Living Near to Attractive Nature? A Well-Being Indicator for Ranking Dutch,Danish, and German Functional Urban Areas

While nature is widely acknowledged to contribute to people’s well-being, nature based well-being indicators at city-level appear to be underprovided. This study aims at filling this gap by introducing a novel indicator based on the proximity of city-residents to nature that is of high-amenity. High-amenity nature is operationalized by combining unique systematic data on people’s perceptions of what are the locations of attractive natural areas with data on natural land cover. The proposed indicator departs from the usual assumption of equal well-being from any nature, as it approximates the ‘actual’ subjective quality of nature near people’s homes in a spatially explicit way. Such indicator is used to rank 148 ‘cities’ in the Netherlands, Denmark, and Germany. International comparability of the indicator is enhanced by the use of a definition of cities as functional urban areas (FUAs), which are consistently identified across countries. Results demonstrate that the average ‘nearness’ of FUA populations to high amenity nature varies widely across the observed FUAs. A key finding, that complements insights from existing city-level indicators, is that while populations of FUAs with higher population densities may live relatively far from nature in general, they also live, on average, closer to high-amenity nature than inhabitants of lower density FUAs. Our results may stimulate policy-debates on how to combine urban agglomeration with access to natural amenities in order to account for people’s wellbeing.     

Child Benefit Portfolios Across OECD Countries

Current research on the cross-national pattern of investment in child benefits mostly adopts the total resources approach and the model family method. The total resources approach conducts a broad comparison of the aggregate expenditure of different types of child benefit across countries. The model family method adds sophistication by comparing the values of child benefit packages of different countries, which combines different levels of spending in each type of child benefit, based on different family types with certain assumed characteristics. To complement the existing approaches, this study uses cluster analysis to classify countries into groups of similar investment strategies by simultaneously counting the different types and levels of child benefits of all countries. The findings show that four types of child benefit investment portfolio, namely Active, Moderate, Conservative, and Minimal, can be identified across OECD countries. While some studies have focused on the effects of individual types of child benefit on child outcomes, little is known about the effects of child benefits as a whole. The pattern of child benefits as investment portfolios could serve as a basis facilitating further investigation into its relationship with child outcomes. Preliminary findings indicate that child poverty, health, and satisfaction with school life differ significantly across investment portfolios, especially Active Investment outperforms Minimal Investment consistently.     

Skills Heterogeneity Among Graduate Workers: Real and Apparent Overeducation in the Spanish Labor Market

This paper takes account of skills heterogeneity among workers with a higher education degree and proposes a new measure to differentiate between real and apparent overeducation based on the level of cognitive skills actually achieved by the individuals. This proposal is applied to the study of the wage effects of overeducation in the Spanish labor market using data from PIAAC. The results suggest that between a quarter and a half of the graduate workers who appear to be overeducated in the Spanish labor market could be considered as being only apparently overeducated since they show a lower level of skills than that corresponding to their educational level or, alternatively, a level of cognitive skills which is commensurate with their job. Different returns are found for each group of overeducated individuals both when compared with adequately educated peers within a similar level of education (with greater wage penalties for apparently overeducated workers) and when the comparison is done with well-matched co-workers doing a similar job (with a wage premium for real overeducation but no significant returns for apparently overeducated workers). These different returns by skill levels beyond what overeducation measures implies that the market distinguishes between education and skills and that educational attainment per se does not perfectly align with acquired skills, meaning that traditional measures of overeducation would overstate the actual level of skills mismatch in the labor market.     

