Quality of life indicators: A preliminary investigation

Concern over the ‘quality of life’ in the United States seems to have increased proportionally with technological advancement and growth in material wealth. Growing public interest in social, economic, political and environmental conditions has led to the search for indicators which adequately reflect the overall ‘health’ of the nation and its citizens' well-being. This paper developed a systematic methodology for assessing social, economic, political, and environmental indicators to reflect the quality of life in the U.S. Nine indicators, including Individual Status, Individual Equality, Living Conditions, Agriculture, Technology, Economic Status, Education, Health and Welfare and State and Local Governments were compiled from more than 100 variables for 50 states and the District of Columbia. Based primarily on 1970 data, QOL indexes were generalized and the states were rated. Comparisons among similar studies were made and analyses among indicators were also performed.     

Social indicators of youth development and educational performance: A programmatic statement

This paper argues for the use of social indicators, in conjunction with the traditional norm-referenced and criterion-referenced tests, to assess the effects of local educational systems. A conceptual framework for the study of educational performance is presented, interrelating (1) personal resources invested by youth, (2) opportunities for development, (3) developmental behaviors, (4) educational system impacts, and (5) other contextual variables, which together affect (6) progress toward adulthood. Four types of variables and 15 content areas that should be monitored are described, with examples of social indicators for each. Procedures are presented for selecting variables, collecting time-series data, and analyzing and reporting the indicators, relying entirely on existing data sources. Appendices include a data base screening form, a statistic screening form, and a list of United States national, state, county, and city sources of time-series data relevant to youth development and educational performance.     

The Development of the Good Relations Measurement Framework in Britain: A Template for Experiential Social Measurement

This article explores the development of the Good Relations Measurement Framework (GRMF), the first attempt in Britain to create a framework designed to measure how people experience their lives, specifically in relation to their interactions with each other. It provides a reference point for others seeking to construct social indicator measurement frameworks which capture the experiential in the social policy field. In a wider sense, it provides a case study of the use of social indicators within the policy process in the modern polity. The overall objective of the GRMF is to measure the state of Good Relations in Britain. Seven key areas emerged as being crucial for the development of measurement frameworks during the construction of the GRMF. Firstly, a decision has to be taken about the extent to which social measurement frameworks are confined to measurement only or are to have a normative element. Secondly, a working definition of the subject area is needed early in the process. Thirdly, an element of consultation with the public is important. A fourth issue relates to the practical method of construction through the use of ‘long lists’ of potential indicators, and finding a balance between an ‘ideal’ list of potential indicators emerging from public consultation and a second list of existing indicators drawn from existing surveys. A fifth issue relates to the availability of social indicator data at an appropriate geographical level. A sixth issue is that social indicators drawn from different surveys are not always comparable. A final factor is that while quantitative indicators are useful as a tool of social measurement, qualitative research adds a further dimension which is especially important in particular circumstances.     

Social Health Indicators and Economic Growth: Evidence from East Asia and Pacific,Middle East and North Africa,South Asia,and Sub-Saharan Africa

The objective of this study is to empirically investigate a two-way statistical relationship between the social health indicators and economic growth in the context of four major regions of the world i.e., East Asia and Pacific, Middle East and North Africa (MENA), South Asia and Sub-Saharan Africa. To recognize the relationship between the two variables, a time series, co-integration and Granger causality tests have been employed. Aggregate secondary data pertaining to these four regions from 1975 to 2011 on economic growth and social health indicators i.e., infant mortality, child abuse, child poverty, unemployment, weekly wages, health insurance coverage, teenage suicide, teenage drug abuse, high school dropouts, poverty, out-of-pocket health costs, homicides, alcohol related traffic fatalities, food insecurity, income inequality, HIV/AIDS, tuberculosis, basic health units and rural health centers has been used for analysis. This study evaluates four alternative but equally plausible hypotheses, each with different policy implications. These are: (1) social health indicators Granger cause economic growth, (2) economic growth Granger cause social health indicators (the conventional view), (3) There is a bi-directional causality between the two variables and (4) Both variables are causality independent (although highly correlated). The empirical results only moderately support the conventional view that economic growth has significant long run casual effect on social health indicators in East Asia and Pacific, MENA, South Asia and Sub-Saharan Africa. The present study find evident of unidirectional causality running towards economic growth to social health indicators, although, there are some bidirectional causality also exists between the variables. The percentage of unidirectional causality between economic growth and social health indicators is larger than bidirectional or neutrality hypothesis.     

