The Concept,Dimensions and Methods of Assessment of Human Well-Being within a Socioecological Context: A Literature Review

The concept of well-being has evolved over the past several decades as research has continued to reveal its multidimensional, dynamic, person-specific and culture-specific nature. Most recently, the ecological embeddedness of well-being has also gained recognition, and this development of the concept demands that we explore and identify new conceptual frameworks and appropriate methodological approaches towards the assessment of quality of life within a socioecological context. This paper offers a review of seminal and current research in the fields of social indicators, human development, ecological economics, and natural resources management, with the aim of examining the concept and the various methodologies designed to assess both the objective and subjective components and the multiple dimensions that comprise well-being. We also present some methodological approaches that have the capacity to account for the role of ecosystem services, considering several studies of rural populations whose well-being depends on the flow of ecosystem services, highlighting the participatory methods these studies employed to identify and assess locally relevant well-being indicators, and addressing some of the challenges inherent in such methods. We conclude with an appraisal of what we regard as the most appropriate methodological approach for measuring human well-being in the socioecological context.     

Capability Approach and Multidimensional Well-Being: The Italian Case of BES

This paper lies within the debate on GDP and beyond and provides an empirical assessment of the Italian equitable and sustainable well-being (BES) as a composite measure of multidimensional well-being. From a policy perspective, the goal is to deliver a reading of the Italian BES able to shed light on its usability. The aim is to offer a suitable method for making the information included in the BES more viable for policy design. To this end, the paper is grounded in an interpretation of the Italian BES through the lens of the capability approach and investigates the relations among BES indicators and life domains. The empirical assessment uses Italian data from the national survey “Aspects of daily life” and applies the Structural Equation Model to estimate several life capabilities and their causal path. Outcomes show the interrelated nature of multi-dimensional well-being and prove the role of exogenous causes in the determination of capabilities. Moreover, the paper provides a final ranking analysis where Italian regions are compared based on their position per capability and income performance. Results confirm, on one hand, the disparity of income and well-being measurements and the importance of multidimensional assessment for human development and, on the other, the importance of focusing on the single components of multidimensional well-being and their interconnections.     

A Measure of Well-Being Across the Italian Urban Areas: An Integrated DEA-Entropy Approach

In recent years, there has been an increasing proliferation of initiatives focusing on the concept of quality of life and well-being. At the centre of these studies there is the recognizing that the GDP offers only a partial perspective of factors affecting people’s lives. Following this line of the research, this paper is aimed at computing the well-being efficiencies of a sample of Italian Province capital cities, using a methodological approach that combines data envelopment analysis (DEA) with Shannon’s entropy formula. To avoid subjectivity in choosing a representative set of variables that proxy the phenomenon under study, we rely on the theoretical framework adopted by the Italian National Institute of Statistics (ISTAT) within the equitable and sustainable well-being (BES) project. The dashboard of indicators included in the analysis are related to the Ur-BES initiative, promoted by ISTAT to implement the BES framework at cities level. In a first step of the analysis, an immediate focus on separate dimensions of urban well-being is obtained by summarizing the plurality of available indicators through the building of composite indices. Next, the adopted integrated DEA–Shannon entropy approach has permitted to increase the discriminatory power of DEA procedure and attain a more reliable profiling of Italian Province capital cities well-being efficiencies. The results show a marked duality between the Northern and Southern cities, highlighting important differences in many aspects of human and ecosystem well-being.     

Measuring and Monitoring Poverty and Well-Being: A New Approach for the Synthesis of Multidimensionality

The aim of this paper is to introduce a new approach for the synthesis and analysis of multidimensional poverty and well-being indicators. Our general perspective is inspired by the theoretical foundations of the capability approach and sustainable human development paradigm. The new synthesis of indicators aims at monitoring outcomes of units of interest. Its defining features include: full sensitiveness, continuity, flexibility in substitution between dimensions, and the straightforward interpretation of the results. All these properties are obtained through a transparent and accountable process that is fully open to public scrutiny and reason (as suggested by Amartya Sen). The main contribution of this approach is that the degree of substitutability between dimensions can be directly linked to the general level of well-being of a person, which addresses the so-called “inescapable arbitrariness” issue discussed by Anand and Sen (Concepts of human development and poverty: a multidimensional perspective. Human Development Papers. UNDP, New York, 1997). The new synthesis proposed opens up new possibilities for different types of applications, including monitoring and evaluating development programmes.     

