Evaluation of Subsidy Programmes

This research group focuses on two main research questions: (i) What is the causal effect of cooperative innovation activities on the performance of firms and regions? (ii) What are the causal effects of public Research and Development (R&D) support schemes on the performance of firms and regions? The first research question concerns the dynamics of firms and regions as a result of their different innovation activities. We apply a micro-based integrative perspective on innovative activities which allows identifying causal effects of cooperative activities on specific outcomes (e. g., patent applications, scientific publications, employment growth, or productivity growth). Concerning the second research question, recent studies mainly focus on the evaluation of one specific subsidy scheme. Research in this group aims to overcome this shortcoming by considering various support schemes. Indicators for the firms’ success are (amongst others) patent applications and employment growth. The results allow insights for the future design of innovation support schemes.

IWH Data Project: IWH Subsidy Database

Research Cluster
Institutions and Social Norms

Your contact

PD Dr Mirko Titze
PD Dr Mirko Titze
Mitglied - Department Präsidialbereich
Send Message +49 345 7753-861

EXTERNAL FUNDING

02.2017 ‐ 02.2018

The Importance of Non-University Research Institutions for the Development of Firms and Regions (Be_For_Reg-Projekt)

Federal Ministry of Education and Research (BMBF)

PD Dr Mirko Titze

01.2017 ‐ 12.2018

Political Participation in Eastern Germany

Federal Ministry for Economic Affairs and Energy (BMWI)

Dr Matthias Brachert

01.2018 ‐ 12.2020

Networked growth - Innovative Saxony-Anhalt through digital business models (Competence Center 4.0)

Federal Ministry for Economic Affairs and Energy (BMWI)

PD Dr Mirko Titze

01.2015 ‐ 12.2016

Evaluation of the "Joint Task 'Improving the Regional Economic Structure'" in the Federal State of Saxony-Anhalt

Investitionsbank Sachsen-Anhalt

PD Dr Mirko Titze

12.2015 ‐ 11.2018

Socio-economic Effects of Research on Innovative Approaches for POC Diagnostics

Federal Ministry of Education and Research (BMBF)

Part of the EXASENS project. Coordinated by the Leibniz Institute of Photonic Technology (IPHT) in Jena, nine Leibniz institutes are working together on researching point-of-care (POC) technology for the prediction and diagnosis of chronic inflammatory respiratory diseases. See press release.

Dr Matthias Brachert

Refereed Publications

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R&D Cooperation for Non-technological Innovations

Gunnar Pippel

in: Economics of Innovation and New Technology, No. 7, 2014

Abstract

Past research on the impact of R&D cooperation on firm innovation performance has almost solely focused on technological innovations. This paper investigates the impact of R&D cooperation on non-technological innovation performance of firms. In doing so, seven different cooperation partner types are distinguished. Survey data from German firms are used for the econometric analysis. It is shown that R&D cooperation increases the probability of a firm to introduce non-technological innovations. R&D cooperation with suppliers, consultants, other firms within the same firm group and universities has a significant positive impact on organizational and marketing innovation performance. Cooperation with governmental research institutes and competitors has no significant effect. R&D cooperation with customers has a significant impact on a firm's organizational innovation performance, but not on marketing innovation performance.

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Actors and Interactions – Identifying the Role of Industrial Clusters for Regional Production and Knowledge Generation Activities

Mirko Titze Matthias Brachert Alexander Kubis

in: Growth and Change, No. 2, 2014

Abstract

This paper contributes to the empirical literature on systematic methodologies for the identification of industrial clusters. It combines a measure of spatial concentration, qualitative input–output analysis, and a knowledge interaction matrix to identify the production and knowledge generation activities of industrial clusters in the Federal State of Saxony in Germany. It describes the spatial allocation of the industrial clusters, identifies potentials for value chain industry clusters, and relates the production activities to the activities of knowledge generation in Saxony. It finds only a small overlap in the production activities of industrial clusters and general knowledge generation activities in the region, mainly driven by the high-tech industrial cluster in the semiconductor industry. Furthermore, the approach makes clear that a sole focus on production activities for industrial cluster analysis limits the identification of innovative actors.

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Non-union Worker Representation, Foreign Owners, and the Performance of Establishments

U. Jirjahn Steffen Müller

in: Oxford Economic Papers, No. 1, 2014

Abstract

Using German establishment data, this study provides the first econometric analysis on the interaction of establishment-level codetermination and foreign owners. Works councils are associated with higher productivity in domestic-owned establishments while they are associated with lower productivity in foreign-owned establishments. Our results conform to the notion that foreign ownership can involve strong tensions with the institutional patterns of the host country.

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Adjustments in the Use of Temporary Agency before and during the 2008/2009 Economic Crisis

Steffen Müller

in: Industrielle Beziehungen, No. 1, 2014

Abstract

The use of temporary agency work in Germany strongly increased between 2002 and the economic crisis of 2008 and 2009. This increase was characterised by an intensified use in medium and large manufacturing plants and was concentrated within user firms, i.e. the intensive margin was dominant. These phenomena can be explained with reduced transaction costs and strong international competition and they indicate increased productivity amongst user firms. The sharp decline in the use of temporary agency work during the economic crisis was concentrated among exporters and large manufacturing plants and mostly driven by the extensive margin. Employment opportunities in the temporary work sector were in particular sensitive to changes in the international demand for goods of the German manufacturing sector.

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Guest Editorial: Which Regions Benefit from Emerging Industries? Guest Editorial

Matthias Brachert U. Cantner H. Graf Jutta Günther Michael Schwartz

in: European Planning Studies, No. 11, 2013

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Working Papers

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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 Discussion Papers, No. 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.

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Identifying Cooperation for Innovation – A Comparison of Data Sources

Michael Fritsch M. Piontek Mirko Titze

in: IWH Discussion Papers, No. 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.

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

Matthias Brachert

in: IWH Discussion Papers, No. 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.

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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 Discussion Papers, No. 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.

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

Eva Dettmann Matthias Brachert Mirko Titze

in: IWH Discussion Papers, No. 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.

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