Measuring World Better Life Frontier: A Composite Indicator for OECD Better Life Index

The OECD Better Life initiative recently released a comprehensive set of 11 indicators of well-being covering a group of countries. Each individual indicator corresponds to a key topic that is essential to well-being. However, the problem of aggregating them is left to users of this dataset. Using these as individual indicators, we propose a composite indicator of overall well-being, which is intended to measure the performance of each country in terms of providing well-being to its people. The ‘benefit of the doubt’ approach (BOD), a well-known aggregation tool based on a weighed sum, assigns the most favourable weights for each entity under investigation. BOD may also be considered to evaluate the performance of each entity in terms of its efficiency. Regarding individual indicators as outputs, it constructs the benchmark production frontier from observed individual indicators. A composite indicator based on BOD equals the distance between each entity’s individual indicator and the production frontier, indicating its efficiency. It is widely considered that the well-being of a country’s people stems from its productive base, which is characterized by capital assets and social infrastructures. Thus, the productive base can be considered the input used to produce well-being, which is reflected by individual indicators. Therefore, when we apply BOD to aggregate individual well-being indicators across countries, we implicitly assume that all countries have the same productive base, as BOD addresses only the output and neglects the input. This inaccurate assumption leads to a distorted performance measure. Data envelopment analysis (DEA), in which BOD has its roots, is a tool to measure the efficiency of each entity by allowing for differences in inputs as well as outputs across entities. DEA also measures efficiency by using the distance to the production frontier; however, unlike BOD, DEA constructs the production frontier more accurately by utilizing the information of inputs as well as outputs, leading to a better performance measure. We apply DEA to aggregate 11 individual well-being indicators into a composite indicator using the World Bank’s estimates of each country’s productive base. The composite indicator based on BOD is distributed similarly to and is highly correlated with the existing Human Development Indicator (HDI). It is also positively correlated with GDP per capita. On the other hand, we show that the composite indicator based on DEA is negatively correlated with HDI as well as GDP per capita.     

Increasing Foreign Aid for Inclusive Human Development in Africa

In the light of evidence that poverty has been decreasing in all regions of the world with the exception of Africa, where about 45% of countries in sub-Saharan Africa did not achieve the Millennium development goal extreme poverty target, this study assesses whether increasing foreign aid improves inclusive human development. The investigation is on 53 African countries for the period 2005–2012. The empirical analysis is based on (1) the generalised method of moments (GMM) to control for persistence in inclusive human development, simultaneity and time-invariant omitted variables and (2) Instrumental Variable Tobit Regressions to control for simultaneity and the limited range in the dependent variable. The adopted foreign aid variables are: ‘humanitarian assistance’, ‘action on debt’ ‘aid for social infrastructure’, ‘aid to the productive sector’, ‘aid to the multi sector’, ‘aid for economic infrastructure’ and ‘programme assistance’. The following findings are established. From the GMM specifications, there are (1) synergy effects from ‘aid to the productive sector’ and a positive net effect from ‘programme assistance’ and (2) negative net impacts from ‘aid to social infrastructure’ and human assistance, albeit with positive marginal effects. From Instrumental Variable Tobit regressions (1) there is a synergy effect from ‘aid for economic infrastructure’ and (2) there are negative net impacts from ‘aid for social infrastructure’, ‘aid to the productive sector’ and human assistance, albeit with positive marginal effects. Policy implications are discussed.     

Calculating a GPI for Liaoning Province of China

The conventional equation of economic well-being with the gross domestic product (GDP) has dominated policy thinking for at least 50 years. However, a variety of authors have pointed to the social and environmental costs of economic development and called for more comprehensive and more representative measures of progress to be developed. Therefore, a variety of ‘adjusted’ indicators have been developed. The robustness and reliability of these indicators is still a contentious issue. But these attempts raise important questions about sustainable development and pose an important challenge to conventional thinking about the relationship between economic progress, well-being and sustainability. The Genuine Progress Indicator (GPI) is one of the indicators of measuring sustainable development. Apply it to Liaoning Province, this paper evaluates Liaoning’s GPI from 1978 to 2011. GPI, Per Capita GPI and GDP of Liaoning are compared with each other. It is concluded that GDP and Per Capita GDP of Liaoning grow much faster than GPI and Per Capita GPI. Grouped all components of GPI into three categories (economy, environment and Social), it shows that social and environmental development lags behind economic growth in Liaoning. This paper is till now a unique application of GPI indicator in Liaoning and China’s provincial level and also contribution to the continuing development of the methods and results for the Index of Genuine Progress Indicator (GPI). Policy implications are given finally.     

