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
R&D Cooperation with Scientific Institutions: A Difference-in-difference Approach
in: Economics of Innovation and New Technology, No. 5, 2016
Economists and business managers have long been interested in the impact of research and development (R&D) cooperation with scientific institutions on the innovation performance of firms. Recent research identifies a positive correlation between these two variables. This paper aims to contribute to the identification of the relationship between R&D cooperation with scientific institutions and the product and process innovation performance of firms by using a difference-in-difference approach. In doing so, we distinguish between two different types of scientific institutions: universities and governmental research institutes. For the econometric analyses, we use data from the German Community Innovation Survey. In total, data from up to 560 German service and manufacturing firms are available for the difference-in-difference analyses. The results suggest that R&D cooperation with universities and governmental research institutes has a positive effect on both product innovation and process innovation performance of firms.
On the Trail of Core–periphery Patterns in Innovation Networks: Measurements and New Empirical Findings from the German Laser Industry
in: The Annals of Regional Science, No. 1, 2015
It has been frequently argued that a firm’s location in the core of an industry’s innovation network improves its ability to access information and absorb technological knowledge. The literature has still widely neglected the role of peripheral network positions for innovation processes. In addition to this, little is known about the determinants affecting a peripheral actors’ ability to reach the core. To shed some light on these issues, we have employed a unique longitudinal dataset encompassing the entire population of German laser source manufacturers (LSMs) and laser-related public research organizations (PROs) over a period of more than two decades. The aim of our paper is threefold. First, we analyze the emergence of core–periphery (CP) patterns in the German laser industry. Then, we explore the paths on which LSMs and PROs move from isolated positions toward the core. Finally, we employ non-parametric event history techniques to analyze the extent to which organizational and geographical determinates affect the propensity and timing of network core entries. Our results indicate the emergence and solidification of CP patterns at the overall network level. We also found that the paths on which organizations traverse through the network are characterized by high levels of heterogeneity and volatility. The transition from peripheral to core positions is impacted by organizational characteristics, while an organization’s geographical location does not play a significant role.
R&D Collaboration for Environmental Innovation
in: International Journal of Innovation Management, No. 1, 2015
The literature on the impact of R&D collaboration on environmental innovation performance of firms suggests that R&D collaboration is not always beneficial. Therefore, a more detailed analysis of the effects of R&D collaboration is necessary. This paper investigates the impact of R&D collaboration with different partner types on a firm’s environmental innovation performance. In addition, the paper addresses the question of whether the diversity of R&D collaboration partners is important to environmental innovation performance. Firm-level data from 2337 German 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 significant positive impact on a firm’s environmental innovation performance, whereas collaboration 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.
Drivers of the Spatial Emergence and Clustering of the Photovoltaic Industry in Germany
in: Zeitschrift für Wirtschaftsgeographie, No. 3, 2015
The drivers of the spatial emergence and clustering of the photovoltaic industry in Germany. Following the relatedness literature, we explore to what extent related industries influenced the regional emergence of the photovoltaic (PV) industry. In addition, we shed light on factors explaining selective processes of clustering. We particularly argue that generic resources and resources of related activities have been crucial for the regional concentration in early phases of the industry life cycle. With increasing maturity, industry-specific resources became more important. Based on a unique dataset containing population dynamics of the German PV industry, the hypotheses are tested empirically. Our results partially confirm the assumed beneficial effects of related industries for the emergence of the PV industry. Moreover, we observe changes in the relative importance of factors supporting regional concentration, with industry-specific resources becoming dominant as the industry matures.
Determinants of Knowledge Exchange Between Foreign and Domestic Enterprises in European Post-transition Economies
in: Journal Economia e Politica Industriale (Journal of Industrial and Business Economics), No. 4, 2014
The aim of this paper is to contribute to the literature on internationalised research and development by investigating determinants of knowledge and technology transfer between foreign subsidiaries and the local economy in European post-transition economies. This inquiry leads to a better understanding of determinants that influence this knowledge and technology exchange. Applying a logit model, we find that, in particular, the foreign subsidiary’s corporate governance structure, its embeddedness in the multinational enterprise’s internal knowledge base, its own technological capacity, the growth of the regional knowledge stock and the regional sectoral diversification are all positively associated with the transfer of knowledge. Subsidiaries’ investment motives and the relative weight of the sector of investment in the region’s economy appear to be of less importance. The analysis focuses on European post-transition economies, using the example of five selected Central Eastern European countries and East Germany. We exploit a unique dataset, the IWH FDI Micro database, which contains information on one thousand two hundred forty-five foreign subsidiaries in this region.
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.