The Evolution of Well-Being in Spain (1980–2001): A Regional Analysis

Evaluations of regional welfare conventionally rely on Gross Value Added (GVA) per capita as an indicator of well-being. This paper attempts to re-address the regional welfare issue using alternative indicators to per capita income. With this aim, a database for the Spanish regions (NUTS II) has been constructed for the period 1980–2001 and an augmented version of the United Nations Development Programme (UNDP) Human Development Index (HDI) has been estimated incorporating indicators of health, education and per capita income. The results show that, whereas regional income per capita disparities have remained constant, regional convergence in the Augmented Human Development Index (AHDI) was achieved between 1980 and 2001. None the less, there is no evidence of intra-distributional mobility (leap-frogging) across regions in the AHDI     

Personal Wellbeing Index in a National Cohort of 87,134 Thai Adults

Satisfaction with life correlates with other measures of subjective wellbeing and correlates predictably with individual characteristics and overall health. Social indicators and subjective wellbeing measures are necessary to evaluate a society and can be used to produce national indicators of happiness. This study therefore aims to help close the gap in wellbeing data for Thailand. The specific aims are to: (1) calculate the Thai PWI and domain scores using a large scale sample; (2) examine the level of life satisfaction of Thais when compared to international standards; (3) examine the Thai PWI and domains in relation to demographic, socioeconomic, and geographic characteristics. Our report derives from the findings on the Personal Wellbeing Index (PWI) in a large national cohort of Sukhothai Thammathirat Open University adult students living all over Thailand (n = 87,134). This Thai cohort had an overall PWI of 70.0 on a scale from 0 to 100 which is consistent with Western populations. The ‘spirituality and religion’ domain had the highest average score. ‘Standard of living’, ‘future security’ and ‘achievement in life’ made the largest contribution to overall ‘satisfaction in life as a whole’. These domains also show a positive trend with increasing age, being married, higher income, more education, more household assets, and rural residence. The PWI will be an important tool for policymakers to understand the subjective wellbeing of population groups especially as Thailand is undergoing a political and economic transition.     

The Well-Being of 12 - to 16-Year-Old Adolescents and their Parents: Results from 1999 to 2003 Spanish Samples

This study adopts satisfaction with life as a whole and satisfaction with specific life domains as indicators to analyse the relationships between the well-being of 12 to 16-year-old adolescents and some related constructs such as self-esteem, perceived control and perceived social support. Well-being indicators from a 2003 Spanish sample using an 11-point scale (N = 1,634) are compared with an equivalent 1999 Spanish sample using a 5-point scale (N = 1,618). The different results obtained from the 2003 sample with a Principal Component Analysis (PCA) using a shorter and a longer list of life domains are also discussed. A sub-sample of the adolescents’ results from the 2003 sample are compared with their parents’ answers, using the same well-being indicators. Using a list of 8 life domains, and despite the change of scale used, overall results show no relevant changes in adolescents’ satisfaction with life domains between 1999 and 2003 in Spain and are in agreement with normative data expected from western societies [Cummins: 1998, Social Indicators Research 43, pp. 307–334; Cummins et al.: 2001, Australian Unity Well-being Index (Australian Centre on Quality of Life, Deakin University, Melbourne)]. Adolescents’ overall life satisfaction has been shown to correlate consistently with the other well-being related constructs. However, it clearly decreases with age over the period studied. The results also show that increasing the list of life domains has a major impact on the structure of the results obtained. When we compare results from parents with those from their own child, outstanding differences in well-being appear between generations: few domain satisfaction dimensions show significant correlation between parents and children and more than 20% of the population studied shows high discrepancies in the answers in four domains.     

