R&D Cooperation with Scientific Institutions: A Difference-in-difference Approach
Gunnar Pippel, V. Seefeld
Economics of Innovation and New Technology,
No. 5,
2016
Abstract
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.
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R&D Collaboration for Environmental Innovation
Gunnar Pippel
International Journal of Innovation Management,
No. 1,
2015
Abstract
FuE-Kooperationen spielen eine bedeutende Rolle bei der Schaffung von Umweltinnovationen. Allerdings zeigt uns die Literatur, dass FuE-Kooperationen nicht immer vorteilhaft sind. Daher ist eine differenziertere Betrachtungsweise des Einflusses von FuE-Kooperationen auf die Fähigkeit von Unternehmen, Umweltinnovationen hervorzubringen, notwendig. Das Papier untersucht diesen Zusammenhang und differenziert dabei nach verschiedenen Typen von Kooperationspartnern wie Kunden, Lieferanten, Universitäten, staatlichen Forschungseinrichtungen, Konkurrenten, Beratern und anderen Firmen innerhalb der gleichen Firmengruppe. Zudem wird der Frage nachgegangen, ob Diversität von Kooperationspartnern einen Einfluss auf die Umweltinnovationsfähigkeit von Unternehmen hat. Dabei werden Daten von 2337 deutschen Unternehmen für eine Regressionsanalyse verwendet. Deutlich wird, dass FuE-Kooperationen mit Kunden, Lieferanten, Universitäten, staatlichen Forschungseinrichtungen, Beratern und anderen Firmen innerhalb der gleichen Firmengruppe einen signifikant positiven Einfluss auf die Umweltinnovationsfähigkeit haben. FuE-Kooperationen mit Konkurrenten haben keinen signifikanten Einfluss. Die Diversität von FuE-Kooperationspartnern hat ebenfalls einen signifikant positiven Einfluss auf die Umweltinnovationsfähigkeit.
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Understanding the Great Recession
Mathias Trabandt, Lawrence J. Christiano, Martin S. Eichenbaum
American Economic Journal: Macroeconomics,
No. 1,
2015
Abstract
We argue that the vast bulk of movements in aggregate real economic activity during the Great Recession were due to financial frictions. We reach this conclusion by looking through the lens of an estimated New Keynesian model in which firms face moderate degrees of price rigidities, no nominal rigidities in wages, and a binding zero lower bound constraint on the nominal interest rate. Our model does a good job of accounting for the joint behavior of labor and goods markets, as well as inflation, during the Great Recession. According to the model the observed fall in total factor productivity and the rise in the cost of working capital played critical roles in accounting for the small drop in inflation that occurred during the Great Recession.
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Isolation and Innovation – Two Contradictory Concepts? Explorative Findings from the German Laser Industry
Wilfried Ehrenfeld, T. Pusch, Muhamed Kudic
IWH Discussion Papers,
No. 1,
2015
Abstract
We apply a network perspective and study the emergence of core-periphery (CP) structures in innovation networks to shed some light on the relationship between isolation and innovation. It has been frequently argued that a firm’s location in a densely interconnected network area improves its ability to access information and absorb technological knowledge. This, in turn, enables a firm to generate new products and services at a higher rate compared to less integrated competitors. However, the importance of peripheral positions for innovation processes is still a widely neglected issue in literature. Isolation may provide unique conditions that induce innovations which otherwise may never have been invented. Such innovations have the potential to lay the ground for a firm’s pathway towards the network core, where the industry’s established technological knowledge is assumed to be located.
The aim of our paper is twofold. Firstly, we propose a new CP indicator and apply it to analyze the emergence of CP patterns in the German laser industry. We employ publicly funded Research and Development (R&D) cooperation project data over a period of more than two decades. Secondly, we explore the paths on which firms move from isolated positions towards the core (and vice versa). Our exploratory results open up a number of new research questions at the intersection between geography, economics and network research.
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The Structure and Evolution of Intersectoral Technological Complementarity in R&D in Germany from 1990 to 2011
Matthias Brachert, T. Broekel
Abstract
Technological complementarity is argued to be a crucial element for effective Research and Development (R&D) collaboration. The real structure is, however, still largely unknown. Based on the argument that organizations’ knowledge resources must fit for enabling collective learning and innovation, we use the co-occurrence of firms in collaborative R&D projects in Germany to assess inter-sectoral technological complementarity between 129 sectors. The results are mapped as complementarity space for the Germany economy. The space and its dynamics from 1990 to 2011 are analyzed by means of social network analysis.
