Die vorliegende Expertise verfolgte das Ziel, Datenbedarfe für die Evaluierung der Kapitel-1-Maßnahmen des InvKG abzuleiten. Die Evaluierung und die daraus entstehenden Datenbedarfe müssen sich in ein theoretisches Modell der ökonomischen Literatur zur Wirkung von Politikmaßnahmen einordnen lassen. Bei den Kapitel-1-Maßnahmen handelt es sich im weitesten Sinne um Investitionen in wirtschaftsnahe Infrastrukturen. Charakteristisch für Infrastrukturen ist, dass sie durch mittlere Zeiträume der Planung und Errichtung auf der einen sowie lange Nutzungszeiträume auf der anderen Seite gekennzeichnet sind. Hinzu kommt, dass die Phasen der Planung/Errichtung und der Nutzung Aspekte von Marktmängeln berühren. In der Praxis unterliegt dieser Bereich daher einer umfassenden staatlichen Regulierung.

We use granular project-level information for the largest regional economic development program in German history to study whether government subsidies to firms affect the quantity and quality of bank lending. We combine the universe of recipient firms under the Improvement of Regional Economic Structures program (GRW) with their local banks during 1998-2019. The modalities of GRW subsidies to firms are determined at the EU level. Therefore, we use it to identify bank outcomes. Banks with relationships to more subsidized firms exhibit higher lending volumes without any significant differences in bank stability. Subsidized firms, in turn, borrow more indicating that banks facilitate regional economic development policies.

We study whether government subsidies can stimulate bank funding of marginal investment projects and the associated effect on financial stability. We do so by exploiting granular project-level information for the largest regional economic development programme in Germany since 1997: the Improvement of Regional Economic Structures programme (GRW). By combining the universe of subsidised firms to virtually all German local banks over the period 1998-2019, we test whether this large-scale transfer programme destabilised regional credit markets. Because GRW subsidies to firms are destabilised at the EU level, we can use it as an exogenous shock to identify bank responses. On average, firm subsidies do not affect bank lending, but reduce banks’ distance to default. Average effects conflate important bank-level heterogeneity though. Conditional on various bank traits, we show that well capitalised banks with more industry experience expand lending when being exposed to subsidised firms without exhibiting more risky financial profiles. Our results thus indicate that stable banks can act as an important facilitator of regional economic development policies. Against the backdrop of pervasive transfer payments to mitigate Covid-19 losses and in light of far-reaching transformation policies required to green the economy, our study bears important implications as to whether and which banks to incorporate into the design of transfer Programmes.

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.

This paper documents a previously unrecognized debt‐related investment distortion. Using detailed project‐level data for 69 firms in the oil and gas industry, we find that highly levered firms pull forward investment, completing projects early at the expense of long‐run project returns and project value. This behavior is particularly pronounced prior to debt renegotiations. We test several channels that could explain this behavior and find evidence consistent with equity holders sacrificing long‐run project returns to enhance collateral values and, by extension, mitigate lending frictions at debt renegotiations.

Economic forecasts are an important element of rational economic policy both on the federal and on the local or regional level. Solid budgetary plans for government expenditures and revenues rely on efficient macroeconomic projections. However, official data on quarterly regional GDP in Germany are not available, and hence, regional GDP forecasts do not play an important role in public budget planning. We provide a new quarterly time series for East German GDP and develop a forecasting approach for East German GDP that takes data availability in real time and regional economic indicators into account. Overall, we find that mixed-data sampling model forecasts for East German GDP in combination with model averaging outperform regional forecast models that only rely on aggregate national information.