scholarly journals Welfare Chauvinism, Economic Insecurity and the Asylum Seeker “Crisis”

Societies ◽  
2018 ◽  
Vol 8 (3) ◽  
pp. 83 ◽  
Author(s):  
Boris Heizmann ◽  
Alexander Jedinger ◽  
Anja Perry

Immigration has been a major trend in the last decades in Europe. However, immigrant access to the social security systems has remained a contentious issue having gained additional salience in light of the recent asylum-seeking developments. We focus on welfare chauvinism, the idea that immigrants should not participate in welfare resources, as an attitudinal dimension. We seek to answer two primary questions: To what extent are different types of objective and subjective material deprivation related to welfare chauvinism? What is the role of the recent asylum seeker influx? Using European Social Survey data and employing binary and generalized ordered logit models with country fixed effects, we find perceptions of deprivation to be more meaningful than objective factors related to potential job loss, and some relationships depend on the specific type of deprivation. On the country level, in line with the deservingness of asylum seekers as a group, higher levels of asylum seeking are related to lower levels of welfare chauvinism, while GDP per capita is not associated with welfare chauvinism. Finally, the generalized ordered logit model shows that some relationships vary according to the strictness of welfare chauvinism, which would not be visible in a conventional ordered logit model.

Author(s):  
Qiang Zeng ◽  
Wei Hao ◽  
Jaeyoung Lee ◽  
Feng Chen

This study presents an empirical investigation of the impacts of real-time weather conditions on the freeway crash severity. A Bayesian spatial generalized ordered logit model was developed for modeling the crash severity using the hourly wind speed, air temperature, precipitation, visibility, and humidity, as well as other observed factors. A total of 1424 crash records from Kaiyang Freeway, China in 2014 and 2015 were collected for the investigation. The proposed model can simultaneously accommodate the ordered nature in severity levels and spatial correlation across adjacent crashes. Its strength is demonstrated by the existence of significant spatial correlation and its better model fit and more reasonable estimation results than the counterparts of a generalized ordered logit model. The estimation results show that an increase in the precipitation is associated with decreases in the probabilities of light and severe crashes, and an increase in the probability of medium crashes. Additionally, driver type, vehicle type, vehicle registered province, crash time, crash type, response time of emergency medical service, and horizontal curvature and vertical grade of the crash location, were also found to have significant effects on the crash severity. To alleviate the severity levels of crashes on rainy days, some engineering countermeasures are suggested, in addition to the implemented strategies.


2020 ◽  
Author(s):  
Chris Muris ◽  
Pedro S. Raposo ◽  
Sotiris Vandoros

2011 ◽  
Author(s):  
Gregori Baetschmann ◽  
Kevin E. Staub ◽  
Rainer Winkelmann

2018 ◽  
Vol 10 (6) ◽  
pp. 168781401878162 ◽  
Author(s):  
Tao Wang ◽  
Jun Chen ◽  
Chen Wang ◽  
Xiaofei Ye

A thorough crash modeling effort was made to examine e-bicyclists’ injury severity, using a generalized ordered logit model, which can capture the ordinal nature of injury severity and allow for heterogeneity across observations. A number of factors associated with injury severity of e-bicyclists are identified, including older e-bicyclists, heavy truck involved, e-bicyclist at fault, e-bicyclist turn left, e-bicyclist cross the road, driver turn right, industrial area, weekday, and tree separation. Safety countermeasures and interventions are thus proposed based on the modeling results, including developing educational programs for specific age groups (e.g. older e-bicyclists, female e-bicyclists, and inexperienced drivers), launching safety campaigns, improving geometric design and traffic control in low-developed area, curve roads, and signalized intersections. Moreover, some interesting research topics are also suggested, such as examining head-on e-bike crash mechanism, crash mechanism between e-bicyclists and heavy trucks and motorcycles, and safety effects of different separation treatments on e-bicyclists’ injury severity from kinetic and kinematic perspectives.


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