Social Indicators Research最新文献

COVID-19 disrupted both social and economic development in several dimensions. Governments of the vast majority of countries implemented strategies to battle the pandemic and its negative consequences. The question is, which countries can be assessed as successful in that matter? In this study, we use empirical tools to investigate which governmental actions and state characteristics appear proper, as reflected by pandemic misery indices. The results of our study imply that fiscal measures taken solely are not enough to confront the negative outcome of the pandemic. Interestingly, a strong rule of law, high government effectiveness, and low corruption seem to help countries get through COVID-19. These conclusions may be useful for policymakers in the context of the current and future negative shocks.

Working with SEM and cross-sectional data, and depending on the studied phenomenon, assuming an acyclic model may mean that we obtain only a partial view of the mechanisms that explain causal relationships between a set of theoretical constructs, given that variables are treated as antecedents and consequences. Our two-step approach allows researchers to identify and measure cyclic effects when working with cross-sectional data and a PLS modelling algorithm. Using the resources and appropriation theory and the sequential model of internet appropriation, we demonstrate the importance of considering cyclic effects. Our results show that opportunities for physical access followed by digital skills acquisition enhance internet usage (acyclic effects), but also that internet usage intensity, in reverse, reinforces both digital skills and physical access (cyclic effects), supporting Norris (Digital divide: civic engagement, information poverty, and the internet worldwide. Cambridge University Press, Cambridge, 2001) social stratification hypothesis regarding future evolution of the digital divide.

This study analyzed how attitudes toward welfare vary or align in Korean society based on the distribution of income and assets. It aimed to identify coalition structures based on income and asset combinations surrounding the current welfare system. The analysis revealed that regardless of income level, groups that have not accumulated sufficient assets are more likely to have positive attitudes when it comes to advocating the expansion of public welfare spending. However, with regard to redistributive policies aimed at addressing social vulnerability, it is evident that there is currently no group capable of forming a coalition with the low-income, low-asset group. Therefore, it can be predicted that in the process of reforming the social security system, an approach of universal welfare policies, providing benefits to the majority of citizens, coupled with additional benefits proportional to the taxes paid, may receive high levels of support.

According to the standards set by the International Labour Office, people of working age who have performed some remunerated work during a specified short reference period are classified as employed, regardless of how many hours they have worked, while those who have not been able to work at all (despite wanting to) are classified as unemployed. As observed by many experts in the field, this rigid division between employed and unemployed can conceal labour markets with deeply different characteristics. In particular, the average number of hours worked and, more importantly, their distribution across employees may vary significantly across countries. The aim of this paper is to define fuzzy indicators of employment and unemployment by using the available information on the number of hours worked and the satisfaction or dissatisfaction of workers with this. In this approach, each person in the labour force is assigned a degree of employment between 0 and 1, where 0 means full non-membership in the fuzzy set of employed (and full membership in the fuzzy set of unemployed) and 1 means full membership in the fuzzy set of employed. To show the potentiality of the proposed method, we apply fuzzy measures to Labour Force Survey data from 29 European countries and compare the results with the official employment and unemployment statistics published by Eurostat.

This article explores the relationship between individuals’ satisfaction with their social life and global life satisfaction during periods of economic prosperity and crisis, using data from the Panel of Social Inequalities in Catalonia, Spain (PaD 2001–2012). The study also investigates how this relationship varies across different social origins. Catalonia is a pertinent context due to its significant increase in inequality and unemployment during the 2008 Economic Crisis, positioning it among the most affected regions in Europe. The findings reveal that satisfaction with one’s social life matters for global life satisfaction, even after accounting for individual and macro characteristics. However, contrary to the initial expectations, the study demonstrates that satisfaction with one’s social life becomes less influential for global life satisfaction during the macroeconomic crisis, particularly among individuals from middle and low social origins. Furthermore, while a strong positive relationship exists between satisfaction with one’s social life and global life satisfaction during times of economic prosperity for all social groups, a robust negative relationship emerges in periods of macroeconomic crisis for individuals from high social origins. The article offers several potential explanations for these findings.

