330 Wirtschaft
Refine
Year of publication
- 2022 (135) (remove)
Document Type
- Article (55)
- Working Paper (26)
- Doctoral Thesis (19)
- Part of a Book (10)
- Postprint (8)
- Conference Proceeding (6)
- Monograph/Edited Volume (5)
- Other (2)
- Course Material (1)
- Master's Thesis (1)
Keywords
- Digitalisierung (5)
- COVID-19 (4)
- minimum wage (4)
- performance (4)
- resilience (4)
- Innovation (3)
- digitalization (3)
- experiment (3)
- gender (3)
- mental health (3)
Institute
- Fachgruppe Volkswirtschaftslehre (48)
- Fachgruppe Betriebswirtschaftslehre (43)
- Wirtschaftswissenschaften (34)
- Center for Economic Policy Analysis (CEPA) (19)
- Extern (16)
- Lehreinheit für Wirtschafts-Arbeit-Technik (4)
- Sozialwissenschaften (3)
- Fachgruppe Soziologie (2)
- Wirtschafts- und Sozialwissenschaftliche Fakultät (2)
- Bürgerliches Recht (1)
While estimated numbers of past and future climate migrants are alarming, the growing empirical evidence suggests that the association between adverse climate-related events and migration is not universally positive. This dissertation seeks to advance our understanding of when and how climate migration emerges by analyzing heterogeneous climatic influences on migration in low- and middle-income countries. To this end, it draws on established economic theories of migration, datasets from physical and social sciences, causal inference techniques and approaches from systematic literature review. In three of its five chapters, I estimate causal effects of processes of climate change on inequality and migration in India and Sub-Saharan Africa. By employing interaction terms and by analyzing sub-samples of data, I explore how these relationships differ for various segments of the population. In the remaining two chapters, I present two systematic literature reviews. First, I undertake a comprehensive meta-regression analysis of the econometric climate migration literature to summarize general climate migration patterns and explain the conflicting findings. Second, motivated by the broad range of approaches in the field, I examine the literature from a methodological perspective to provide best practice guidelines for studying climate migration empirically. Overall, the evidence from this dissertation shows that climatic influences on human migration are highly heterogeneous. Whether adverse climate-related impacts materialize in migration depends on the socio-economic characteristics of the individual households, such as wealth, level of education, agricultural dependence or access to adaptation technologies and insurance. For instance, I show that while adverse climatic shocks are generally associated with an increase in migration in rural India, they reduce migration in the agricultural context of Sub-Saharan Africa, where the average wealth levels are much lower so that households largely cannot afford the upfront costs of moving. I find that unlike local climatic shocks which primarily enhance internal migration to cities and hence accelerate urbanization, shocks transmitted via agricultural producer prices increase migration to neighboring countries, likely due to the simultaneous decrease in real income in nearby urban areas. These findings advance our current understanding by showing when and how economic agents respond to climatic events, thus providing explicit contexts and mechanisms of climate change effects on migration in the future. The resulting collection of findings can guide policy interventions to avoid or mitigate any present and future welfare losses from climate change-related migration choices.
Distances affect economic decision-making in numerous situations. The time at which we make a decision about future consumption has an impact on our consumption behavior. The spatial distance to employer, school or university impacts the place where we live and vice versa. The emotional closeness to other individuals influences our willingness to give money to them. This cumulative thesis aims to enrich the literature on the role of distance for economic decision-making. Thereby, each of my research projects sheds light on the impact of one kind of distance for efficient decision-making.
Against the background of the increasingly discussed “Linguistic Saving Hypothesis” (Chen, 2013), I studied whether the targeted use of a present tense (close tense) and a future tense (distant tense) within the same language have an impact on intertemporal decision-making. In a monetarily incentivized laboratory experiment in Germany, I implemented two different treatments on intertemporal choices. The treatments differed in the tense in which I referred to future rewards. My results show that individuals prefer to a greater extent rewards which are associated with a present tense (close tense). This result is in line with my prediction and the first empirical support for the Linguistic Saving Hypothesis within one language. However, this result holds exclusively for males. Females seem to be unaffected by the linguistic manipulation. I discuss my findings in the context of “gender-as-culture” as well as their potential policy-implications.
Food preferences are crucial for diet-related decisions, which substantially impact individual health and global climate. However, the persistence of unfavorable food preferences is a significant obstacle to changing eating behavior.
Here we explored the effects of posthypnotic suggestions (PHS) on food-related decisions by measuring food choices, subjective ratings, and indifference points. In Session 1, demographic data and hypnotic susceptibility of participants were assessed. In Session 2, following hypnosis induction, PHS aiming to increase the desirability of healthy food was delivered.
Afterward, a task set was administrated twice, once when PHS was activated and once deactivated. The order of PHS activation was counterbalanced across participants. The task set included a liking-rating task for 170 pictures of different food items, followed by an online supermarket where participants were instructed to select enough food for a fictitious week of quarantining from the same item pool. After 1 week, Session 3 repeated Session 2 without hypnosis induction in order to assess the persistence of PHS.
The crucial dependent measures were food choices, subjective ratings, and the indifference points as a function of time and PHS condition.
On January 1, 2015, Germany introduced a general statutory minimum wage of €8.50 gross per hour. This thesis analyses the effects of the minimum wage introduction in Germany as well as wage floors in the European context, contributing to national and international research.
The second chapter of this dissertation summarizes the short-run effects of the minimum wage reform found in previous studies.
We show that the introduction of the minimum wage had a positive effect on wages at the bottom of the distribution. Yet, there was still a significant amount of non-compliance shortly after the reform. Additionally, previous evidence points to small negative employment effects mainly driven by a reduction in mini-jobs. Contrary to expectations, though, there were no effects on poverty and general inequality found in the short run. This is mostly due to the fact that working hours were reduced and the increase of hourly wages was therefore not reflected in monthly wages.
