Ethical living: relinking ethics and consumption through care in Chile and Brazil

Mainstream conceptualizations of ‘ethical consumption’ equate the notion with conscious, individual, market‐mediated choices motivated by ethical or political aims that transcend ordinary concerns. Drawing on recent sociology and anthropology of consumption literature on the links between ordinary ethics and ethical consumption, this article discusses some of the limitations of this conceptualization. Using data from 32 focus groups conducted in Chile and Brazil, we propose a conceptualization of ethical consumption that does not centre on individual, market‐mediated choices but understands it at the level of practical outcomes, which we refer to as different forms of ‘ethical living’. To do that, we argue, we need to depart from the deontological understanding of ethics that underpins mainstream approaches to ethical consumption and adopt a more consequentialist view focusing on ethical outcomes. We develop these points through describing one particular ordinary moral regime that seemed to be predominant in participants’ accounts of ethics and consumption in both Chile and Brazil: one that links consumption and ethics through care. We show that the moral regime of care leads to ‘ethical outcomes’, such as energy saving or limiting overconsumption, yet contrary to the mainstream view of ethical consumption emphasizing politicized choice expressed through markets, these result from following ordinary ethics, often through routines of practices.     

中泰铁路面临的挑战及对策分析

从英拉政府时期的"高铁换大米"方案到巴育军政府时期的新铁路方案,中泰铁路前后经历了中泰高铁缘起、中泰高铁曲折发展、中泰高铁向中泰铁路转变、中泰铁路发展筹备、中泰铁路发展陷入困境和中泰铁路发展缓慢推进等六个阶段的波折变化.中泰两国关于方案本身的分歧,日本高铁的外部竞争和冲击,以及泰国国内政权更迭频繁等因素是造成中泰铁路一波三折的主要原因.基于对中泰铁路建设"好事多磨"的全面探讨和研究,提出构建政治风险评估和预警机制、创新企业投融资合作模式、加强舆论宣传作用等建议,助力中泰铁路项目平稳推进.     

Housing hardship and energy insecurity among native-born and immigrant low-income families with children in the United States

The costs for rent and utilities account for the largest share of living expenses, yet these two critical dimensions of material hardship have seldom been examined concurrently in population-based studies. This paper employs multivariate statistical analysis using American Community Survey data to demonstrate the relative risk ratio of low-income renter-occupied households with children experiencing ‘rent burden', ‘energy insecurity', or a ‘double burden’ as opposed to no burden. Findings suggest that low-income households are more likely to experience these economic hardships in general but that specific groups are disproportionately burdened in different ways. For instance, whereas immigrants are more likely to experience rental burden, they are less likely to experience energy insecurity and are also spared from the double burden. In contrast, native-born African Americans are more likely than all other groups to experience the double burden. These results may be driven by the housing stock available to certain groups due to racial residential segregation, decisions regarding the quality of housing low-income householders are able to afford, as well as home-country values, such as modest living and energy conservation practices, among immigrant families. This paper also points to important policy gaps in safety net benefits related to housing and energy targeting low-income households.     

陕西省农村中学物理教师校本研修现状的调查研究

本文对陕西省农村中学物理教师校本研修的现状进行调研之后认为，校本研修未得到足够重视、教师发展的内驱力不强、研修内容的适切性不强等是影响校本研修效果的主要原因，并提出应从引导教师进行教学反思、营造良好的环境促进同伴互助、注重专家引领等方面来进一步推进校本研修工作。     

Assessment of study abroad outcomes in Chinese as a second language: gains in cross-cultural adaptability,language contact and proficiency

Participants were 109 American college students studying Chinese in a study-abroad programme in Beijing. Following Kelley and Meyer, intercultural competence was defined as cross-cultural adaptability involving four dimensions (emotional resilience, flexibility/openness, perceptual acuity and personal autonomy) and was measured with a survey. A language contact questionnaire was used to document the amount of time spent on social activities. Language proficiency was measured with a standardised Chinese test. Results revealed that intercultural competence and language contact combined explained 37.7% of the proficiency gains. Language contact had direct effects on proficiency, but intercultural competence had indirect effects, mediated by language contact.     

我国海上油田钻井完井投资测算方法研究

本文分析了我国海上油田钻井完井投资测算的现有方法,针对存在的问题和不足,从内生变量的选择、相关系数、变量的影响程度等方面进行分析研究,提出以作业周期、井深、水深三个因素进行测算的新方法。     

Young adults in the United States and Benin reason about gendered cultural traditions

This study explored emerging and young adults’ reasoning about cultural practices in West Africa. American (Study 1, n = 78, M = 20.76 years) and Beninese (Study 2, n = 93, M = 23.61 years) undergraduates were surveyed about their evaluations of corporal punishment, scarification, and schooling restrictions in conditions where the practices had gender‐neutral or gender‐specified targets. In Study 1, the majority (69%) of American participants negatively evaluated the practices, especially when targets were female. However, the majority (73%) assumed the cultural practices were consensual. In Study 2, the majority (76%) of Beninese participants negatively evaluated the practices, and their evaluations did not vary by gender of the target. Few (10%) Beninese participants assumed the cultural practices were consensual. In both studies, emerging and young adults who initially judged practices positively changed their evaluations with a change in consent.     

A Semiparametric Regression Model for Longitudinal Data with Non‐stationary Errors

Motivated by the need to analyze the National Longitudinal Surveys data, we propose a new semiparametric longitudinal mean‐covariance model in which the effects on dependent variable of some explanatory variables are linear and others are non‐linear, while the within‐subject correlations are modelled by a non‐stationary autoregressive error structure. We develop an estimation machinery based on least squares technique by approximating non‐parametric functions via B‐spline expansions and establish the asymptotic normality of parametric estimators as well as the rate of convergence for the non‐parametric estimators. We further advocate a new model selection strategy in the varying‐coefficient model framework, for distinguishing whether a component is significant and subsequently whether it is linear or non‐linear. Besides, the proposed method can also be employed for identifying the true order of lagged terms consistently. Monte Carlo studies are conducted to examine the finite sample performance of our approach, and an application of real data is also illustrated.     

Small area estimation strategies for large population surveys: a comparison of design and model-based methods

Small area estimation (SAE) concerns with how to reliably estimate population quantities of interest when some areas or domains have very limited samples. This is an important issue in large population surveys, because the geographical areas or groups with only small samples or even no samples are often of interest to researchers and policy-makers. For example, large population health surveys, such as Behavioural Risk Factor Surveillance System and Ohio Mecaid Assessment Survey (OMAS), are regularly conducted for monitoring insurance coverage and healthcare utilization. Classic approaches usually provide accurate estimators at the state level or large geographical region level, but they fail to provide reliable estimators for many rural counties where the samples are sparse. Moreover, a systematic evaluation of the performances of the SAE methods in real-world setting is lacking in the literature. In this paper, we propose a Bayesian hierarchical model with constraints on the parameter space and show that it provides superior estimators for county-level adult uninsured rates in Ohio based on the 2012 OMAS data. Furthermore, we perform extensive simulation studies to compare our methods with a collection of common SAE strategies, including direct estimators, synthetic estimators, composite estimators, and Datta GS, Ghosh M, Steorts R, Maples J.'s [Bayesian benchmarking with applications to small area estimation. Test 2011;20(3):574–588] Bayesian hierarchical model-based estimators. To set a fair basis for comparison, we generate our simulation data with characteristics mimicking the real OMAS data, so that neither model-based nor design-based strategies use the true model specification. The estimators based on our proposed model are shown to outperform other estimators for small areas in both simulation study and real data analysis.