Discusion

Resumen

En esta investigación se estudia la validez de una versión castellana de la escala «Environmental Concern Scale» (ECS) llevada a cabo con 716 estudiantes. Las puntuaciones obtenidas por los sujetos proambientalistas y no proambientalistas resultan significativamente diferentes. Asímismo, se estudian las relaciones entre las actitudes hacia la preocupación por el medio ambiente, la energía nuclear y la ideología política, mostrándose una relación entre ellas de diferente intensidad. Mientras la energía nuclear está fuertemente vinculada a la ideología política, no sucede en tal medida entre ésta y las actitudes conservacionistas, ya que tanto los de derechas como los de izquierdas participan de la preocupación por el medio ambiente, aunque no en la misma medida.     

Excluded by crisis management? Legislative hyperactivity in post-2015 Germany

This article examines the legislative measures taken by Germany since 2014 to manage the “refugee crisis” and analyses the potential effects on the rights and the well-being of asylum seekers and persons with protection needs at large. By taking a closer look at the reasoning given in the respective legislative documents we will show the link between the recent changes in the national asylum and migration law and the underlying migration management framework. The article concludes that Germany has seen a shift from a management to a securitization approach, the latter entailing a special emphasis on deportation (“return turn”) rather than focusing on accommodation and integration of those seeking protection. Acting in a mere “crisis mode”, the German legislator has implemented an exclusion paradigm that incrementally substituted the prior inclusive policies over time.     

Simulation of Multivariate Gaussian Time Series

The paper discusses a simulation method for multivariate Gaussian time series by means of the discrete Fourier transform (Borgman, 1982). The procedure is quite general with respect to the correlation and spectral properties of the series and allows In addition simulations conditional on a subset of the time series. Simulations of the output from a set of ocean wave recorders are shown as an illustration of the method.     

A comparison of methods for the fitting of generalized additive models

There are several procedures for fitting generalized additive models, i.e. regression models for an exponential family response where the influence of each single covariates is assumed to have unknown, potentially non-linear shape. Simulated data are used to compare a smoothing parameter optimization approach for selection of smoothness and of covariates, a stepwise approach, a mixed model approach, and a procedure based on boosting techniques. In particular it is investigated how the performance of procedures is linked to amount of information, type of response, total number of covariates, number of influential covariates, and extent of non-linearity. Measures for comparison are prediction performance, identification of influential covariates, and smoothness of fitted functions. One result is that the mixed model approach returns sparse fits with frequently over-smoothed functions, while the functions are less smooth for the boosting approach and variable selection is less strict. The other approaches are in between with respect to these measures. The boosting procedure is seen to perform very well when little information is available and/or when a large number of covariates is to be investigated. It is somewhat surprising that in scenarios with low information the fitting of a linear model, even with stepwise variable selection, has not much advantage over the fitting of an additive model when the true underlying structure is linear. In cases with more information the prediction performance of all procedures is very similar. So, in difficult data situations the boosting approach can be recommended, in others the procedures can be chosen conditional on the aim of the analysis.     

An Agricultural Wealth Index for Multidimensional Wealth Assessments

Social scientists have increasingly used asset‐based wealth scores, like the Demographic and Health Survey (DHS) wealth index, to assess economic disparities. However, current indices primarily capture wealth in globalized market economies, thus ignoring other forms of prosperity, such as success in agricultural activities. Using a simple extension to the standard estimation of the DHS wealth index, we describe procedures for estimating an agricultural wealth index (AWI) that complements market‐based wealth indices by capturing household success in agricultural activities. We apply this procedure to household data from 129 DHS surveys from over 40 countries with sufficient land and livestock data to estimate a reliable and consistent AWI. We assess the construct validity of the AWI using benchmarks of growth in both adults and children. This alternative measure of wealth provides new opportunities for understanding the causes and consequences of wealth inequality, and how success along different dimensions of wealth creates different social opportunities and constraints for health and well‐being.     

City dwelling wild bees: how communal gardens promote species richness

Urban areas consist of wide expanses of impervious surfaces which are known to negatively affect insect biodiversity in general, but green spaces within cities have the potential to provide necessary habitat and foraging resources. Although, communal gardens were primarily intended to provide fresh, regional food to denizens, these green islands also host a surprisingly high number of wild bee species.

The gardens were characterized based on structural elements such as flower frequency, the relative percentage of lawn, trees, shrubs, planted crops and infrastructure (e.g. seating possibilities or garden houses). Further, the effects of different landscape structures surrounding the gardens and distance to the city center were analyzed on the total wild bee species richness and functional traits. Focusing on these putative influencing factors, statistical analyses calculating random decision forests along with generalized linear mixed models were applied. With 113 observed wild bee species, communal gardens provide habitat for a quarter of all known species in Vienna. In conclusion, results revealed that only elements within the gardens had an effect on species richness, with flower frequency as the major positive driver. The examined communal gardens promote and conserve wild bees independent from the location within the city or garden size. Furthermore, these green patches are important sanctuaries, hosting rare and threatened species as well as remarkably special wild bee communities.

     

How to ensure that headquarters add value

Over the last few years many international corporations have started to restructure their organizations fundamentally by redistributing management tasks and creating small, market-oriented units. However strong the centrifugal forces were, the core task in restructuring these corporations was: how to redesign the corporate centre. The design of the corporate centre is of major importance for the performance of corporations. Corporate Centres can actively improve the performance of their business units, for instance by defining performance targets or by providing shared resources. On the other hand headquarters are frequently accused of being bureaucratic liabilities which make no contribution to corporate success. This problem has grown in recent years as organic growth, internationalization, and an increasing number of mergers and acquisitions have generated new co-ordination problems. These developments have given new priority to the question of corporate centre organization. What is required is the definition of an effective role for the centre and the establishment of central units with efficient scope and size. This article discusses both tasks in the light of current and future requirements for corporate centre organization.