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How do far-right actors and issues structure public debates and become mainstream over time? Previous research has shown that far-right actors are central actors in political conflicts in Western Europe, partly due to their dominance in struggles on cultural issues. The entrenchment of the far right substantially depends on their networks and public visibility. However, we still lack a long-term understanding of public debates about far-right actors and their discursive interconnections across issues. In this paper, we deliver the first longitudinal analysis of the evolution and structure of far-right discourse networks and the diffusion of far-right ideas in public debates since the 1990s. Methodologically, this paper innovates by combining discourse network analysis with automated text analysis to investigate how the relations between far-right actors and issues are represented in mass media. We analyze more than 500,000 newspaper articles in six different mass media outlets in Germany. The results show that far-right actors have gained more public visibility since the 1990s. The study demonstrates that the mass media debates have introduced and amplified cultural issues "owned" by the far right. Far-right discourse networks in mass media have grown, discursive interactions have intensified and discourse networks have become more centralized. Our results indicate that the discursive mainstreaming of the far right evolved in the context of the "refugee crisis" in 2015, and was linked to the AfD's institutional access. Overall, the study aids in developing a better understanding of the success of the far right and the crucial role of public debates. [ABSTRACT FROM AUTHOR]

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In Germany, there are over 32,000 schools, representing great potential for climate protection. On the one hand, this applies to educational work, as understanding the effects of climate change and measures to reduce GHG emissions is an important step to empower students with knowledge and skills. On the other hand, school buildings are often in bad condition, energy is wasted, and the possibilities for using renewable energies are hardly used. In our "Schools4Future" project, we enabled students and teachers to draw up their own CO2 balances, identify weaknesses in the building, detect wasted electricity, and determine the potential for using renewable energies. Emissions from the school cafeteria, school trips, and paper consumption could also be identified. The fact that the data can be collected by the students themselves provides increased awareness of the contribution made to the climate balance by the various school areas. The most climate-friendly school emits 297 kg whilst the school with the highest emissions emits over one ton CO2 per student and year. Our approach is suitable to qualify students in the sense of citizen science, carry out a scientific investigation, experience self-efficacy through one's own actions, and engage politically regarding their concerns. [ABSTRACT FROM AUTHOR]

The notion of 'place' has become a central concern in research on the populist radical right (PRR), but scholars seem to have different things in mind when talking about how geography affects individual political attitudes. In our paper, we therefore aim to structure the debate on the impact of place and to understand exactly how place affects PRR attitudes (nativism, right-wing authoritarianism, and populism). Conceptually, we identify four potentially relevant aspects of 'place' that underpin much of the current literature: place-related attitudes (localism and resentment), place-specific living conditions, socio-demographic composition, and characteristics unique to a particular place, i.e., its local history and culture. We also discuss how these aspects are related and how they may interact. Empirically, we assess the relative importance of these four aspects of place for PRR sentiment in Germany, a country that is particularly well suited to this type of analysis. Using fine-grained geocoded survey data collected prior to the 2017 election, we find that (1) there is considerable spatial variation and clustering in PRR attitudes, (2) a place's socio-demographic composition and (3) place resentment account for much of this, while (4) localism has weaker effects. We find (5) no relevant interaction between localism and place resentment, (6) no substantial evidence that mediation through place-related attitudes leads to an underestimation of the other aspects, and (7) no evidence for effects of the unique culture or history of the places we studied. Moreover, (8) location in the former GDR still has a substantial impact, whereas (9) other place-specific conditions (deprivation, demographic decline, migration, rurality) that could be addressed by policy interventions have no or rather weak effects. We conclude that PRR sentiment in 'places that don't matter' results also, though by no means exclusively, from a lack of recognition. [ABSTRACT FROM AUTHOR]

This paper describes the technical specifications of the extensions made to the middle-atmospheric lidar facility at the Leibniz Institute of Atmospheric Physics in Kühlungsborn, Germany (54.12° N, 11.77° E). The upgrade complements the existing daylight-capable Rayleigh–Mie–Raman (RMR) temperature lidar with a nighttime-only RMR wind–temperature lidar. The new system comprises an independent lidar with laser, telescopes, and detectors, which is synchronized with and adapted to the (old) temperature lidar. As a result, with the combination of RMR lidars the atmosphere is probed with three (vertical and tilted) beams. This work intends to highlight the recent innovations in the construction of a Doppler–Rayleigh lidar system using the single-edge iodine-cell technique, which allows for the simultaneous measurement of wind, temperature, and aerosols. We will detail supporting subsystems that allow for a high degree of lidar automation and concisely provide key technical information about the system that will support readers in the development of additional RMR wind–temperature lidar systems. We show an example of time-resolved temperature and wind soundings reaching up to ∼ 90 km. These data agree well with ECMWF-IFS profiles between 35 and ∼ 50 km but show a much larger variability above. In the companion article, we will present the algorithm design and uncertainty budgets associated with the data processing chain. [ABSTRACT FROM AUTHOR]

Copyright of WISTA Wirtschaft und Statistik is the property of Statistisches Bundesamt and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper studies the effect of air pollution on voting outcomes. We use data from 60 federal and state elections in Germany from 2000 to 2018 and exploit plausibly exogenous fluctuations in ambient air pollution within counties across election dates. Higher air pollution on election day shifts votes away from incumbent parties and toward opposition parties. An increase in the concentration of particulate matter (PM10) by 10 g/m3--around two within-county SDs--reduces the vote share of incumbent parties by two percentage points, which is equivalent to 4% of the mean vote share. We generalize these findings by documenting similar effects with data from a weekly opinion poll and a large-scale panel survey. We provide further evidence that poor air quality leads to more negative emotions such as anger, worry, and unhappiness, which, in turn, may reduce the support for the political status quo. Overall, these results suggest that poor air quality affects decision-making in the population at large, including consequential political decisions. [ABSTRACT FROM AUTHOR]