The third chapter identifies whether the job losses predicted in ex-ante studies materialized in the short run and, if so, which type of employment was affected the most. To identify the effects, this chapter (as well as chapter four) uses a regional difference-in-difference approach to estimate the effects on regular employment (part- and full-time) and mini-jobs.
Our results suggest that the minimum wage has slightly reduced overall employment, mainly due to a decline in mini-jobs.
The fourth chapter has the same methodological approach as the previous one. Its motivated by the fact that women are often overrepresented among low-wage employees. Thus, the primary research question in this chapter is whether the minimum wage has led to a narrowing of the gender wage gap. In order to answer that, we identify the effects on the wage gap at the 10th and 25th percentiles and at the mean of the underlying gender-specific wage distributions. Our results imply that for eligible employees the gender wage gap at the 10th percentile decreased by 4.6 percentage points between 2014 and 2018 in high-bite regions compared to low-bite regions. We estimate this to be a reduction of 32% compared to 2014. Higher up the distribution – i.e. at the 25th percentile and the mean – the effects are smaller and not as robust.
The fifth chapter keeps the gender-specific emphasis on minimum wage effects. However, in contrast to the rest of the dissertation, it widens the scope to other European Union countries. Following the rationale of the previous chapter, women could potentially benefit particularly from a minimum wage. However, they could also be more prone to suffer from the possibly induced job losses or reductions in working hours. Therefore, this chapter summarizes existing evidence from EU member states dealing with the relationship between wage floors and the gender wage gap. In addition, it provides a systematic summary of studies that examine the impact of minimum wages on employment losses or changes in working hours that particularly affect women. The evidence shows that higher wage floors are often associated with smaller gender wage gaps. With respect to employment, women do not appear to experience greater employment losses than men per se. However, studies show that the minimum wage has a particular impact on part-time workers. Therefore, it cannot be ruled out that the negative correlation between the minimum wage and the gender wage gap is related to the job losses of these lower-paid, often female, part-time workers. This working arrangement should therefore be specially focused on in the context of minimum wages.
In the automotive industry, suppliers from the consumer electronics and high-tech industry are becoming increasingly relevant, for example in the context of automated vehicles. The carmakers’ purchasing organizations need to understand the power constellation in negotiations with these new suppliers, since negotiating power is the greatest lever for influencing the outcome of negotiations. This study analyzes the importance of organizational sources of power and their interplay with the products’ degree of innovation.
In diesem Beitrag möchten wir einen Gedanken des amerikanischen Mathematikers Paul Halmos aufgreifen und konkretisieren. Wir möchten verdeutlichen, dass ökonomisches Denken nicht abstrakt gelehrt, sondern „erfahren“ werden muss, wenn es nachhaltig und in seiner ganzen Breite gefördert werden soll. Dazu dienen kognitiv aktivierende Aufgaben. Was man darunter versteht und welche Funktionen und Qualitätsmerkmale Aufgaben in der ökonomischen Bildung besitzen, verdeutlichen wir in den Abschnitten 1 und 2. Im Praxisteil (Abschnitte 3 bis 8) werden konkrete, unterrichtlich erprobte Beispielaufgaben vorgestellt, mit denen ökonomisches Denken erfolgreich gefördert werden kann. Unser Beitrag schließt mit einer kurzen Skizze wirtschaftsdidaktischer Implikationen (Abschnitt 9).
Was seltener im Fokus steht
(2022)
Assistenzsysteme finden im Kontext der digitalen Transformation immer mehr Einsatz. Sie können Beschäftigte in industriellen Produktionsprozessen sowohl in der Anlern- als auch in der aktiven Arbeitsphase unterstützen. Kompetenzen können so arbeitsplatz- und prozessnah sowie bedarfsorientiert aufgebaut werden. In diesem Beitrag wird der aktuelle Forschungsstand zu den Einsatzmöglichkeiten dieser Assistenzsysteme diskutiert und mit Beispielen illustriert. Es werden unter anderem auch Herausforderungen für den Einsatz aufgezeigt. Am Ende des Beitrags werden Potenziale für die zukünftige Nutzung von AS in industriellen Lernprozessen und für die Forschung identifiziert.
Risky journeys
(2022)
In response to well-documented harms inflicted on irregular migrants attempting to travel from West Africa to Europe, various actors have scaled up information interventions to counter misinformation by smuggling networks and facilitate safe migration decisions. Many interventions include information on the potential dangers involved in migration. However, there is a striking lack of empirical evidence assessing a key assumption of campaign effectiveness, that is the relationship between risk perceptions and the decision to migrate irregularly. This study contributes an empirical account based on two independently collected surveys in Senegal and Guinea. Consistent with rational choice theories on migration decisions under uncertainty, the results suggest that higher risk perceptions are consistently and strongly associated with reduced intentions to migrate irregularly. Yet, the explanatory power of risk perceptions depends on context and is generally less important than structural and socio-economic factors.
Robo advisors represent a digital financial advice solution challenging traditional wealth and asset management, investment advice, retirement planning, and tax-loss harvesting. Based on algorithms, big data analysis, machine learning, and other technologies, these services minimize the necessity for human intervention. Based on an international three-stage Delphi study, we provide a plausible forecast of the development of the robo advisor industry, with regards to market development, competition, drivers of growth, customer segments, challenges, services, technologies, and societal change. The results suggest that the financial advice market will experience a further increase in the number of robo advisor services available. Existing and traditional financial advice players will be forced to adjust to the changing environment of the market. Due to low fees and ease of use, robo advisors will be made available to a broad cross section of society, and will cause significant market losses for traditional investment advice companies. Ten years from now, the predominant investment class will remain Exchange Traded Funds (ETFs). Even though degrees of human intervention are expected to vary considering the complexity of advice, automation will increase in significance when it comes to the development of robo advisors.
