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.
ForschungsclusterInstitutionen und soziale Normen
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).
01.2018 ‐ 12.2020
Vernetzt wachsen - Innovatives Sachsen-Anhalt durch digitale Geschäftsmodelle (Kompetenzzentrum 4.0)
Bundesministerium für Wirtschaft und Energie (BMWi)
01.2017 ‐ 12.2018
Politische Partizipation in Ostdeutschland
Bundesministerium für Wirtschaft und Energie (BMWi)
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.
02.2017 ‐ 02.2018
Bedeutung außeruniversitärer Forschungseinrichtungen für die Entwicklung von Betrieben und Regionen
Bundesministerium für Bildung und Forschung (BMBF)
01.2015 ‐ 12.2016
Evaluierung der GRW-Förderung in Sachsen-Anhalt
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), Nr. 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.
A Community College Instructor Like Me: Race and Ethnicity Interactions in the Classroom
in: American Economic Review, Nr. 8, 2014
Administrative data from a large and diverse community college are used to examine if underrepresented minority students benefit from taking courses with underrepresented minority instructors. To identify racial interactions we estimate models that include both student and classroom fixed effects and focus on students with limited choice in courses. We find that the performance gap in terms of class dropout rates and grade performance between white and underrepresented minority students falls by 20 to 50 percent when taught by an underrepresented minority instructor. We also find these interactions affect longer term outcomes such as subsequent course selection, retention, and degree completion.
The Skills Balance in Germany’s Import Intensity of Exports: An Input-Output Analysis
in: Intereconomics, Nr. 2, 2014
In the decade prior to the economic and financial crisis, Germany’s net exports increased in absolute terms as well as relative to the growing level of import intensity of domestically produced export goods and services. This article analyses the direct and indirect employment effects induced both by exports as well as by of the import intensity of the production process of export goods and services on the skills used. It shows that Germany’s export surpluses led to positive net employment effects. Although the volume of imports of intermediate goods increased and was augmented by the rise in exports, it could not undermine the overall positive employment effect.
R&D Cooperation for Non-technological Innovations
in: Economics of Innovation and New Technology, Nr. 7, 2014
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.
Actors and Interactions – Identifying the Role of Industrial Clusters for Regional Production and Knowledge Generation Activities
in: Growth and Change, Nr. 2, 2014
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.
Does Partner Type Matter in R&D Collaboration for Environmental Innovation?
in: IWH-Diskussionspapiere, Nr. 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-Diskussionspapiere, Nr. 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-Diskussionspapiere, Nr. 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.