With the world population growth, energy consumption and the rapid development of industrial economy, a large amount of carbon emissions has brought destruction and threats to the earth's environment on which human beings depend. The development of low-carbon economy has become the consensus of governments all over the world and has been vigorously advocated & promoted. This paper focuses on the top five global GDP nations in 2022: The United States, China, Japan, Germany, and Britain. A comprehensive evaluation index system of urban low-carbon economic development level is constructed from four dimensions: economic development level, environmental quality, energy consumption emission intensity and social development speed by using literature review and field interview. The evaluation measures are determined using the TOPSIS evaluation method with entropy weight and the grey relational model, providing a comprehensive assessment of the low-carbon economy's development level in these five countries." Judging from the comprehensive evaluation score, the overall development of low-carbon economy in American cities is in good condition and has reached the development standard of low-carbon economy; Germany and Japan rank second and third, and they are low-carbon economies. Britain ranks fourth in comprehensive evaluation, although it belongs to a low-carbon economy country, but there is still a certain gap with Germany and Japan; There is still a big gap between China and the other four countries. Based on the measurement and evaluation outcomes, it presents recommendations and strategies to foster the growth of low-carbon economies, offering valuable insights for the advancement of such economies across different nations. The research results guide countries all over the world to reduce carbon emissions in the process of economic development, protect the earth environment on which human beings depend, and make a better tomorrow for sustainable development. [ABSTRACT FROM AUTHOR]

Background: Establishing successful lactation in mothers of very low birth weight (VLBW, <1500g) infants requires structured lactation support. Little is known about mothers' perspectives on lactation support in German neonatal intensive care units (NICUs). Methods: This paper features a convergent mixed-method approach that includes a retrospective, cross-sectional questionnaire and interview data to showcase mothers' perceptions of lactation support in NICUs. Content analysis of the interviews (n = 12) and a descriptive analysis of quantitative data (n = 533) were performed to illustrate the current status and need for lactation support in German NICUs. Results: The results show that lactation support in German NICUs is often inadequate and does not comply with recommendations based on the existing literature to encourage pumping and breastfeeding in mothers. The data imply that even if lactation is successfully initiated in most cases, it is often not maintained over time, which may be due to a lack of personal support and consistent information. Conclusion: The overall structures and institutional guidelines for lactation support should be encouraged to promote nutrition with mother´s own milk in German NICUs. [ABSTRACT FROM AUTHOR]

In contemporary times, the utilization of liquid organic hydrogen carriers (LOHCs) has gained prominence due to their high volumetric storage density and material properties closely resembling conventional fuels. Numerous countries are incorporating LOHCs in hydrogen demonstration initiatives, encompassing applications such as hydrogen refueling stations, hydrogen-powered ships, and trains. This paper conducts a comprehensive review of seventeen LOHC projects, spanning Germany, Europe, and other nations, presenting detailed project specifications. This review includes information on project consortiums, funding sources, covered supply chains, transport modalities, and employed technologies. Through a global evaluation of LOHC projects, this review underscores the promising and competitive nature of LOHCs as a viable option for the large-scale and long-distance storage and transportation of hydrogen. The future development of this field is discussed at in the last section. [ABSTRACT FROM AUTHOR]

Climate movements have gained momentum in recent years, aiming to create public awareness of the consequences of climate change through salient climate protests. This paper investigates whether concerns about climate change increase following demonstrative protests and confrontational acts of civil disobedience. Leveraging individual-level survey panel data from Germany, we exploit exogenous variations in the timing of climate protests relative to survey interview dates to compare climate change concerns in the days before and after a protest (N = 24,535). Following climate protests, we find increases in concerns about climate change by, on average, 1.2 percentage points. Further, we find no statistically significant evidence that concerns of any subpopulation decreased after climate protests. Lastly, the increase in concerns following protests is highest when concern levels before the protests are low. Climate movements aim to raise public awareness of climate change through protests, but their efficacy is debated. Here, the authors show that concerns about climate change increased in Germany after climate strikes and non-violent acts of civil disobedience. [ABSTRACT FROM AUTHOR]

Annual maxima of daily precipitation sums can be typically described well with a stationary generalized extreme value (GEV) distribution. In many regions of the world, such a description does also work well for monthly maxima for a given month of the year. However, the description of seasonal and interannual variations requires the use of non-stationary models. Therefore, in this paper we propose a non-stationary modeling strategy applied to long time series from rain gauges in Germany. Seasonal variations in the GEV parameters are modeled with a series of harmonic functions and interannual variations with higher-order orthogonal polynomials. By including interactions between the terms, we allow for the seasonal cycle to change with time. Frequently, the shape parameter ξ of the GEV is estimated as a constant value also in otherwise instationary models. Here, we allow for seasonal–interannual variations and find that this is beneficial. A suitable model for each time series is selected with a stepwise forward regression method using the Bayesian information criterion (BIC). A cross-validated verification with the quantile skill score (QSS) and its decomposition reveals a performance gain of seasonally–interannually varying return levels with respect to a model allowing for seasonal variations only. Some evidence can be found that the impact of climate change on extreme precipitation in Germany can be detected, whereas changes are regionally very different. In general, an increase in return levels is more prevalent than a decrease. The median of the extreme precipitation distribution (2-year return level) generally increases during spring and autumn and is shifted to later times in the year; heavy precipitation (100-year return level) rises mainly in summer and occurs earlier in the year. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to analyze the effect the liberalization of industrial relations in Germany has had on trade unions' influence on companies' decisions. Particular attention is given to European measures of flexibilizing company law and how they affect industrial relations in Germany. Design/methodology/approach: After presenting a theoretical basis regarding industrial relations and corporate governance, the paper then demonstrates, via a case study, the effects of the flexible European company law. It examines the strategic avoidance of trade union activity at SAP, a case that ended up before the European Court of Justice. Findings: The flexibility of European company law allows companies to limit the influence of trade unions on company decisions. Limiting trade unions' internal participation weakens their position overall. Precautionary measures to protect employees' rights help to reduce the dangers of this process. Originality/value: The influence of European law brings a new perspective to the transformation of the German industrial relations model. The analysis of the strategy of using the legal type of the European company (Societas Europaea) to limit the internal activity of trade unions demonstrates the connection between institutional settings and corporate governance. [ABSTRACT FROM AUTHOR]

In 2020, anti-Asian racism re-emerged during the coronavirus pandemic in Germany and elsewhere, manifesting in media narratives, and evoking different forms of violence and exclusion, especially in public space. Racialisation as an everyday process creates "counter-frames" by racialised groups. They are constructed in relation to institutionalised interpellation as "the other." Building on Feagin's concept of "white framing" and "counter-framing" and Löw's concept of space, this paper discusses the effects of racialisation, coping and anti-racist resistance strategies as developed by the Asian diaspora. Social change regarding racism will be analysed through Foroutan's concept of "postmigrant society." We based this study on a convenience sample of people with Asian heritage which we conducted in 2020 in Germany. In addition, we included a diary study for which a subset has been sampled. We argue that the pandemic influenced the formation of counter-frames against anti-Asian racism in the specific context of Berlin. [ABSTRACT FROM AUTHOR]