Moderne Technologien befähigen die beteiligten Akteure eines Produktionsprozesses die Informationsaufnahme, Entscheidungsfindung und -ausführung selbstständig auszuführen. Hierarchische Kontrollbeziehungen werden aufgelöst und die Entscheidungsfindung auf eine Vielzahl von Akteuren verteilt. Positive Folgen sind unter anderem die Nutzung lokaler Kompetenzen und ein schnelles Handeln vor Ort ohne (zeit-)aufwändige prozessübergreifende Planungsläufe durch eine zentrale Steuerungsinstanz. Die Bewertung der Dezentralität des Prozesses hilft beim Vergleich verschiedener Steuerungsstrategien und trägt so zur Beherrschung komplexerer Produktionsprozesse bei.
Obwohl die Kommunikationsstruktur der an der Entscheidungsfindung beteiligten Akteure zunehmend an Bedeutung gewinnt, existiert keine Methode, welche diese als Grundlage für die Operationalisierung der Dezentralität verwendet. Hier setzt diese Arbeit an. Es wird ein dreistufiges Bewertungsmodell entwickelt, dass die Dezentralität eines Produktionsprozesses auf Basis der Kommunikations- und Entscheidungsstruktur der am Prozess beteiligten, autonomen Akteure ermittelt.
Aufbauend auf einer Definition von Dezentralität von Produktionsprozessen werden Anforderungen an eine Kennzahl erhoben und - auf Basis der Kommunikationsstruktur - eine die strukturelle Autonomie der Akteure bestimmenden Kenngröße der sozialen Netzwerkanalyse ermittelt. Die Notwendigkeit der zusätzlichen Berücksichtigung der Entscheidungsstruktur wird basierend auf der Möglichkeit der Integration von Entscheidungsfindung und -ausführung begründet.
Die Differenzierung beider Faktoren bildet die Grundlage für die Klassifikation der Akteure; die Multiplikation beider Werte resultiert in dem die Autonomie eines Akteurs beschreibenden Kennwert tatsächliche Autonomie, welcher das Ergebnis der ersten Stufe des Modells darstellt. Homogene Akteurswerte charakterisieren eine hohe Dezentralität des Prozessschrittes, welcher Betrachtungsobjekt der zweiten Stufe ist. Durch einen Vergleich der vorhandenen mit der maximal möglichen Dezentralität der Prozessschritte wird auf der dritten Stufe der Autonomie Index ermittelt, welcher die Dezentralität des Prozesses operationalisiert.
Das erstellte Bewertungsmodell wird anhand einer Simulationsstudie im Zentrum Industrie 4.0 validiert. Dafür wird das Modell auf zwei Simulationsexperimente - einmal mit einer zentralen und einmal mit einer dezentralen Steuerung - angewendet und die Ergebnisse verglichen. Zusätzlich wird es auf einen umfangreichen Produktionsprozess aus der Praxis angewendet.
Dieses Kapitel diskutiert die Notwendigkeit einer stärkeren Praxisorientierung für die Schaffung konkreter Lehr- und Lernräume in Unternehmen und zeigt die Vorteile einer Lernfabrik vor dem Hintergrund der stattfindenden Digitalisierung als Mittel zur Kompetenzentwicklung auf. Die technologiebedingt erweiterten Weiterbildungsziele erfordern die Nutzung geeigneter Konzepte und Lösungen. Dahingehend erfolgt die zielorientierte Konkretisierung der Kreation geeigneter Lehr- und Lernsituationen. Die Darstellung der Nutzbarmachung einer Modellfabrik als Lernfabrik der betrieblichen Weiterbildungspraxis zeigt nicht nur eine Lösung für die intendierte Bereitstellung flexibler Lehr- und Lernsituationen, sondern liefert ebenso Handlungsempfehlungen und Best-Practices für die erfolgreiche Kompetenzentwicklung. Insbesondere Praktiker profitieren von der Darstellung der Lernfabrik: aus dieser können sowohl betriebliche Weiterbildner als auch Geschäftsverantwortliche Implikationen für die didaktische Transformation betrieblicher Arbeitsorte in betriebliche Lern-Orte ableiten. Die detaillierte Darstellung einer Tagesschulung zum Thema Auswirkungen von Industrie 4.0 auf die Arbeit der Mitarbeiter sowie Illustration eines Lernszenarios geben reale Einblicke, wie betriebliche Weiterbildung abseits von Lehr-Lern-Kurzschluss-orientierter Didaktik gelingt.
Neuroleadership
(2022)
Wie können notwendige Systemwechsel „gemanaged“ werden, wenn die etablierten Führungsansätze an heutigen Entwicklungen vorbeigehen? Das Buch beschäftigt sich mit dem Ansatz des Neuroleadership, der einen Beitrag leisten kann, Führungskonzepte weiterzuentwickeln.
Dieser neue Ansatz erweitert die bisherigen Konzepte durch die Verknüpfung von Neurosciences, Leadershiptheorie und Systemtheorie. Leadership wird dabei vor allem als beratende und unterstützende Funktion gesehen, für die Kompetenzen im hybriden systemischen Neurocoaching benötigt werden. Ein spezieller Fokus liegt auf den Einflüssen durch Digitalisierung, Intuitive, Künstliche und Web-Intelligenz.
