We propose a novel mechanism through which established firms contribute to the startup ecosystem: the allocation of R&D tax credits to startups via the M&A channel. We show that when established firms become eligible for R&D tax credits, they increase their R&D and M&A activity. In particular, they acquire more venture capital (VC)-backed startups, but not non-VC-backed firms. Moreover, the impact of R&D tax credits on firms’ R&D is increasing with their acquisition of VC-backed startups. The results suggest that established firms respond to R&D tax credits by acquiring startups rather than solely focusing on increasing their R&D intensity in-house. We also highlight evidence that startups do not appear to benefit from R&D tax credits directly, perhaps because they typically lack the taxable income necessary to directly benefit from the tax credits. In this context, established firms can play an intermediary role by acquiring startups and reallocating R&D tax credits, effectively relaxing the financial constraints faced by startups.

In this study we investigate whether and to what extent social capital may affect regional innovation by focusing on private firms in the United States. We document that regional social capital is positively associated with the quantity, quality and novelty of county-level innovation by private firms. In addition, we find that the positive relation between social capital and regional innovation is more prominent in counties with a lower supply of financial capital. We also report that social capital is complementary to investments in research and development to produce inventive outcomes in local areas. Using a spatial Durbin model, we provide evidence that regional social capital has significant spillover effects in boosting the innovation activities of neighbouring counties.

The value of social network analysis is critically dependent on the comprehensive and reliable identification of actors and their relationships. We compare regional knowledge networks based on different types of data sources, namely, co-patents, co-publications, and publicly subsidized collaborative R&D projects. Moreover, by combining these three data sources, we construct a multilayer network that provides a comprehensive picture of intraregional interactions. By comparing the networks based on the data sources, we address the problems of coverage and selection bias. We observe that using only one data source leads to a severe underestimation of regional knowledge interactions, especially those of private sector firms and independent researchers.

Welche Auswirkungen makroökonomische Schocks in Form von Naturkatastrophen auf Banken haben und welche realwirtschaftlichen Implikationen sich daraus ergeben können, wurde unter dem Titel „Katrina und die Folgen: Sicherere Banken und positive Produktionseffekte“ bereits an früherer Stelle in der „Wirtschaft im Wandel“ dargestellt. Daran anknüpfend stellt dieser Artikel einen Forschungsbeitrag vor, der die Folgen der Hochwasser des Jahres 2013 in Deutschland für die Sparkassen und Genossenschaftsbanken und deren Unternehmenskunden untersucht. Im Mittelpunkt steht die Frage, ob lokale Banken die negativen Effekte des Hochwassers mildern, indem sie die Kreditvergabe an Unternehmen ausweiten. Der Befund ist erstens, dass Banken, die Beziehungen zu betroffenen Unternehmen haben, ihre Kreditvergabe um 3% relativ zu Banken ohne Beziehungen zu betroffenen Unternehmen ausweiten, und zweitens, dass bei Sparkassen mit Zugang zu nicht betroffenen regionalen Märkten keine signifikante Erhöhung des Kreditrisikos zu beobachten ist. Ein gegenüber regionalen Katastrophen widerstandsfähiges Finanzsystem sollte somit aus lokalen Banken bestehen, die gleichwohl überregional verbunden sind, damit ausreichende Möglichkeiten zur Diversifikation bestehen.