Design-Based Research (DBR) has emerged as a widely accepted methodological framework in educational research worldwide, as it is a sustainable research paradigm for overcoming the frequently observed gap between research and educational practice (Reinmann, 2022; Tinoca et al., 2022). I use The Rights of the Child and the School Subject of Religious Education (CRE4RE) project as an illustrative example of DBR's potential to help close the theory-practice gap in the area of children's rights education (CRE) in religious education (RE). To do so, I link classroom research and lesson design. The first part of the paper provides an overview of the three interdependent project phases, which are based on the three steps of the research process model by McKenney and Reeves (2019). In the second part, I transfer a teaching module into practice to demonstrate how children's rights perspectives can be successfully integrated into RE. Finally, I identify project-specific opportunities and challenges in the use of the DBR approach to point out further design-based research perspectives, which favor a sustainable practical transfer of the double theory-practice output. I transferred a prototyped learning module into RE and tested and empirically evaluated it in a sample of N = 88 children and found substantial differences in the empathy scale's mean values, which also differed by gender. The article shows how a DBR approach can be used to integrate CRE into RE, thereby also highlighting the forward-looking significance of the research paradigm for RE and for the interlinking of teaching research and lesson design. [ABSTRACT FROM AUTHOR]

Copyright of Lernen und Lernstörungen is the property of Hogrefe AG and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Purpose: The world of work is constantly changing. The COVID-19 pandemic has reinforced working from home, and there is an increasing demand for flexibility regarding the workplace. There is little empirical evidence on the mechanisms and factors that influence employee outcomes, such as productivity and turnover intention, at the workplace and at home. In addition, it is unclear whether the workplace characteristics that influence employee outcomes vary between different nations due to country-specific circumstances. The paper aims to address these two issues. Design/methodology/approach: The research model applied in this study is based on the job demands-resources (JD-R) and environmental demands-resources models using German (n = 429) and USA (n = 507) survey samples. Partial least squares structural equation modelling is used to analyse the influence of workplace characteristics (isolation, family–work interference, equipment/facilities and skill variety) on employee outcomes (satisfaction, burnout, productivity and turnover intention). Additionally, a multi-group analysis is used to explore group differences in the factors influencing satisfaction, burnout, productivity and turnover intention between employees in Germany and the USA. Findings: The results reveal that significant determinants of productivity and turnover intention include isolation, family–work interference, equipment/facilities and skill variety. Isolation and equipment/facilities are identified as the most important demands and resources of the home workplace. Some significant differences are found between Germany and the USA. The positive effect of isolation on burnout is significantly stronger in the USA than in Germany, whereas the positive effect of family–work inference on burnout is stronger in Germany than in the USA. The negative effects visible for the relations between burnout and satisfaction, and satisfaction and turnover intention are stronger in Germany than in the USA. The positive effect of burnout on turnover intention is stronger in the USA compared to Germany. Originality/value: The study adds empirical evidence to the JD-R theory by analysing the influence of the home workplace characteristics on employee outcomes in different countries for the first time using a multi-group analysis. In addition, the study reveals new insights into the differences between the knowledge workforces in Germany and the USA by uncovering how key factors influence employee outcomes such as productivity and turnover intention, partially carried by varying length of experience in work from home between both of these countries. Insights from this study can support corporate real estate managers to make better decisions on the design of employees' home workplaces and the integration of work from home into the company's workspace concept. [ABSTRACT FROM AUTHOR]

The paper departs from the observation that the role of migrant organisations (MOs) in Germany has changed significantly since the strong influx of refugees in 2015/16. As a result of this specific historical situation, it seems that MOs were able to strengthen their position as important civil society and integration policy actors and reduce reservations about them. While there has been growing attention on MOs' civic and social contributions, both in public and academic debates, this article also highlights the risks of failure and inflated expectations and the often rather fragile structures of MOs. Thus, the article aims to broaden the view on MOs by focusing on aspects which have been neglected in the course of recent public and academic interest and rather optimistic perceptions. The methodological approach is one of "embedded research": the author has been a senior executive of one of the largest German MOs for six years and, at the same time, a migration researcher for many years. From this special inside/outside view, an ambivalent picture emerges: despite a significantly greater appreciation of the achievements of MOs and much verbal recognition, there is a clear lack of the necessary material/structural support, jeopardising the sustainability and viability of many MOs. [ABSTRACT FROM AUTHOR]

The paper shows that visions of the future can be used as a predictor of cooperation and division between actors in their efforts to shape the institutional environment, specifically policy in socio‐technical systems. Accordingly, the paper suggests a new method to analyze visions: a virtual solution space in which visions can be grouped according to their similarity. The similarity of visions is calculated based on cluster analysis. Empirically, the paper focuses on the networks between industry associations in the heating transition in the German building sector. It shows that actors whose visions of future socio‐technical system developments overlap are more likely to cooperate with each other. It also suggests that the fragmentation of the residential heating system in Germany is reflected in a fragmented actor network. Furthermore, the authors show that shared technological interests can outweigh similar visions. These fragmented technological interests hinder meaningful cooperation. This is potentially one reason why a powerful low‐carbon heating coalition in Germany that could facilitate an accelerated deployment of low‐carbon heat systems by driving policy change has not emerged to date. The paper contributes to a better understanding of how niche actors in sustainability transitions use their agency and specifically strategize to bring about institutional change. In this respect, the authors discuss how differing levels of system‐fragmentation influence transition dynamics in general and institutional change dynamics in particular. [ABSTRACT FROM AUTHOR]

The context for this paper is a shift in the way citizens engage in democratic processes which has received increasing attention in the literature. Building on previously conducted research, this paper contributes to the conceptualisation of citizenship activities in terms of young people below the voting age from rural communities. Based on reviewing current research, seven emerging contexts that can assist with exploring young people's citizenship activities are proposed, namely unofficial, individual, glocal, sporadic, online, issues-based, and justice-oriented. These contexts were translated into a framework which is introduced and explored in this paper. To explore this framework, focus groups (n = 26) and a qualitative questionnaire (n = 106) were conducted with young people aged 13–16 from a secondary school in Germany. The proposed framework extends previous conceptualisations of emerging citizenship contexts by looking beyond citizen types and taxonomies to explore the spaces, modes, goals, and the frequency of participants' citizenship activities. Results indicate that the proposed framework was useful in exploring multiple emerging citizenship contexts. Focus group and questionnaire participants were particularly engaged in glocal, unofficial, sporadic, and issues-based contexts and to a lower degree in individual, online, and justice-oriented contexts. A key challenge is achieving conceptual clarity around the seven contexts. [ABSTRACT FROM AUTHOR]

