The effects of climate change on the geography and timing of human mobility

Human mobility over different distances and time scales has long been associated with environmental change, and the idea of climate change is now affecting movement in new ways. In this paper, we discuss three cases from the South Pacific to explain the ways anticipated climate futures are changing mobility in the present. First, we examine village relocation in response to coastal erosion and inundation in Fiji, drawing on our study of the unfolding experience of Narikoso village in Kadavu Province. In contrast to this spatially constrained process of permanent relocation, we examine the spatially extended yet temporally constrained seasonal migrant worker programme that aims to support economic development in the Pacific Islands by providing temporary work visas in Australia and New Zealand. Finally, we examine the likely effects of proposed open labour markets as a means to promote climate change adaptation, through a study of the analogous example of Niuean migration to New Zealand which has resulted in both permanent migration and a slow circulation of people between both countries. Across these examples, we highlight emerging and potentially constructive ways in which climate change is altering the spatio-temporal patterns and rhythms of mobility.     

Using pedometers to document physical activity in patients with schizophrenia spectrum disorders: a feasibility study

Identification of procedures to document physical activity is critical to developing interventions to improve physical health. The purpose of this pilot study was to describe the feasibility and acceptability of pedometers to document physical activity in patients with schizophrenia spectrum disorders (SSDs). Twenty-four outpatients were provided with extended-wear pedometers and instructed to wear them daily for 1 week without altering their usual activities. All participants completed the 1-week data collection period. Twenty-one (87.5%) participants wore their pedometer at least 6 of the 7 days. Difficulties with the pedometers were few and minor. These preliminary findings indicate that a majority of individuals with SSDs are willing to wear pedometers for activity monitoring and can do so with few problems. Possible barriers to the use of extended-wear pedometers in this group include cognitive and memory deficits. Future investigations should test concurrent validity by examining the correlations between pedometer data and self-reported activity level.     

Computer decision support tools in primary care

Computer Decision Support Tools (CDSTs) can support clinicians at various stages of the care process and improve healthcare, but implementation of these tools has been difficult. In this study we examine the need for, the use of, and barriers and facilitators to the use of a CDST from a human factor perspective. Results show that there is a need for CDSTs, and that physicians do use well-developed CDSTs. However, there are also barriers against the use, such usability issues and problems fitting them into the clinical workflow.     

Risk Factors for Problematic Gambling: A Critical Literature Review

This article is a critical review of risk factors for pathological gambling categorized by demographics, physiological and biological factors, cognitive distortions, comorbidity and concurrent symptoms, and personality symptoms and characteristics. There is also a varia section (availability, parents playing, sensory characteristics, schedules of reinforcement, age of onset, and playing duration). The review found very few well established risk factors for pathological gambling (i.e. more than two studies to support the conclusions). Well established risk factors included demographic variables (age, gender), cognitive distortions (erroneous perceptions, illusion of control), sensory characteristics, schedules of reinforcement, comorbid disorders (OCD, drug abuse), and delinquency/illegal acts. An understanding of risk factors for pathological gambling should enhance prevention and treatment approaches.     

Minimum Wages in a Segmented Labor Market: Evidence from South Africa

The segmented labor market model describes the impacts of minimum wages on covered and uncovered sectors. This paper examines the impacts of an industry-specific minimum wage in South Africa, a state characterized by high unemployment, a robust union movement, and the presence of a large informal sector. Under the industry-specific wage law, formal agricultural and household workers are covered, while workers in other sectors are not. The unique aspect of this paper lies in the ability to compare the impacts of minimum wage legislation on formal covered, informal covered, formal uncovered, and informal uncovered workers. This natural experiment allows us to test whether industry-specific minimum wage legislation leads to higher wages, whether wage increases are restricted solely to covered formal sectors or if there are spillover effects, and whether such legislation manifests in disemployment effects. We find evidence of higher wages yet disemployment among black workers in formal markets. In informal markets we find no employment effects, but higher wages in formal markets appear to have spilled over into informal markets in covered sectors.     

The EU integration process and the convergence of social protection benefits at national level

The essential objective of this article is to measure and interpret the degree of convergence of social protection benefits in European Union member states as the process of European integration has progressed. In this sense, the article analyses the potential role of per capita income and of the socio-demographic characteristics of the population as explanatory variables for the levels of social protection provision in European countries. The empirical study focuses on the period from 1985 to 1999, and investigates whether differences in welfare provision levels decreased as European integration progressed, in line with the convergence in economic and socio-demographic variables between member states.     

VIOLENT VALUES, CONDUCT NORMS, AND YOUTH AGGRESSION: A Multilevel Study in Iceland

The subculture of violence approach suggests that group adherence to values and norms that encourage violence influence aggressive behavior through two analytically separate processes: (1) internalization of values encouraging violence, and (2) social control stemming from others' adherence to conduct norms. While some attention has been paid to the former process, the research has rarely addressed the latter. We examine the individual-level and contextual effects of values that encourage violence and perceived conduct norms on youth aggression in Iceland. The results indicate that group adherence to violent values and norms influences aggression through social control as well as internalization (socialization), lending cross-cultural support to the subculture of violence perspective.     

Utility Subsidies as Social Transfers: An Empirical Evaluation of Targeting Performance

Subsidies to residential utility customers are important in‐kind transfer mechanisms in developing countries. Do these subsidies reach the poor? This article finds the average targeting performance of water and electricity subsidies to be similar to that of other social‐transfer mechanisms using the same targeting method. The most common form — a quantity‐based consumption subsidy aiming to subsidise low‐volume customers — is highly regressive. Many geographically‐targeted and most means‐tested utility subsidies are progressive, but still exclude many poor households. Connection subsidies are an attractive alternative in low coverage areas, but they will only reach the poor if utilities extend network access to poor households and if households choose to connect.     

The Repeatability of Uncertainty and Sensitivity Analyses for Complex Probabilistic Risk Assessments

The performance of a probabilistic risk assessment (PRA) for a nuclear power plant is a complex undertaking, involving the assembly of an accident frequency analysis, an accident progression analysis, a source term analysis, and a consequence analysis. Each of these analyses is, in itself, quite complex. Uncertainties enter into a PRA from each of these analyses. An important focus in recent PRAs has been to incorporate these uncertainties at each stage of the analysis, propagate the subsequent uncertainties through the entire analysis, and include uncertainty in the final results. Monte Carlo procedures based on Latin hypercube sampling provide one way to perform propagations of this type. In this paper, the results of two complete and independent Monte Carlo calculations for a recently completed PRA for a nuclear power plant are compared as a means of providing empirical evidence on the repeatability of uncertainty and sensitivity analyses for large-scale PRA calculations. These calculations use the same variables and analysis structure with two independently generated Latin hypercube samples. The results of the two calculations show a high degree of repeatability for the analysis of a very complex system.