Some neglected social indicators

The attention now being given in the social sciences to time series indicators that measure the ‘Social Health’ of the nation is a most welcome development. Too often, sweeping claims of social change have very little hard supporting evidence. The new trend indicators offer the opportunity for more rigorous analysis of diverse subjects than is often employed in the ‘soft sciences’. Public opinion indicators show a decline in favor for U.S. business which has resulted in Congressional legislation of business, labor reform, restrictions on the environment, consumerism, and inflation. More restrictions can be expected if the social indicators are correct. Political indicators tell us that Republican party loyalty and allegiance have steadily declined since the 1950s and perhaps the ‘emerging Republican majority’ is merely a myth. There are vast implications to be derived from indicators that show the birth rate nearing zero population growth; religion steadily losing influence in America over the past 30 years; and, the youth are far more sober than the rebellious few who draw mass media attention. Social indicators have been very predictive of the future but largely ignored. A clearinghouse is needed to systematically monitor existing social indicators to avoid waste, duplication and downright reglect of important information.     

Does Human Development Index Provide Rational Development Rankings? Evidence from Efficiency Rankings in Super Efficiency Model

The human development index (HDI) rankings have provided a referenced measure for people to choose a country in which to travel or live. This paper employs a superefficiency model to evaluate the rationality of the HDI rankings of 19 evaluated OECD countries in 2009. Compared to the HDI rankings, the efficiency rankings measured by the super-efficiency model have the following two advantages: (1) they consider the inputs that are used to generate the indicators for constructing the HDI, and decide the weights of inputs and outputs endogenously; (2) the input slacks measured by the super-efficiency model can evaluate whether the inputs are over-used and provide the improvement path of each country’s input variables. Empirical result shows that approximately 75 % of the evaluated countries had rather different results in the efficiency rankings and the HDI rankings. Additionally, the input slack shows that roughly 70 % of sample countries over-used their capital per labor relative to their existing outputs (or the HDI).     

Inner Wellbeing: Concept and Validation of a New Approach to Subjective Perceptions of Wellbeing—India

This paper describes the conceptual development of a multi-domain, psychosocial model of ‘Inner Wellbeing’ (IWB) and assesses the construct validity of the scale designed to measure it. IWB expresses what people think and feel they are able to be and do. Drawing together scholarship in wellbeing and international development it is grounded in field research in marginalised, rural communities in the global South. Results from research in India at two points in time (2011 and 2013) are reported. At Time 1 (n = 287), we were unable to confirm an eight-factor, correlated model as distinct yet interrelated domains. However, at Time 2 (n = 335), we were able to confirm a revised, seven-factor correlated model with economic confidence, agency and participation, social connections, close relationships, physical and mental health, competence and self-worth, and values and meaning (five items per domain) as distinct yet interrelated domains. In particular, at Time 2, a seven-factor, correlated model provided a significantly better fit to the data than did a one-factor model.     

Theory and social practice of agency in combining breastfeeding and employment: A qualitative study among health workers in New Delhi,India

BackgroundWomen's agency, or intentional actions, in combining breastfeeding and employment is significant for health and labour productivity. Previous research in India showed that mothers use various collaborative strategies to ensure a “good enough” combination of breastfeeding and employment. Bandura's theoretical agency constructs previously applied in various realms could facilitate the exploration of agency in an Indian context.AimTo explore manifestations of agency in combining breastfeeding and employment amongst Indian health workers using Bandura's theoretical constructs of agency and women's experiences.MethodsQualitative semi-structured interviews were conducted with ten women employees within the governmental health sector in New Delhi, India. Both deductive and inductive qualitative content analyses were used.FindingsBandura's features and modes of agency revealed that intentionality is underpinned by knowledge, forethought means being prepared, self-reactiveness includes collaboration and that self-reflectiveness gives perspective. Women's interviews revealed four approaches to agency entitled: ‘All within my stride or the knowledgeable navigator’; ‘Much harder than expected, but ok overall’; This is a very lonely job’; and ‘Out of my control’.ConclusionsAgency features and their elements are complex, dynamic and involve family members. Bandura's theoretical agency constructs are partially useful in this context, but additional social practice constructs of family structure and relationship quality are needed for better correspondence with women's experiences of agency. The variation in individual approaches to agency has implications for supportive health and workplace services.     