In times of economic crisis, academics, policy-makers, and pundits often debate the correct level and best use of government debt. This paper argues structural political and economic factors grant core economies more fiscal space than peripheral economies. While the federal governments of the US, Germany, and other core economies may easily issue and sell debt in private markets, smaller economies, both municipalities within countries, and countries in the global periphery, are more vulnerable to demand fluctuations. All economies may benefit from explicit commitments by monetary authorities to resume their historic roles as governments' banks, especially during crises. By highlighting present political constraints, monetary structures, and market factors that may inhibit governments' successful placement of bonds, this paper deepens present debate about the potential feasibility of functional finance to facilitate fiscal activity, even in unprecedented times. [ABSTRACT FROM AUTHOR]

Several northern European countries have announced ambitious plans to become carbon neutral already before the year 2050. Recent research has, however, highlighted how potential bottlenecks in raw material and resource availability could significantly delay or hinder wind and solar photovoltaic (PV) expansion and continued biomass usage in parts of Europe. To address this issue, this paper assesses how exposed the national energy and climate plans (NECPs) of Finland, Estonia, Germany, Sweden, and Denmark are to resource limitations and techno-economic risks by reviewing and analysing 2030 NECP targets compared to statistical energy use data in these countries. The results indicate that the NECPs of Denmark and Germany are particularly exposed to risks related to global raw material availability, as Denmark plans to rapidly grow the share of wind and solar PV in electricity generation to 81% and 13% by 2030, respectively, followed by Germany, which outlines a 39% and 16% share of wind and solar PV in its national climate strategy. The NECPs of Finland and Germany are also shown to be vulnerable to limitations in biomass availability, as there is a significant disparity between the projected biomass usage and legally binding European Union (EU) targets for land use, land use change, and forestry (LULUCF) sector emissions in 2030 in these countries. [ABSTRACT FROM AUTHOR]

SARS-CoV-2 serology may be helpful to retrospectively understand infection dynamics in specific settings including kindergartens. We assessed SARS-CoV-2 seroprevalence in individuals connected to kindergartens in Berlin, Germany in September 2021. Children, staff, and household members from 12 randomly selected kindergartens were interviewed on COVID-19 history and sociodemographic parameters. Blood samples were collected on filter paper. SARS-CoV-2 anti-S and anti-N antibodies were assessed using Roche Elecsys. We assessed seroprevalence and the proportion of so far unrecognized SARS-CoV-2 infections. We included 277 participants, comprising 48 (17.3%) kindergarten children, 37 (13.4%) staff, and 192 (69.3%) household members. SARS-CoV-2 antibodies were present in 65.0%, and 52.7% of all participants were vaccinated. Evidence of previous infection was observed in 16.7% of kindergarten children, 16.2% of staff, and 10.4% of household members. Undiagnosed infections were observed in 12.5%, 5.4%, and 3.6%, respectively. Preceding infections were associated with facemask neglect. In conclusion, two-thirds of our cohort were SARS-CoV-2 seroreactive in September 2021, largely as a result of vaccination in adults. Kindergarten children showed the highest proportion of non-vaccine-induced seropositivity and an increased proportion of previously unrecognized SARS-CoV-2 infection. Silent infections in pre-school children need to be considered when interpreting SARS-CoV-2 infections in the kindergarten context. [ABSTRACT FROM AUTHOR]

Japan and Germany are both facing a rapidly aging population and have similar social insurance-based long-term care systems. However, there are significant differences in utilization and costs. This paper presents a microeconomic decision model validated by regression analysis, Blinder-Oaxaca decomposition, and Data Envelopment Analysis to contrast the utilization patterns in the Japanese and German long-term care sectors. The design of the welfare programs for low-income families has been identified as one of the main reasons. In Germany, the welfare system leads to a demand curve for nursing home care that is comparable to that of an inferior good which makes external long-term care in nursing homes the more attractive, the poorer the respective households are. In addition, the resulting inelastic demand of the population groups in need of social benefits seem to reduces competition among Germany's long-term care providers, which is associated with a loss of efficiency in how they use production factors. In Japan, this negative outcome is avoided by a comfort segmentation in the nursing home market. [ABSTRACT FROM AUTHOR]

Background: Germany's medical specialist shortage is an acute challenge, especially in the rehabilitation segment. One countermeasure is to recruit foreign trained physicians (FTP), but the high turnover of FTP is a burden on the departments that train them and integrate them professionally. Preliminary research showed that currently one in three physician positions in German Pension Insurance (DRV) contract facilities is filled by FTP.This paper examines factors related to turnover intention of FTP in German rehabilitative departments. Methodology: In spring 2022, we surveyed FTP across all inpatient and outpatient rehabilitation departments under the German Pension Insurance, using a two-stage cross-sectional approach. We conducted an online survey of FTP and developed a specialized questionnaire that captured sociodemographic, occupation related and professional biographical data, turnover intention, satisfaction, difficulties with professional integration and departmental structural characteristics. To analyze retention within the rehabilitation field, we used a measure of turnover intention, taking into account the direction of potential turnover, residency requirements and considerations of returning to the rehabilitation field. The data was evaluated in a subgroup analysis comparing FTP with and without turnover intention using Fisher's exact tests. Results: The sample includes n = 145 FTP, 119 stating no turnover intention and 27 with turnover intention. More than half of FTP with turnover intention wished to move to an acute care hospital. FTP with turnover intention are comparatively younger and came to Germany and were employed in the rehabilitation departments more recently, indicating an earlier career stage. Besides, career-related and regional factors show the strongest relation to turnover intention. Discussion and conclusion: The results reveal a group of "established FTP" whose professional integration has been successfully completed. FTP with turnover intention are comparatively younger, career-oriented physicians for whom work in a rehabilitative facility is a career springboard to gain a foothold in acute care clinics. A limitation is that FTP with turnover intention are difficult to reach and may be underrepresented in our sample. [ABSTRACT FROM AUTHOR]

