Materialism in Pedagogy Students in Chile

Many studies have used Richins and Dawson’s (J Consum Res 19: 303–316, 1992) Material Values Scale (MVS), applying it to different types of populations that exhibit a particular psychometric behavior, and showing little stability in their factorial structure. In the present study, 1,070 pedagogy students from the northern, central and southern regions of Chile answered the MVS. This sample was randomly divided in two. Using the first sub-sample (N = 539), an exploratory factorial analysis was carried out, from which a structure of nine items was grouped into two factors called “Social Success” and “Personal Happiness”, which presented adequate reliability. Later, with the second sub-sample (N = 531), the factorial structure indicated above was put to the test through a confirmatory factorial analysis. The data from the model show that the scale contains 8 items in total, grouped into two dimensions. The factorial loads are significant at the level of 1 %, which indicates that the 2-factor structure can be confirmed. Finally—using the proposed structure—the presence of the students’ material values was evaluated.     

中欧气候变化治理利益格局比较及对策分析

全球气候治理关系到世界各国和全人类的共同利益。国家利益决定一国在全球气候治理中的立场,成本与收益的激励决定一国在气候治理的国际合作中的态度。欧盟与中国在气候治理中的不同表现是基于各自在发展阶段、能源结构、贸易结构等方面的国情不同导致的不同的节能减排成本与激励水平。推动全球气候治理需要有效的国际合作,应加强气候问题的科学研究,促进节能减排的技术推广,避免国际合作中的泛道德化和目标过高等倾向。     

非政府组织参与家庭服务与支持的路径分析

非政府组织参与家庭服务与支持,可以实现弥补、协助、引领等积极功能.为了确保非政府组织参与家庭服务与支持的效果,非政府组织应从专业服务、内部治理和沟通公关三个方面加强能力建设.同时不同类别的非政府组织需要在准确定位的基础上发挥各自的优势,探索适合自身的参与家庭服务与支持的路径.     

The impossibility of the Paretian liberal and its relevance to welfare economics

The purpose of this study is to analyse the implications of Sen's impossibility result, the liberal paradox, for orthodox welfare economics. Because the rather special format of social choice theory makes it a little difficult to be sure of the relevance of this result, the whole dilemma is posed here in terms of a rather informal analysis of information al patterns.On the one hand, it is argued that the traditional approach to welfare economics, including both utilitarianism and Paretian ordinalism, contains severe informational constraints eliminating the use of all kinds of independent non-utility information in the social evaluation process. This property, called welfarism, is also present in the weak Pareto principle, which conflicts with even minimal requirements of personal liberty according to Sen's result.On the other hand, it is argued that there is in fact little to be resolved in this problem in spite of several attempts to circumvent the conflict. These studies are argued to be mainly ad hoc solutions to the formal problem and relevant only to the extent they indicate how severe restrictions are needed to avoid the paradox. The analogy with the prisoner's dilemma does not work either. Since liberal values are intrinsically non-welfaristic, the liberal paradox can be interpreted as only one, but a rather powerful, example of the informational deficiency of the orthodox approach.Finally, it is argued that the liberal paradox has striking implications for both the concept of preference and social optimum as well as empirical research on social welfare. This means that if the impossibility is to be taken seriously we need to revalue both the status of utility information and the role of the Pareto principle in social welfare analysis.The author is grateful to Professor Amartya Sen and Matti Tuomala for helpful comments and suggestions.     

Social work is beautiful On the characteristics of social work

Social work is frequently described as a problem-solving activity. Social workers are expected to identify social problems, thoroughly investigate them and take proper measures to solve them. Superficially, this kind of definition is unassailable and harmless (and, of course, partly valid), but in a deeper sense it denies us access to important concepts, perspectives and, hence, possibilities of interpretation, regarding the activity we call social work. Following this line of thought, there is a blind spot in the self-understanding of social work. This article outlines an alternative perspective on social work emphasizing making visible new possibilities of interpretation and action rather than solving problems. In connection with a recently reported research project, Organization and Human Change in Social Work, specific features of social work are suggested and discussed. The aim is to contribute to the development of a theoretical identity of social work, based on its own specific characteristics.     

