Understanding and quantifying total economic impacts of flood events is essential for flood risk management and adaptation planning. Yet, detailed estimations of joint direct and indirect flood-induced economic impacts are rare. In this study an innovative modeling procedure for the joint assessment of short-term direct and indirect economic flood impacts is introduced. The procedure is applied to 19 economic sectors in eight federal states of Germany after the flood events in 2013. The assessment of the direct economic impacts is object-based and considers uncertainties associated with the hazard, the exposed objects and their vulnerability. The direct economic impacts are then coupled to a supply-side Input-Output-Model to estimate the indirect economic impacts. The procedure provides distributions of direct and indirect economic impacts which capture the associated uncertainties. The distributions of the direct economic impacts in the federal states are plausible when compared to reported values. The ratio between indirect and direct economic impacts shows that the sectors Manufacturing, Financial and Insurance activities suffered the most from indirect economic impacts. These ratios also indicate that indirect economic impacts can be almost as high as direct economic impacts. They differ strongly between the economic sectors indicating that the application of a single factor as a proxy for the indirect impacts of all economic sectors is not appropriate.

Flash floods are caused by intense rainfall events and represent an insufficiently understood phenomenon in Germany. As a result of higher precipitation intensities, flash floods might occur more frequently in future. In combination with changing land use patterns and urbanisation, damage mitigation, insurance and risk management in flash-flood-prone regions are becoming increasingly important. However, a better understanding of damage caused by flash floods requires ex post collection of relevant but yet sparsely available information for research. At the end of May 2016, very high and concentrated rainfall intensities led to severe flash floods in several southern German municipalities. The small town of Braunsbach stood as a prime example of the devastating potential of such events. Eight to ten days after the flash flood event, damage assessment and data collection were conducted in Braunsbach by investigating all affected buildings and their surroundings. To record and store the data on site, the open-source software bundle KoBoCollect was used as an efficient and easy way to gather information. Since the damage driving factors of flash floods are expected to differ from those of riverine flooding, a post-hoc data analysis was performed, aiming to identify the influence of flood processes and building attributes on damage grades, which reflect the extent of structural damage. Data analyses include the application of random forest, a random general linear model and multinomial logistic regression as well as the construction of a local impact map to reveal influences on the damage grades. Further, a Spearman's Rho correlation matrix was calculated. The results reveal that the damage driving factors of flash floods differ from those of riverine floods to a certain extent. The exposition of a building in flow direction shows an especially strong correlation with the damage grade and has a high predictive power within the constructed damage models. Additionally, the results suggest that building materials as well as various building aspects, such as the existence of a shop window and the surroundings, might have an effect on the resulting damage. To verify and confirm the outcomes as well as to support future mitigation strategies, risk management and planning, more comprehensive and systematic data collection is necessary.

Weltweit verursachen Städte etwa 70 % der Treibhausgasemissionen und sind daher wichtige Akteure im Klimaschutz bzw. eine wichtige Zielgruppe von Klimapolitiken. Gleichzeitig sind Städte besonders stark von möglichen Auswirkungen des Klimawandels betroffen: Insbesondere extreme Wetterereignisse wie Hitzewellen oder Starkregenereignisse mit Überflutungen verursachen in Städten hohe Sachschäden und wirken sich negativ auf die Gesundheit der städtischen Bevölkerung aus. Daher verfolgt das Projekt ExTrass das Ziel, die städtische Resilienz gegenüber extremen Wetterereignissen in enger Zusammenarbeit mit Stadtverwaltungen, Strukturen des Bevölkerungsschutzes und der Zivilgesellschaft zu stärken. Im Fokus stehen dabei (kreisfreie) Groß- und Mittelstädte mit 50.000 bis 500.000 Einwohnern, insbesondere die Fallstudienstädte Potsdam, Remscheid und Würzburg. Der vorliegende Bericht beinhaltet die Ergebnisse der 14-monatigen Definitionsphase von ExTrass, in der vor allem die Abstimmung eines Arbeitsprogramms im Mittelpunkt stand, das in einem nachfolgenden dreijährigen Forschungsprojekt (F+E-Phase) gemeinsam von Wissenschaft und Praxispartnern umgesetzt werden soll. Begleitend wurde eine Bestandsaufnahme von Klimaanpassungs- und Klimaschutzstrategien/-plänen in 99 deutschen Groß- und Mittelstädten vorgenommen. Zudem wurden für Potsdam und Würzburg Pfadanalysen für die Klimapolitik durchgeführt. Darin wird insbesondere die Bedeutung von Schlüsselakteuren deutlich. Weiterhin wurden im Rahmen von Stakeholder-Workshops Anpassungsherausforderungen und aktuelle Handlungsbedarfe in den Fallstudienstädten identifiziert und Lösungsansätze erarbeitet, die in der F+E-Phase entwickelt und getestet werden sollen. Neben Maßnahmen auf gesamtstädtischer Ebene und auf Stadtteilebene wurden Maßnahmen angestrebt, die die Risikowahrnehmung, Vorsorge und Selbsthilfefähigkeit von Unternehmen und Bevölkerung stärken können. Daher wurde der Stand der Risikokommunikation in Deutschland für das Projekt aufgearbeitet und eine erste Evaluation von Risikokommunikationswerkzeugen durchgeführt. Der Bericht endet mit einer Kurzfassung des Arbeitsprogramms 2018-2021.

