Open Access

We are in a phase of an alarming biodiversity loss, by scientist already referred to as Earth’s sixth mass extinction. According to estimations, the current extinction rates are 100 to 1000 times higher than those predicted from fossil records. To counteract species loss and preserve the remaining biodiversity, with its important ecosystem functioning and services essential to human well-being, there is an urgent need to develop promising and long-term conservation strategies. In order to achieve these goals, extensive research to gain a better understanding of the general mechanisms underlying community diversity is of greatest importance. Especially, the identification of intrinsic ecological and distributional species traits is receiving increased attention in ecology and conservation biology research. Depending on the expression of their traits, species perform particular ecosystem functions and respond in a specific manner to environmental conditions. The identification of the effect of certain traits on community compositions can therefore significantly improve our understanding of species extinction processes and help to develop valuable and appropriate recommendations for conservation management. As trait-based analyses are applicable to different geographical, temporal and taxonomical scales, they may even allow for a broader generalization if similar results are found on different scales, i.e. for local species pools, the complete species pools of different habitat types or the entire species pool across several habitat types including different climatic regions. Although insects make up the largest part of animal diversity and provide essential ecosystem services in form of e.g. pollination, pest control, and decomposition, the majority of studies on extinctions have mainly focused on vertebrates. Among invertebrates either charismatic taxa or those targeted by conservation laws have been investigated until now (e.g. butterflies or saproxylic beetles). Being highly species-rich and trait-diverse, ground beetles (Coleoptera: Carabidae) should be even more suitable for conducting trait-based analyses. Thus, using ground beetles as a model taxon, four case studies focusing on the analyses of traits form the basis of this doctoral thesis. The work of this thesis was conducted with the aim of gaining general insights on the influence of species traits on ground beetle community compositions, such as habitat occupancy and species vulnerability to extinction, for instance. An important aspect when investigating species traits is the consideration of confounding factors which could influence the results, such as dependent relations between the different traits. Compiling a large dataset of 566 Central European species, I identified that dependent relations between the six tested traits of ground beetles (distribution range size, habitat specialization, body size, hind-wing morphology, breeding season and trophic level) are highly common. Across all identified dependent trait relations, the relation between body size and hind wing morphology or range size and hind wing morphology showed the strongest significant dependencies. Since the consideration of trait relations is necessary to provide reliable interpretations, all analyses of this thesis tested several traits simultaneously and considered possible trait interactions. Studies on local communities found specific traits characterizing the local species pools of certain habitat types. Here, the species pools of seven different habitat types (coastal, forest, mountain, open, riparian, wetland and special habitat) were used to determine habitat-specific trait filters. The identified traits, characteristic for certain habitat types, were in most cases in accordance with the previous findings on local communities. Across Germany, the species of frequently disturbed habitat types, namely coastal, riparian and wetland habitats were characterized by small body size, high amount of macroptery, intermediate to high habitat specialization, spring breeding, and predatory feeding behavior. The species of stable habitat types (forest, mountain, and open habitats), however, were found to be generally larger in body size and more frequently breeding in autumn, further displaying greater variations in the other traits. The gained knowledge on the habitat-specific filtering of traits improve our understanding of the organization and assembly of communities, and can thereby help to detect alterations in the habitat-specific species pool due to natural or human-induced environmental changes. Furthermore, traits can provide evidence on species occurrences and vulnerability to extinction. Three case studies of this thesis aimed to gain new insights on this topic, through the investigations on the following research questions; I. Which traits drive species extinction risks of Central European ground beetle species, II. How traits influence the species occurrences of 28 forest species within a large area in Central Europe, and III. Whether certain traits are related to long-term population trends of the species pool from an ancient forest in northern Germany. The results indicated, that depending on the habitat type and tested species pool, different traits prove to be good predictors for the vulnerability of species. Nevertheless, across different geographical and taxonomical scales, especially species with small range sizes and high habitat specialization faced a greater risk of extinction. Therefore, the two traits distributional range size and habitat specialization emerge as reliable predictors of ground beetles vulnerability to extinction. Interestingly, body size did not display a consistent response; while increasing body size led to higher extinction risk in riparian, wetland and open habitats and large macropterous species showed higher extinction risks across the entire species pool, smaller species showed long-term population declines in an ancient forest. To summarize, this thesis presents a comprehensive picture of ground beetle species traits, providing valuable insights and a better understanding of the mechanisms driving changes in ground beetle diversity. On the basis of the results presented in this work, the efficiency of biodiversity protection can be increased by developing appropriate management and recovery plans, especially targeting species of threatened habitat types or ‘functional groups’ of species, exhibiting trait values strongly associated with a greater vulnerability to extinction.