Modeling Comprehensive Dispersion of the Administrative Villages and Its Association with Economic Poverty: A Case Study from Poverty-Stricken Mountainous County,China

Identifying the dispersion of the administrative villages is one of prerequisites for the rational allocation of sources and services during implementing “Entire-Village Advancement” poverty alleviation strategy of China. From the perspective of an administrative village scale, this paper develops a methodology serving the construction of a comprehensive dispersion evaluation model and the examination of the relationship between dispersion and economic poverty. Specially, we develops an village-level comprehensive dispersion evaluation model that is presented in two forms of Euclidean Dispersion Index (EDI) versus Dispersion Composite Index (DCI), using spatial statistical analysis to examine the comprehensive dispersion of the administrative village and its association with the Net Income of Village Residents (NIVR) under different geographic and socioeconomic conditions. The case study in Neixiang County of China shows that, DCI is more rational and objective than EDI for scoring details of the village’s dispersion, especially in the mountainous area; DCI has a more significant spatial autocorrelation and a more significantly negative relationship to NIVR than EDI; the negative correlation between DCI and NIVR is obviously stronger in mountainous area than that in the hill and plain area; The closer to the economic circle, the higher NIVR vs. the lower DCI. Which not only provides new perspective and way to deal with dispersion, but also helps guide policies for effective poverty interventions.     

Analyzing the Effects of Negative and Non-negative Values on Income Inequality: Evidence from the Survey of Household Income and Wealth of the Bank of Italy (2012)

Generally, inequality indices play a basic role in the analysis of welfare economics, also appearing as technical tools applied to income data. A good deal of findings in this research field is provided by the Gini coefficient, typically used for non-negative income values. Even if negative income is often an unfamiliar concept, its presence in real surveys may lead to difficulty in applying the classical Gini-based inequality measures, as they lie outside their standard ranges. In this paper, the more general issue of negative values is considered and a reformulation of the main Gini-based inequality measures adjusted for the problem of negative values is adopted with the purpose of providing theoretical extensions for the income decomposition approach by both income sources and area components. Investigations about the related inferential issues, conducted thorough simulation studies based on resampling techniques, highlight how the traditional approach of removing negative income values may yield different results in terms of inequality estimation, proving that the proposed approach, based on preserving negative values, is the more appropriate practice to follow to avoid the loss of data that really provide a coherent picture of the inequality condition.     

Explaining Accessibility and Satisfaction Related to Healthcare: A Mixed-Methods Approach

Accessibility and satisfaction related to healthcare services are conceived as multidimensional concepts. These concepts can be studied using objective and subjective measures. In this study, we created two indices: a composite healthcare accessibility index (CHCA) and a composite healthcare satisfaction index (CHCS). To calculate the CHCA index we used three indicators based on three components of multidimensional healthcare accessibility: availability, acceptability and accessibility. In the indicator based on the component of accessibility, we included an innovative perceived time-decay parameter. The three indicators of the CHCA index were weighted through the application of a principal components analysis. To calculate the CHCS index, we used three indicators: the waiting time after the patient arrives at the healthcare service, the quality of the healthcare, and the healthcare service supply. These three indicators making up the CHCA index were weighted by applying an analytical hierarchy process. Three kinds of regressions were subsequently applied in order to explain the CHCA and CHCS indices: namely the Linear Least Squares, Ordinal Logistic, and Random Forests regressions. In these regressions, we used different independent social and health-related variables. These variables represented the predisposing, enabling, and need factors of people´s behaviors related to healthcare. All the calculations were applied to a study area: the city of Quito, Ecuador. Results showed that there are health-related inequalities in regard to healthcare accessibility and healthcare satisfaction in our study area. We also identified specific social factors that explained the indices developed. The present work is a mixed-methods approach to evaluate multidimensional healthcare accessibility and healthcare satisfaction, incorporating a pluralistic perspective, as well as a multidisciplinary framework. The results obtained can also be considered as tools for healthcare and urban planners, for more integrative social analyses that can improve the quality of life in urban residents.     