Ethnicity as a risk indicator for musculoskeletal disease, long consultation times and care utilization A prospective visitor study of 438 consecutive adult consultations of a primary health care centre

This article shows the influence of ethnicity (people born outside Sweden and in Sweden) and social class (socioeconomic class) on the distribution of diagnoses, consultation time and health care utilization in primary health care controlled for sex, age, marital status and educational level. The study was designed as a prospective primary health care utilization study during 7 consecutive weeks. Of a total of 439 adults who lived in the residential area, 290 were born in Sweden and 149 were born elsewhere. The data were analysed unmatched with logistic regression and Poisson regression in main effect models. People born outside Sweden received significantly more diagnoses per consultation than people born in Sweden. The strongest independent risk indicator for musculoskeletal disease was being born outside Sweden, with an estimated odds ratio (OR) of 5.01, 95% confidence interval (CI) = 2.70–8.72. Age over 44 was associated with increased odds for musculoskeletal disease. Respiratory disease, as an indicator of less serious disease, were significantly less common among people born outside Sweden (OR = 0.53, 95% CI = 0.33–0.87). Being born outside Sweden was a risk indicator for consultations longer than 30 minutes (OR = 3.03, 95% CI=1.18–7.43). There were no differences between people born in Sweden and those born elsewhere in health and utilization. Social class was not associated with any of the dependent variables.     

Structural reforms and labor markets in Argentina

Argentina is considered to be one of the most successful cases of structural reforms in Latin America, because of the extent and rapid pace of the reforms after the hyperinflationary process of 1989–1990. At the beginning of 1991, the convertible plan was launched and inflation fell sharply. However, even when the economy is growing fast, the problems in the labor market seem to worsen. Unemployment and underemployment have risen, and an increasing number of people have fallen out of normal work. The article analyzes how changes in labor markets are closely related to the transformation process in the economic system. After a summary of the situation before the crisis of the 1980s, the article analyzes the stabilization plans applied and then discusses the current dynamics of labor markets and the policies implemented to change labor regulations. Finally, some hypotheses about future scenarios are presented.     

Ecosystem services of urban green spaces in African countries—perspectives and challenges

The concept of ecosystem goods and services is increasingly used to describe how biodiversity and ecosystems are linked to human well-being and that it should be placed at the core of sustainable urban development. Predictions of a tremendous future increase of urbanization in Africa necessitate an investigation into the research on ecosystem goods and services in the urban green infrastructure of Africa. Ecosystem goods and services (ES) are described as the benefits humans derive directly or indirectly from ecosystem functions and are classified as supporting, provisioning, regulating and cultural services. A literature study focusing on journal papers was conducted. Additionally a case study based on two masters studies was further refined. ES studies in African cities are biased towards South Africa and include assessments and economic valuations in which several different methods were used to determine direct consumptive and non-consumptive and indirect use values. Emphasis was placed on the multifunctional nature of ES. The main objectives of these studies were to sensitize policy makers, planners and the general public about the importance of biodiversity and ES. Ecosystem-based adaptation is discussed as the most appropriate approach in terms of applying knowledge about ES and their values in African cities as many residents still rely on ES from natural areas, but the major ecological, economic and political challenges are acknowledged. A case study focusing on domestic gardens (private green spaces) have indicated that the demand and supply of certain ES differ along a socio-economic gradient due to poor service delivery and smaller plots in the poorer areas mainly due to the legacy of separate development of the past. Where provisioning services are mainly outsourced in cities, it was found that plant species useful as food, medicine, etc. were more frequent in the gardens of poorer residents than in those of more affluent areas. The tendency to pay more for residential properties close to public open spaces, as in Europe, could not be statistically proven in the more affluent areas of a South African city, although the property values in proximity of public open spaces in some of the areas studied were lower than further away.     

Multilevel regression mixture analysis

Summary.  A two-level regression mixture model is discussed and contrasted with the conventional two-level regression model. Simulated and real data shed light on the modelling alternatives. The real data analyses investigate gender differences in mathematics achievement from the US National Education Longitudinal Survey. The two-level regression mixture analyses show that unobserved heterogeneity should not be presupposed to exist only at level 2 at the expense of level 1. Both the simulated and the real data analyses show that level 1 heterogeneity in the form of latent classes can be mistaken for level 2 heterogeneity in the form of the random effects that are used in conventional two-level regression analysis. Because of this, mixture models have an important role to play in multilevel regression analyses. Mixture models allow heterogeneity to be investigated more fully, more correctly attributing different portions of the heterogeneity to the different levels.