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

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

02.2017 ‐ 02.2018

Bedeutung außeruniversitärer Forschungseinrichtungen für die Entwicklung von Betrieben und Regionen

Bundesministerium für Bildung und Forschung (BMBF)

PD Dr. Mirko Titze

01.2015 ‐ 12.2016

Evaluierung der GRW-Förderung in Sachsen-Anhalt

Investitionsbank Sachsen-Anhalt

PD Dr. Mirko Titze

Referierte Publikationen

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R&D Collaborations and the Role of Proximity

Philipp Marek Mirko Titze Clemens Fuhrmeister Ulrich Blum

in: Regional Studies, Nr. 12, 2017

Abstract

R&D collaborations and the role of proximity. Regional Studies. This paper explores the impact of proximity measures on knowledge exchange measured by granted research and development (R&D) collaboration projects in German NUTS-3 regions. The results are obtained from a spatial interaction model including eigenvector spatial filters. Not only geographical but also other forms of proximity (technological, organizational and institutional) have a significant influence on the emergence of collaborations. Furthermore, the results suggest interdependences between proximity measures. Nevertheless, the analysis does not show that other forms of proximity may compensate for missing geographical proximity. The results indicate that (subsidized) collaborative innovation activities tend to cluster.

Publikation lesen

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Benchmark Value-added Chains and Regional Clusters in R&D-intensive Industries

Reinhold Kosfeld Mirko Titze

in: International Regional Science Review, Nr. 5, 2017

Abstract

Although the phase of euphoria seems to be over, policy makers and regional agencies have maintained their interest in cluster policy. Modern cluster theory provides reasons for positive external effects that may accrue from interaction in a group of proximate enterprises operating in common and related fields. Although there has been some progress in locating clusters, in most cases only limited knowledge on the geographical extent of regional clusters has been established. In the present article, we present a hybrid approach to cluster identification. Dominant buyer–supplier relationships are derived by qualitative input–output analysis from national input–output tables, and potential regional clusters are identified by spatial scanning. This procedure is employed to identify clusters of German research and development-intensive industries. A sensitivity analysis reveals good robustness properties of the hybrid approach with respect to variations in the quantitative cluster composition.

Publikation lesen

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Joint R&D Subsidies, Related Variety, and Regional Innovation

T. Broekel Matthias Brachert M. Duschl T. Brenner

in: International Regional Science Review, Nr. 3, 2017

Abstract

Subsidies for research and development (R&D) are an important tool of public R&D policy, which motivates extensive scientific analyses and evaluations. This article adds to this literature by arguing that the effects of R&D subsidies go beyond the extension of organizations’ monetary resources invested into R&D. It is argued that collaboration induced by subsidized joint R&D projects yield significant effects that are missed in traditional analyses. An empirical study on the level of German labor market regions substantiates this claim, showing that collaborative R&D subsidies impact regions’ innovation growth when providing access to related variety and embedding regions into central positions in cross-regional knowledge networks.

Publikation lesen

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Complex-task Biased Technological Change and the Labor Market

Colin Caines Florian Hoffmann Gueorgui Kambourov

in: Review of Economic Dynamics, April 2017

Abstract

In this paper we study the relationship between task complexity and the occupational wage- and employment structure. Complex tasks are defined as those requiring higher-order skills, such as the ability to abstract, solve problems, make decisions, or communicate effectively. We measure the task complexity of an occupation by performing Principal Component Analysis on a broad set of occupational descriptors in the Occupational Information Network (O*NET) data. We establish four main empirical facts for the U.S. over the 1980–2005 time period that are robust to the inclusion of a detailed set of controls, subsamples, and levels of aggregation: (1) There is a positive relationship across occupations between task complexity and wages and wage growth; (2) Conditional on task complexity, routine-intensity of an occupation is not a significant predictor of wage growth and wage levels; (3) Labor has reallocated from less complex to more complex occupations over time; (4) Within groups of occupations with similar task complexity labor has reallocated to non-routine occupations over time. We then formulate a model of Complex-Task Biased Technological Change with heterogeneous skills and show analytically that it can rationalize these facts. We conclude that workers in non-routine occupations with low ability of solving complex tasks are not shielded from the labor market effects of automatization.

Publikation lesen

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Mapping Potentials for Input-Output Based Innovation Flows in Industrial Clusters – An Application to Germany

Mirko Titze Matthias Brachert Hans-Ulrich Brautzsch

in: Economic Systems Research, Nr. 4, 2016

Abstract

Our paper pursues two aims: first, it presents an approach based on input–output innovation flow matrices to study intersectoral innovation flows within industrial clusters. Second, we apply this approach to the identification of structural weaknesses in East Germany relative to the western part of the country. The case of East Germany forms an interesting subject because while its convergence process after unification began promisingly in the first half of the 1990s, convergence has since slowed down. The existing gap can now be traced mainly to structural weaknesses in the East German economy, such as the absence of strong industrial cluster structures. With this in mind, we investigate whether East Germany does in fact reveal the abovementioned structural weaknesses. Does East Germany possess fewer industrial clusters? Are they less connected? Does East Germany lack specific clusters that are also important for the non-clustered part of the economy?

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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