This doctoral research is located in the branch of sustainability sciences that has the realisation of sustainable development as its core subject of research. The most broadly accepted notion of sustainable development is that which evolves along the resolutions, declarations, and reports from international processes in the framework of the United Nations (UN). The consensual outputs from such processes feature global-generalised and context-free perspectives. However, implementation requires action at diverse and context-rich local levels as well. Moreover, while in such UN processes national states are the only contractual parties, it is increasingly recognised that other (‘nonstate’) actors are crucial to sustainability. The research presented here places the attention on bottom-up initiatives that are advancing innovative ways to tackle universal access to clean energy and to strengthen small-scale family farmers. This means, the focus is on bottom-up initiatives advancing local implementation of global sustainability targets, more precisely, targets that make part of the Sustainable Development Goals two and seven (SDG 2 and SDG7). The research asks how such bottom-up initiatives can contribute to the diffusion of sustainability innovations, thereby also contributing to social change. Three aims are derived out of that central question: • Analytical: To understand the role of bottom-up initiatives in the diffusion of sustainability innovations and in the thereby involved social changes. • Transformative: To contribute with my research to the actual diffusion of sustainability innovations. • Methodological: To outline a research approach that provides a solid conceptual and methodological framework for attaining the analytical and transformative aims. Conceptually, the research builds on theoretical insights from diverse strands of the broad field of sustainability transitions – mostly on conceptualisations from transition management, strategic niche management, and grassroots innovations – as well as on conceptual and methodological advances in transdisciplinary and in transformative research. The doctoral research comprises four single studies, in which the notion of diffusion is explored at different scopes of social scales. It begins with a thorough analysis of diffusion programs of domestic biodigesters to rural households in countries of the global south. The focus is on the process by which this specific technical inno0vation results integrated (or not) into the daily realities of single rural households, that is, the adoption process. In the second study, the attention is on energy supply models based on different decentralised renewable technologies. Central to these models is the building of new (or strengthening of existing) local socioeconomic structures that can assume and ensure the proper operation and supply of energy services. The interest in this study is on the strategies that organisations implementing community-based energy projects apply to support the realisation of such local structures. The third study focuses on a network of bottom-up initiatives that have been advancing alternative approaches to family farming in Colombia. The network mainly comprises farmers associations, other organisations from civil society, and researchers who had been collaborating and experimenting with innovations in different innovation fields such as technical, organisational, financial, and commercialisation schemes. The aim of this third study is to provide insights into the challenges and difficulties faced by these actors in broadening the diffusion of the innovations they have been advancing. To perform this study, a methodological strategy is applied that combines a transdisciplinary mutual learning format with qualitative content analysis techniques. The fourth and last study is a conceptual disquisition. It develops a conceptual framework that (a) provides better accounts for the particularities of endeavours aimed at the diffusion of knowledge and practices from the bottom-up across local contexts and social scales, and (b) advances first conceptual steps towards an explicit account for the role that innovation research (and innovation researchers) can assume for the actual realisation of diffusion. The main findings or contributions of the doctoral research can be categorised into four subjects: 1) Bottom-up initiatives contribute to the diffusion of sustainable innovations by: (a) mobilising transformative resources for inducing diffusion in their scope of action; both their own as well as others’ resources; and (b) creating spaces for experimentation in which interventions can be tested (and if necessary adjusted) in order to ensure the proper deployment of innovations. 2) In their efforts to advance the diffusion of sustainability innovations, bottom-up initiatives contribute to social changes for (a) ensuring the effective deployment of the innovations, for instance: • by supporting change in the sociotechnical configurations that enable and constrain the daily practices of single households, in a way that permits the innovation’s proper operation; and • by reshaping local socioeconomic structures in order to ensure and sustain the supply of services and goods linked to the implemented innovation; (b) building local available storage of transformative resources, that is, the consolidation of local organisational structures that facilitate the building and binding of knowledge, financial capital, people’s skills, access to networks among other resources. Moreover, knowledge and practices from the bottom-up can transit to other social scales, and in this way contribute to social changes beyond their localities. 3) A conceptualisation of innovation diffusion, in which the work of academic researchers studying innovation is a constitutive part of transdisciplinary knowledge articulations that promote diffusion. In this way transdisciplinary research alliances can be envisioned in which researchers investigate about, with, and for bottom-up initiatives. 4) Contributions to the consolidation, systematisation, and dissemination of strategies that are applied by farmers associations in order to strength the economic, social, environmental, and cultural dimensions of Colombian family farmers. The contours of two research horizons for further research are outlined, they can be briefly described as: (a) explorations of diffusion beyond bottom-up localities involving changes of socio-political structures and (b) the development of conceptual and methodological frameworks for the realisation of bottom-up transformative research alliances.