Status or relative concerns (as in the idiom 'keeping up with the Joneses') can lead to negative feelings such as stress and anxiety. One key question is whether these concerns relate to daily smoking behaviour. The conjecture is that status concerns and the accompanying stress and anxiety might be associated with a higher likelihood of smoking and a higher number of cigarettes smoked, generating a higher instant physical reward and reducing the stress and anxiety. The literature aiming to identify this relationship focuses mostly on a single cross section of individuals, ignoring potential differences in unobserved characteristics of smokers and non-smokers (e.g., genetic factors, personality differences, parental smoking during childhood). This paper investigates the role of unobserved individual characteristics on this relationship, which has not been done in previous studies. Using a long panel data of smoking information in Germany and a variety of panel data model specifications, we show that there is no statistically significant association between relative income concerns and the likelihood of smoking or the number of cigarettes smoked among the overall population. We find a positive and significant relationship only among people who smoked at least one cigarette in the past. A 10% appreciation in the income of comparable other individuals relates to about 3.5 more cigarettes per month among these people. Importantly, failing to allow for the unobserved influences of smoking leads to three times larger estimates than when using models with unobserved factors correlating to the income and smoking behaviour. The results are robust with respect to alternative assumptions and specifications where we use different functional forms of unobserved heterogeneity, definitions of relative concerns, incomes, and reference groups. [ABSTRACT FROM AUTHOR]

Background: Germany has the highest per capita health care spending among EU member states, but its hospitals face pressure to generate profits independently due to the government's withdrawal of investment cost coverage. The diagnosis related groups (DRG) payment system was implemented to address the cost issue, challenging hospital physicians to provide services within predefined prices and an economic target corridor to reduce costs. This study examines the extent of cost awareness among medical personnel in German hospitals and its influencing factors. Methods: We developed an online survey in which participants across all specialties in hospitals estimated the prices in euros of four common interventions and answered questions about their human capital and perceived stress on the workplace. As a measure of cost awareness, we used the probability of estimating the prices correctly within a reasonable margin. We employed logit logistic regression estimators to identify influencing factors in a sample of 86 participants. Results: The results revealed that most of the respondents were unaware of the costs of common interventions. General human capital, acquired through prior education, and job-specific human capital had no influence on cost awareness, whereas domain-specific human capital, that is, gaining economic knowledge based on self-interest, had a positive nonlinear effect on cost awareness. Furthermore, an increased stress level negatively influenced cost awareness. Conclusions: This paper is the first of its kind for the German health care sector that contributes responses to the question whether health care professionals in German hospitals have cost awareness and if not, what reasons lie behind this lack of knowledge. Our findings show that the cost awareness desired by the introduction of the DRG system has yet to be achieved by medical personnel. [ABSTRACT FROM AUTHOR]

Background: Germany has the highest per capita health care spending among EU member states, but its hospitals face pressure to generate profits independently due to the government's withdrawal of investment cost coverage. The diagnosis related groups (DRG) payment system was implemented to address the cost issue, challenging hospital physicians to provide services within predefined prices and an economic target corridor to reduce costs. This study examines the extent of cost awareness among medical personnel in German hospitals and its influencing factors. Methods: We developed an online survey in which participants across all specialties in hospitals estimated the prices in euros of four common interventions and answered questions about their human capital and perceived stress on the workplace. As a measure of cost awareness, we used the probability of estimating the prices correctly within a reasonable margin. We employed logit logistic regression estimators to identify influencing factors in a sample of 86 participants. Results: The results revealed that most of the respondents were unaware of the costs of common interventions. General human capital, acquired through prior education, and job-specific human capital had no influence on cost awareness, whereas domain-specific human capital, that is, gaining economic knowledge based on self-interest, had a positive nonlinear effect on cost awareness. Furthermore, an increased stress level negatively influenced cost awareness. Conclusions: This paper is the first of its kind for the German health care sector that contributes responses to the question whether health care professionals in German hospitals have cost awareness and if not, what reasons lie behind this lack of knowledge. Our findings show that the cost awareness desired by the introduction of the DRG system has yet to be achieved by medical personnel. [ABSTRACT FROM AUTHOR]

In contemporary society, childhood is characterized as mediatized and commercialized. Media consumption worlds (MCWs) are a phenomenon that mirrors both aspects. They are narratives that are presented through various media platforms, games, and merchandising products. In this paper, the concept of children's MCWs is developed theoretically and investigated empirically using the case of primary school children's appropriation of MCWs as well as parental mediation and attitude in Austria and Germany. A mixed-methods design was applied, starting with qualitative interviews with children and their parents and followed by an online survey for parents (N=327). The study revealed that children find individual ways to deal with MCWs, some of which foster creativity and self-expression but also consumerism. The parents' attitude is ambivalent. They view MCWs as beneficial in terms of creativity, positive values, and as peer group experience. However, parents observe critically that MCWs lure children to the media and to consumption. [ABSTRACT FROM AUTHOR]

Beginning in the mid-1980s, European governments have increasingly implemented performance-based funding systems for higher education. While a focus on the transnational pressures that contributed to the widespread adoption of performance-based funding in Europe accounts for the impetus for performance-based funding policies, it fails to address how and why the resultant performance-based funding policies are as distinct and different as they are. In this paper, I argue that an institutional logics perspective offers a theoretical account of the performance-based funding policy formation process. I use the United Kingdom (UK), Germany, and France as case studies. I contend that in these three cases, different local logics drove the performance-based funding policy formation process. [ABSTRACT FROM AUTHOR]

In this paper, an experimental and numerical investigation of the effect of leading-edge erosion in transonic blades was performed. The measurements were carried out on a linear blade cascade in the Transonic Cascade Wind Tunnel of DLR in Cologne at two operating points with an inflow Mach number of 1.05 and 1.12. The numerical simulations were performed by ANSYS Germany. The type and specifications of the erosion for the study were derived from real engine blades and applied to the leading edges of the experimental cascade blades using a waterjet process, as well as modeled in detail and meshed within the numerical setup. Numerical simulations and extensive wake measurements were carried out on the cascades to evaluate the aerodynamic performance. The increase in losses was quantified to be 4 percent, and a reduction in deflection and a rise in pressure were detected at both operating points. [ABSTRACT FROM AUTHOR]