Measurement of social development: an international comparison

PQLI and HDI are the two most popular measures of development, besides per capita income. Over the years, PQLI appears to be not much in use for regional comparisons, especially after the introduction of HDI. While PQLI considers only the physical variables—adult literacy, life expectancy at birth and infant survival rate, HDI has life expectancy at birth, educational attainment and real GDP per capita (PPP$). PQLI and HDI are similar, the main difference between the two being the inclusion of income in HDI and exclusion of the same from PQLI. In a sense, HDI represents both physical and financial attributes of development and PQLI has only the physical aspects of life. The present author took the lines of PQLI to express development in terms of physical variables and considering development as a multidimensional phenomenon, Ray (1989) [Ray, A. K. (1989). On the measurement of certain aspects of social development, Social Indicators Research (Vol. 21, pp. 35–92). The Netherlands: Kluwer Academic Publishers.] included as many as 13 physical variables to represent social development across 40 countries; no financial variable was included in the construction of composite index, termed as the Social Development Index, SDI. Incidentally, like PQLI, SDI was introduced before HDI. Unlike PQLI and HDI, SDI considers (i) a large number of indicators representing various concern areas and (ii) a set of objective methods for combining the development indicators as a composite index. Ray (1989) has been restated and updated in this article with newer cross-country information. In the present study, SDI has been constructed for over 102 countries, including 21 OECD countries, using 10 development indicators, instead of 13 indicators in the past. Apart from presenting objective methods for combining indicators into SDI, the present study asserts that SDI works better than HDI as a measure of development for an international comparison. The views expressed in the article are those of the author and not of the institution he serves.     

Does globali zation affect human well-being?

The prevailing theorizing of globalization’s influence of human well-being suggests to assess both the favorable and unfavorable outcomes. This study formulates a dialectical model, adopts a comprehensive globalization measure and uses a three-wave panel data during 1980–2000 to empirically test direct and indirect effects of global flows’ human consequences. The outcomes from random effect modeling reveal significant positive impacts of political globalization, whereas economic and social globalization do not generate favorable influences when development level and regional differences are operated as controls. The overall globalization index is found to generate expected favorable influence on an overall human development index. Within developing countries, globalization’s human influence was not as significant as in industrial countries, however. Several hypotheses about globalization’s potential negative effects through increasing societal instabilities and reducing state power and social spending are not supported in analysis. It is concluded that globalization identified by increased global flows and exchanges contributes rather than hampers progress in human welfare.     

Quality of Community Life Among Rural Residents: An Integrated Model

The purpose of this research was to explore the relationships among housing satisfaction, community attachment and community satisfaction and the complex mechanisms involved in predicting community satisfaction among residents in rural communities. The role of housing satisfaction and community attachment in predicting community satisfaction was of particular interest. A structural equation model of community satisfaction was tested with mail survey data drawn from a randomly selected rural sample of 974 households. The results of this study confirmed the influences and mediating role of community attachment and housing satisfaction in predicting community satisfaction. “Spillover” effects from “lower levels of life concerns” (e.g., satisfaction with local services, assessment of current housing conditions) in perceived community satisfaction were found that support previous research (Sirgy and Cornwell in Social Indicators Research 59:79–114, 2002).     

Visual Capacity,Out-of-home Activities and Emotional Well-being in Old Age: Basic Relations and Contextual Variation

This work examined the role of visual capacity in connection with psychological, social network related, and socio-structural predictors of out-of-home everyday functioning and emotional well-being. The results are based on a sample of 1519 community dwelling elderly (55–98 years; mean age 70.8 years), 757 of them were living in urban, and 762 were living in rural regions, half-and-half from East and West Germany. Structural equation modeling supported the hypothesis of robust relations among age, vision, intellectual functioning, out-of-home everyday functioning, and emotional well-being that are largely independent of the regional and societal macro context. In detail, vision mediated the effect of age on out-of-home activities of daily living (ADL/IADL) and leisure activities, while intellectual functioning mediated the effect of vision on out-of-home leisure activities. All effects on emotional well-being were mediated by out-of-home leisure activities. Enriching the micro level model with psycho-social variables (i.e., outdoor motivation and social resources) and an indication of the socio-economic situation (i.e., financial resources) revealed some contextual variations: At this meso level of analysis, social resources contributed less and outdoor motivation contributed more to out-of-home leisure activities in the urban than in the rural sample. Second, outdoor motivation was significantly related to social resources in the urban, but not in the rural sample. Third, financial resources contributed modestly but significantly to out-of-home leisure activities in the East German, but not in the West German urban and rural samples. It is concluded that visual capacity plays a substantial role in a robust micro level model able to predict everyday functioning and well-being. If additional resources adding to the prediction of these outcomes are also taken into consideration in a meso level analysis model, the whole variable interplay becomes more strongly affected by macro contextual variation.     