The topic of the dissertation, entitled ´Cross-national evaluation of the sources of anti-trafficking enforcement´, is highly relevant from the perspectives of global governance and human rights protection. This thesis aims to provide a quantitative, cross-nationally comparative, longitudinal and multilevel study of the drivers and hindrances of national governments´ anti-trafficking measures. In this research, both macro-level determinants of anti-trafficking enforcement and micro-level foundations of human trafficking are explored. In the manuscript, large-N comparative research examines how characteristics of countries interact with people´s attitudes towards violence to better understand what creates environments that are more or less supportive of governments´ anti-trafficking efforts. The results presented in the thesis speak not only in favor of studying this topic systematically and cross-nationally, addressing existing gaps in the literature but also in favor of combining macro- and micro-level evidence for developing more effective policy responses against human trafficking.

In response to the challenges of the energy transition, the German electricity network is subjected to a process of substantial transformation. Considering the long latency periods and lifetimes of electricity grid infrastructure projects, it is more cost-efficient to combine this need for transformation with the need to adapt the grid to future climate conditions. This study proposes the spatially varying risk of electricity grid outages as a guiding principle to determine optimal levels of security of electricity supply. Therefore, not only projections of future changes in the likelihood of impacts on the grid infrastructure were analyzed, but also the monetary consequences of an interruption. Since the windthrow of trees was identified a major source for atmospherically induced grid outages, a windthrow index was developed, to regionally assess the climatic conditions for windthrow. Further, a concept referred to as Value of Lost Grid was proposed to quantify the impacts related to interruptions of the distribution grid. In combination, the two approaches enabled to identify grid entities, which are of comparably high economic value and subjected to a comparably high likelihood of windthrow under future climate conditions. These are primarily located in the mid-range mountain areas of North-Rhine Westphalia, Baden-Württemberg and Bavaria. In comparison to other areas of less risk, the higher risk in these areas should be reflected in comparably more resilient network structures, such as buried lines instead of overheadlines, or more comprehensive efforts to prevent grid interruptions, such as structural reinforcements of pylons or improved vegetation management along the power lines. In addition, the outcomes provide the basis for a selection of regions which should be subjected to a more regionally focused analysis inquiring spatial differences (with respect to the identified coincidence of high windthrow likelihoods and high economic importance of the grid) among individual power lines or sections of a distribution network.

