抗日战争时期工厂内迁及其对大后方工业的影响

抗日战争爆发后 ,国民政府被迫组织了沿江沿海国营和部分民营工厂迁往我国西南等内地。工厂内迁促进了大后方工业的发展 ,为大后方迅速建立起新的工业基础 ,改变了过去不合理的工业局面。虽然这是在特殊的历史背景下的战时政治经济的产物 ,在很大程度上受制于战争的进展和时局的转换 ,但它却使西部地区的工业在战时短短的数年便走完了平时需要数十年乃至百余年才能走完的历程 ,并为嗣后西部地区工业的发展创设了一些条件和留下了一定的基础。抗日战争时期 ,国民政府主动或被动所采取的有关政策而形成的发展西部地区工业经济的模式 ,至今仍有鉴借意义     

Emplaced mobilities: Lisbon as a translocality in the migration journeys of Punjabi Sikhs to Europe

The arrival in Portugal of recent migrants from the Indian subcontinent is normally a secondary movement from within Europe tied to the search for a regular pathway into legal integration in the EU. However, as favourable migration policy is not paired with easy economic integration onward migration is common. We argue that such complex migration strategies cannot be amply explored through an origin–destination model; instead we suggest that a translocal perspective provides a framework to examine connections and experiences of emplacement in places of passage/reception like Lisbon. Through a qualitative study of the migration journeys and emplaced practices of Punjabi migrants in Lisbon, our findings highlight relationality between multiple scales, elucidating how agency and structure interact at micro and macro levels in shaping migration experiences and outcomes. We show how the materiality of local community structures ensures the navigation of daily life in the city and provides pathways toward legality contributing to wider mobility regimes. Moreover, we illustrate how onward migration represents an individual strategy to realise different aspects of integration in other EU destinations challenging nation-state-bound understandings of citizenship/settlement and integration.     

Fatalism and Well-Being Across Hispanic Cultures: The Social Fatalism Scales (SFS)

Social Indicators Research - Fatalism has been a core construct in the study of psychological and social processes related to well-being and life quality in social sciences. The objective of the...     

Bayesian unit-root tests for Stochastic Volatility models

In this article, we consider Bayesian inference procedures to test for a unit root in Stochastic Volatility (SV) models. Unit-root tests for the persistence parameter of the SV models, based on the Bayes Factor (BF), have been recently introduced in the literature. In contrast, we propose a flexible class of priors that is non-informative over the entire support of the persistence parameter (including the non-stationarity region). In addition, we show that our model fitting procedure is computationally efficient (using the software WinBUGS). Finally, we show that our proposed test procedures have good frequentist properties in terms of achieving high statistical power, while maintaining low total error rates. We illustrate the above features of our method by extensive simulation studies, followed by an application to a real data set on exchange rates.     

Engagement strategies and change: an intentional practice response for the child welfare worker in cases of domestic violence

In order to engage mothers who are victims of domestic abuse, the child welfare worker needs to be challenged to develop an intentional practice response that includes knowledge and skill concerning the complexities of domestic violence, as well as the process of change. Developing a supportive relationship, understanding the stages of change (SOC) and engaging mothers as leaders in the change process are essential to successful child protection outcomes. Within the context of the SOC model, this practice‐based paper focuses on the importance of engaging mothers who are victims of domestic violence in conversations about their own unique dilemmas, challenges and barriers regarding change. Through the inclusion of engagement strategies such as signs of safety, active listening and cost/benefit analysis, in concert with the SOC theory, the child welfare worker would be equipped with an approach to successfully assist mothers through their change journey, ultimately keeping children safe.     

Effects of Alternative Policies on Income Redistribution: Evidence from Brazil

Despite recent successes, Brazilian income (cash) transfer policies remain controversial, and alternative approaches to income redistribution are being actively considered. This article contributes to this debate, analysing the effects of several alternative policies for income redistribution in the Brazilian economy using a computable general equilibrium model. Simulations were conducted consistent with the following policies: direct transfer of income, reduction of taxes, and incentives to agricultural exports. The results suggest that transfer of income is the most effective in promoting redistribution of income, with a positive impact on the level of welfare of the poorest households.     

A process capability index with reliable confidence intervals

A well-know process capability index is slightly modified in this article to provide a new measure of process capability which takes account of the process location and variability, and for which point estimator and confidence intervals do exist that are insensitive to departures from the assumption of normal variability. Two examples of applications based on real data are presented.     

Looking for max-semistability: A new test for the extreme value condition

To test the extreme value condition, Cramér-Von Mises type tests were recently proposed by Drees et al. (2006) and Dietrich et al. (2002). Hüsler and Li (2006) presented a simulation study on the behavior of these tests and verified that they are not robust for models in the domain of attraction of a max-semistable distribution function. In this work we develop a test statistic that distinguishes quite well distribution functions which belong to a max-stable domain of attraction from those in a max-semistable one. The limit law is deduced and the results from a numerical simulation study are presented.