The Relative Importance of Health

This article seeks to extend Michalos’ [Social indicators research and health-related quality of life (QoL) research. Social Indicators Research, 65, 27–72, 2004] discussion on bridging social indicators research and health-related QoL (HRQoL) research through an examination of (1) the relative importance of satisfaction with one’s own health to another common measure of QoL—Life satisfaction, and (2) the relative importance of health in relation to other major life domains. Using data from two surveys, this article found that individuals may perceive health as most important in relation to other major life domains but satisfaction with one’s own health may not necessarily be the most important determining factor (in relation to satisfaction with other major life domains) of QoL as measured by life satisfaction. These findings support Michalos’ (Social indicators research and HRQoL research. Social Indicators Research, 65, 27–72, 2004) call for caution regarding the interpretation of research results on HRQoL since many HRQoL measures are measures of satisfaction with one’s own health and should not be considered as measures of QoL.     

Summarizing the Effect of a Wide Array of Amenity Measures into Simple Components

A significant issue existing within the rural economic development literature revolves around the difficulty with sorting out the controversy of the effects of amenity activities on rural economic growth. This problem is due to the different ways amenity attributes are linked to regional economic performance. Numerous researchers utilize principal component analysis to compress groups of variables that describe attributes of natural-based amenity and quality of life into scalar measures. While principal components are good at reducing a collection of variables into single measures, they often lack interpretability because they define some abstract scores which are often not meaningful or not well interpretable in practice. We apply the simple component analysis suggested by Rousson and Gasser (2004, Applied Statistics 53, 539–555) to summarize the information in groups of variables into a limited number of simple components and improve interpretability at a modest loss of optimality. Simple components allow us to identify and interpret the effect of attributes that most influence regional economic performance so as to gain better insight into policies to preserve and advance those attributes. The same methodology is appropriate for any social science discipline when there is a need to replace a larger number of multiple indicator measurements with a smaller set.     

The Effect of Antenatal Care on Professional Assistance at Delivery in Rural India

Delivering births in a medical institution or at home with professional medical assistance has been shown to promote safe motherhood and child survival. Yet three-quarters of births in rural India continue to take place at home, most of them without the assistance of any trained health worker. This study examines the role of antenatal care (ANC) in promoting professional assistance at delivery, using data from India’s 1992–93 and 1998–99 National Family Health Surveys (NFHS-1 and NFHS-2). We estimate the effect of number of antenatal care visits (0, 1–2, 3+) on professional assistance at delivery (no assistance, professional assistance at home, delivery in a medical institution), using multinomial logistic regression, controlling for demographic, geographic, and socioeconomic factors, pregnancy complications, and two measures of access to health facilities. The results indicate that, after controlling for other variables (including ANC), pregnancy complications and access to health facilities do not have much effect on assistance at delivery. By contrast, ANC has a large effect, even after all other variables are controlled. The effect of ANC on professional assistance at delivery is larger in South India than in North India, and predicted percentages receiving professional assistance are higher in South India than in North India. A policy implication is that increased antenatal care coverage can be an effective means of increasing professional assistance at delivery, especially delivery in a medical institution.