This paper introduces a novel nothing-on-road (NOR) bridge weigh-in-motion (BWIM) approach with deep learning (DL) and non-invasive ground-based radar (GBR) time-series data. BWIMs allow site-specific structural health monitoring (SHM) but are usually difficult to attach and maintain. GBR measures the bridge deflection contactless. In this study, GBR and an unmanned aerial vehicle (UAV) monitor a two-span bridge in Germany to gather ground-truth data. Based on the UAV data, we determine vehicle type, lane, locus, speed, axle count, and axle spacing for single-presence vehicle crossings. Since displacement is a global response, using peak detection like conventional strain-based BWIMs is challenging. Therefore, we investigate data-driven machine learning approaches to extract the vehicle configurations directly from the displacement data. Despite a small and imbalanced real-world dataset, the proposed approaches classify, e.g., the axle count for trucks with a balanced accuracy of 76.7% satisfyingly. Additionally, we demonstrate that, for the selected bridge, high-frequency vibrations can coincide with axles crossing the junction between the street and the bridge. We evaluate whether filtering approaches via bandpass filtering or wavelet transform can be exploited for axle count and axle spacing identification. Overall, we can show that GBR is a serious contender for BWIM systems. [ABSTRACT FROM AUTHOR]

In recent years, research on carbon dioxide removal (CDR) has significantly increased. Numerous studies have analyzed demonstration projects, outlined scenarios, modeled pathways, or focused on CDR's national or international governance. However, regional case studies investigating the dynamics that may facilitate or impede the broader adoption of CDR methods in spatially explicit settings are critically absent. Understanding implementation contexts on the ground is vital, and comparing them across different removal methods is essential for effectively scaling up CDR. This paper aims to address this research gap by comparatively examining the development of biomass-based CDR in three regions of Germany. Taking an exploratory approach, we conducted surveys in these regions to gain insight into stakeholder perceptions of the following six CDR methods: forest management, agriculture and soil carbon, long-lasting building materials, rewetting of peatlands and paludiculture, biochar, and bioenergy with carbon capture and storage. In this article, we present the results of the stakeholder survey, which offers multiple perspectives that can shape future studies of regional implementation and yield policy-relevant guidance. Although our research primarily focuses on the regional level in Germany, it sheds light on various conflicts, uncertainties, and potentials that are likely to be relevant for the rollout of CDR in other countries. By examining these aspects, we contribute to the broader discourse on CDR and its potential implementation. [ABSTRACT FROM AUTHOR]

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Pursued by authorities throughout the 1930s, Heinrich Habitz left behind a significant paper trail of official documentation, arrest warrants and imprisonment records. As Germany slipped further under National Socialist oppression, Habitz's status as a homosexual man who sold sex marked him as a target of police repression. Even after the end of the war, the Hamburg Prosecutor's Office attempted to locate and again prosecute him under the infamous §175 'sodomy law'. By rights, the study of Habitz should provide insights into the continuities of anti-queer repression between authoritarianism and democracy, but for one key point: 'Heinrich Habitz' existed only as a paper identity in official bureaucracy, and the 'man' authorities repeatedly persecuted was, in fact, a self-identified woman named 'Liddy Bacroff'. Through a series of semi-autobiographical writings, alongside official paperwork, Liddy Bacroff presents the value of but also the difficulties facing the (re)construction of queer and, in particular, transgender (pre)histories. In this instance, the historian is not just faced with the problem of how this life, and others like it, should be represented in historiographical terms. We are left also with the question of how this victim of National Socialist barbarity should (or rather, can) be remembered: as the paper identity that provided a succession of carceral authorities with the justification to persecute and ultimately murder a cisgender gay man, or as the lived experience of a woman whose unique self-understanding allowed her to carve out her place in a society that otherwise relegated her to its margins. [ABSTRACT FROM AUTHOR]

The increase in international migration and the global number of students learning mathematics through a language other than their home language makes migrants' educational pathways a particularly urgent issue. The current paper focuses on the German context as Germany is currently one of the major immigration countries in the Western context. Because German is widely perceived as the language of opportunity for migrants in the German school system, it is overwhelmingly the selected language of learning and teaching in the broader school system and within migrant classes. The article is based on qualitative interviews with mathematics teachers teaching migrant classes; and the data analysis followed the Grounded theory tradition. The central phenomenon that seemed to preoccupy all teachers was how to adapt mathematics teaching to the language- and mathematics-related diversity of their students while simultaneously helping them to transfer smoothly to the mainstream classes or pass the final examinations successfully. Due to the lack of institutional support for teaching in migrant classes and problems in dealing with multilingualism and mathematics-related diversity in mathematics lessons, they were generally frustrated with the situation despite being strongly motivated at first. Using three examples from the data, we illustrate teachers' strategies in relation to multilingualism and mathematics-related diversity. Overall, the study points to the necessity of supporting teachers in their mathematical practices in migrant classes to contribute to more inclusive mathematics education. [ABSTRACT FROM AUTHOR]

This paper presents the preliminary results of an investigation on the unexplored topic of polychromy on provincial stone sculptures from the Roman provinces in Germania through the innovative application of heritage materials science techniques. A group of three life-sized statues dating to the 1st Century CE recovered from Ingelheim, near Mainz, retains remarkably well-preserved traces of pigments. These are ripe for emerging non-invasive technologies supplemented by micro-sampling to validate results and provide information relating to mixing and layering not available to the naked eye. The most strikingly visible areas of extant polychromy were retained on the sculpture of a young woman, reported on here as the first phase of this programme of research. The results suggest that the statue was originally covered in a gypsum layer before the application of complex and diverse recipes of pigment applied as mixtures and in layers to create required hues and shadowing on sculpted features. The palette includes ochres and green earth mixed with small amounts of minium (red lead), realgar and lapis lazuli (ultramarine blue) added to create skin tones, and a vibrant blue-green tunic created from Egyptian blue, bone black, ochres, cinnabar and green earth; the palla and peplos contained ochres, bone black, and orpiment, and mixes of these created the detail of coloured jewellery. Of great interest was the detection of bone black on many features, particularly as a shading agent to enhance sculpted features, such as folds in cloth, providing a more realistic and flowing articulation. This is a revolutionary observation that provides previously unexplored insights into artistic polychromic practice in Antiquity. [ABSTRACT FROM AUTHOR]

Women are underrepresented in many areas of journalistic newsrooms. In this paper, we examine if this established effect persists in the new forms of journalistic communication, namely social media networks. We use mentions, retweets, and hashtags as measures of journalistic amplification and legitimation. Furthermore, we compare two groups of journalists in different stages of development: political and data journalists in Germany in 2021. Our results show that journalists identified as women tend to favor other women journalists in mentions and retweets on Twitter (now called X), compared to men. While both professions are dominated by men, with a high share of tweets authored by men, women mention and retweet other women more than their male colleagues. Female data journalists also leverage different sources than men. In addition, we found data journalists to be more inclusive of non-member sources in their networks compared to political journalists. [ABSTRACT FROM AUTHOR]