Country-Level Investment in Cultural Opportunity Structures. A Potential Source of Health Differences Between 21 European Countries

Individual’s participation in cultural activities may positively affect health through a pathway mediated by social capital. We examine whether country-level investment in cultural opportunity structures was associated with between-country differences in self-rated health and, if so, whether these associations were mediated by citizens’ confidence in societal institutions, i.e., by institutional trust, regarded as a dimension of social capital. For 24,887 respondents in the European Social Survey, 2006, data on self-rated health, institutional trust (individual-level and country-level), and sociodemographic variables were linked with statistics-based country-level data on 10 indicators of cultural opportunity structures and mediator variables (gross domestic product (GDP), Gini index, and welfare state regime). Over and above the sociodemographics, six cultural indicators contributed to between-country health differences in logistic multilevel regression analysis: the percentage of arts students, the RC index, the percentage of writers and creative artists of total employment, exports of cultural goods, imports of cultural goods, and the number of feature films produced per capita. Controlling, furthermore, for trust, and country-level mediators, only imports of cultural goods contributed to between-country differences in health. No associations with other cultural indicators remained after controlling for GDP or welfare state regime. Institutional trust may partially mediate the significance of cultural investments for self-rated health. However, both cultural investment and trust may be concomitants of general prosperity and welfare policies. Future studies should investigate whether the countries’ welfare policies influence the transformation of cultural investment into institutional trust and which types of indicators best depict associations between investments and health.     

Economic Well-Being in U.S. Metropolitan Statistical Areas

In recent years there has been increased interest from economists and policy makers to measure a nation’s economic well-being. This paper extends this development to US Metropolitan Statistical Areas (MSAs). An economic well-being index is constructed using indicators of income, education, crime, health and pollution. The analysis allows comparison of a MSA with another and with itself over time. The index is not highly correlated with real gross domestic product per capita and therefore adds value to the discussion of economic well-being in MSAs. However, it is shown that the index may violate social choice principles thereby reducing its usefulness.     

Latin American typology: An essay on measuring social discontinuities

The aim of the article is to work out a classification of the Latin-American countries considering economic and social aspects of development. Therefore, it seemed convenient to take the following steps:

1. A critical review of the existing literature on the subject, stressing the theoretical and methodological assumptions on which these constructions are based.
2. A selection and discussion of some social indicators, in particular those usually employed for this kind of task, especially in planning.
3. An analysis of methodological procedures in order to present alternative options which could give better theoretical, methodological and technical results.
4. The classification of Latin-American countries using a quantitative technique based on the combination of a selected set of interval variables which permits the computation of a measure of the distance between cuples of countries.
5. A graphical representation of the ‘profiles’ obtained for each group of countries.
6. Variables not included in this classification and also historical dimensions are introduced in order to explain the different levels of achievement of the socioeconomic goals of the countries and regions.

The quantitative results go hand in hand with the revision of the historical process. For this reason, it seemed necessary to formulate a set of significant structural categories and some tentative hypotheses. These should be tested in more exhaustive studies if one wishes to explain the differential achievement reached by different countries in solving their social problems.     

A Benefit Recipiency Approach to Analysing Differences and Similarities in European Welfare Provision

In comparative welfare state research, the question of how to measure and understand cross-country differences and similarities in extents of public welfare provision has led to a major discussion about the indicators that could be used for this purpose. Much scholarly attention approaching this so-called ‘dependent variable problem’ concentrates on social expenditure or on social rights data as indicators of ‘welfare stateness’ or ‘welfare generosity’. However, recently, micro-level data on benefit receipt as another promising but hitherto underused indicator was brought into this discussion. The article at hand extends existing knowledge about the conceptual, methodological and empirical potentials and challenges of this alternative indicator compared to the two prevailing indicators. For the empirical analysis, it uses cash benefit recipiency data from the EU-SILC to investigate differences and similarities in extents of public welfare provision between 29 European countries for the period 2003–2012. The study reveals parallels to findings from research in which indicators of social expenditure and social rights are applied, but it also adds new insights beyond their cost and paper reality. This is mainly the case where priority is given to household-related assistance benefits rather than individual insurance benefits. The main conclusion of the paper is that the benefit recipiency indicator—despite not being flawless and requiring further research—complements existing knowledge on differences and similarities in welfare provision by European welfare states.     

A Method of Assembling Cross-sectional Indicators into a Community Quality of Life

This study develops a new method of measuring quality of life at the local and state level. Further, it presents a methodology that combines heterogeneous indicators from different fields, such as economics, social, and health, into one total measurement. The technique shown can be used to compare one region with another, or compare one metro area with its own performance through time. The analysis shows which categories and indicators are ranked as the highest and serves as a measurement of economic development and potential targets for marketing plans. Every analyst interested in an aggregate, community measurement tool should be interested in the procedure and results.     

