verbund wird vom Bundesministerium für Bildung und Forschung (BMBF) mit 6,25 Millionen Euro gefördert und liefert einen Beitrag zum Ausbau und zur Stärkung des Themenfeldes Gesundheitstechnologien.

Vgl. Pressemitteilung des Leibniz-Institut für Photonische Technologien (IPHT), Jena.

Dr. Matthias Brachert

01.2015 ‐ 12.2016

Evaluierung der GRW-Förderung in Sachsen-Anhalt

Investitionsbank Sachsen-Anhalt

PD Dr. Mirko Titze

Referierte Publikationen

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A Systemic View on Knowledge-based Development Metrics

Mirko Titze Michael Schwartz Matthias Brachert

in: International Journal of Knowledge-Based Development, Nr. 1, 2012

Abstract

Drawing on the systems perspective of innovation processes, this article proposes a conceptual approach for a comprehensive analysis of regional knowledge generation and transfer. Instead of focusing on one single indicator, the approach emphasizes the importance to take multiple channels of knowledge transfer into account. This provides valuable insights into the spatial structure of innovation processes on different levels. We disentangle the innovation process and consider four different layers: i.) publications in peer-reviewed journals, ii.) patent applications, iii.) formal R&D collaboration projects, the iv.) localized input-output relations. Further, we demonstrate the relevance of the „multi-layer approach‟ by applying it empirically to a specific regional innovation system: The Free State of Saxony – a federal state in Germany. We argue that the approach could be a valuable tool to inform policy-makers about knowledge-based regional development strategies.

Publikation lesen

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The Identification of Regional Industrial Clusters Using Qualitative Input-Output Analysis (QIOA)

Mirko Titze Matthias Brachert Alexander Kubis

in: Regional Studies, Nr. 1, 2011

Abstract

The 'cluster theory' has become one of the main concepts promoting regional competitiveness, innovation, and growth. As most empirical applications focus on measures of concentration of one industrial branch in order to identify regional clusters, the appropriate analysis of specific vertical relations is developing in this discussion. This paper tries to identify interrelated sectors via national input-output tables with the help of minimal flow analysis (MFA). The regionalization of these national industry templates is carried out with the allocation of branch-specific production values on regional employment. As a result, the paper shows concentrations of vertical clusters in only 27 of 439 German Nomenclature des Units Territoriales Statistiques (NUTS)-3 regions.

Publikation lesen

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Economic Structure and Regional Performance in Germany, 2002-2007

Alexander Kubis Matthias Brachert Mirko Titze

in: European Planning Studies, Nr. 2, 2012

Abstract

This paper explores the impact of industrial clusters on regional growth at the German labour market region level using a regional convergence model. Based on the results of an exploratory study of the geography of German industrial clusters, we are able to differentiate the impact of industrial clustering from a horizontal and a vertical perspective while taking regional convergence into consideration. The results indicate that in addition to an all-German process of convergence, a specific East German one can be identified. The different types of industrial clusters show mixed effects within this framework. While vertically isolated industrial clusters have a negative impact on regional growth in this period, positive growth effects can be identified when industrial clusters show an intra-regional vertical interconnectedness.

Publikation lesen

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Identifying Industrial Clusters from a Multidimensional Perspective: Methodical Aspects with an Application to Germany

Matthias Brachert Mirko Titze Alexander Kubis

in: Papers in Regional Science, Nr. 2, 2011

Abstract

If regional development agencies assume the cluster concept to be an adequate framework to promote regional growth and competitiveness, it is necessary to identify industrial clusters in a comprehensive manner. Previous studies used a diversity of methods to identify the predominant concentrations of economic activity in one industrial sector in a region. This paper is based on a multidimensional approach developed by Titze et al. With the help of the combination of concentration measures and input–output methods they were able to identify horizontal and vertical dimensions of industrial clusters. This paper aims to refine this approach by using a superior measure of spatial concentration and by integrating information about spatial interdependence of industrial cluster structures to contribute to a more adequate framework for industrial cluster identification.

Publikation lesen

Die Identifikation horizontaler und vertikaler industrieller Clusterstrukturen in Deutschland – Ein neues Verfahren und erste empirische Ergebnisse

Mirko Titze Matthias Brachert Alexander Kubis

in: Raumforschung und Raumordnung, Nr. 5, /6 2009

Abstract

Folgt man der Überlegung, dass das Clusterkonzept für die regionale Wirtschaftspolitik Ansatzpunkte bildet, um Wirtschaftswachstum sowie Wettbewerbsfähigkeit von Regionen zu fördern, so setzt dies voraus, industrielle Cluster umfassend zu identifizieren. Bisherige Untersuchungen bedienen sich dazu einer methodischen Vielfalt, ausgehend von spezifischen regionalen Fallstudien über Input-Output-Methoden hin zu verschiedenen Konzentrationsmaßen. Der vorliegende Beitrag verwendet ein für die empirische Clusterforschung neues Instrument – die Qualitative Input-Output-Analyse. Ihr wohnt nach Ansicht der Autoren die Möglichkeit inne, in Verbindung mit Konzentrationsmaßen einen Beitrag zur flächendeckenden Identifikation industrieller Cluster zu liefern. Insbesondere erlaubt die vorgestellte Methodik die Zusammenführung des Tatbestandes einer kritischen Masse von Unternehmen mit dem Merkmal der Interaktion dieser über Input-Output-Beziehungen auch auf größeren regionalen Untersuchungsebenen. Wendet man die Methodik auf die deutschen Arbeitsmarktregionen an, so wird ersichtlich, dass 103 von 270 Arbeitsmarktregionen über Ansätze horizontaler Cluster verfügen, weitere 28 Regionen beherbergen vertikale industrielle Cluster. 139 Arbeitsmarktregionen weisen gemäß dem gewählten Untersuchungsdesign weder horizontale noch vertikale Cluster auf.

Publikation lesen

Arbeitspapiere

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flexpaneldid: A Stata Command for Causal Analysis with Varying Treatment Time and Duration

Eva Dettmann Alexander Giebler Antje Weyh

in: IWH-Diskussionspapiere, Nr. 5, 2019

Abstract

The paper presents a modification of the matching and difference-in-differences approach of Heckman et al. (1998) and its Stata implementation, the command flexpaneldid. The approach is particularly useful for causal analysis of treatments with varying start dates and varying treatment durations (like investment grants or other subsidy schemes). Introducing more flexibility enables the user to consider individual treatment and outcome periods for the treated observations. The flexpaneldid command for panel data implements the developed flexible difference-in-differences approach and commonly used alternatives like CEM Matching and difference-in-differences models. The novelty of this tool is an extensive data preprocessing to include time information into the matching approach and the treatment effect estimation. The core of the paper gives two comprehensive examples to explain the use of flexpaneldid and its options on the basis of a publicly accessible data set.

Publikation lesen

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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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The Regional Effects of Professional Sports Franchises – Causal Evidence from Four European Football Leagues

Matthias Brachert

in: IWH-Diskussionspapiere, Nr. 10, 2018

Abstract

We use the locational pattern of clubs in four major professional football leagues in Europe to test the causal effect of changes in premier league membership on regional employment and output growth at the NUTS 3 level. We rely on the relegation mode of the classical round-robin tournament in the European model of sport to develop a regression-discontinuity design. The results indicate small and significant negative short-term effects on regional employment and output in the sports-related economic sector when clubs are relegated from the premier division of the respective football league. In addition, we find small negative effects on overall regional employment growth. However, total regional gross value added remains unaffected, indicating that in the main it is the less productive jobs that disappear in the short-term.

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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