Business Dynamics Statistics of High Tech Industries
Nathan Goldschlag, Javier Miranda
Journal of Economics and Management Strategy,
Nr. 1,
2020
Abstract
Modern market economies are characterized by the reallocation of resources from less productive, less valuable activities to more productive, more valuable ones. Businesses in the High Tech sector play a particularly important role in this reallocation by introducing new products and services that impact the entire economy. In this paper we describe an extension to the Census Bureau’s Business Dynamics Statistics that tracks job creation, job destruction, startups, and exits by firm and establishment characteristics, including sector, firm age, and firm size in the High Tech sector. We preview the resulting statistics, showing the structural shifts in the High Tech sector over the past 30 years, including the surge of entry and young firm activity in the 1990s that reversed abruptly in the early‐2000s.
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Innovation Cooperation in East and West Germany: A Study on the Regional and Technological Impact
Uwe Cantner, Alexander Giebler, Jutta Günther, Maria Kristalova, Andreas Meder
International Journal of Computational Economics and Econometrics,
im Erscheinen
Abstract
In this paper, we investigate the impact of regional and technological innovation systems on innovation cooperation. We develop an indicator applicable to regions, which demonstrates the relative regional impact on innovation cooperation. Applying this method to German patent data, we find that regional differences in the degree of innovation cooperation do not only depend on the technology structure of a region but also on specific regional effects. High-tech oriented regions, whether east or west, are not automatically highly cooperative regions. East German regions have experienced a dynamic development of innovation cooperation since re-unification in 1990. Their cooperation intensity remains higher than in West German regions.
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Does the Technological Content of Government Demand Matter for Private R&D? Evidence from US States
Viktor Slavtchev, S. Wiederhold
American Economic Journal: Macroeconomics,
Nr. 2,
2016
Abstract
Governments purchase everything from airplanes to zucchini. This paper investigates the role of the technological content of government procurement in innovation. In a theoretical model, we first 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 R&D. Using unique data on federal procurement in US states and performing panel fixed-effects estimations, we find support for the model's prediction of a positive R&D effect of the technological content of government procurement. Instrumental-variable estimations suggest a causal interpretation of our findings.
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Does the Technological Content of Government Demand Matter for Private R&D? Evidence from US States
Viktor Slavtchev, S. 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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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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Start-up Competitions as an Instrument of Entrepreneurship Policy: The German Experience
Michael Schwartz, Maximilian Göthner, Claus Michelsen, N. Waldmann
European Planning Studies,
Nr. 10,
2013
Abstract
The number of aspiring entrepreneurs in high-tech industries who successfully complete the transition from a nascent start-up project towards an operational new venture is comparatively low in Germany. Since the mid-1990s, policy-makers have initiated numerous start-up competitions (SUCs or business plan competitions) to facilitate this important step in the venture creation process. SUCs have two key objectives. They are aimed at increasing start-up activity by motivating potential entrepreneurs, while they should also help to increase the likelihood of subsequent entrepreneurial success through providing necessary entrepreneurial skills to prospective entrepreneurs. With our explorative study, we provide the first comprehensive empirical evidence from a cross-sectional survey of existing SUCs in Germany. Overall, 71 SUCs are identified which are analysed regarding their development, regional distribution, and main structural characteristics. Finally, we outline an agenda of future research questions concerning the effectiveness and efficiency of SUCs as an instrument of entrepreneurship policy.
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Network Formation: R&D Cooperation Propensity and Timing Among German Laser Source Manufacturers
Muhamed Kudic, Andreas Pyka, Marco Sunder
IWH-Diskussionspapiere,
Nr. 9,
2013
Abstract
Empirical evidence on the evolution of innovation networks within high-tech industries is still scant. We investigate network formation processes by analyzing the timing of firms to enter R&D cooperations, using data on laser source manufacturers in Germany, 1990-2010. Network measures are constructed from a unique industry database that allows us to track both the formation and the termination of ties. Regression results reveal that a firm's knowledge endowment (and cooperation experience) shortens the duration to first (and consecutive) cooperation events. The previous occupation of strategic network positions is closely related to the establishment of further R&D cooperations at a swift pace. Geographic co-location produces mixed results in our analysis.
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Technological Intensity of Government Demand and Innovation
Viktor Slavtchev, S. Wiederhold
Abstract
Governments purchase everything from airplanes to zucchini. This paper investigates whether the technological intensity of government demand affects corporate R&D activities. In a quality-ladder model of endogenous growth, we show that an increase in the share of government purchases in high-tech industries increases the rewards for innovation, and stimulates private-sector R&D at the aggregate level. We test this prediction using administrative data on federal procurement performed in US states. Both panel fixed effects and instrumental variable estimations provide results in line with the model. Our findings bring public procurement within the realm of the innovation policy debate.
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The Impact of Government Procurement Composition on Private R&D Activities
Viktor Slavtchev, S. Wiederhold
Jena Economic Research Papers,
Nr. 36,
2011
Abstract
This paper addresses the question of whether government procurement can work as a de facto innovation policy tool. We develop an endogenous growth model with quality-improving in-novation that incorporates industries with heterogeneous innovation sizes. Government demand in high-tech industries increases the market size in these industries and, with it, the incentives for private firms to invest in R&D. At the economy-wide level, the additional R&D induced in high-tech industries outweighs the R&D foregone in all remaining industries. The implications of the model are empirically tested using a unique data set that includes federal procurement in U.S. states. We find evidence that a shift in the composition of government purchases toward high-tech industries indeed stimulates privately funded company R&D.
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Mutual Perception of Science and Industry in Innovation Networks – Evidence from East Germany
Jutta Günther, Cornelia Lang
D. Dyker (ed.), Network Dynamics in Emerging Regions of Europe, Imperial College Press,
2010
Abstract
The paper examines how science and industry perceive each other. Cooperation in the field of innovation and research and development has increased in recent years. But comprehensive empirical research on the mutual perception of science and industry is lacking so far. The article presents the results of explorative research based on a number of qualitative interviews with representatives from science and industry on that topic. The interviews were carried out in the Central German Region which is a centre of manufacturing industry especially of chemicals. So the two selected industries are chemical industry (high-tech based) and food processing (low-tech based). The paper provides remarks on the German innovation system. The empirical section summarizes the interview reports. We found only little evidence of conflict of interests between market-oriented industry and science organisations. Cooperation exists and works. The key issue is trust.
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