Assessing Changes in Household Socioeconomic Status in Rural South Africa, 2001–2013: A Distributional Analysis Using Household Asset Indicators

Understanding the distribution of socioeconomic status (SES) and its temporal dynamics within a population is critical to ensure that policies and interventions adequately and equitably contribute to the well-being and life chances of all individuals. This study assesses the dynamics of SES in a typical rural South African setting over the period 2001–2013 using data on household assets from the Agincourt Health and Demographic Surveillance System. Three SES indices, an absolute index, principal component analysis index and multiple correspondence analysis index, are constructed from the household asset indicators. Relative distribution methods are then applied to the indices to assess changes over time in the distribution of SES with special focus on location and shape shifts. Results show that the proportion of households that own assets associated with greater modern wealth has substantially increased over time. In addition, relative distributions in all three indices show that the median SES index value has shifted up and the distribution has become less polarized and is converging towards the middle. However, the convergence is larger from the upper tail than from the lower tail, which suggests that the improvement in SES has been slower for poorer households. The results also show persistent ethnic differences in SES with households of former Mozambican refugees being at a disadvantage. From a methodological perspective, the study findings demonstrate the comparability of the easy-to-compute absolute index to other SES indices constructed using more advanced statistical techniques in assessing household SES.     

Students Mobility: Assessing the Determinants of Attractiveness Across Competing Territorial Areas

A central question for education authorities has become “which factors make a territory attractive for tertiary students?” Tertiary education is recognised as one of the most important assets for the development of a territory, thus students’ mobility becomes a brain drain issue whenever there are prevalent areas that attract students from other territories. In this paper, we try to identify the most important factors that could affect student mobility in Italy. In doing that we analyse students’ flows across competing territorial areas which supply tertiary education programs. We will consider a wide range of determinants related to the socio-economic characteristics of the areas as well as resources of the universities in the territories in terms of variety and quantity of the degree programs there available, financial endowments provided by Central Government, and services available to students. The Bradley–Terry modelling approach based on pair comparisons has been adopted to define the attractiveness of competing territories and assess how much the detected divergences can be attributed to factors directly related to the considered characteristics of the universities in the territory and how much is ascribable to inherent characteristics of the areas where the universities are located such as the labour market conditions. Furthermore, the adopted approach allows us to consider uncertainty in defining territorial attractiveness and making comparisons. In this way, we would like to provide some evidences to assess if the rules currently used by the Central Government to finance public universities on the basis of their capabilities to attract students really reward the efforts made by the university system in the area to improve their standard of quality or, on the contrary, reward the territorial features.     

Exploring the Eligibility Criteria of the Child Support Grant and its Impact on Poverty

One of the most important policy objectives in the post-apartheid South African economy is to reduce poverty. Although economic growth and job creation are the preferred sources of alleviating poverty and inequality, social grant spending has contributed significantly to reduce poverty (Van der Berg et al. in Poverty trends since the transition: what we know. Stellenbosch Economic Working Papers: 19/09. Stellenbosch: Stellenbosch University, 2009). Recently proposals were tabled by the Department of Social Development of South Africa (Fin24 in R3.3bn plan to extend child support grant to 21. http://www.fin24.com/Economy/R33bn-child-care-grant-extension-to-21-on-cards-20150316. Accessed August 7, 2015, 2015) to extend the age eligibility of the child support grant (CSG) to 21 years (at the time of writing children aged up to 18 years are eligible). This sparked an interest to investigate the impact on poverty of changes to the eligibility criteria of CSG, as well as its fiscal implications. Using person and household data from the 2010/2011 Income and Expenditure Survey, various simulations are performed to assess the impact on poverty rates and changes to social spending, given the following changes: (1) if all age-eligible children applied; (2) if all beneficiaries received the grant amount for the full 12-month duration; (3) if the age eligibility criterion is extended; and (4) if the monthly child grant income amount is revised upwards. We also examine how changes in the eligibility criteria affect the income distribution.     

Health responses to a wealth shock: evidence from a Swedish tax reform

This paper makes two contributions to the literature on the effects of wealth on health. First, it deals with reverse causality and omitted variable bias by exploiting exogenous variation in inherited wealth generated by the repeal of the Swedish inheritance tax. Second, it analyzes responses in health outcomes through the use of administrative registers. The results show that increased wealth has limited short to medium run impacts on objective adult health. This is in line with what has previously been reported in the literature.