Abstract

Increasing clothing (over)consumption, supported by the fast fashion industry, has caused a significant reduction in clothing costs, raised major sustainability challenges, and highlighted the need for engaging in more sustainable consumption behaviour to mitigate the negative environmental, social, and economic consequences. Although green purchase behaviour is now well understood, extant literature still lacks a comprehensive approach to explain consumers behaviour (especially that of the younger generations) with respect to sustainable clothing. Using survey data collected through a structured questionnaire, this study aims to assess whether Generation Z is more inclined to buy sustainable or eco-friendly clothing than Generation Y. Given the non-random selection of respondents, analysis was conducted using propensity score matching to correct for potential bias based on a set of observable confounders. The results show that Generation Z is more likely to buy second-hand clothing, whereas Generation Y is more interested in clothes made of organic and eco-sustainable fabrics.

Studies on social vulnerability have been consolidated as indispensable for understanding the risks of natural disasters, as well as for the constitution of efficient management strategies to face disasters. Using usual methodologies to determine the dimension of risks, this study presents and discusses social vulnerability at the intra-urban municipal scale, in order to contribute to the understanding of sustainability from social factors, besides subsidizing the integration between citizens and managers in a Brazilian case. Information on the criticality of populations and their disaster response capacity was considered, using public data available in a national database. The analysis of the main components and the cartographic representation of the data resulted in 24 variables, aggregated into five dimensions of analysis for criticality, and in 22 variables, which composed seven dimensions for response capacity. As a product of these two dimensions, it was observed that peripheral areas, with low income, lacking infrastructural resources and close to water bodies are the most socially vulnerable. The methodological strategy adopted can be applied at other scales of analysis. It also provides a basis for the design of actions and planning that contemplate the participation of multiple social actors for possible resilience, besides providing an opportunity for discussions on disaster vulnerability as an indispensable variable for urban sustainability.

The “traditional view” on the historical decline of child labour has emphasised the role of the approval of effective child labour (minimum working age) laws. Since then, the importance of alternative key driving factors such as schooling, demography, household income or technology has been highlighted. While historically leading countries such as England and industrial labour have been studied, peripheral Europe and a full participation rate also including agriculture and services have received limited research attention. The contribution of this paper is to provide a first empirical explanation for the child labour decline observed in a European peripheral country like Portugal using long historical yearly data. For doing so, we use long series of Portugal’s child labour participation rate and several candidate explanatory factors. We implement cointegration techniques to relate child labour with its main drivers. We find that not only factors related to the “traditional view” were important for the Portuguese case. In fact, a mixture of legislation, schooling, demography, income, and technological factors seem to have contributed to the sustainable fall of Portugal’s child labour. Hence, explanations for observed child labour decline seem to differ by country and context, introducing a more nuanced view of the existing literature.

This study examines the effects of educational attainment and household income on wealth accumulation in Vietnam using various Vietnam Household Living Standards Surveys (VHLSSs) in 2008, 2018 and 2020. We use the threshold regression to separate households into different groups depending on their assets. We find that owning a university degree is optimal to maximize wealth accumulation for households in 2008. However, post-graduate qualifications are needed for wealth accumulation in 2018 and 2020. For those household heads without a university degree, owning advanced training certificates provides the best opportunity to accumulate household wealth in all three surveys. Besides, our empirical results confirm that household income played no role in wealth accommodation in 2008. Interestingly, household income positively contributes to wealth accumulation for households with assets above the threshold of VND 634.40 m in 2020. However, the effect is negative for households with assets below the threshold of VND 440.25 m in 2018. We also find that households with widowed or divorced household heads are associated with lower wealth accumulation. Another interesting finding is that living in urban areas reduces wealth accumulation for households whose assets are below VND 440.25 m in 2018. These findings largely remain unchanged when Lewbel’s (Lewbel, Journal of Business and Economic Statistics 30:67–80, 2012) instrument variable estimator is used to ensure the robustness of the empirical results.

By means of probabilistic graphical models, in this paper, we present a new framework for exploring relationships among indicators commonly included in the Multidimensional Poverty Index (MPI). In particular, we propose an Ising model with covariates for modeling the MPI as an undirected graph. First, we prove why Ising models are consistent with the theoretical distribution of MPI indicators. Then, a comparison between our estimates and the association measures typically used in the literature is provided. Finally, we show how undirected graphs can complement the MPI policy-relevant properties, apart from discovering further insightful patterns that can be useful for policy purposes. This novel approach is illustrated with an empirical application for the global MPI indicators of Guinea and Ecuador, taking living areas and monetary poverty as covariates, respectively.