Das Ziel der vorliegenden Dissertation ist es, die Auswirkungen des Klimawandels auf die Entwicklung des Vorlandes als Ergebnis der sich ändernden hydraulischen Bedingungen zu untersuchen. Die Untersuchung beschäftigt sich mit der Entwicklung des Vorlandes, da dieses Gebiet stark abhängig von Wasserstandsänderungen ist. Diese werden möglicherweise durch Klimawandel verstärkt und können folglich die zahlreichen Funktionen des Vorlandes beinträchtigen. Diese Problematik erfordert die Durchführung einer Untersuchung, die zunächst die durch die Variationen der Wasserstände betroffenen physikalischen Prozesse im Fluss und in den Flussauen analysiert und anschließend eine Methodologie für die Analyse der zukünftigen Entwicklung des Vorlandes herleitet. Beispielhaft wurde ein Bereich an der unteren Mittelelbe in Niedersachsen, Norddeutschland für die Untersuchung ausgewählt. Zu diesem Zweck befasst sich die Untersuchung im ersten Teil mit der aktuellen Diskussion über den Klimawandel und mit den bestehenden Schwierigkeiten, zu einer belastbaren zukünftigen Prognose des Ausmaßes der klimatischen Veränderungen zu gelangen. Anschließend konzentriert sich die Untersuchung auf die Interaktionen zwischen Abflüssen, Vegetation und Sedimenten, die die Flussmorphodynamik bedingen. In diesem Teil der Untersuchung werden die Konzepte des Equilibriums des Flusses und der Anpassung des Gerinnes erläutert. Diese beschäftigen sich mit der Reaktionskette, die aufgrund des Klimawandels im Fluss und in den Flussauen ausgelöst werden kann. Darauffolgend werden die mathematischen Beziehungen für die Darstellung der physikalischen Prozesse, die bei Veränderungen der Abflüsse, der Vegetation und Sedimentation stattfinden, und die entsprechenden Wechselwirkungen erläutert. Zu ihnen gehören Gleichungen zur Darstellung der Flusswasserbewegung, des Widerstandes, der Sedimentation, der Grundwasserbewegung und der Bodenwasserbewegung. Ein Aspekt, der entlang der gesamten Untersuchung hervorgehoben wird, ist die enge Beziehung zwischen den Fluss- und Flussauenprozessen und der in diesen Zonen bestehenden Vegetation. Ein weiterer Schwerpunkt dieser Arbeit ist die Untersuchung der mathematischen Modelle, die eine Analyse des zukünftigen Verhaltens des Vorlandes ermöglichen. Mithilfe dieser Untersuchung werden die Vorteile der eindimensionalen Modellierung für die Prognose der Entwicklung dieses Gebiets deutlich. Hinsichtlich Modellierungen von längeren Zeiträumen, z.B. über 100 Jahre, wie in der vorliegenden Arbeit, liefert die eindimensionale Modellierung schnellere Ergebnisse mit weniger Rechnerleistung. Die Untersuchung im ersten Teil der Dissertation führt zur Erkenntnis, dass sich das Verhalten des Vorlandes aus der Interaktion zwischen Fluss- und Flussauenmorphologie und der Auenvegetation ergibt. Diese Interaktionen bestimmen letztlich die zukünftigen Wasserstände und somit die hydraulischen Bedingungen für diese Zone. Für die Analyse des zukünftigen Verhaltens des Vorlandes unter Einfluss des Klimawandels wird eine Methodologie vorgeschlagen, die als Dynamische Interaktion von Modellen bezeichnet wird. Diese Methodologie prognostiziert die Entwicklung des Vorlandes als Ergebnis der Interaktion zwischen Fluss- und Flussauenmorphologie und der Vegetation. Um diese Prognose durchzuführen, werden drei eindimensionale Modelle verwendet, die eine Darstellung des Verhaltens der Fluss- und Flussauenmorphologie und der Vegetation ermöglichen. Die Fluss- und Flussauenmorphologie wird durch ein eindimensionales Flussmodell und ein eindimensionales Sedimenttransportmodell dargestellt. Für die Bestimmung der Verteilung der Vegetation