We show that weather-related natural disasters in the United States significantly weaken the financial stability of banks with business activities in affected regions. This is reflected in higher probabilities of default, lower z-scores, higher non-performing assets ratios, higher foreclosure ratios, lower returns on assets and lower equity ratios of affected banks in the years following a natural disaster. The effects are economically relevant and highlight the financial vulnerability of banks and their borrowers despite insurances and public aid programs.

In diesem Beitrag versuchen wir eine erste Zwischenbilanz des Strukturwandels in der Lausitz aufzustellen. Dabei geht es zunächst um eine Bestandsaufnahme. Die beiden Zielgrößen, die Politik und Öffentlichkeit vermutlich am meisten interessieren, sind die Zahl der Arbeitsplätze, die durch die bisher bewilligten Strukturwandelprojekte neu geschaffen werden, sowie deren räumliche Verteilung in der Region. Beides werden wir in einem kurzen Überblick darstellen. In einem zweiten Schritt werden wir eine Gesamtschau auf den Strukturwandel in der Region präsentieren, welche die Einbettung des Lausitzer Strukturwandels in breitere Entwicklungen berücksichtigt. Darauf aufbauend diskutieren wir für die einzelnen Produktionsfaktoren welche strategischen Empfehlungen auf der Basis der wissenschaftlichen Diskussion und des aktuellen Entwicklungsstandes in der Lausitz gegeben werden können.

Die Zusammenlegung von Polizeikräften durch die Schließung von Polizeiposten ist ein vielbeobachtetes Phänomen in entwickelten Volkswirtschaften. Polizeiposten stellen einen bedeutenden und sichtbaren Teil der öffentlichen Infrastruktur dar. Als Ergebnis der vorliegenden Studie zeigt sich, dass die Schließung von Polizeiposten zu einem Anstieg von Autodiebstählen und Wohnungseinbrüchen führt. Diese Resultate können nicht durch Verdrängungseffekte in andere Regionen, veränderte Einsatzstrategien der Polizeieinheiten oder eine geringere Inhaftierung von Kriminellen erklärt werden. Vielmehr sind sie konsistent mit einer veränderten Wahrnehmung der Aufklärungswahrscheinlichkeit. Somit zeigt sich, dass die Sichtbarkeit von lokalen Polizeiposten zur Abschreckung und demnach zur Kriminalitätsbekämpfung beiträgt.

Am 14. August 2020 trat das Strukturstärkungsgesetz Kohleregionen in Kraft. Mit dem Gesetz wurde anlassbezogen ein neuer Baustein in der Regionalpolitik geschaffen. In diesem Beitrag ziehen wir, gut zweieinhalb Jahre nach dem Startschuss, eine Zwischenbilanz des Strukturwandels in der Lausitz. Dabei geht es zunächst um eine kurze Bestandsaufnahme der Zielgrößen, die im Fokus der öffentlichen Wahrnehmung stehen: die Zahl der Arbeitsplätze, die durch die bisher bewilligten Strukturwandelprojekte neu geschaffen werden, sowie die Verwendung und die räumliche Verteilung der Strukturstärkungsmittel in der Region.

This paper studies the role of social connections in shaping individuals’ concerns about climate change. I combine granular climate data, region-level social network data and survey responses for 24 European countries in order to document large information spillovers. Individuals become more concerned about climate change when their geographically distant friends living in sociallyconnected regions have experienced large increases in temperatures since 1990. Exploring the heterogeneity of the spillover effects, I uncover that the learning via social networks plays a central role. Further, results illustrate the important role of social values and economic preferences for understanding how information spillovers affect individual concerns.

We develop a general approach for stress testing correlations of financial asset portfolios. The correlation matrix of asset returns is specified in a parametric form, where correlations are represented as a function of risk factors, such as country and industry factors. A sparse factor structure linking assets and risk factors is built using Bayesian variable selection methods. Regular calibration yields a joint distribution of economically meaningful stress scenarios of the factors. As such, the method also lends itself as a reverse stress testing framework: using the Mahalanobis distance or Highest Density Regions (HDR) on the joint risk factor distribution allows to infer worst-case correlation scenarios. We give examples of stress tests on a large portfolio of European and North American stocks.

We empirically investigate whether firms doing business in regions characterized as having high social trust receive preferential treatment on loan contractual terms by foreign banks. Tracing cross-border syndicated lending activities in China, we document that firms located in provinces with higher social trust scores obtain significantly low costs of bank loans and experience less stringent collateral requirement. To address the potential endogeneity issues, we adopt an instrumental variable approach and a two-sided matching model, and report consistent results. We also estimate a system of three equations through three-stage-least square estimator to accommodate the joint determination of price and non-price terms in loan contracts. In addition, we find that the effect of social trust on cost of bank loans is more prominent for firms located in provinces with relatively less developed formal institutions.

We conduct a discrete choice experiment to investigate how the location of a firm in a rural or urban region affects job attractiveness and contributes to the spatial sorting of university students and graduates. We characterize the attractiveness of a location based on several dimensions (social life, public infrastructure, connectivity) and combine this information with an urban or rural attribution. We also vary job design as well as contractual characteristics of the job. We find that job offers from companies in rural areas are generally considered less attractive. This is true regardless of the attractiveness of the region. The negative perception is particularly pronounced among persons with urban origin and singles. These persons rate job offers from rural regions significantly worse. In contrast, high-skilled individuals who originate from rural areas as well as individuals with partners and kids have no specific preference for jobs in urban or rural areas.

We exploit staggered real estate transaction tax (RETT) hikes across German states to identify the effect of house price changes on mortgage credit supply. Based on approximately 33 million real estate online listings, we construct a quarterly hedonic house price index (HPI) between 2008:q1 and 2017:q4, which we instrument with state-specific RETT changes to isolate the effect on mortgage credit supply by all local German banks. First, a RETT hike by one percentage point reduces HPI by 1.2%. This effect is driven by listings in rural regions. Second, a 1% contraction of HPI induced by an increase in the RETT leads to a 1.4% decline in mortgage lending. This transmission of fiscal policy to mortgage credit supply is effective across almost the entire bank capitalization distribution.