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The chapter analyses recent reforms in the multilevel system of the Länder, specifically territorial, functional and structural reforms, which represent three of the most crucial and closely interconnected reform trajectories at the subnational level. It sheds light on the variety of reform approaches pursued in the different Länder and also highlights some factors that account for these differences. The transfer of state functions to local governments is addressed as well as the restructuring of Länder administrations (e.g. abolishment of the meso level of the Länder administration and of single-purpose state agencies) and the rescaling of territorial boundaries at county and municipal levels, including a brief review of the recently failed (territorial) reforms in Eastern Germany.
The German system of public sector employment (including civil servants and public employees) qualifies as a classical European continental civil service model moulded in traditional forms of a Weberian bureaucracy. Its features include a career-based employment system with entry based on levels of formal qualification. Coordinated by legal frames and centralised collective bargaining, the civil service is, at the same time, decentralised and flexible enough to accommodate regional differences and societal changes. In comparison, the civil service system stands out for its high degrees of professionalism and legal fairness with low levels of corruption or cronyism.
In this introductory chapter, the editors describe the main theoretical basis of analysis of this book and the methodological approach. The core of this book consists of 14 country-specific chapters, which allow a European comparison and show the increasing variance in migration policy approaches within and between European countries. The degree of local autonomy, the level of centralisation and the traditional forms of migration policy are factors that especially influence the possibilities for local authorities to formulate their own integration policies.
This chapter focuses on the relationship between public opinion on migration and its media coverage. Different explanatory models, including individual characteristics, cultural factors and the impact of media and politics, have been proposed to explain public attitudes towards migrants. Understanding the local context is important, as the shares of migrants living in each region and city vary considerably. Providing correct statistical information, stressing the diversity of current migration patterns in Europe and taking part in media and public discussions are ways in which to impact public attitudes at the local level.
The chapter begins with a brief historical overview of Germany’s transition in the twentieth and twenty-first century from a transit and emigration country to one of immigration. The next part of this chapter looks at the challenges and problems facing German immigration policy within a multi-level federal system. Finally, the chapter gives an analysis of some of the trends in German migration policy since the refugee crisis in 2015, such as changes in the party system and in the concepts underlying migration policies to better manage, control and limit immigration to Germany.
As expected, the traditions of national-state migration policies continue to play a very important role, path-dependence in this policy field remains high. The distribution of competences in migration policy and the integration of migrants in the nation states continues to be very different. When implementing integration strategies at grassroots level, the respective policies should be tailored to the profile of both the local migrant community and the native population. Besides better migration management in local administration and the interaction of top-down and bottom-up efforts to integrate migrants is of importance.
Reciprocal space slicing
(2021)
An experimental technique that allows faster assessment of out-of-plane strain dynamics of thin film heterostructures via x-ray diffraction is presented. In contrast to conventional high-speed reciprocal space-mapping setups, our approach reduces the measurement time drastically due to a fixed measurement geometry with a position-sensitive detector. This means that neither the incident (ω) nor the exit (2θ) diffraction angle is scanned during the strain assessment via x-ray diffraction. Shifts of diffraction peaks on the fixed x-ray area detector originate from an out-of-plane strain within the sample. Quantitative strain assessment requires the determination of a factor relating the observed shift to the change in the reciprocal lattice vector. The factor depends only on the widths of the peak along certain directions in reciprocal space, the diffraction angle of the studied reflection, and the resolution of the instrumental setup. We provide a full theoretical explanation and exemplify the concept with picosecond strain dynamics of a thin layer of NbO2.
Sephardim and Ashkenazim
(2021)
Premessa
(2021)
The co-occurrence of warm spells and droughts can lead to detrimental socio-economic and ecological impacts, largely surpassing the impacts of either warm spells or droughts alone. We quantify changes in the number of compound warm spells and droughts from 1979 to 2018 in the Mediterranean Basin using the ERA5 data set. We analyse two types of compound events: 1) warm season compound events, which are extreme in absolute terms in the warm season from May to October and 2) year-round deseasonalised compound events, which are extreme in relative terms respective to the time of the year. The number of compound events increases significantly and especially warm spells are increasing strongly – with an annual growth rates of 3.9 (3.5) % for warm season (deseasonalised) compound events and 4.6 (4.4) % for warm spells –, whereas for droughts the change is more ambiguous depending on the applied definition. Therefore, the rise in the number of compound events is primarily driven by temperature changes and not the lack of precipitation. The months July and August show the highest increases in warm season compound events, whereas the highest increases of deseasonalised compound events occur in spring and early summer. This increase in deseasonalised compound events can potentially have a significant impact on the functioning of Mediterranean ecosystems as this is the peak phase of ecosystem productivity and a vital phenophase.
