The Paradox of Integration: Work-Integration Social Enterprises (WISE) and Productivist Welfare Regime in Hong Kong

After the Asian Financial Crisis, the government of Hong Kong embraced the model of work-integration social enterprise (WISE) to sustain its facilitative and productivist welfare regime. Using the WISE of Pro-Love for marginalized women as a case study, the article examines the meaning of employment and social disadvantage in the organization. The ethnographic data reveal that while the WISE encourages women to participate in the paid labor market, it constructs employment in the social enterprise as part-time jobs for supplementary family income, restricts the extension of social networks for the female workers, and reinforces the cultural stereotypes of marginalized women. The study reflects on the mechanisms of the project of WISE in the welfare contexts of Hong Kong, and argues that programs targeted at labor participation cannot be automatically translated into reduction of exclusion in other domains. Long-term planning, policy coordination, and social advocacy are necessary to achieve social integration.     

The psychometric and empirical properties of measures of risk preferences

We examine the psychometric and empirical properties of some commonly used survey-based measures of risk preferences in a population-based sample of 11,000 twins. Using a model that provides a general framework for making inferences about the component of measured risk attitudes that is not due to measurement error, we show that measurement-error adjustment leads to substantially larger estimates of the predictive power of risk attitudes, of the size of the gender gap, and of the magnitude of the sibling correlation. Risk attitudes are predictive of investment decisions, entrepreneurship, and drinking and smoking behaviors; are robustly associated with cognitive ability and personality; and our estimates are often larger than those in the literature. Our results highlight the importance of adjusting for measurement error across a wide range of empirical settings.     

Quantifying Economic Dependency

In this paper we compare several types of economic dependency ratios for a selection of European countries. These dependency ratios take into account not only the demographic structure of the population, but also the differences in age-specific economic behaviour such as labour market activity, income and consumption as well as age-specific public transfers. In selected simulations where we combine patterns of age-specific economic behaviour and transfers with population projections, we show that in all countries population ageing would lead to a pronounced increase in dependency ratios if present age-specific patterns were not to change. Our analysis of cross-country differences in economic dependency demonstrates that these differences are driven by both differences in age-specific economic behaviour and in the age composition of the populations. The choice of which dependency ratio to use in a specific policy context is determined by the nature of the question to be answered. The comparison of our various dependency ratios across countries gives insights into which strategies might be effective in mitigating the expected increase in economic dependency due to demographic change.     

Dublin’s Seventeenth Century Parishes and the Quality of Life

Social Indicators Research - The registers of Dublin’s parishes in the seventeenth century provide access to aspects of civic and religious life. In the registers are records of burials,...     

Estimating urban lawn cover in space and time: Case studies in three Swedish cities

Lawns are considered monocultures and lesser contributors to sustainability than diverse nature but are still a dominating green area feature and an important cultural phenomenon in cities. Lawns have esthetical values, provide playground, are potential habitat for species, contribute to carbon sequestration and water infiltration, but also increase pesticides, fertilization, are monocultures and costly to manage at the same time. To evaluate the potential impact of lawns, whether positive or negative, it is of interest to estimate the total lawn cover in cities and its change over time. This is not a straightforward process, e.g., because many lawns are small and covered by trees. In this study we review the existing literature of lawn cover in cities and the different methodologies used for cover estimation. We found both pros and cons with NDVI and LiDAR data as well as manually interpreted aerial photos. The total cover of lawns in three case study cities was estimated to 22.5%. By extrapolating these percentages to all Swedish cities lawn cover was estimated to 2589 km² (0.6% of the terrestrial surface). The approximated total municipal management cost of lawns in all Swedish cities was 910,000,000 USD/ year. During 50 years lawn area almost doubled in relative cover and 56% of them were continuously managed. Since lawns constitute large parts of the urban greenery and are costly to manage it is highly relevant to consider their social, ecological and cultural value compared to alternatives, e.g., meadows with less intensive management.     

Human Development and National Culture: A Multivariate Exploration

We examine the relationship between different aspects of human development and Hofstede’s six dimensions of national culture. Using multivariate regression and canonical correlation analysis, we show that all the dimensions of national culture except masculinity have a significant impact on human development, and that the overall strength of the association between the two groups of variables is a high positive one. In general, the direction of the influence of the national culture variables on economic growth differs from the manner they influence other variables, which reinforces the fact that economic growth does not always translate into true people-centred development. Furthermore, the national culture dimensions do not explain much of the variation in a number of health indicators.     

The Risk of James–Stein and Lasso Shrinkage

This article compares the mean-squared error (or ?₂ risk) of ordinary least squares (OLS), James–Stein, and least absolute shrinkage and selection operator (Lasso) shrinkage estimators in simple linear regression where the number of regressors is smaller than the sample size. We compare and contrast the known risk bounds for these estimators, which shows that neither James–Stein nor Lasso uniformly dominates the other. We investigate the finite sample risk using a simple simulation experiment. We find that the risk of Lasso estimation is particularly sensitive to coefficient parameterization, and for a significant portion of the parameter space Lasso has higher mean-squared error than OLS. This investigation suggests that there are potential pitfalls arising with Lasso estimation, and simulation studies need to be more attentive to careful exploration of the parameter space.     

International Migration,Remittances Inflow and Household Welfare: An Intra Village Comparison from Pakistan

This study explores the financial costs, time involved in migration and benefits at household level. A household survey has been conducted to investigate about characteristics of migrants, transaction costs and sources of financing by which overseas migration is financed. Results of PSM technique explored that overseas migration conveys worthwhile benefits as measured by their total expenditures, food expenditures, non-food expenditures, clothing expenditures, expenditures on pots and pans, expenditures on vehicles and saving levels. Establishment of technical training institutions, creation of micro-finance institutions and enhancing their functioning as well as sensitization about ‘Pakistan Remittance Initiative’ would be some of the policy options in order to tackle with the problem.