wird zunächst die Bodenwasserbewegung modelliert. Mit diesen Ergebnissen wird durch den Zusammenhang zwischen Bodenwasserstand, Überflutungstoleranz der Pflanzen und Geländehöhe die Variation der potenziellen Flächen für die Pflanzengesellschaften, ein in dieser Dissertation entwickeltes Konzept, analysiert. Der Einfluss des Klimawandels wird durch die Variation von Abflüssen im Flussmodell, im Sedimenttransport- und Bodenwasserbewegungsmodell, sowie bei der Analyse von Veränderungen der Vegetation, berücksichtigt. Dazu werden die durch regionale Klimamodelle prognostizierten zukünftigen Niederschläge in die Berechnung der zukünftigen Abflüsse durch eine in dieser Dissertation entwickelten Modifikation des stochastischen Modells AutoRegressive-Moving-Average (ARMA) eingeschlossen. Die ausgearbeiteten Entwicklungsprognosen der verschiedenen Modelle werden miteinander verknüpft, um zukünftige Wasserstände und Überflutungen und damit die neuen hydraulischen Bedingungen für das Vorland zu prognostizieren. Im zweiten Teil dieser Dissertation wird die vorgeschlagene Methodologie der Dynamischen Interaktion von Modellen in einem Fallbeispiel angewandt. Dafür wurden zwei Messstationen an der Elbe zwischen Elbe-km 511 und 515 installiert, die auch im Rahmen des Projekts KLIMZUG-NORD verwendet wurden. Diese Messstationen ermöglichten innerhalb von 2 Jahren die Erhebung von mehr als 300.000 Felddaten. Diese Informationen erlauben es, die Entwicklung des Vorlandes (2021-2050) in einer regulierten Flussstrecke der Elbe (Mittelelbe) zu prognostizieren. Dazu werden zunächst die bedeutenden Charakteristika des Untersuchungsgebiets dargestellt und nachfolgend Material und Methoden erläutert, die für die Analyse der Entwicklung des Vorlandes im Untersuchungsgebiet erforderlich sind. Die Flussmorphologie wird für den Zeitraum 2001-2100 modelliert, da eine Tendenz bei möglichen Variationen in einem kurzen Zeitraum nur schwer wahrgenommen werden kann. Die jeweiligen Modelle werden u.a. mithilfe erhobener Felddaten, Daten aus der Literatur, Klimadaten aus den Stationen des Deutschen Wetterdiensts (DWD), projizierten Daten des regionalen Klimamodells REMO, Daten des hydrologischen ATLAS von Deutschland, Abflussdaten des Pegels Neu Darchau (Elbe-km 536,4), Geschiebe-Schwebstoffdaten des Wasser- und Schifffahrtsamts (WSA) und der Bundesanstalt für Gewässerkunde (BfG), Wassertemperaturdaten der Arbeitsgemeinschaft für die Reinhaltung der Elbe (ARGE-ELBE) und das Digitale Geländemodell (DGM) kalibriert. Die durch das stochastische Modell ARMA/Variation erhaltenen Berechnungen der zukünftigen Abflüsse, die die Prognose der regionalen Klimamodelle berücksichtigen, werden mit den durch die BfG-Modelle erhaltenen Ergebnissen verglichen, um die Problematik der Vielfalt von klimatischen Prognosen anzugehen. Die BfG-Modelle wurden im Rahmen des Projekts Klimaveränderung und Wasserwirtschaft (KLIWAS) entwickelt. Die Anwendung der Methodologie der Dynamischen Interaktion von Modellen auf das Untersuchungsgebiet ermöglicht die Annahme, dass in den nächsten 30 Jahren aufgrund des Klimawandels (Zunahme der Winterniederschläge) ein Anstieg der Wasserstände und Überflutungsrisiken im Vorland dieses Gebiets auftreten wird. Dieser prognostizierte Zustand des Vorlandes basiert hauptsächlich auf Veränderungen der Vegetation, da diese zu neuen Rauigkeitswerten (Manning-Werten) und dadurch zum Anstieg der Wasserstände führen. Schließlich werden in dieser Dissertation die Anwendung und Bedeutung der vorgeschlagenen Methodologie für die Analyse der Entwicklung des Vorlandes anderer Flüsse und Regionen außerhalb Mitteleuropas behandelt.