Measuring and understanding the well-being of South Africans: Everyday quality of life in South Africa

South Africa has a Gini co-efficient of 62, one of the world’s highest (Finmark: Project FinScope 2004 and 2005, FinMark Trust, Johannesburg). Hence, measures of wealth are ubiquitous social indicators in South Africa. However, a growing emphasis in government towards measurable service delivery targets and remedial action to redress the inequalities of our past makes the reliable measurement of people’s quality of life in greater depth in quantitative terms an imperative.We have developed a simple framework to measure people’s quality of life in key domains that extend beyond that simply of wealth, using composite indices to allow progress to be tracked and to make valid comparisons across our diverse population. Termed the Everyday Quality of Life Index (EQLi), it comprises a suite of measures encompassing socio-economic status (with special reference to poverty), urbanisation, health (nutrition, exercise and fitness), stress/pressure, quality of the environment, satisfaction of human needs, connectivity, optimism, subjective well-being (happiness, after Diener and Lucas: 2000, in M. Lewis, J.M. Haviland (eds.), Handbook of Emotions. (2nd ed) (Guilford, New York)), and the overall measure of well-being, the EQLi itself.The initial framework was developed from a structured questionnaire administered to a probability sample of 2000 South African adults in 2002. From this, a 52-item shortlist was derived to create the series of measures. This has been tested and refined in three subsequent annual studies, each of 3500 people across urban and rural South Africa. In 2004, items involving work as well as determining the balance of skills and challenges at work using the concept of “flow” (Csikszentmihalyi: 1990, Flow: The Psychology of Optimal Experience (Harper and Row, New York)) were added.This paper outlines the rationale behind the selection and development of these measures, describes the EQL of South Africans using these and other key measures and concludes with implications for policy-makers and service providers in South Africa. Some marketing implications are also given: there is a growing emphasis worldwide on corporate social investment initiatives and, particularly in South Africa, on community upliftment and development – poverty alleviation and improving the lives of the disadvantaged (“people” rather than “consumers”). Further, people’s well-being affects how they react to marketing activities.     

Regional Heterogeneity of Life Satisfaction in Urban China: Evidence from Hierarchical Ordered Logit Analysis

Given sheer geographic size and unequal regional development, common wisdom may attribute the heterogeneity of individual subjective wellbeing largely to regional disparity in China. Using a hierarchical ordered logit model and the Subjective Survey for Chinese Livelihood Index in 2012, this study however finds that regional factors only account for 3.7 % of total variance of individual subjective wellbeing in urban China. It implies that regional differences are not important for explaining individual happiness though some regional variables are statistically significant. Correspondingly, the Chinese governments should make policies down to individual level to promote people's life satisfaction. Other findings on income and social demographical variables are consistent with the current studies.     

Population Trends in Metropolitan and Nonmetropolitan America: Selective Deconcentration and the Rural Rebound

This study uses revised annual population estimates that incorporate adjustments from the 2000 Census to backcast demographic change for U.S. counties during the 1990s. These data are supplemented with new post-censal population estimates for 2001–2003. We use these data to examine demographic trends in the late 1990s and first years of the new century. Our findings are consistent with a model suggesting that a selective deconcentration of the U.S. population is underway. Our findings also confirm the occurrence of the rural rebound in the first half of the 1990s and a waning of this rebound in the late 1990s. Post-censal data also suggest a modest upturn in nonmetropolitan population growth rates in 2001–2003.     

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.     

Development of Indicators for Family Well-Being in Malaysia

This study was carried out to develop a set of indicators for measuring and reporting the state of family well-being in Malaysia, and subsequently, to produce an Index of Family Well-Being. To build the set of indicators, domains of family well-being and relevant indicators were identified from past studies. Focus group discussions with families, professional groups and NGOs helped to refine the indicators prior to the main study. Using a stratified random sampling design, 2,808 households were identified (a parent and a child aged at least 13 years), making a total sample of 5,616 respondents. Results indicated ten key indicators that can predict family well-being—resiliency, safety, savings, healthy lifestyle, time with family, work-family balance, importance of religion, number of bedrooms at home, debt and child care—supporting the notion of family well-being being multi-dimensional and interconnected. On the basis of the results, a model of family well-being was hypothesized. This model was used to guide the development of the Index of Family Well-being. Confirmatory factor analysis (CFA) was carried out to determine the fit of the model to data. Five domains of family well-being were identified—family relationships, economic situation, health and safety, community relationship and religion/spirituality. The Index of Family Well-Being was calculated using the equal weighting strategy to each of these five domains. This index showed that the current family well-being of Malaysians is relatively high at 7.95 (SD = 1.38) on a 0–10 Likert response format. The findings suggest that family well-being is multifaceted, made up not only of the immediate family relationships and health and safety of its members, but include having adequate income to meet the demands of a minimum standard of living. Currently, the Index that is developed is only in the form of a numerical value reflecting the state of family well-being, but in future, it can be used to track changes in the family from time to time.     