Toward sociomedical health indicators

The various forms of mortality data and biomedical measures of morbidity have become inadequate measures of the level of health in economically developed countries. Measures of functional physical capacity have some advantages but do not reflect physical impairment. Current attempts to develop sociomedical health indicators include: measures of social disability; typologies of presenting symptoms, which have been used to estimate probable needs for care; measures which focus on behavioral expressions of sickness; research based on operational definitions of ‘positive mental health’, ‘happiness’ and perceived quality of life; assessments of met and unmet needs for health care, which are measures of social capacity to care for the sick. Sociomedical indicators reflect both objective conditions and social values. They are policy-oriented, serving as mobilizing agents for sociopolitical pressures concerned with raising the overall level of health of the population.     

Happy life-expectancy

One of the aims of social indicator research is to develop a comprehensive measure of quality-of-life in nations that is analogous to GNP in economic indicator research. For that purpose, several multi dimensional indexes have been proposed. In addition to economic performance, these also acknowledge the nation's success in matters like schooling and social equality. The most current indicator of this type is the ‘Human Development Index’. In this approach QOL is measured by input; the degree to which society provides conditions deemed beneficial (‘presumed’ QOL). The basic problem is that one never knows to what extent the cherished provisions are really good for people. An alternative is measuring QOL in nations by output, and consider how well people actually flourish in the country. This ‘apparent’ QOL can be measured by the degree to which citizens live long and happily. This conception is operationalized by combining registration based estimates of length-of-life, with survey data on subjective appreciation-of-life. Life-expectancy in years is multiplied by average happiness on a 0–1 scale. The product is named ‘Happy Life-Expectancy’ (HLE), and can be interpreted as the number of years the average citizen in a country lives happily at a certain time. HLE was assessed in 48 nations in the early 1990's. It appears to be highest in North-West European nations (about 60) and lowest in Africa (below 35). HLE scores are systematically higher in nations that are most affluent, free, educated, and tolerant. Together, these country-characteristics explain 70% of the statistical variance in HLE. Yet HLE is not significantly related to unemployment, state welfare and income equality, nor to religiousness and trust in institutions. HLE does not differ either with military dominance and population pressure. The conclusion is that HLE qualifies as the envisioned comprehensive social indicator. It has both clear substantive meaning (happy life-years) and theoretical significance (ultimate output measure). HLE differentiates well. Its correlations fit most assumptions about required input, but also challenge some. The indicator is likely to have political appeal.     

What is Most Important: Social Factors, Health Selection, and Adolescent Educational Achievement

This paper explores the relative importance of social factors and health measures in predicting educational achievement in early and late adolescence using population-based administrative data. The sample was made up of 41,943 children born in Manitoba, Canada between 1982 and 1989 and remaining in the province until age 18. Multilevel modeling nests each individual (level 1) within a family (level 2) residing within a neighborhood (level 3). Most important in predicting adolescent achievement were a broad socioeconomic status index (and a narrower measure of household income), being on social assistance, mother’s age at first birth, gender, residential mobility, the presence of ADHD/Conduct disorders, and measures of family functioning (child taken into care or offered protection services and family structure history). Family size, birth order, and newborn characteristics (birthweight, APGAR, gestational age) were statistically significant but of little importance in explaining the outcomes. Both examining regression coefficients and systematically omitting variables showed social factors (often emphasized by epidemiologists) to have markedly greater effects than the combination of health measures (often stressed by economists) in predicting achievement. However, mental health in childhood is identified as among the important predictors. Record linkage across population datasets from health, education, and family services ministries allowed: tracking health and educational attainment at different times in a child’s life, following a large number of cases across childhood, considerable sensitivity testing, controlling for unmeasured family and neighborhood effects, generating an extensive list of predictors, estimating effect sizes, and comparing Manitoba results with those of well-known American studies.     

Whatever Happened to Social Indicators in Africa? Whatever Happened Indeed! A Developing World Perspective on the Kenneth C. Land and Alex C. Michalos Report on ‘Fifty Years After the Social Indicators Movement’

Africa is a latecomer to the Social Indicators Movement. The first social indicators for Third World countries were developed by outsiders and covered almost exclusively topics related to basic needs and development. In response to Kenneth Land’s and Alex Michalos’ historical assessment and their agenda for future ‘social indicators/quality of life/well-being’ research, the commentary traces how South Africa and sub-Saharan countries—with a little help from many friends who are pioneers in the movement—have succeeded in developing their own home-grown social indicators movement. Addressing some of the themes outlined in the agenda that Land and Michalos set for future research, the commentary discusses the importance of monitoring social change occurring in African society in a ‘post-industrialized and much more globalized, and digitized-computerized-roboticized’ era: How will new values and norms impact on the quality of life of future generations of African people?