Purpose Paradoxical leadership (PL) is an emerging perspective to understand how leaders help followers deal with paradoxical demands. Recently, the positive relationship between PL and follower performance was established. This paper builds on and extends this research by interpreting PL as sensegiving and developing theory about mediation in the relationship between PL and adaptive and proactive performance. Design/methodology/approach The paper develops a new measure for PL as sensegiving and provides a test of the mediation model with data from two different sources and two measurement times in a German company. Findings Multilevel mediation analysis (N = 154) supports the mediation model. Originality/value The paper presents sensegiving about paradox as a core element of PL, which informs the choice of change-readiness as mediator. This study also develops and validates a scale to measure PL in future research.
Strategic management is the deliberate engagement of an administration with the challenges of fulfilling its mission and ensuring and improving its ability to act by clarifying measures of success, an understanding of how to influence patterns of action, and organiza-tional learning. In this respect, it is not just about planning, but about an understanding of the emerging strategies of the administration in fulfilling its tasks and the use of opportunities for performance improvement, taking into account stakeholder expectations, resource base and organizational capabilities.
This paper investigates whether and how social-psychological mechanisms, namely reciprocity, demographic similarity, and similar experiences, affect CEO compensation packages with respect to the levels of total, fixed, and short- and mid-term compensation and the variable proportion of the compensation package. We use evidence from Germany as it is considered a prototype of a two-tier board system. Given the primary roles of both the CEO and the chair of the supervisory board, we especially highlight social-psychological mechanisms in the process leading to the final compensation package. Using a hand-collected sample of non-financial constituents of the German HDAX, we find that reciprocity can lead to a compensation package that is more favorable for the CEO. Results on similarity are ambivalent such that the effects of similarity on CEO compensation—both positive and negative—may depend on the dimension of similarity. Finally, the chair’s CEO experience, both inside and outside the focal company, also plays an essential role in shaping CEO compensation. More specifically, CEO experience in general is associated with more favorable compensation. However, having a chair that has been CEO at the focal company correlates with less favorable compensation packages except for when the CEO has also been recruited internally.
Das Ziel dieser Arbeit ist die Entwicklung eines Industrie 4.0 Reifegradindex für produzierende Unternehmen (KMU und Mittelstand) mit diskreter Produktion. Die Motivation zu dieser Arbeit entstand aus dem Zögern vieler Unternehmen – insbesondere KMU und Mittelstand – bei der Transformation in Richtung Industrie 4.0. Im Rahmen einer Marktstudie konnte belegt werden, dass 86 Prozent der befragten produzierenden Unternehmen kein für ihr Unternehmen geeignetes Industrie 4.0 Reifegradmodell gefunden haben, mit dem sie ihren Status Quo bewerten und Maßnahmen für einen höheren Grad der Reife ableiten könnten. Die Bewertung bestehender Reifegradmodelle zeigte Defizite hinsichtlich der Industrie 4.0 Abdeckung, der Betrachtung der sozio-technischen Dimensionen Mensch, Technik und Organisation sowie der Betrachtung von Management und Unternehmenskultur. Basierend auf den aktuellen Industrie 4.0 Technologien und Handlungsbereichen wurde ein neues, modular aufgebautes Industrie 4.0 Reifegradmodell entwickelt, das auf einer ganzheitlichen Betrachtung aller sozio-technischen Dimensionen Mensch, Technik und Organisation sowie deren Schnittstellen basiert. Das Modell ermittelt neben dem Overall Industry 4.0 Maturity Index (OI4MI) vier weitere Indizes zur Bewertung der Industrie 4.0 Reife des Unternehmens. Das Modell wurde bei einem Unternehmen validiert und steht nun als Template für darauf aufbauende Forschungsarbeiten zur Verfügung.
The present dissertation conducts empirical research on the relationship between urban life and its economic costs, especially for the environment. On the one hand, existing gaps in research on the influence of population density on air quality are closed and, on the other hand, innovative policy measures in the transport sector are examined that are intended to make metropolitan areas more sustainable. The focus is on air pollution, congestion and traffic accidents, which are important for general welfare issues and represent significant cost factors for urban life. They affect a significant proportion of the world's population. While 55% of the world's people already lived in cities in 2018, this share is expected to reach approximately 68% by 2050.
The four self-contained chapters of this thesis can be divided into two sections: Chapters 2 and 3 provide new causal insights into the complex interplay between urban structures and air pollution. Chapters 4 and 5 then examine policy measures to promote non-motorised transport and their influence on air quality as well as congestion and traffic accidents.
This paper analyzes the effect of new bicycle lanes on traffic volume, congestion, and accidents. Crucially, the new bike lanes replace existing car lanes thereby reducing available space for motorized traffic. In order to obtain causal estimates, I exploit the quasi-random timing and location of the newly built cycle lanes. Using an event study design, a two-way fixed effects model and the synthetic control group method on geo-coded data, I show that the construction of pop-up bike lanes significantly reduced average car speed by 8 to 12 percentage points (p.p.) and up to 16 p.p. in peak traffic hours. In contrast, the results for car volume are modest, while the data does not allow for a conclusive judgment of accidents.
Despite digital learning disrupting traditional learning concepts and activities in higher education, for the successful integration of digital learning, the use and acceptance of the students are essential. This acceptance depends in turn on students’ characteristics and dispositions, among other factors. In our study, we investigated the influence of digital competences, self-organization, and independent learning abilities on students’ acceptance of digital learning and the influence of their acceptance on the resistance to the change from face-to-face to digital learning. To do so, we surveyed 350 students and analyzed the impact of the different dispositions using ordinary least squares regression analysis. We could confirm a significant positive influence of all the tested dispositions on the acceptance of digital learning. With the results, we can contribute to further investigating the underlying factors that can lead to more positive student perceptions of digital learning and build a foundation for future strategies of implementing digital learning into higher education successfully.