Over 25 years after the UNCED conference in Rio de Janeiro in 1992, agriculture in the European Union (EU) has below the line not come much closer to being sustainable. By now, efforts to promote sustainability in agriculture have predominantly been based on “mainstream science”. This has resulted in strategies directed mainly at agricultural production, measures targeted at individual farms, and a major focus on technology-centered solutions. Yet, there have been many claims emphasizing that such approaches are insufficient to deal with wicked, sustainability-related problems. Rather, it has been argued, we need to question the governance of sustainability issues, i.e. who makes which decisions in which way. A central aspect of sustainability governance is collaboration, which has been lauded for its benefits but also criticized for its challenges. The potential benefits of collaboration have apparently been recognized also in the context of EU agriculture. Yet, there has been a lack of holistic consideration of how collaboration can be systematically integrated and promoted in the governance of EU agriculture. Sustainable agriculture cannot only be encouraged through changes in the overall governance system but also through the support of existing and emerging small-scale collaborative initiatives for sustainable agriculture. Indeed, there has been substantial research on the conditions that influence success of similar collaborative initiatives. However, the knowledge resulting from this research remains rather scattered and does not allow for the identification of overall patterns. Additionally, little of this research specifically focuses on sustainable agriculture. What is more, the promotion of collaboration for sustainable agriculture is further complicated by the lack of clarity of the meaning of sustainable agriculture, which is an inherently ambiguous and contested concept. This cumulative dissertation aims to address these gaps by contributing to a better understanding of how collaboration can be facilitated and designed as a means to govern for and advance sustainable agriculture. For this purpose, the dissertation addresses three sub-aims: 1) Advancing the understanding of the concept of sustainable agriculture; 2) scrutinizing the current governance system regarding its potential to facilitate or hamper collaboration; 3) assessing conceptually and empirically how actor collaboration can be facilitated as a means to govern for sustainable agriculture, both from a top-down and a bottom-up perspective. In doing so, this dissertation focuses on EU agriculture and applies a mix of methods, ranging from qualitative to quantitative dominant. The findings of this dissertation highlight that collaboration has been underappreciated and even hampered as an approach to governing for sustainable agriculture. In contrast, this dissertation argues that collaboration offers one promising way to promoting and realizing agriculture and emphasizes the need to integrate different approaches to collaboration and to sustainable agriculture. Thus, the findings of this dissertation encourage and justify more research, discussion, and action around collaboration in the context of sustainable agriculture. Additionally, the dissertation provides first tangible insights both on principles for systemic change to promote governance for sustainable agriculture and on factors that are crucial for the successful management of small-scale collaborative initiatives. Most importantly, this dissertation advocates an ‘integrative attitude’ among and between scientists and practitioners which could enable more collegial, collaborative and hopefully more constructive research, discussion and action for sustainable agriculture.

Achieving the ‘Great Transformation’ demands a closer consideration of the material basis of technologies, whose broad-scale implementation is often associated with efficiency improvements and progress towards a post-fossil society, but which is largely disregarded as of today. At the same time, the discourse on resource-related issues only rarely evolves around achieving an actual fundamental shift towards sustainability in the sense of a ‘material transition’. The notion of this mutual disconnect – a ‘transformation-material gap’ that exists in both research and practice – is the main driver for this dissertation. Metals fulfill crucial functions in areas as diverse as renewable energy, digitization and life style appliances such as smart home concepts, mobility, communication, or medicine. In the context of sustainability, achieving a more sustainable metal use means (i) minimizing the adverse effects associated with metal production and use and (ii) sustaining the availability of metals in a way that benefits present and future generations. Urgent need to act to avoid bottlenecks as well as meeting the challenge of possible conflicts of use among those areas of application calls for appropriate strategy making to intervene in the complex field of metal production and use that involves various, often interlinked operating levels, actors, and spatial and temporal scales. Located within the field of sustainability science, this dissertation focuses on strategies as a means to intervene in a system. It pursues the question, which design features could guide future strategy making to foster sustainability along the whole metal life cycle, and especially, how a better understanding of temporalities – i.e. understanding time in a diverse sense – could improve strategy design and help to bridge the assumed ‘transformation-material gap’. My research converges the results from four research studies. A conceptual part explores the role of temporalities for interventions in complex and interlinked systems, which adds to the conceptual basis, on which the empirical part builds up to explore present and future interventions in metal production and use. The research revealed three essential needs that future strategies must tackle: (i) managing the complex interlinkages of processes and activities on various operational levels and spatial and temporal scales, (ii) providing clear guidance concerning the operationalization of sustainability principles, and (iii) keeping activities within the planet’s carrying capacity and embracing constant change as an inherent system characteristic. In response to these needs, I developed three guidelines with two design features each (one relating to content, and one to the process of formulating and implementing the strategy) to guide future strategy making: 1. Design strategies based on a profound understanding of the system and its interrelations, but bear in mind context-specific characteristics. (Comprehensive, but tailored.) 2. Design strategies to achieve fundamental change in a cooperative and inclusive manner. (Ambitious, but manageable.) 3. Design strategies to strengthen resilience in a constantly changing environment. (Dynamic, but consistent.) My results show that TIME MATTERS in this respect. If considered in close relation to space and diversely understood in the sense of temporalities, it serves to (i) understand the impact (duration and magnitude) of an intervention, (ii) recognize patterns of change that go beyond establishing linear, one-dimensional connections, and (iii) design interventions in a way that considers the resilience of a system. While these findings can contribute to closer considering our understanding of transformation processes towards sustainability in future interventions in metal production and use, more research is needed on approaches that bring the material basis into closer consideration of transformation processes in research and practice.

