A quantitative and qualitative analysis of sexual harassment claims 1995–2005

This article explores the organisational and legal context in which parties involved in claims relating to sexual harassment operate, and presents an analysis of the population of sexual harassment cases heard by Employment Tribunals between 1995 and 2005.     

Bees in the medieval economy: religious observance and the production,trade, and consumption of wax in England,c. 1300–1555

The high and late middle ages saw a significant increase in demand for beeswax, a fundamental component of medieval Christian devotion, spurred by both changing socio‐economic conditions and shifts in religious practice. The vast quantities of wax needed for churches and religious foundations in England drove a thriving international trade spanning from the hinterland of Novgorod to the port of Lisbon, while at the same time encouraging widespread domestic beekeeping. This article considers the impact of supply‐side constraints and increasing demand on wax prices, calculating the cost and quantity of wax purchased by large foundations, parish churches, and individual offerings, to reveal the hitherto underexplored impact of religious consumption on the medieval economy.     

Personality traits,basic individual values and GMO risk perception of twitter users

Abstract

The present study investigates how the most foundational factors to individual differences – personality traits and personal values – affect the perceived safety of genetic modification and their relative importance. Publicly available communication data from 522 Twitter accounts discussing genetically modified foods and their safety was processed in two steps. First, accounts were categorized by the researchers as viewing GM foods as either safe or not safe. Second, using the IBM Watson platform, the Twitter communication data were subjected to lexical analysis to assign scores according to the Five Factor Model for personality traits and Schwartz’s basic individual values to the individual accounts. Logistic regression analyses were performed to determine how perceived GM food safety is linked to personality traits and individual values. Although both traits and values significantly contribute to explaining GM attitudes, personality traits strongly moderate the effect of individual values on risk perception.     

Consumer response to food labels in an emerging market: the case of Romania

This study investigates consumer response to food labels in an emerging market. More specifically, it measures the levels of awareness, objective and perceived understanding, perceived usefulness and perceived trustworthiness of the most prominent food labels found in the Romanian market. An online survey was conducted with a convenience sample of 428 respondents (45.6% males of an average age of 30.6 years). Results revealed that for most respondents, awareness levels towards food labels are generally low, except for the Guideline Daily Amount (GDA) and the organic food labels. Objective understanding towards food labels was relatively high, especially towards those food labels that included a clear text element. Perceived understanding, perceived usefulness and perceived trustworthiness were found to be consistently high with regard to the GDA and the national organic food labels, while the European organic label scored lower. Finally, response to food labels was found to differ between aware and unaware respondents.     

NONPARAMETRIC AND SEMIPARAMETRIC PANEL DATA MODELS: RECENT DEVELOPMENTS

In this paper, we provide an intensive review of the recent developments for semiparametric and fully nonparametric panel data models that are linearly separable in the innovation and the individual-specific term. We analyze these developments under two alternative model specifications: fixed and random effects panel data models. More precisely, in the random effects setting, we focus our attention in the analysis of some efficiency issues that have to do with the so-called working independence condition. This assumption is introduced when estimating the asymptotic variance–covariance matrix of nonparametric estimators. In the fixed effects setting, to cope with the so-called incidental parameters problem, we consider two different estimation approaches: profiling techniques and differencing methods. Furthermore, we are also interested in the endogeneity problem and how instrumental variables are used in this context. In addition, for practitioners, we also show different ways of avoiding the so-called curse of dimensionality problem in pure nonparametric models. In this way, semiparametric and additive models appear as a solution when the number of explanatory variables is large.     

Intergenerational Correlations of Extreme Right‐Wing Party Preferences and Attitudes toward Immigration

In this paper, we analyze the importance of parental socialization on the development of children's far right‐wing preferences and attitudes toward immigration. Using longitudinal data from Germany, our intergenerational estimates suggest that the strongest and most important predictor for young people's right‐wing extremism are their parents' right‐wing extremist attitudes. While intergenerational associations in attitudes toward immigration are equally high for sons and daughters, we find a positive intergenerational transmission of right‐wing extremist party affinity for sons, but not for daughters. Compared to the intergenerational correlation of other party affinities, the high association between fathers' and sons' right‐wing extremist attitudes is particularly striking.     

Electrification of a city bus network—An optimization model for cost-effective placing of charging infrastructure and battery sizing of fast-charging electric bus systems

The deployment of battery-powered electric bus systems within the public transportation sector plays an important role in increasing energy efficiency and abating emissions. Rising attention is given to bus systems using fast charging technology. This concept requires a comprehensive infrastructure to equip bus routes with charging stations. The combination of charging infrastructure and bus batteries needs a reliable energy supply to maintain a stable bus operation even under demanding conditions. An efficient layout of the charging infrastructure and an appropriate dimensioning of battery capacity are crucial to minimize the total cost of ownership and to enable an energetically feasible bus operation. In this work, the central issue of jointly optimizing the charging infrastructure and battery capacity is described by a capacitated set covering problem. A mixed-integer linear optimization model is developed to determine the minimum number and location of required charging stations for a bus network as well as the adequate battery capacity for each bus line. The bus energy consumption for each route segment is determined based on individual route, bus type, traffic, and other information. Different scenarios are examined in order to assess the influence of charging power, climate, and changing operating conditions. The findings reveal significant differences in terms of required infrastructure. Moreover, the results highlight a trade-off between battery capacity and charging infrastructure under different operational and infrastructure conditions. This paper addresses upcoming challenges for transport authorities during the electrification process of the bus fleets and sharpens the focus on infrastructural issues related to the fast charging concept.