The paper asks for the contribution of growth models for the explanation of public sector employment relations in Germany. The paper is subdivided into three parts. The first elaborates on long-term developments as well as forms of employment. The second part analyzes wage setting systems, that is, bilateral collective bargaining for employees and unilateral decision-making for civil servants. The third part compares the empirical outcomes of both sub-systems with the assumptions of growth models and distinguished explicitly various concepts of the state as corporate actor. [ABSTRACT FROM AUTHOR]

The quantification of emissions of greenhouse gases and air pollutants through the inversion of plumes in satellite images remains a complex problem that current methods can only assess with significant uncertainties. The anticipated launch of the CO2M (Copernicus Anthropogenic Carbon Dioxide Monitoring) satellite constellation in 2026 is expected to provide high-resolution images of CO2 (carbon dioxide) column-averaged mole fractions (XCO2), opening up new possibilities. However, the inversion of future CO2 plumes from CO2M will encounter various obstacles. A challenge is the low CO2 plume signal-to-noise ratio due to the variability in the background and instrumental errors in satellite measurements. Moreover, uncertainties in the transport and dispersion processes further complicate the inversion task. To address these challenges, deep learning techniques, such as neural networks, offer promising solutions for retrieving emissions from plumes in XCO2 images. Deep learning models can be trained to identify emissions from plume dynamics simulated using a transport model. It then becomes possible to extract relevant information from new plumes and predict their emissions. In this paper, we develop a strategy employing convolutional neural networks (CNNs) to estimate the emission fluxes from a plume in a pseudo- XCO2 image. Our dataset used to train and test such methods includes pseudo-images based on simulations of hourly XCO2 , NO2 (nitrogen dioxide), and wind fields near various power plants in eastern Germany, tracing plumes from anthropogenic and biogenic sources. CNN models are trained to predict emissions from three power plants that exhibit diverse characteristics. The power plants used to assess the deep learning model's performance are not used to train the model. We find that the CNN model outperforms state-of-the-art plume inversion approaches, achieving highly accurate results with an absolute error about half of that of the cross-sectional flux method and an absolute relative error of ∼ 20 % when only the XCO2 and wind fields are used as inputs. Furthermore, we show that our estimations are only slightly affected by the absence of NO2 fields or a detection mechanism as additional information. Finally, interpretability techniques applied to our models confirm that the CNN automatically learns to identify the XCO2 plume and to assess emissions from the plume concentrations. These promising results suggest a high potential of CNNs in estimating local CO2 emissions from satellite images. [ABSTRACT FROM AUTHOR]

Copyright of Raumforschung und Raumordnung is the property of Oekom Verlag GmbH and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Aims: To investigate factors that influence the willingness of inactive nurses to return to nursing in a crisis situation and to identify aspects that need to be considered with regard to a possible deployment. Design: A deductive and inductive qualitative content analysis of semi-structured focus group interviews. Methods: Semi-structured focus group interviews with inactive or marginally employed nurses, nurses who have been inactive for some time and nursing home managers in October and November 2021. The participating inactive nurses had declared their willingness for a deployment during the COVID-19 pandemic or not. Data were analysed using qualitative content analysis. Results: Communication was seen as essential by the participants for an informed decision for or against a temporary return to nursing and to potential or actual deployments. To make them feel safe, inactive nurses need to know what to expect and what is expected of them, for example, regarding required training and responsibilities. Considering their current employment status, some flexibility in terms of deployment conditions is needed. A remaining attachment to care can trigger a sense of duty. Knowledge of (regular) working conditions in nursing can lead to both a desire to support former colleagues and a refusal to be exposed to these conditions again. Conclusion: Past working experiences and the current employment situation play a major role in the willingness of inactive nurses to return to nursing in a crisis situation. Unbureaucratic arrangements must be provided for those who are willing to return. Summary Statement: • What already is known - In crisis situations, not every inactive nurse is willing or able to return to nursing and therefore, the 'silent reserve' may not be as large as suspected. • What this paper adds - Inactive nurses need to know what to expect and what is expected of them for their decision regarding a return to active patient care during a crisis situation. • Implications for practice/policy -- Inactive nurses need to be informed and should be offered free training and refresher courses to ensure patient safety. Impact: This research shows that the group of inactive nurses are not a silent workforce which can be activated anytime. Those who are able and willing to return to direct patient care in crisis situations need the best possible support -- during and between crises. Reporting Method: This study adhered to COREQ guidelines. No Patient or Public Contribution: The involvement of patients or members of the public did not apply for the study, as the aim was to gain insight into the motivations and attitudes of the group of inactive nurses. [ABSTRACT FROM AUTHOR]

The energy sector faces a pressing need for significant transformation to curb CO2 emissions. For instance, Czechia and Germany have taken steps to phase out fossil thermal power plants by 2038, opting instead for a greater reliance on variable renewable energy sources like wind and solar power. Nonetheless, thermal power plants will still have roles, too. While the conventional multistage axial turbine design has been predominant in large-scale power plants for the past century, it is unsuitable for small-scale decentralized projects due to complexity and cost. To address this, the study investigates less common turbine types, which were discarded as they demonstrated lower efficiency. One design is the Elektra turbine, characterized by its velocity compounded radial re-entry configuration. The Elektra turbine combines the advantages of volumetric expanders (the low rotational speed requirement) with the advantages of a turbine (no rubbing seals, no lubrication in the working fluid, wear is almost completely avoided). Thus, the research goal of the authors is the implementation of a 10 kW-class ORC turbine driving a cost-effective off-the-shelf 3000 rpm generator. The paper introduces the concept of the Elektra turbine in comparison to other turbines and proposes this approach for an ORC working fluid. In the second part, the 1D design and 3D–CFD optimization of the 7 kW Elektra turbine working with Hexamethyldisiloxane (MM) is performed. Finally, CFD efficiency characteristics of various versions of the Elektra are presented and critically discussed regarding the originally defined design approach. The unsteady CFD calculation of the final Elektra version showed 46% total-to-static isentropic efficiency. [ABSTRACT FROM AUTHOR]