This paper-based dissertation deals with capital structures and tax policies of German family businesses. The provision of sufficient financial resources is crucial for a firm’s survival and thus represents a central task for a firm’s management. Family firms as the predominant company form in Germany are mainly characterized by the overlapping of the two spheres family and business, both having different goal systems and preferences. This also has an impact on decision making with regard to corporate finance including the application of tax avoidance policies. In Germany, bank finance is the dominant financing source for family firms but there is a preference for internal finance since it comes along with more external independency. Extant research usually bases its results on samples of publicly listed companies. These studies come up with different results regarding family firms’ actual financing preferences and capture their heterogeneity only to a very little extent. In this light, the present dissertation and its three papers examine different research questions in the context of capital structure decisions and tax avoidance in family firms. All the three papers apply a quantitative empirical research design. The first paper is a comparison between capital structures of family firms and non-family firms. The paper examines differences in bank debt and trade credit ratios. Overall, the findings show that family firms have significantly higher overall and long-term debt levels compared to their non-family counterparts. The identity as a family firm, which leads to a leap of faith by banks, can be a possible explanation for these results. The second paper is an in-depth examination of drivers of bank debt levels within the group of family firms. Further, it addresses heterogeneity amongst family firms and combines survey results and corresponding financial information. This represents a first attempt to capture family firm heterogeneity and its link to financial issues. The study shows that the more power in the company is exerted via management or supervisory board by the family, the less bank debt is used. Paper three is an extension of the previous two studies as it sheds light on tax avoidance, a significant instrument to strengthen the internal financing capability of a firm. This also takes up a research gap as there is very little research on taxation in family firms. Contrary to the expectation, the study reveals that private family firms might pay less tax than their non-family peers.

In sub-Saharan Africa, women own or partly own one third of all businesses, thereby having a large potential to contribute to the economic development and societal well-being in this region. However, women-owned businesses tend to lag behind men-owned businesses in that they make lower profits, grow more slowly, and create fewer jobs. To identify reasons for this gap and effective means to promote women entrepreneurs, large parts of the entrepreneurship literature have compared male and female entrepreneurs with regard to individual characteristics, paying only limited attention to the underlying environmental conditions. This is problematic as women entrepreneurs operate under different conditions than men, with particularly pronounced differences in sub-Saharan Africa. Against this backdrop, the goal of this dissertation is to contribute to a more profound understanding of women entrepreneurship in sub-Saharan Africa and its promotion through training by examining critical context factors. Specifically, I analyze two context factors that influence women’s entrepreneurial performance and the success of training interventions: 1) women entrepreneurs’ husbands and 2) the entrepreneurship trainer. These analyses are embedded in considerations of the cultural, social, and economic conditions women entrepreneurs in sub-Saharan Africa are facing. In Chapter 2, I conduct a systematic literature review on spousal influence in entrepreneurship and identify six recurrent types of influence. Complementing the literature originating from Western settings, I develop propositions on how the sub-Saharan context affects husbands’ influence on women entrepreneurship in this region. In Chapter 3, I build on a cultural theory and an economic theory of the household to develop and empirically test a theoretical model of husbands’ constraining and supportive influences on women entrepreneurship in sub-Saharan Africa. The empirical results point to three distinct types of husbands that differ significantly in their impact on women entrepreneurs’ business success. In Chapter 4, I explore the influence of the trainer on the effectiveness of entrepreneurship training in sub-Saharan Africa by drawing on an unsuccessful training implementation. Qualitative analyses indicate that the use of adequate teaching methods is critical towards training success. Overall, this dissertation makes an important contribution towards a better understanding of women entrepreneurs in sub-Saharan Africa and their promotion by shifting the perspective from a purely individualist to a more contextualized view of women entrepreneurship.