Long-term value creation is expected not only to be concerned with maximizing shareholder value but also includes the impact on other stakeholders and the environment. Environmental, social, and governance (ESG) issues are therefore gaining increasing importance, in line with the growing demand for corporate sustainability. ESG ratings foster the comparison of companies with respect to their sustainable practices. This study aims to investigate how ESG ratings impact financial performance in the European food industry. Ordinary least squares regression is applied to analyze the relation between ESG ratings and financial performance over a 4-year period from 2017 to 2020. The profitability measures Return on Assets (ROA) and Return on Equity (ROE) are employed as financial performance measures, while ESG ratings are obtained from the database CSRHub. Results show that higher ESG ratings are associated with better financial performance. Although the effect is modest in the present study, the findings support previous results that ESG ratings are positively related to financial performance. Nonetheless, they also highlight that ESG ratings strongly converge to the mean, which depicts the need to reassess whether ESG ratings are able to measure actual ESG behavior.
Long-term value creation is expected not only to be concerned with maximizing shareholder value but also includes the impact on other stakeholders and the environment. Environmental, social, and governance (ESG) issues are therefore gaining increasing importance, in line with the growing demand for corporate sustainability. ESG ratings foster the comparison of companies with respect to their sustainable practices. This study aims to investigate how ESG ratings impact financial performance in the European food industry. Ordinary least squares regression is applied to analyze the relation between ESG ratings and financial performance over a 4-year period from 2017 to 2020. The profitability measures Return on Assets (ROA) and Return on Equity (ROE) are employed as financial performance measures, while ESG ratings are obtained from the database CSRHub. Results show that higher ESG ratings are associated with better financial performance. Although the effect is modest in the present study, the findings support previous results that ESG ratings are positively related to financial performance. Nonetheless, they also highlight that ESG ratings strongly converge to the mean, which depicts the need to reassess whether ESG ratings are able to measure actual ESG behavior.
Many prediction tasks can be done based on users’ trace data. This paper explores divergent and convergent thinking as person-related attributes and predicts them based on features gathered in an online course. We use the logfile data of a short Moodle course, combined with an image test (IMT), the Alternate Uses Task (AUT), the Remote Associates Test (RAT), and creative self-efficacy (CSE). Our results show that originality and elaboration metrics can be predicted with an accuracy of ~.7 in cross-validation, whereby predicting fluency and RAT scores perform worst. CSE items can be predicted with an accuracy of ~.45. The best performing model is a Random Forest Tree, where the features were reduced using a Linear Discriminant Analysis in advance. The promising results can help to adjust online courses to the learners’ needs based on their creative performances.
The detection of auto-fluorescence in phytogenic, hydrated amorphous silica depositions (phytoliths) has been found to be a promising approach to verify if phytoliths were burnt or not, especially in archaeological contexts. However, it is unknown so far at what temperature and how auto-fluorescence is induced in phytoliths. We used fluorescence microscopy, scanning electron microscope-energy dispersive X-ray spectroscopy (SEM-EDX), and Fourier transform infrared spectroscopy to analyze auto-fluorescence in modern phytoliths extracted from plant samples or in intact leaves of winter wheat. Leaves and extracted phytoliths were heated at different temperatures up to 600 degrees C. The aims of our experiments were i) to find out what temperature is needed to induce auto-fluorescence in phytoliths, ii) to detect temperature-dependent changes in the molecular structure of phytoliths related to auto-fluorescence, and iii) to derive a mechanistic understanding of auto-fluorescence in phytoliths. We found organic compounds associated with phytoliths to cause auto-fluorescence in phytoliths treated at temperatures below approx. 400 degrees C. In phytoliths treated at higher temperatures, i.e., 450 and 600 degrees C, phytolith auto-fluorescence was mainly caused by molecular changes of phytolith silica. Based on our results we propose that auto-fluorescence in phytoliths is caused by clusterization-triggered emissions, which are caused by overlapping electron clouds forming non-conventional chromophores. In phytoliths heated at temperatures above about 400 degrees C dihydroxylation and the formation of siloxanes result in oxygen clusters that serve as non-conventional chromophores in fluorescence events. Furthermore, SEM-EDX analyses revealed that extractable phytoliths were dominated by lumen phytoliths (62%) compared to cell wall phytoliths (38%). Our findings might be not only relevant in archaeological phytolith-based examinations, but also for studies on the temperature-dependent release of silicon from phytoliths and the potential of long-term carbon sequestration in phytoliths.
'Tools' in public management
(2022)
Tools are methods or procedures, and thus operational patterns of action, applied in public administrations to solve standard problems. It is also possible to consider them as structured communication according to professional standards aiming at complexity reduction. Regularly, tools in management stem on a deductive-synoptic rationale offering a seemingly ‘objective’ decision basis. They have a strong formative influence on the organization, regularly also beyond the intended effects. The prominence of tools is sometimes confused with management as such, e.g. introducing tools is mistaken as equivalent to managing for a particular purpose. However, tools have to be closely and carefully managed regarding the objectives and purposes they should serve.
Research on multi-level implementation of EU legislation has almost exclusively focused on the national level, while little is known about the role of subnational authorities. Nevertheless, it is a prerequisite for the functioning of the European Union that all member states and their subnational authorities apply and enforce EU legislation in due time. I address this research gap and take a closer look at the legal transposition process in the German regional states. Using a novel data set comprising detailed information on about 700 subnational measures, I show that state-level variables, such as political preferences and ministerial resources, account for variation in the timing of legal transposition and repeatedly lead to subnational delay. To conclude, the paper addresses the role of subnational authorities in the EU multi-level system and points to their interest in shaping legal transposition in order to counterbalance their loss of competences to the national level.
