R&D Collaborations and the Role of Proximity
Philipp Marek, Mirko Titze, Clemens Fuhrmeister,
Regional Studies,
Nr. 12,
2017
Abstract
R&D collaborations and the role of proximity. Regional Studies. This paper explores the impact of proximity measures on knowledge exchange measured by granted research and development (R&D) collaboration projects in German NUTS-3 regions. The results are obtained from a spatial interaction model including eigenvector spatial filters. Not only geographical but also other forms of proximity (technological, organizational and institutional) have a significant influence on the emergence of collaborations. Furthermore, the results suggest interdependences between proximity measures. Nevertheless, the analysis does not show that other forms of proximity may compensate for missing geographical proximity. The results indicate that (subsidized) collaborative innovation activities tend to cluster.
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Innovation Network
Daron Acemoglu, Ufuk Akcigit, William R. Kerr
Proceedings of the National Academy of Sciences of the United States of America (PNAS),
Nr. 41,
2016
Abstract
Technological progress builds upon itself, with the expansion of invention in one domain propelling future work in linked fields. Our analysis uses 1.8 million US patents and their citation properties to map the innovation network and its strength. Past innovation network structures are calculated using citation patterns across technology classes during 1975–1994. The interaction of this preexisting network structure with patent growth in upstream technology fields has strong predictive power on future innovation after 1995. This pattern is consistent with the idea that when there is more past upstream innovation for a particular technology class to build on, then that technology class innovates more.
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The Impact of Venture Capital Monitoring
Shai B. Bernstein, Xavier Giroud, Richard R. Townsend
Journal of Finance,
Nr. 4,
2016
Abstract
We show that venture capitalists' (VCs) on-site involvement with their portfolio companies leads to an increase in both innovation and the likelihood of a successful exit. We rule out selection effects by exploiting an exogenous source of variation in VC involvement: the introduction of new airline routes that reduce VCs' travel times to their existing portfolio companies. We confirm the importance of this channel by conducting a large-scale survey of VCs, of whom almost 90% indicate that direct flights increase their interaction with their portfolio companies and management, and help them better understand companies' activities.
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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
Growth and Change,
Nr. 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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Intellectual Property Rights Policy, Competition and Innovation
Daron Acemoglu, Ufuk Akcigit
Journal of the European Economic Association,
Nr. 1,
2012
Abstract
To what extent and in what form should the intellectual property rights (IPR) of innovators be protected? Should a company with a large technology lead over its rivals receive the same IPR protection as a company with a more limited advantage? In this paper, we develop a dynamic framework for the study of the interactions between IPR and competition, in particular to understand the impact of such policies on future incentives. The economy consists of many industries and firms engaged in cumulative (step-by-step) innovation. IPR policy regulates whether followers in an industry can copy the technology of the leader. We prove the existence of a steady-state equilibrium and characterize some of its properties. We then quantitatively investigate the implications of different types of IPR policy on the equilibrium growth rate and welfare. The most important result from this exercise is that full patent protection is not optimal; instead, optimal policy involves state-dependent IPR protection, providing greater protection to technology leaders that are further ahead than those that are close to their followers. This is because of a trickle-down effect: providing greater protection to firms that are further ahead of their followers than a certain threshold increases the R&D incentives also for all technology leaders that are less advanced than this threshold.
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Industrial Associations as a Channel of Business-Government Interactions in an Imperfect Institutional Environment: The Russian Case
A. Yakovlev, A. Govorun
IWH Discussion Papers,
Nr. 16,
2011
Abstract
International lessons from emerging economies suggest that business associations may provide an effective channel of communication between the government and the private sector. This function of business associations may become still more important in transition economies, where old mechanisms for coordinating enterprise activities have been destroyed, while the new ones have not been established yet. In this context, Russian experience is a matter of interest, because for a long time, Russia was regarded as a striking example of state failures and market failures. Consequently, the key point of our study was a description of the role and place of business associations in the presentday
Russian economy and their interaction with member companies and bodies of state
administration. Relying on the survey data of 957 manufacturing firms conducted in
2009, we found that business associations are more frequently joined by larger companies, firms located in regional capital cities, and firms active in investment and innovation. By contrast, business associations tend to be less frequently joined by business groups’ subsidiaries and firms that were non-responsive about their respective ownership structures. Our regression analysis has also confirmed that business associations are a component of what Frye (2002) calls an “elite exchange”– although only on regional and local levels. These “exchanges” imply that members of business associations, on the one hand, more actively assist regional and local authorities in social development of their regions, and on the other hand more often receive support from authorities. However, this effect is insignificant in terms of support from the federal government. In general, our results allow us to believe that at present, business associations (especially the
industry-wide and “leading” ones) consolidate the most active, advanced companies and act as collective representatives of their interests. For this reason, business associations can be regarded as interface units between the authorities and businesses and as a possible instrument for promotion of economic development.
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The Identification of Industrial Clusters – Methodical Aspects in a Multidimensional Framework for Cluster Identification
Mirko Titze, Matthias Brachert, Alexander Kubis
Abstract
We use a combination of measures of spatial concentration, qualitative input-output analysis and innovation interaction matrices to identify the horizontal and vertical dimension of industrial clusters in Saxony in 2005. We describe the spatial allocation of the industrial clusters and show possibilities of vertical interaction of clusters based on intermediate goods flows. With the help of region and sector-specific knowledge interaction matrices we are able to show that a sole focus on intermediate goods flows limits the identification of innovative actors in industrial clusters, as knowledge flows and intermediate goods flows do not show any major overlaps.
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Lending Technology, Bank Organization and Competition
Hans Degryse, Steven Ongena, Günseli Tümer-Alkan
Journal of Financial Transformation,
2009
Abstract
This paper reviews recent theoretical and empirical studies investigating how both bank technology and organization shape bank-borrower interactions. We refer to two related concepts for bank technology. First, the technologies banks employ in loan granting decisions and second, the advances in information technology linked to the bank's lending technology. We also summarize and interpret the theoretical and empirical work on bank organization and its influence on lending technologies. We show that the choice of lending technology and bank organization depend heavily on the availability of information, the technological progress in the collection of information, as well as the banking market structure and the legal environment. We draw important policy conclusions from the literature. Competition authorities and supervisors have to remain alert to the consequences of the introduction of any new technology because: (1) advances in technology do not necessarily lead to more intense banking competition, and (2) the impact of technological and financial innovation on financial efficiency and stability depends on the incentives of the entire „loan production chain.‟
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