Australia

European Journal of Political Research -     

Making Sense of the Globalisation Debate when Engaging in Political Economy Analysis

This article assesses various contributions to the globalisation debate. It takes as its basis the split in the political economy literature between three 'waves' of analysis, and provides an overview of each in the first part of the article. A progression towards a more sophisticated understanding of 'globalisation' has taken place with the emergence of each wave, with the third wave representing the most refined account. The second section suggests neo-Gramscian theory can overcome the shortcomings of the otherwise praiseworthy third wave. In particular, the work of Stuart Hall is presented as appropriate for the study of globalisation, and political economy in general. The article concludes by calling for greater cross-pollination of ideas between the various critical theories of political economy.     

The Impact of Language Status as an Acculturative Stressor on Internalizing and Externalizing Behaviors among Latino/a Children: A Longitudinal Analysis from School Entry through Third Grade

This study examined the relationship between limited English proficiency status, and internalizing and externalizing behaviors among a sample of Latino/a children (N = 2,840) from the US Department of Education’s Early Childhood Longitudinal Study, Kindergarten (ECLS-K) data set. Results of cross sectional regression and hierarchical linear modeling (HLM) analyses suggest that there is a positive relationship between limited English proficiency and externalizing symptoms, particularly by third grade. Additionally, sex and place of birth also helped to explain externalizing behaviors at various time points in the models. Place of birth and family poverty were significantly associated with internalizing symptoms. Implications for future research and interventions related to internalizing and externalizing behavior among the Latino/a school aged population are discussed.

Portable high‐resolution automated 3D imaging for footwear and tire impression capture

The forensic science community raised the need for improved evidence recognition, collection, and visualization analytical instrumentation for field and laboratory use. While the 3D optical techniques for imaging static objects have been extensively studied, there is still a major gap between current knowledge and collecting high‐quality footwear and tire impression evidence. Among optical means for 3D imaging, digital fringe projection (DFP) techniques reconstruct 3D shape from phase information, achieving camera‐pixel spatial resolution. This paper presents a high‐resolution 3D imaging technology using DFP techniques dedicated to footwear and tire impression capture. We developed fully automated software algorithms and a graphical user interface (GUI) that allow anyone without training to operate for high‐quality 3D data capture. We performed accuracy evaluations and comparisons comparing with the commercial high‐end 3D scanner and carried out qualitative tests for various impressions comparing with the current practices. Overall, our technology achieves similar levels of accuracy and resolution with a high‐end commercially available 3D scanner, while having the merits of being (1) more affordable; (2) much easier to operate; and (3) more robust. Compared with the current practice of casting, our technology demonstrates its superiority because it (1) is non‐destructive; (2) collects more evidence detail than casts, especially when an impression is fragile; (3) requires less time and money to collect each piece of evidence; and (4) results in a digital file that can easily be shared with other examiners.     

The Green New Deal Must Preserve the Existing Nuclear Fleet

Abstract

As the largest source of carbon-free energy in the United States, nuclear energy must play a vital role in reducing emissions. This article suggests the Green New Deal, an ambitious federal proposal to address climate change, should aim to preserve the existing nuclear fleet by authorizing states to establish zero emission credit (“ZEC”) programs. The ZEC programs will provide credits, in the form of revenue, for the carbon-free attribute of nuclear energy. This article posits the ZEC programs should be based on a model ZEC program developed by the Federal Energy Regulatory Commission and explicitly authorized by amendment of the Federal Power Act to avoid issues of preemption.     

Children’s attitudes towards animal cruelty: Exploration of predictors and socio-demographic variations

ABSTRACT

Assessing the risk for animal cruelty is imperative, yet understudied and problematic due to the sensitivity of the topic. Early prevention is critical, yet very little research examines cruelty when it first appears in childhood. The aim of this study was to explore children’s attitudes towards types of animal cruelty, to investigate potential demographic differences, and to examine potential associations between acceptance of cruelty and cognitive and affective factors that place children ‘at-risk’ for cruelty perpetration. Questionnaire data was collected from 1127 children in schools. The results indicate that cruelty attitudes are predicted by some demographic variables such as urban living, being male, younger age and not having pets, but depend on the type of animal cruelty. Acceptance of cruelty predicted low compassion and low reported humane behaviour towards animals. Acceptance of cruelty was predicted by negative attitudes towards animals, lower beliefs in animal minds and low attachment to pets, signifying the importance of targeting such variables in future prevention programmes. This study is an original contribution to research into childhood animal cruelty in the general population, with implications for designing and implementing early prevention programmes that tackle problematic attitudes to cruelty.     

Public capital stock and interstate variations in manufacturing efficiency

This study focuses on the role of public capital stock in contributing to interstate differences in productive efficiency in manufacturing. Our motivation is to assess the role of public capital as a source of persistent regional variations in efficiency, and thus determine if public infrastructure policies might reasonably be expected to alter the competitive environment of a state's manufacturing sector. We use a stochastic frontier production function model, explicitly incorporating infrastructure capital, to examine the relative performance of the aggregate manufacturing sector across states and over time. We calculate an index of productive efficiency and estimate the determinants of statewide variations in it. These results show that variations in per capita infrastructure stocks significantly affect manufacturing efficiency. Considering the behavior of public capital as both a direct and an indirect input furthers our understanding of the role of infrastructure and its implications for regional economic development policies.