India’s Social Development in a Decade of Reforms: 1990–91/1999–2000

The economic reforms initiated in India in 1991 have brought about visible upliftment of economic conditions of the country. This paper examines if the economic process is associated with an enhancement of India’s social development in equal measure in the reform decade of nineties. Ray (1989) considered thirteen social indicators of India and constructed the country’s social development index (SDI) as a certain weighted average of the selected indicators, for the years between 1950–51 and 1975–76. The present work broadly follows Ray (1989) in tracking the social development in the decade of economic reforms from 1990–91 to 1999–2000. The movement of SDI in nineties has been compared with the movements of India’s per capita income and plan expenditure on the social sector. The results show that though there has been growth in the social sector, it is not by far quite encouraging and perhaps more needs to be done in the social sector. The views expressed in the article are those of the author and not of the institution he serves.     

Predicting Consumption Poverty using Non-Consumption Indicators: Experiments using Indonesian Data

Household consumption expenditure data is crucial for calculating important welfare measures such as poverty headcount rate. However, collecting such data is difficult and cumbersome. As an alternative, we experiment with three methods – consumption correlates model, poverty probability model, and wealth index principal components analysis (PCA) – to predict consumption expenditure and poverty using non-consumption indicators. The purpose is to use these alternatives for rapid monitoring and appraisal of social welfare as an early warning system. We test each method’s performance and find that the consumption correlates model is the best method to predict poverty quickly and relatively accurately. We find that education level, asset ownership, and consumption pattern are the best predictors of expenditure and poverty.     

Theorizing indicators

Policymakers and social theorists have increasingly come to rely on social indicators to guide their decisions and theories. Social indicators are also useful in bridging theory and empirical research as well as the traditional gap between policymaking and social theory. The concept of social indicators covers interpretation of cultural signs, simple statistical measures, and complex statistical indexes related to sets of domains. The article views the development of child well-being indicators as central not only in the social welfare field, but as an indicator of future societal conditions, given that children’s lives are especially sensitive to social change. The paper addresses the development of indicators of children’s well-being, arguing that the expansion of the field, the complexity of new domains and indicators, and the position of children as “being” and “becoming”, they are citizens of the present as well as being socialized for the future, illustrates that the next crucial step for the field is to further elaborate theories and models.     

An Empirical Approach to the Study of Well-being Among Rural Men and Women in Ghana

The paper indicates using community development and sustainable livelihood theories as lenses that well-being indicators vary among societies, especially in developing countries due cultural differences. The study which was carried in three rural communities in Ho Municipality in the Ghana was to show the extent to which men’s and women’s sense of well-being were determined by their local economic, religious, social, and education indicators; all of which were driven by their cultural values. Since men and women placed different values on religious, social, economic, education indicators, the paper discusses that their importance to overall well-being also differs between men and women.     

A Comparison of Alternative Models of Individual Quality of Life for Social Service Recipients

There is considerable debate in the area of individual quality of life research regarding the factor structure of the QOL construct that is focused on the number and composition of QOL factors and domains, and its hierarchical nature. The main goal of this study involve testing by means of confirmatory factor analyses five models that have been pointed out by recent scientific literature: firstly, an unidimensional model; secondly, a QOL model that consisted of eight inter-correlated domains proposed by Schalock and Verdugo (2002); thirdly, a model composed of these eight 1st-order factors and one 2nd- order factor; the forth and five are model with the eight 1st-order factors and three 2nd-order factor that has been denominated in other studies ‘Salamanca model’ and ‘Schalock model’. Data were collected from 3.029 social service recipients from Catalonia (Spain) who completed the GENCAT Scale, an objective QOL questionnaire. The best fit of the eight inter-correlated and 1st order domains was empirically demonstrated. Implications for future research are also discussed.