We collect a network dataset of tenured economics faculty in Austria, Germany and Switzerland. We rank the 100 institutions included with a minimum violation ranking. This ranking is positively and significantly correlated with the Times Higher Education ranking of economics institutions. According to the network ranking, individuals on average go down about 23 ranks from their doctoral institution to their employing institution. While the share of females in our dataset is only 15%, we do not observe a significant gender hiring gap (a difference in rank changes between male and female faculty). We conduct a robustness check with the Handelsblatt and the Times Higher Education ranking. According to these rankings, individuals on average go down only about two ranks. We do not observe a significant gender hiring gap using these two rankings (although the dataset underlying this analysis is small and these estimates are likely to be noisy). Finally, we discuss the limitations of the network ranking in our context.
Despite the importance of negotiations in companies and their contribution to strategic corporate planning, researchers have not yet focused on assessing the development of negotiations in the future. To broaden the field of futures research in negotiations and to provide empirical guidance about strategic business decisions to negotiators and managers, this work exploratively investigates the future of negotiations. The impact of trends on negotiations and negotiation behavior, as well as the development of future negotiation scenarios are therefore examined. Moreover, the preparation of negotiators for the future is analyzed and how effective negotiation teaching can be designed to improve negotiation performance.
Essays in labor economics
(2022)
This thesis offers insights into the process of workers decisions to invest into work-related training. Specifically, the role of personality traits and attitudes is analysed. The aim is to understand whether such traits contribute to an under-investment into training. Importantly, general and specific training are distinguished, where the worker’s productivity increases in many firms in the former and only in the current firm in the latter case. Additionally, this thesis contributes to the evaluation of the German minimum wage introduction in 2015, identifying causal effects on wages and working hours.
Chapters two to four focus on the work-related training decision. First, individuals with an internal locus of control see a direct link between their own actions and their labor market success, while external individuals connect their outcomes to fate, luck, and other people. Consequently, it can be expected that internal individuals expect higher returns to training and are, thus, more willing to participate. The results reflect this hypothesis with internal individuals being more likely to participate in general (but not specific) training. Second, training can be viewed either as a risky investment or as an insurance against negative labor income shocks. In both cases, risk attitudes are expected to play a role in the decision process. The data point towards risk seeking individuals being more likely to participate in general (but not specific) training, and thus, training being viewed on average as a risky investment. Third, job satisfaction influences behavioral decisions in the job context, where dissatisfied workers may react by neglecting their duties, improving the situation or quitting the job. In the first case, dissatisfied workers are expected to invest less in training, while the latter two reactions could lead to higher participation rates amongst dissatisfied workers. The results suggest that on average dissatisfied workers are less likely to invest into training than satisfied workers. However, closer inspections of quit intentions and different sources of dissatisfaction paint less clear pictures, pointing towards the complexity of the job satisfaction construct.
Chapters five and six evaluate the introduction of the minimum wage in Germany in 2015. First, in 2015 an increase in the growth of hourly wages can be identified as a causal effect of the minimum wage introduction. However, at the same time, a reduction in the weekly working hours results in an overall unchanged growth in monthly earnings. When considering the effects in 2016, the decrease in weekly working hours disappears, resulting in a significant increase in the growth of monthly earnings due to the minimum wage. Importantly, the analysis suggests that the increase in hourly wages was not sufficient to ensure all workers receiving the minimum wage. This points to non-compliance being an issue in the first years after the minimum wage introduction.
Job satisfaction has been found to impact behavioral choices at the workplace. Since levels of satisfaction are not guaranteed to remain high, understanding the consequences of job dissatisfaction is essential. Hence, I analyze the relationship between a worker’s job satisfaction and her training investments. Based on my theoretical model, I expect a U-shaped relationship if dissatisfied workers attempt to improve the situation or plan to quit. In contrast, there is an overall positive relationship if dissatisfied workers neglect their duties. Using logit regressions with the Household, Income and Labour Dynamics in Australia (HILDA) survey I find tentative evidence that there is on average an overall positive relationship with a 1 standard deviation increase in job satisfaction being associated with a 1.5% increased likelihood of participating in training. A closer inspection of the reasons for training as well as quit intentions reveals some hints of a U-shaped relationship. My results highlight the importance of considering the source of dissatisfaction as there are heterogeneous effects along different job satisfaction facets.
Gruppierung von Daten
(2022)
Dieser Beitrag beinhaltet einen Vergleich zwischen den Methoden der Topologischen Datenanalyse (TDA) und statistischen Clusterverfahren bei der Gruppierung von Daten. Es werden Gemeinsamkeiten und Unterschiede bei der Bildung der Cluster und Zuordnung der statistischen Einheiten identifiziert. Hierzu werden zwei empirische Datensätze aus der Biologie und Medizin herangezogen.
Zusammengefasst haben sich die Verfahren der TDA als ein praktikables Werkzeug bei der Gruppierung von Objekten erwiesen. Vor allem mit dem Mapper-Algorithmus konnten adäquate Cluster erkannt werden. Beim Iris Flower-Datensatz hat die TDA ähnliche Ergebnisse wie die Clusteranalyse erzielt. Der Heart Disease-Datensatz war schwieriger zu behandeln. Die genutzten clusteranalytischen Verfahren waren nicht geeignet, die beiden Gruppen von Patienten korrekt zu identifizieren. Im Vergleich zu den Standardverfahren der Clusteranalyse zeigte sich eine leichte Überlegenheit der topologischen Verfahren.