Compound weather events may lead to extreme impacts that can affect many aspects of society including agriculture. Identifying the underlying mechanisms that cause extreme impacts, such as crop failure, is of crucial importance to improve their understanding and forecasting. In this study, we investigate whether key meteorological drivers of extreme impacts can be identified using the least absolute shrinkage and selection operator (LASSO) in a model environment, a method that allows for automated variable selection and is able to handle collinearity between variables. As an example of an extreme impact, we investigate crop failure using annual wheat yield as simulated by the Agricultural Production Systems sIMulator (APSIM) crop model driven by 1600 years of daily weather data from a global climate model (EC-Earth) under present-day conditions for the Northern Hemisphere. We then apply LASSO logistic regression to determine which weather conditions during the growing season lead to crop failure. We obtain good model performance in central Europe and the eastern half of the United States, while crop failure years in regions in Asia and the western half of the United States are less accurately predicted. Model performance correlates strongly with annual mean and variability of crop yields; that is, model performance is highest in regions with relatively large annual crop yield mean and variability. Overall, for nearly all grid points, the inclusion of temperature, precipitation and vapour pressure deficit is key to predict crop failure. In addition, meteorological predictors during all seasons are required for a good prediction. These results illustrate the omnipresence of compounding effects of both meteorological drivers and different periods of the growing season for creating crop failure events. Especially vapour pressure deficit and climate extreme indicators such as diurnal temperature range and the number of frost days are selected by the statistical model as relevant predictors for crop failure at most grid points, underlining their overarching relevance. We conclude that the LASSO regression model is a useful tool to automatically detect compound drivers of extreme impacts and could be applied to other weather impacts such as wildfires or floods. As the detected relationships are of purely correlative nature, more detailed analyses are required to establish the causal structure between drivers and impacts.
Future Outlook and Scenarios
(2021)
Where is local self-government heading in the future? Among trends identified is firstly an intensification of multilevel, intermunicipal, and cross-border governance. In the future even more of cooperation and coordination among different political and administrative levels will be required. Territorial boundaries have become increasingly incongruent with functional public activities. Secondly, the innovative potential of introducing markets as templates for organisational reform has reached its end. Future reforms will most likely try to adapt market reforms to local public contexts, or even reverse the development. Finally, a tightening of state steering and an increased dependence on state funding to uphold local services is expected. Waves of amalgamations might slow down this process but they will not make financial problems disappear completely.
The digital transformation of the local public sector is an important step towards making local service delivery more citizen-centred and user-oriented. The state of digitalisation in public administration in Germany is, however, well behind the far-reaching hopes associated with this modernisation theme. This chapter will explore the question as to what extent digital tools have been introduced in German local governments, more specifically in local one-stop shops (Bürgerämter), which hurdles local actors face when coping with the digital transformation, and which tools impact on citizens and local employees as well as have unintended effects and dysfunctionalities so far. A comprehensive and standardised survey amongst mayors and heads of staff councils in German municipalities as well as citizens and employees’ surveys and case studies will form the empirical basis of this chapter.
Beyond Charter and Index
(2021)
The Chapter examines the concept of local autonomy in modern European states by analysing theoretical approaches. The classical, deductive approach defines local autonomy mostly through legal, economic and financial conditions, especially by formal structures. This proves to be too weak to define the internal strength of local authorities and their real political-administrative power. A more multidimensional definition of autonomy, including indicators as importance, capacity, as well as discretion and democracy at local level is needed. The authors utilise the indicators, used by the Local Autonomy Index (LAI) developed by Ladner et al. and the European Charter of Local Self-Government to find out what is still missing. The contribution redounds to stimulate the scientific debate on local autonomy in Europe. Until the concept of local autonomy will fit for all European states with extremely differentiated local authorities, the research in this field remains a conceptual and heuristic endeavour. Especially, because local government and democracy are until now territory-based, whereas the reality is one of multilevel and cross-border governance.