Time in the Development of Indicators on Sustainable Wellbeing: A Local Experiment in Developing Alternative Indicators

This paper is a theoretical and methodological study on the topics of distribution of and competition between time spans dedicated to social activities in the development of sustainable well-being indicators. This article seeks to answer the following question: why and how should we take into account social time in the development of alternative indicators? To bring to light the complex relationship between well-being, sustainability and people’s relationship to time, this article draws on an experiment aimed at developing Regional Sustainable Well-being Indicators (Indicateurs de Bien-être Soutenable Territorialisés—IBEST), which took place in the Grenoble urban area. This experiment was based on two methodologies; the first one being a quantitative survey, and the second one being a series of qualitative interviews coupled with a participatory approach. One of the datasheet indicators developed following this methodological crossover is the activity times balancing indicator, which allows us to take into consideration the pressure affecting time spent on social activities (work, leisure, families and civic engagement).     

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.     

Measuring Well-Being Over Time: The Adjusted Mazziotta–Pareto Index Versus Other Non-compensatory Indices

Most of the socio-economic phenomena such as development, well-being, and quality of life have a multidimensional nature and require the definition of a set of individual indicators to be properly assessed. Often, individual indicators are summarized and a composite index is created. One of the main problems in constructing composite indices is the choice of a method which allows time comparisons. In this paper, we consider the Adjusted Mazziotta–Pareto Index, a non-compensatory composite index used by the Italian National Institute of Statistics for measuring “Equitable and Sustainable Well-being” in Italy. An empirical comparison with some traditional non-compensatory indices is presented and an Influence Analysis is, for the first time, performed in order to assess the robustness of the index.     

Children’s conceptualisation(s) of their well-being

This paper describes the process and some findings of a collaborative project between the New South Wales Commission for Children and Young People and researchers at the Social Justice and Social Change Research Centre, at the University of Western Sydney. The project was designed to inform the Commission in implementing its legislative mandate to develop a set of well-being indicators to monitor children's well-being over time. Placing children centrally as research participants was fundamental to the methodological approach of the project in which children's understandings of what contributes to their well-being were explored through qualitative methods. We discuss the epistemological and methodological approaches used in the project, in the context of other, earlier research towards the development of children's well-being indicators. Some of the early findings from the collaborative project are outlined and an example given of the way in which knowledge produced by a research approach which places children centrally, differs from and is similar to knowledge produced by more traditional child social indicator research. The paper ends with a discussion of some of the implications and challenges posed by reflecting on the research process and early findings from the research.     

Composite Indices of Development and Poverty: An Application to MDGs

The measurement of development or poverty as multidimensional phenomena is very difficult because there are several theoretical, methodological and empirical problems involved. The literature of composite indicators offers a wide variety of aggregation methods, all with their pros and cons. In this paper, we propose a new, alternative composite index denoted as MPI (Mazziotta-Pareto Index) which, starting from a linear aggregation, introduces penalties for the countries or geographical areas with ‘unbalanced’ values of the indicators. As an example of application of the MPI, we consider a set of indicators in order to measure the Millennium Development Goals (MDGs) and we present a comparison between HDI (Human Development Index) methodology, HPI (Human Poverty Index) methodology and MPI.     

A Comparison of the Well-Being of Agricultural and Non Agricultural Households Using a Multicriterial Approach

The territorial approach of rural development requires taking into account economic, social and environmental features. Therefore, among the goals of the rural development policy the well-being of the target population cannot be disregarded. However, well-being is a multidimensional phenomenon and its measure could be complicated since many indicators (with different scale, units of measure, burden, trends) have to be estimated and analyzed. With a composite indicator which summarizes a bulk of information this concern can be overcome. A multicriteria approach of aggregation is proposed because cardinal aggregation involving in undesirable compensatory property.     

