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Bank Market Power, Factor Reallocation, and Aggregate Growth
Journal of Financial Stability,
Using a unique firm-level sample of approximately 700,000 firm-year observations of German small and medium-sized enterprises (SMEs), this study seeks to identify the effect of bank market power on aggregate growth components. We test for a pre-crisis sample whether bank market power spurs or hinders the reallocation of resources across informationally opaque firms. Identification relies on the dependence on external finance in each industry and the regional demarcation of regional banking markets in Germany. The results show that bank markups spur aggregate SME growth, primarily through technical change and the reallocation of resources. Banks seem to need sufficient markups to generate the necessary private information to allocate financial funds efficiently.
Exploring the Evolution of Innovation Networks in Science-driven and Scale-intensive Industries: New Evidence from a Stochastic Actor-based Approach
Our primary goal is to analyse the drivers of evolutionary network change processes by using a stochastic actor-based simulation approach. We contribute to the literature by combining two unique datasets, concerning the German laser and automotive industry, between 2002 and 2006 to explore whether geographical, network-related, and techno-logical determinants affect the evolution of networks, and if so, as to what extent these determinants systematically differ for science-driven industries compared to scale-intensive industries. Our results provide empirical evidence for the explanatory power of network-related determinants in both industries. The ‘experience effect’ as well as the ‘transitivity effects’ are significant for both industries but more pronounced for laser manufacturing firms. When it comes to ‘geographical effects’ and ‘technological ef-fects’ the picture changes considerably. While geographical proximity plays an important role in the automotive industry, firms in the laser industry seem to be less dependent on geographical closeness to cooperation partners; instead they rather search out for cooperation opportunities in distance. This might reflect the strong dependence of firms in science-driven industries to access diverse external knowledge, which cannot necessarily be found in the close geographical surrounding. Technological proximity negatively influences cooperation decisions for laser source manufacturers, yet has no impact for automotive firms. In other words, technological heterogeneity seems to ex-plain, at least in science-driven industries, the attractiveness of potential cooperation partners.
Network Formation: R&D Cooperation Propensity and Timing Among German Laser Source Manufacturers
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.
The Impact of Government Procurement Composition on Private R&D Activities
Jena Economic Research Papers, Nr. 2011-036,
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.
Incubation Time, Incubator Age, and Firm Survival after Graduation
International Journal of Entrepreneurship and Innovation Management,
On the basis of a sample of 149 graduate firms from five German business incubators, this article contributes to incubator/incubation literature by investigating the effects of the age of the incubators and the firms´ incubation time in securing long-term survival of the firms after leaving the incubator facilities. The empirical findings from Cox proportional hazards regression and parametric accelerated failure time models reveal a statistically significant negative impact for both variables incubator age and incubation time on post-graduation firm survival. One important implication that follows from the empirical results for policy makers and managers of those initiatives is that, when incubator managers become increasingly involved in various regional development activities, this may reduce the effectiveness of incubator support. Also, our finding speaks in favour of a strict limitation of incubation times and reinforces arguments of the supporters of maximum tenancy.
A Control Group Study of Incubators’ Impact to Promote Firm Survival
It is widely unclear as to whether start-up firms supported by publicly-initiated incubator initiatives have higher survival rates than comparable start-up firms that have not received support by such initiatives. This paper contributes to the underlying discussion by performing an empirical analysis of the long-term survival of 371 incubator firms (after their graduation) from five German incubators and contrasting these results with the long-term survival of a control group of 371 comparable non-incubated firms. The analysis covers a 10-year time span. To account for the problem of selection bias, a non-parametric matching approach is applied to identify an appropriate control group. For neither of the five incubator locations we find statistically significant higher survival probabilities for firms located in incubators compared to firms located outside those incubator organizations. For three incubator locations the analysis even reveals statistically significant lower chances of survival for those start-ups having received support by an incubator. We therefore arrive at the conclusion that being located in an incubator – contrasting the widespread rhetoric of policy actors and incubator stakeholders – does not increase the chances of long-term business survival.
Incubator Age and Incubation Time: Determinants of Firm Survival after Graduation?
IWH Discussion Papers,
On the basis of a sample of 149 graduate firms from five German technology oriented business incubators, this article contributes to incubator/incubation literature by investigating the effects of the age of the business incubators and the firms’ incubation time in securing long-term survival of the firms after leaving the incubator facilities. The empirical findings from Cox-proportional hazards regression and parametric accelerated failure time models reveal a statistically negative impact for both variables incubator age and incubation time on post-graduation firm survival. One possible explanation for these results is that, when incubator managers become increasingly involved in various regional development activities (e.g. coaching of regional network initiatives), this may reduce the effectiveness of incubator support and therefore the survival chances of firms.
A Glimpse on Sectoral Convergence of Productivity Levels
IWH Discussion Papers,
This paper examines the presence of sectoral convergence of labor productivity between 14 OECD countries. Using the OECD International Sectoral Data Base (ISDB), the paper looks at the developments within 12 distinct sectors during the period 1970-1995. The change of the coefficients of variance suggests that there is strong sectoral convergence within most service sectors while the evidence of convergence for Manufacturing as well as for Communication is rather weak. These findings are in line with most studies undertaken on this subject so far. It is concluded that economic theories at hand to explain growth and convergence (or divergence respectively) are of different importance for the sectors concerned. While models of the New Growth Theory seemed to be useful to explain growth mechanisms within Manufacturing and Communication, traditional models seemed to apply to most other sectors.