The results illustrate sectors being complements both from a dyadic and portfolio/ network perspective. This latter is important, as complementarities may only become fully effective when integrated in a complete set of different knowledge resources from multiple sectors. The dynamic perspective moreover reveals the shifting demand for knowledge resources among sectors at different time periods.
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Does the Technological Content of Government Demand Matter for Private R&D? Evidence from US States
Viktor Slavtchev, Simon Wiederhold
Abstract
Governments purchase everything from airplanes to zucchini. This paper investigates the role of the technological content of government procurement in innovation. We theoretically show that a shift in the composition of public purchases toward high-tech products translates into higher economy-wide returns to innovation, leading to an increase in the aggregate level of private research and development (R&D). Collecting unique panel data on federal procurement in US states, we find that reshuffling procurement toward high-tech industries has an economically and statistically significant positive effect on private R&D, even after extensively controlling for other R&D determinants. Instrumental-variable estimations support a causal interpretation of our findings.
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Regional House Price Dynamics and Voting Behavior in the FOMC
Stefan Eichler, Tom Lähner
Economic Inquiry,
No. 2,
2014
Abstract
This paper examines the impact of house price gaps in Federal Reserve districts on the voting behavior in the Federal Open Market Committee (FOMC) from 1978 to 2010. Applying a random effects ordered probit model, we find that a higher regional house price gap significantly increases (decreases) the probability that this district's representative in the FOMC casts interest rate votes in favor of tighter (easier) monetary policy. In addition, our results suggest that Bank presidents react more sensitively to regional house price developments than Board members do.
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R&D Cooperation for Non-technological Innovations
Gunnar Pippel
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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What Do We Learn from Schumpeterian Growth Theory?
Philippe Aghion, Ufuk Akcigit, Peter Howitt
P. Aghion, S. N. Durlauf (Hrsg.), Handbook of Economic Growth, Band 2B, Amsterdam: North Holland,
2014
Abstract
Schumpeterian growth theory has operationalized Schumpeter’s notion of creative destruction by developing models based on this concept. These models shed light on several aspects of the growth process that could not be properly addressed by alternative theories. In this survey, we focus on four important aspects, namely: (i) the role of competition and market structure; (ii) firm dynamics; (iii) the relationship between growth and development with the notion of appropriate growth institutions; and (iv) the emergence and impact of long-term technological waves. In each case, Schumpeterian growth theory delivers predictions that distinguish it from other growth models and which can be tested using micro data.
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Keine Angst vor China – Befunde zur Internationalisierung von Forschung und Entwicklung
Iciar Dominguez Lacasa, Wilfried Ehrenfeld, Jutta Günther, Björn Jindra
Wirtschaft im Wandel,
No. 3,
2013
Abstract
Die Internationalisierung von Forschung und Entwicklung nimmt seit vielen Jahren zu. Dieses Phänomen weckt die Befürchtung, der Technologiestandort Deutschland könne durch die Verlagerung von Forschungsaktivitäten insbesondere in die aufstrebenden Schwellenländer gefährdet werden. Um ein vollständigeres Bild dieser Vorgänge zu erhalten, gibt der Beitrag auf der Basis transnationaler Patentdaten einen Überblick über das Ausmaß sowie die relevanten Technologie-felder der Erfinderaktivitäten deutscher Unternehmen im Ausland in den ver-gangenen zwei Jahrzehnten. Die Analyse zeigt, dass Westeuropa mit einem stabilen Anteil von gut 60% weiterhin die wichtigste Zielregion für technologische Aktivitäten deutscher Unternehmen mit Patentoutput ist. In den letzten Jahren haben allerdings Schwellenländer, allen voran China, deutlich an Attraktivität gewonnen, wobei sich der Umfang der Erfinderaktivitäten deutscher Firmen in diesen Ländern immer noch auf einem sehr niedrigen Niveau befindet. Gleichzeitig haben die USA an Bedeutung verloren, bleiben jedoch das wichtigste einzelne Zielland. Die aktuelle Internationalisierung der Erfindertätigkeit in Richtung Schwellenländer stellt schon aufgrund ihres geringen Ausmaßes keine Bedrohung für den Forschungsstandort Deutschland dar. Zudem birgt die stärkere technologische Vernetzung mit diesen aufstrebenden Regionen nicht nur Gefahren, sondern eröffnet auch Potenziale für die in Deutschland ansässige FuE der Unternehmen.
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