Childhood and Capability Deprivation in Germany: A Quantitative Analysis Using German Socio-Economic Panel Data

Child poverty has been widely discussed in Germany since the publication of the third official Poverty and Wealth Report of the German government in 2008 which—inter alia—focused on the situation of children and families. However, child poverty is not only caused by low household incomes and impacts of child poverty are not only restricted to financial consequences. The capability approach takes into account this multidimensionality of well-being and poverty of children. It conceptualizes human well-being as not only depending on financial means but also gives the same importance to the personal and social conversion factors which determine how far financial means can be converted into personal well-being. Before 2008 the capability approach had only been applied to the well-being of adults in Germany, but not specifically to the well-being of children. However, there are several reasons why a capability analysis for children will differ from a capability analysis for adults. Adults’ capability sets comprise dimensions that are less relevant for small children while other valuable capabilities have to be added. Furthermore the capability set depends to a large extent on the age of the child. The paper focuses on a multidimensional poverty analysis in the capability perspective of 5–6 years old children. In the domains of “Education/Leisure”, “Health”, “Social Participation” and “Income” child poverty is measured by predefined indicators. The relationship to the social and personal conversion factors of the caretakers is then evaluated. Additionally, a multidimensional poverty measure is analyzed.     

Synthetic Indicators of Quality of Life in Europe

For more than three decades now, sociologists, politicians and economists have used a wide range of statistical and econometric techniques to analyse and measure the quality of life of individuals with the aim of obtaining useful instruments for social, political and economic decision making. The aim of this paper is to analyse the advantages and disadvantages of three possible methodologies for obtaining synthetic indicators for the area of welfare and quality of life. These methodologies are Principal Components Analysis, Data Envelopment Analysis and Measure of Distance P₂. Furthermore this paper analyses quality of life in the European Union (EU), as a methodological exercise to demonstrate the principles of calculation, implications and differences between the three indicator-construction approaches. This analysis is particularly useful in a scene like the EU, immersed in a deep transformation process and with profound cultural, economic and social inequalities. Therefore, an analysis of the quality of life and well-being of its inhabitants can play a major role in ironing out such differences.     

Mapping Patterns of Multiple Deprivation and Well-Being using Self-Organizing Maps: An Application to Swiss Household Panel Data

The aim of this paper is to propose multidimensional measures of deprivation and wellbeing in contemporary Switzerland, in order to overcome the limitations of standard approaches. More precisely, we have developed self organising maps (SOM) using data drawn from the 2009 Swiss Household Panel wave, in order to identify highly homogeneous clusters of individuals characterized by distinct profiles across 44 indicators of deprivation and well-being. SOM is a vector quantiser that performs a topology-preserving mapping of the k-dimensional input data to a two-dimensional, rectangular grid of output units, preserving as much as possible the information contained in the original input data. “Topology-preserving” means that, when an SOM is properly developed, units that are close in the output space are also close in the input space. Our results suggest that the SOM approach could improve our understanding of complex and multidimensional phenomena, like those of well-being, deprivation, vulnerability, that show only a partial overlapping with standard income poverty measures.     

Indicators of child well-being through a neighborhood lens

Adverse child outcomes tend to be concentrated in neighborhoods with constellations of adverse conditions and risk factors. This paper examines the challenges of developing meaningful and useful indicators of child well-being at the level of the neighborhood. Recent technological advances have made it more feasible for communities to develop neighborhood indicators, but there are a number of practical, conceptual and methodological challenges that are involved in this work. In this article, we discuss the potential usefulness of neighborhood indicators, several of the conceptual and methodological challenges and offer some illustrations of neighborhood indicators that are pertinent to the well-being of children. In addition to administrative data, we discuss indicators of child well-being rooted in both child and adult perceptions of neighborhood.     

The Relationship Between Social Support, Loneliness, and Subjective Well-Being in a Spanish Sample from a Multidimensional Perspective

The aim of this study was to investigate the association between social support, loneliness and well-being from a multidimensional perspective for which two structural models are proposed. The study included 2042 participants from Malaga City (Spain) who were aged between 18 and 95 years. For the dimensions frequency of support and satisfaction with support, the results show that partner support, family support, and support from friends, respectively, significantly decrease romantic loneliness, family loneliness, and social loneliness. On the other hand, community support has little effect on reducing social loneliness. Of the three types of support analyzed (emotional, informational and instrumental), emotional support was significantly more effective in reducing loneliness (family, romantic and social) and increasing well-being. Loneliness partially acts as a mediator variable, although it is affected by social support, but at the same time decreases the effects of social support on subjective well-being. The three types of loneliness have a strong negative impact on subjective well-being. Implications of these results are discussed.     

