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.
Research ClusterInstitutions and Social Norms
09.2019 ‐ 09.2022
Establishing Evidence-based Evaluation Methods for Subsidy Programmes in Germany (EVA-KULT)
European Regional Development Fund (ERDF)
The project aims at expanding the Centre for Evidence-based Policy Advice at the Halle Institute for Economic Research (IWH-CEP).
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)
01.2017 ‐ 12.2018
Political Participation in Eastern Germany
Federal Ministry for Economic Affairs and Energy (BMWI)
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.
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)
01.2015 ‐ 12.2016
Evaluation of the "Joint Task 'Improving the Regional Economic Structure'" in the Federal State of Saxony-Anhalt
Guest Editorial: Which Regions Benefit from Emerging Industries? Guest Editorial
in: European Planning Studies, No. 11, 2013read publication
The Impact of R&D Collaboration Networks on the Performance of Firms and Regions: A Meta-Analysis of the Evidence
in: International Journal of Networking and Virtual Organisations, No. 4, 2013
Innovation is the result of an interactive process. Knowledge-intensive interactions among different partners are associated with a variety of advantages and disadvantages for the actors involved. Therefore, a rich body of literature investigating the impact of R&D collaboration networks on the innovation performance of firms and regions has developed over the last two decades. Those studies come to different results. The aims of this paper are manifold. First, the paper summarizes the results of the relevant literature. Second, a brief overview of the established methods and approaches used in the literature to investigate this research question is given. The third objective is to answer the question whether the achieved results in the literature are predetermined by the employed methods. Finally, relevant gaps for further research are identified. To answer these questions a meta-analysis of the relevant literature is conducted. This study shows that knowledge-intensive interactions have a rather positive impact on the performance of firms and regions. There is also evidence that the employed methods and approaches used in the literature to investigate this research question predetermine the outcome of the research.
Network Embeddedness, Geographical Co-location or Both? The Impact of Distinct and Combined Proximity Effects on Firm-level Innovation Output in the German Laser Industry
in: Industry and Innovation, 2010read publication
Regions as Selection Environments? The Emergence of the Solar Industry in Germany from 1992 to 2008
in: European Planning Studies, No. 11, 2013
The spatial evolution of the German solar industry is analysed in the light of the “window of locational opportunity” and the “selection environment” approach. The paper argues that differences in the regions' ability to promote the emergence of local external economies contribute to increasing regional differentiation in the German structure of the industry. Applied empirical methods enclose longitudinal firm entry and network analysis. A special focus is given upon the realignment processes in the science system. Our findings show a relatively rapid spatial concentration of production in eastern Germany since the year 2000. This process is accompanied by intensified networking between firms and between firms and universities as well as research institutes. The responsiveness of regional institutions and the self-organizing capabilities of the solar firms substantiate some propositions of the “selection environment” approach.
What Drives Innovation Output from Subsidized R&D Cooperation? — Project-level Evidence from Germany
in: Technovation, No. 6, 2012
Using a large dataset of 406 subsidized R&D cooperation projects, we provide detailed insights into the relationship between project characteristics and innovation output. Patent applications and publications are used as measures for the innovation output of an R&D project. We find that large-firm involvement is strongly positively related with the number of patent applications, but not with the number of publications. Conversely, university involvement has positive effects on projects’ innovation output in terms of the number of publications but not in terms of patent applications. In general, projects’ funding as measure of projects’ size is an important predictor of the innovation output of R&D cooperation projects. No significant effects are found for the number of partners as (an alternative) measure of projects’ size, for spatial proximity between cooperation partners, for the involvement of a public institute for applied research, and for prior cooperation experiences. We derive conclusions for the design of R&D cooperation support schemes.
Does Partner Type Matter in R&D Collaboration for Environmental Innovation?
in: IWH Discussion Papers, No. 5, 2013
In the literature on environmental innovations R&D collaborations have been identified as a critical determinant of a firm’s environmental innovation performance. However, the literature suggests that R&D collaboration is not always beneficial. Therefore, a more elaborated analysis of the effects of R&D collaborations on a firm’s environmental innovation performance is necessary. This paper investigates the impact of R&D col-laborations with different partner types such as customers, competitors, suppliers, uni-versities, governmental research institutes, consultants and other firms within the same firm group on a firm’s environmental innovation performance. In addition, this paper addresses the question of whether the diversity of R&D collaboration partners is im-portant for the environmental innovation performance. Firm-level data from 2,337 Ger-man service and manufacturing firms are used in the regression analysis. The results suggest that R&D collaboration with suppliers, customers, universities, governmental research institutes, consultants and other firms within the same firm group has a signifi-cantly positive impact on a firm’s environmental innovation performance, whereas col-laboration with competitors has no significant impact. The diversity of R&D collaboration partners has a significantly positive impact on a firm’s environmental innovation performance.
Determinants of Evolutionary Change Processes in Innovation Networks – Empirical Evidence from the German Laser Industry
in: IWH Discussion Papers, No. 7, 2012
We seek to understand the relationship between network change determinants, network change processes at the micro level and structural consequences at the overall network level. Our conceptual framework considers three groups of determinants – organizational, relational and contextual. Selected factors within these groups are assumed to cause network change processes at the micro level – tie formations and tie terminations – and to shape the structural network configuration at the overall network level. We apply a unique longitudinal event history dataset based on the full population of 233 German laser source manufacturers and 570 publicly-funded cooperation projects to answer the following research question: What kind of exogenous or endogenous determinants affect a firm’s propensity and timing to cooperate and enter the network? Estimation results from a non-parametric event history model indicate that young micro firms enter the network later than small-sized and large firms. An in-depth analysis of the size effects for medium-sized firms provides some unexpected yet quite interesting findings. The choice of cooperation type makes no significant difference for the firms’ timing to enter the network. Finally, the analysis of contextual determinants shows that cluster membership can, but do not necessarily, affect a firm’s timing to cooperate.
Related Variety, Unrelated Variety and Regional Functions: Identifying Sources of Regional Employment Growth in Germany from 2003 to 2008
in: IWH Discussion Papers, No. 15, 2011
This article analyses how regional employment growth in Germany is affected by related variety, unrelated variety and the functions a region performs in the production process. Following the related variety literature, we argue that regions benefit from the existence of related activities that facilitate economic development. However, we argue that the sole reliance of related variety on standard industrial classifications remains debatable. Hence, we offer estimations for establishing that conceptual progress can indeed be made when a focus for analysis goes beyond solely considering industries. We develop an industry-function based approach of related and unrelated variety. Our findings suggest that related variety only in combination with a high functional specialization of the region facilitates regional growth in Germany. Additionally, also unrelated variety per se fails to wield influences affecting development of regions. It is rather unrelated, but functionally proximate variety in the groups “White Collar” and “Blue Collar Workers” positively affects regional employment growth.