We examine the relationship between different types of power investments and regional economic dynamics. We construct a novel panel dataset combining data on regional GDP and power capacity additions for different technologies between 1960 and 2015, which covers 65% of the global power capacity that has been installed in this period. We use an event study design to identify the effect of power capacity addition on GDP per capita, exploiting the fact that the exact amount of power capacity coming online each year is determined by random construction delays. We find evidence that GDP per capita increases by 0.2% in the 6 years around the coming online of 100 MW coal-fired power capacity. We find similar effects for hydropower capacity, but not for any other type of power capacity. The positive effects are regionally bounded and stronger for projects on new sites (green-field). The magnitude of this effect might not be comparable to the total external costs of building new coal-fired power capacity, yet our results help to explain why policymakers favor coal investments for spurring regional growth.
Research into the effects of social media on well-being often distinguishes “active” and “passive” use, with passive use supposedly more harmful to well-being (i.e., the passive use hypothesis). Recently, several studies and reviews have begun to question this hypothesis and its conceptual basis, the active/passive dichotomy. As this dichotomy has become a staple of social media research but evidence challenging its validity is mounting, a comprehensive debate on its pros, cons, and potential future is needed. This adversarial review brings together two voices – one more supportive, and the other more critical – toward the active/passive model. In constructive dialogue, we summarize and contrast our two opposing positions: The first position argues that the active/passive dichotomy is a useful framework because it adequately describes how and why passive use is (more) harmful for well-being. The second position challenges the validity of the dichotomy and the passive use hypothesis specifically. Arguments are presented alongside (a) the empirical basis, (b) conceptualization, and (c) operationalization of active and passive use, with particular focus on the passive use hypothesis. Rather than offering a conciliatory summary of the status quo, the goal of this review is to carve out key points of friction in the literature on the effects of social media through fruitful debate. We summarize our main agreements and unresolved disagreements on the merits and shortcomings of the active/passive dichotomy. In doing so, this review paves the way for researchers to decide whether and how they want to continue applying this lens in their future work.
On Track to Success?
(2022)
Many countries consider expanding vocational curricula in secondary education to boost skills and labour market outcomes among non-university-bound students. However, critics fear this could divert other students from more profitable academic education. We study labour market returns to vocational education in England, where until recently students chose between a vocational track, an academic track and quitting education at age 16. Identification is challenging because self-selection is strong and because students’ next-best alternatives are unknown. Against this back- drop, we leverage multiple instrumental variables to estimate margin-specific treatment effects, i.e., causal returns to vocational education for students at the margin with academic education and, separately, for students at the margin with quitting education. Identification comes from variation in distance to the nearest vocational provider conditional on distance to the nearest academic provider (and vice-versa), while controlling for granular student, school and neighbourhood characteristics. The analysis is based on population-wide administrative education data linked to tax records. We find that the vast majority of marginal vocational students are indifferent be- tween vocational and academic education. For them, vocational enrolment substantially decreases earnings at age 30. This earnings penalty grows with age and is due to wages, not employment. However, consistent with comparative advantage, the penalty is smaller for students with higher revealed preferences for the vocational track. For the few students at the margin with no further education, we find merely tentative evidence of increased employment and earnings from vocational enrolment.
Do internships pay off?
(2022)
We study the causal effect of student internship experience in firms on earnings later in life. We use mandatory firm internships at German universities as an instrument for doing a firm internship while attending university. Employing longitudinal data from graduate surveys, we find positive and significant earnings returns of about 6 percent in both ordinary least squares (OLS) and instrumental variables (IV) regressions. The positive returns are particularly pronounced for individuals and areas of study that are characterized by a weak labor market orientation. The empirical findings show that graduates who completed a firm internship face a lower risk of unemployment during the first year of their careers, suggesting a smoother transition to the labor market.
Childhood obesity is one of the most serious public health challenges of the twenty-first century. While small-scale experiments change behaviors among adults in the short run, we know little about the effectiveness of large-scale policies or the longer-run impacts. To nudge primary school children into a long-term habit of exercising, the German state of Saxony distributed sports club membership vouchers among all 33,000 third graders in 2009. In 2018, we carried out a register-based survey to evaluate the policy. Even after a decade, awareness of the voucher program was significantly higher in the treatment group. We also find that youth received and redeemed the vouchers. However, we do not find significant short- or long-term effects on sports club membership, physical activity, overweightness, or motor skills. Apparently, membership vouchers for children are not a strong enough policy tool to overcome barriers to exercise regularly.
Beyond CO2 equivalence
(2022)
In this article we review the physical and chemical properties of methane (CH4) relevant to impacts on climate, ecosystems, and air pollution, and examine the extent to which this is reflected in climate and air pollution governance. Although CH4 is governed under the UNFCCC climate regime, its treatment there is limited to the ways in which it acts as a "CO2 equivalent" climate forcer on a 100-year time frame. The UNFCCC framework neglects the impacts that CH4 has on near-term climate, as well its impacts on human health and ecosystems, which are primarily mediated by methane's role as a precursor to tropospheric ozone. Frameworks for air quality governance generally address tropospheric ozone as a pollutant, but do not regulate CH4 itself. Methane's climate and air quality impacts, together with its alarming rise in atmospheric concentrations in recent years, make it clear that mitigation of CH4 emissions needs to be accelerated globally. We examine challenges and opportunities for further progress on CH4 mitigation within the international governance landscapes for climate change and air pollution.
States, in their conflicts with militant groups embedded in civilian populations, often resort to policies of collective punishment to erode civilian support for the militants. We attempt to evaluate the efficacy of such policies in the context of the Gaza Strip, where Israel's blockade and military interventions, purportedly intended to erode support for Hamas, have inflicted hardship on the civilian population.