This paper examines the current and prospective greenhouse gas (GHG) emissions of e-fuels produced via electrolysis and Fischer–Tropsch synthesis (FTS) for the years 2021, 2030, and 2050 for use in Germany. The GHG emissions are determined by a scenario approach as a combination of a literature-based top-down and bottom-up approach. Considered process steps are the provision of feedstocks, electrolysis (via solid oxide co-electrolysis; SOEC), synthesis (via Fischer–Tropsch synthesis; FTS), e-crude refining, eventual transport to, and use in Germany. The results indicate that the current GHG emissions for e-fuel production in the exemplary export countries Saudi Arabia and Chile are above those of conventional fuels. Scenarios for the production in Germany lead to current GHG emissions of 2.78–3.47 kgCO2-eq/L e-fuel in 2021 as the reference year and 0.064–0.082 kgCO2-eq/L e-fuel in 2050. With a share of 58–96%, according to the respective scenario, the electrolysis is the main determinant of the GHG emissions in the production process. The use of additional renewable energy during the production process in combination with direct air capture (DAC) are the main leverages to reduce GHG emissions. [ABSTRACT FROM AUTHOR]

Background: Learning arrangements in health care profession education are increasingly taking place in digital environments. Virtual reality (VR) in nursing education, as a digital element, is the subject of controversial debate. On one hand, it supports the authenticity of case studies by adding realistic perspectives and information. On the other hand, the costs of developing and maintaining software and hardware hinder its long-term implementation. Based in the German context, our aim is to promote the adoption of innovative digital methods in nursing education and to offer invaluable experiences from the field. Methods: In this paper, we describe our findings and insights from two different research projects focused on the incorporation of digital tools, particularly VR, into nursing education. Results: Starting with a brief recapitulation of the projects, we elucidate pedagogical strategies for embedding VR-driven scenarios in nursing education. Based on our experiences during the projects, we identify various positive aspects, such as changing perspective and simulating acute situations. Key findings: Although potential drawbacks remain, we advocate the long-term implementation and specific use of VR at the interface between theory and practice. Nevertheless, it is crucial to establish regular evaluation, observing the value of digitalisation, especially VR, for nursing education. [ABSTRACT FROM AUTHOR]

Electric vehicles (EVs) are expected to be vital in transitioning to a low-carbon energy system. However, integrating EVs into the power grid poses significant challenges for grid operators and energy suppliers, especially regarding the uncertainty and variability of EV charging demand. Accurate forecasting of EV charging demand is essential for optimal power system integration, yet previous studies have often only considered point predictions that are inadequate for risk assessment. Therefore, this paper compares different probabilistic forecasting models for the short-term prediction of EV charging demand at various aggregation levels, using a large and novel dataset of over 350,000 charging processes at more than 500 locations across Germany. The performance of both machine learning and deep learning methods is evaluated against a naïve benchmark model, and the impact of data availability on the forecasting models is investigated. Further, the paper examines the effects of forecast accuracy on energy procurement, which has so far received minor attention in the literature. The results show that machine learning methods such as Ada Boosting and Random Forest yield robust results with a normalized root mean square error of 0.42 and 0.41 and a mean absolute scaled error of 0.36 and 0.34 at the highest aggregation level. Furthermore, the results show the influence of different site compositions on the forecast quality and how many charging points are likely to yield a robust forecast. Energy and fleet managers can use the described method to reliably predict the required energy quantities for fleets of sufficient size and procure them at low risk. [ABSTRACT FROM AUTHOR]

In light of ongoing debates about racially motivated police violence, this paper examines two separate but interrelated phenomena: instances of police discrimination and mistrust in police and the judicial system among ethnic minorities in Germany. Analyses are carried out based on waves 1, 3, and 5 of the CILS4EU-DE data collected among 14 to 20 year-old respondents in Germany. The focus of the paper lies on young men from the Middle East, as well as Northern and Sub-Saharan Africa, who--as our study demonstrates--tend to disproportionally more often report discrimination experiences and particularly low levels of trust in police and courts compared to other ethnic minorities and the majority populations in Germany, and partially also in comparison to their female counterparts. We also show that more frequent experiences of police discrimination are associated with greater distrust of the police and partially also with courts among young men from the Middle East, North and Sub-Saharan Africa. Female adolescents from similar backgrounds are also more distrustful of the police, but this is not explained by their own experiences of police discrimination. [ABSTRACT FROM AUTHOR]

Germany's excessive current account surpluses mirror domestic problems. They are rooted in inequality and a weak home market, creating an overdependence on exports. Why, then, are policymakers so reluctant to reduce them? This paper argues that a contributing factor is the public misrepresentation of surpluses' domestic costs. Imbalances are narrated as distributional conflicts between countries, not within them; and bilateral trade is framed as a competition, where surplus countries win. The analysis reconstructs stakeholders' positions and discursive strategies through media narratives and Bundestag debates, using an original dataset of public statements. It finds evidence for a systematic bias disregarding the domestic losers of surpluses. Whenever imbalances are discussed, the triggering event is outside criticism, mainly from the European Commission and the US. The ensuing debate follows an 'us versus them' logic, where foreign critics clash with domestic defenders—mainly the government and export-sector organisations. The success narrative and identitarian discourse about an 'export nation' limits left-wing actors' room to move beyond incremental criticism. The analysis finds an effect of European integration exacerbating imbalances. Germans fend off critics by an arena-shifting strategy: pointing out that exchange rates and trade are European-level prerogatives, disregarding internal policy levers for rebalancing. [ABSTRACT FROM AUTHOR]

Copyright of Business Administration Quarterly / Kwartalnik Nauk o Przedsiebiorstwie is the property of SGH Warsaw School of Economics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The number of obstetric departments in German hospitals has declined in the last decades. In particular, rural hospitals are challenged to sustain their delivery services. In this paper, we analyse the role of variation and overheads of obstetric departments from the perspective of current and future German hospital financing. For this purpose, we develop a Monte Carlo simulation model that analyses the workload of the labour room and the obstetric ward. The results show that a hospital with less than 640 deliveries per year cannot break even. In order to offer services 24 h per day, 365 days per year, five nurses, five midwives, and five gynaecologists are needed. This results in high fixed costs. At the same time, the variation coefficient of the labour room and the obstetric ward declines with an increasing number of deliveries. Consequently, small hospitals have a higher risk of over- and under-utilization in the course of the year. This paper acknowledges that economics is not the only decision dimension. The quality of the institution and the transport to the hospital have to be considered, as well as the population's wish for nearby services. However, the simulations clearly demonstrate that unless the hospital financing system is changed fundamentally, the decline in the number of hospitals offering delivery services will continue. [ABSTRACT FROM AUTHOR]