This article expands our current knowledge about ministerial selection in coalition governments and analyses why ministerial candidates succeed in acquiring a cabinet position after general elections. It argues that political parties bargain over potential office-holders during government-formation processes, selecting future cabinet ministers from an emerging bargaining pool'. The article draws upon a new dataset comprising all ministrable candidates discussed by political parties during eight government-formation processes in Germany between 1983 and 2009. The conditional logit regression analysis reveals that temporal dynamics, such as the day she enters the pool, have a significant effect on her success in achieving a cabinet position. Other determinants of ministerial selection discussed in the existing literature, such as party and parliamentary expertise, are less relevant for achieving ministerial office. The article concludes that scholarship on ministerial selection requires a stronger emphasis for its endogenous nature in government-formation as well as the relevance of temporal dynamics in such processes.

The thesis focuses on the inter-departmental coordination of adaptation and mitigation of demographic change in East Germany. All Eastern German States (Länder) have set up inter-departmental committees (IDCs) that are expected to deliver joint strategies to tackle demographic change. IDCs provide an organizational setting for potential positive coordination, i.e. a joint approach to problem solving that pools and utilizes the expertise of many departments in a constructive manner from the very beginning. Whether they actually achieve positive coordination is contested within the academic debate. This motivates the first research question of this thesis: Do IDCs achieve positive coordination? Interdepartmental committees and their role in horizontal coordination within the core executive triggered interest among scholars already more than fifty years ago. However, we don’t know much about their actual importance for the inter-departmental preparation of cross-cutting policies. Until now, few studies can be found that analyzes inter-departmental committees in a comparative way trying to identify whether they achieve positive coordination and what factors shape the coordination process and output of IDCs. Each IDC has a chair organization that is responsible for managing the interactions within the IDCs. The chair organization is important, because it organizes and structures the overall process of coordination in the IDC. Consequently, the chair of an IDC serves as the main boundary-spanner and therefore has remarkable influence by arranging meetings and the work schedule or by distributing internal roles. Interestingly, in the German context we find two organizational approaches: while some states decided to put a line department (e.g. Department of Infrastructure) in charge of managing the IDC, others rely on the State Chancelleries, i.e. the center of government. This situation allows for comparative research design that can address the role of the State Chancellery in inter-departmental coordination of cross-cutting policies. This is relevant, because the role of the center is crucial when studying coordination within central government. The academic debate on the center of government in the German politico-administrative system is essentially divided into two camps. One camp claims that the center can improve horizontal coordination and steer cross-cutting policy-making more effectively, while the other camp points to limits to central coordination due to departmental autonomy. This debate motivates the second research question of this thesis: Does the State Chancellery as chair organization achieve positive coordination in IDCs? The center of government and its role in the German politic-administrative system has attracted academic attention already in the 1960s and 1970s. There is a research desiderate regarding the center’s role during the inter-departmental coordination process. There are only few studies that explicitly analyze centers of government and their role in coordination of cross-cutting policies, although some single case studies have been published. This gap in the academic debate will be addressed by the answer to the second research question. The dependent variable of this study is the chair organization of IDCs. The value of this variable is dichotomous: either an IDC is chaired by a Line department or by a State Chancellery. We are interested whether this variable has an effect on two dependent variables. First, we will analyze the coordination process, i.e. interaction among bureaucrats within the IDC. Second, the focus of this thesis will be on the coordination result, i.e. the demography strategies that are produced by the respective IDCs. In terms of the methodological approach, this thesis applies a comparative case study design based on a most-similar-systems logic. The German Federalism is quite suitable for such designs. Since the institutional framework largely is the same across all states, individual variables and their effect can be isolated and plausibly analyzed. To further control for potential intervening variables, we will limit our case selection to states located in East Germany, because the demographic situation is most problematic in the Eastern part of Germany, i.e. there is a equal problem pressure. Consequently, we will analyze five cases: Thuringia, Saxony-Anhalt (line department) and Brandenburg, Mecklenburg-Vorpommern and Saxony (State Chancellery). There is no grand coordination theory that is ready to be applied to our case studies. Therefore, we need to tailor our own approach. Our assumption is that the individual chair organization has an effect on the coordination process and output of IDCs, although all cases are embedded in the same institutional setting, i.e. the German politico-administrative system. Therefore, we need an analytical approach than incorporates institutionalist and agency-based arguments. Therefore, this thesis will utilize Actor-Centered Institutionalism (ACI). Broadly speaking, ACI conceptualizes actors’ behavior as influenced - but not fully determined - by institutions. Since ACI is rather abstract we need to adapt it for the purpose of this thesis. Line Departments and State Chancelleries will be modeled as distinct actors with different action orientations and capabilities to steer the coordination process. However, their action is embedded within the institutional context of governments, which we will conceptualize as being comprised of regulative (formal rules) and normative (social norms) elements.