We combine Palestinian public opinion data, Palestinian labor force surveys, and Palestinian fatalities data, to understand the relationship between exposure to Israeli policies and Palestinian support for militant factions.
Our baseline strategy is a difference-in-differences specification that compares the gap in public opinion between the Gaza Strip and the West Bank during periods of intense punishment with the gap during periods when punishment is eased. Consistent with previous research, we find that Palestinian fatalities are associated with Palestinian support for more militant political factions. The effect is short-lived, however, dissipating after merely one quarter.
Moreover, the blockade of Gaza itself appears to be only weakly associated with support for militant factions. Overall, we find little evidence to suggest that Israeli security policies toward the Gaza Strip have any substantial lasting effect on Gazan support for militant factions, neither deterring nor provoking them relative to their West Bank counterparts.
Our findings therefore call into question the logic of Israel's continued security policies toward Gaza, while prompting a wider re-examination of the efficacy of deterrence strategies in other asymmetric conflicts.
Visual Social Networking Sites (SNSs) enable users to present themselves favorably to gain likes and the attention of others. Especially, Instagram is known for its focus on beauty, fitness, fashion, and dietary topics. Although a large body of research reports negative weight-related outcomes of SNS usage (e.g., body dissatisfaction, body image concerns), studies examining how SNS usage relates to these outcomes are scarce. Based on the visual normalization theory, we argue that SNS content facilitates normalization of so-called thin- and fit-ideals, thereby leading to biased perceptions of the average body weight in society. Therefore, this study tests whether Instagram use is associated with perceiving that the average person weighs less. Responses of 181 survey participants confirm that Instagram use is negatively related to average weight perception of both women and men. These findings contribute to the growing body of research on how SNS use relates to negative weight-related outcomes.
This cumulative doctoral thesis consists of three empirical studies that examine the role of top-level executives in shaping adverse financial reporting outcomes and other forms of corporate misconduct. The first study examines CEO effects on a wide range of offenses. Using data from enforcement actions by more than 50 U.S. federal agencies, regression re-sults show CEO effects on the likelihood, frequency, and severity of corporate misconduct. The findings hold for financial, labor-related, and environmental offenses; however, CEO effects are more pronounced for non-financial misconduct. Further results show a positive relation between CEO ability and non-financial misconduct, but no relation with financial misconduct, suggesting that higher CEO ability can have adverse consequences for employee welfare and society and public health. The second study focuses on CEO and CFO effects on financial misreporting. Using data on restatements and public enforcement actions, regression results show that the incremental effect of CFOs is economically larger than that of CEOs. This greater economic impact of CFOs is particularly pronounced for fraudulent misreporting. The findings remain consistent across different samples, methods, misreporting measures, and specification choices for the underlying conceptual mechanism, highlighting the important role of the CFO as a key player in the beyond-GAAP setting. The third study reexamines the relation between equity incentives and different reporting outcomes. The literature review reveals large variation in the empirical measures for firm size as standard control variable, equity incentives as key explanatory variables, and the reporting outcome of interest. Regres-sion results show that these design choices have a direct bearing on empirical results, with changes in t-statistics that often exceed typical thresholds for statistical significance. The find-ings hold for aggressive accrual management, earnings management through discretionary accruals, and material misstatements, suggesting that common design choices can have a large impact on whether equity incentives effects are considered significant or not.
COVID-19 has demonstrated the importance of data for scientific policy advice. Mechanisms by which data is generated, shared, and ultimately lead to policy responses are crucial for enhancing transparency and legitimacy of decisions. At the same time, the volume, complexity and volatility of data are growing. Against this background, mechanisms, actors, and problems of data-driven scientific policy advice are analysed. The study reveals role conflicts, ambiguities, and tensions in the interaction between scientific advisors and policy-makers. The assumption of a technocratic model, promoted by well-established structures and functioning processes of data-driven government, cannot be confirmed. Reality largely corresponds to the pragmatic model, in parts also the decisionist model, albeit with dysfunctional characteristics.
In Germany, the productivity of professional services, a sector dominated by SME, declined by 40 percent between 1995 and 2014. Similar developments can be observed in several other European economies. Using a German dataset with 700,000 firm-level observations, we analyze this largely undiscovered phenomenon in professional services, the fourth largest sector of the business economy in the EU-15, which provides important inputs to the economy and has experienced substantial growth in both output and employment since the turn of the millennium. We find that changes in the value chain explain about half of the decline and that increases in part-time employment account for another small part. Contrary to expectations, the entry of micro and small firms is not responsible for the decline, despite their lower productivity levels. Further, we cannot confirm the conjecture that weakening competition has led to an increase in the number of unproductive firms remaining in the markets and that this has led to a lower average productivity.
Does personality matter? Is an individual who is open to experience more or less likely to become an entrepreneur? Is it better to score low or high in agreeableness for surviving as an entrepreneur? To the extent that personality captures one part of entrepreneurial abilities, which are usually unobservable, the analysis of traits and personality characteristics helps better understanding such abilities. This chapter reviews research on the relationship between personality and entrepreneurship since 2000 and shows that possessing certain personality characteristics will make it more likely that an individual will start an own business and hire staff. More specifically, with respect to the entry decision, research finds that nearly all so-called Big Five factors as well as several specific personality characteristics influence the entry probability into entrepreneurship. Further, entrepreneurs are more likely to hire, the higher they score in risk tolerance, trust, openness to experience, and conscientiousness. However, different factors such as low scores in agreeableness, the only Big Factor that does not affect entrepreneurial entry, influence entrepreneurial survival. And for some of characteristics that influence entrepreneurial entry, like high scores in the factor openness for experience or in risk tolerance, “revolving door effects” are found, explaining why some entrepreneurs subsequently exit again the market.