Asymmetric social protection systems with migration

We study the consequences of the coexistence of different social protection systems on contribution rate levels and migration in a two-country model. Before any migration takes place, the levels of contribution rates are chosen by a representative elected in each country. The migration of each agent depends on her anticipation of other agents’ migrations. We show that the richest agents are attracted to the Bismarckian country. The poorest agents tend to migrate toward one country or the other depending on the Beveridgean country contribution rate. The Beveridgean country can set a higher contribution rate to limit the departures of rich agents.

农村金融发展与经济增长关系的实证研究

运用内生经济增长模型,结合我国农村地区金融和经济的实际情况,采取1981~2008年的时间序列数据,通过向量自回归检验我国农村金融发展与经济增长之间的某种关系,实证检验结果显示:我国农村金融发展与经济增长保持一种长期稳定关系,农村金融发展促进农村经济的增长。农村金融的介入激发了农村经济增长的潜力,收入是影响农村经济增长的主要因素,但是人均收入并不是金融发展的主要因素。农村投资产出比长期保持一个较低的水平,这种低水平状态表明了农村金融发展的薄弱,投资产出比与经济增长呈现负相关,投资量在产出量得比重太小,没有对经济产生影响;农村中的贷存比保持一个良好的状态,农村储蓄的资金更多流向了农村贷款。因此,在发展农村金融时,应该更加注重农村制度的改革,鼓励和支持民间金融的发展,实现农村金融机构和形式多样化,多渠道促进农村贷款量的增加,有效地促进农村金融体系适应农村经济的发展。     

Urban risks due to climate change in the Andean municipality of Pasto,Colombia: A Bayesian network approach

The current trends of climate change will increase people's exposure to urban risks related to events such as landslides, floods, forest fires, food production, health, and water availability, which are stochastic and very localized in nature. This research uses a Bayesian network (BN) approach to analyze the intensity of such urban risks for the Andean municipality of Pasto, Colombia, under climate change scenarios. The stochastic BN model is linked to correlational models and local scenarios of representative concentration trajectories (RCP) to project the possible risks to which the municipality of Pasto will be exposed in the future. The results show significant risks in crop yields, food security, water availability and disaster risks, but no significant risks on the incidence of acute diarrheal diseases (ADD) and acute respiratory infections (ARI), whereas positive outcomes are likely to occur in livestock production, influenced by population growth. The advantage of the BN approach is the possibility of updating beliefs in the probabilities of occurrence of events, especially in developing, intermediate cities with information-limited contexts.     

Predicting Public Corruption with Neural Networks: An Analysis of Spanish Provinces

We contend that corruption must be detected as soon as possible so that corrective and preventive measures may be taken. Thus, we develop an early warning system based on a neural network approach, specifically self-organizing maps, to predict public corruption based on economic and political factors. Unlike previous research, which is based on the perception of corruption, we use data on actual cases of corruption. We apply the model to Spanish provinces in which actual cases of corruption were reported by the media or went to court between 2000 and 2012. We find that the taxation of real estate, economic growth, the increase in real estate prices, the growing number of deposit institutions and non-financial firms, and the same political party remaining in power for long periods seem to induce public corruption. Our model provides different profiles of corruption risk depending on the economic conditions of a region conditional on the timing of the prediction. Our model also provides different time frameworks to predict corruption up to 3 years before cases are detected.     

The uneven geography of research on “environmental migration”

Climate change and environmental hazards affect the entire world, but their interactions with—and consequences on—human migration are unevenly distributed geographically. Research on climate and migration have their own geographies which do not necessarily coincide. This paper critically confronts these two geographies by presenting the first detailed mapping of research in the field of environmentally induced migration. After a brief review of the geography of research on climate change, the paper presents an overview of nearly 50 years of case studies on the basis of CliMig, a bibliographic database of 1193 scientific papers and books on climate/environmental change and migration, among them 463 empirical case studies. We analyze the locations of these case studies, the academic affiliations of their researchers, and the origin of their funding. Mapping the locations of case studies worldwide points toward blind spots in the research and identifies “overstudied” areas. We describe the methodologies used in the studies and present a typology of environmental hazards. Our results show that research on environmental migration is mainly done in countries of the Global South, whereas climate science research in general is focused on countries of the Global North. We contend that the peculiar geography of environmental migration cannot be explained solely by the uneven vulnerability of southern populations to the environment. It must also be understood through the lens of post-colonial and securitization studies as the result of a framing of “environmental refugees” (and refugees in general) as an intrinsically “southern problem” and as a security risk for the North. This paper is an original contribution to the literature on the North-South divide in scientific research and will help to outline future directions of investigation.     

Spatial Analysis of the Relationship Between a Life Quality Index,HDI and Poverty in the Province of Buenos Aires and the Autonomous City of Buenos Aires,Argentina

The study of Quality of Life, Poverty and Human Development shares several elements. Nonetheless, while poverty is a measure of “lack” based on a set of basic need variables (unsatisfied basic needs—UBN), human development index (HDI) is derived from the notion of human capabilities. Quality of Life, however, is a measure of achievement. Our goal is to analyze the degree of spatial correspondence between a life quality index (LQI) and the other indices by using bivariate spatial autocorrelation with its global and local values. The comparison of these three indicators at a municipal level in the province of Buenos Aires and in the Autonomous City of Buenos Aires (the Federal Capital of Argentina) reveals a medium spatial correspondence which leaves room for discussion about the scope and limitations of the indicators. HDI and UBN have a similar spatial configuration while the LQI yields a more fragmented distribution associated to the complexity of its variables, dimension and weights.     

Analysing the Effect of Legal System on Corporate Social Responsibility (CSR) at the Country Level,from a Multivariate Perspective

In this paper, we analyse the effect of coercive isomorphism (legal system) on Corporate Social Responsibility (CSR) at the country level by using the multivariate statistical techniques X-STATIS and HJ-biplot, which allow us to capture the role that these institutional forces play in the evolution and patterns of behaviour regarding the commitment to sustainability. The results evidence that coercive forces have an important influence on the social and environmental commitment of companies. Analysis of the legal system shows that firms located in civil law countries have a greater interest in their CSR practices and in disclosing information than companies in common law countries; the most likely companies to act in a responsible way are those operating in institutional environments with a large and developed legal system oriented towards stakeholder protection. Consequently, our results show that companies operating in countries with similar legal systems adopt homogeneous patterns of behaviour regarding the commitment to sustainability, but their degrees of development are strongly determined by the coercive institutional characteristics.     

Resistance training is linked to heightened positive motivational state and lower negative affect among healthy women aged 65–70

Resistance training (RT) improves overall health, but the psychological effects of RT in healthy old adults have not been tested. The aim of this study was to investigate a sample of 65–70-year-old healthy and physically active women to assess their sense of coherence, health-related quality of life, hope, and affect, before and after taking part in a 24-week RT intervention (N = 14), compared to controls (N = 18). Findings showed a significant increase in hope (p = 0.013) and a significant decrease in negative affect (p = 0.002). Starting RT after age 65 does not appear to negatively impact on women’s psychological health but seems to be associated with important psychological health benefits.     

The male immigrant–native employment gap in Sweden: migrant admission categories and human capital

Journal of Population Research - Despite having a celebrated labor market integration policy, the immigrant–native employment gap in Sweden is one of the largest in the OECD. From a...     

Gaining hope and self-confidence—An interview study of women’s experience of treatment by art therapy for severe fear of childbirth

Background

Fear of childbirth is a serious problem that can have negative effects on both women and babies and to date treatment options are limited. The aim of this study was to elucidate the experience of undergoing art therapy in women with severe fear of childbirth.