Measurement Assessment in Cross-Country Comparative Analysis: Rasch Modelling on a Measure of Institutional Quality

This paper uses recent multidimensional well-being measurements to examine multidimensional well-being and inequality across the European regions in 2000 and 2014 with the use of eleven well-being indicators from the OECD Better Life Index. We use generalized mean aggregation method with alternative parameters to allow different substitutability and complementarity levels between well-being dimensions, which range between perfect substitutability and some degree of complementarity between the dimensions, to examine well-being and inequality across the European regions. Accounting for the interactions between the well-being dimensions matters for the multidimensional well-being and inequality across the European regions. The results show that the multidimensional well-being across the European regions are relatively lower when the dimensions are more seen as complements compared to the case when they are considered to be perfect substitutes. Furthermore, there is also a higher degree of multidimensional inequality across the European regions when the dimensions are considered to have some complementarity. Changes in well-being dimensions between 2000 and 2014 indicates that multidimensional well-being improved and inequality decreased in the personal and community well-being categories, but remained unchanged in material well-being category across the European regions irrespective of interaction levels between well-being dimensions. Policy implications of these multidimensional well-being indices are also evaluated by using these indices to determine the eligible regions for the European Union structural funds where the number eligible regions shows some variation depending on whether the dimensions are perfect substitutes or more of complements.

     

Addictive Substances,Users’ Health,and the Government’s Perceived Responsibility: French People’s Perspective

This paper uses a semiparametric latent variable transformation model for multiple outcomes to examine the effect of education and maternal education on female multidimensional well-being and proposes a procedure to build a well-being index that is less susceptible to functional form misspecification. We model multidimensional well-being as an unobserved common factor underlying the observed well-being outcomes. The semiparametric methodology allows us to alleviate misspecification bias by combining multiple indicators into a latent construct in an unspecified, data-driven way. Using data from female participants of the 1974–2010 waves of the US General Social Survey, we find that education, intelligence, and maternal education contribute positively to multidimensional well-being. However, the effects of education and maternal education on female multidimensional well-being declined steadily between the mid-1970s and the 1990s, and have not rebounded since.     

How to Integrate Macro and Micro Perspectives: An Example on Human Development and Multidimensional Poverty

When designing indicators of well being attention is focused on its multidimensionality and on aggregation across different dimensions. However, two other aspects need consideration: distribution of each indicator within its dimension (inequality) and joint distribution of individual achievements or—viceversa—of deprivations. Aim of this paper is to suggest a correction to the composite well-being index; correction that takes into account some aspects concerning the joint micro distribution of achievements across dimensions. As an example we correct the human development index by means of the multidimensional poverty index.     

A Weighted Multidimensional Index of Child Well-Being Which Incorporates Children’s Individual Perceptions

It has been a decade since a landmark piece of work on child well-being measurement based on a summary index was developed in the United States, the Index of Child and Youth Well-Being. Several research studies, both in the U.S. and Europe, followed on from this work. Despite these studies’ valuable contribution, scope exists for further improvements at the methodological level. In the present paper we draw the methodological basis for a new, micro-based summary child well-being index in which children’s views on their own well-being assume a central role and distinct weights (based on the children’s perceptions) to each component that is included in the index are used. Based on 914 pairs of responses of Portuguese children and their carers, the newly proposed index was tested vis-à-vis other methodologies. The econometric estimations show that the significance of all potential well-being determinants (e.g., age, school cycle, mother’s and father’s level of education) remains the same across the distinct methods of calculation of child well-being indexes. However, the consideration of subjective components (degrees of importance and weights) allowed to evidence that the most relevant determinants of child well-being are the set of variables related to the child’s parents, namely education and professional status. In particular, when compared to their counterparts, children whose fathers have higher education degrees reveal an increased overall well-being by around 25 %, whereas children whose fathers are unemployed present a decreased well-being by around 11 %.