Social indicators of living conditions in Ireland with European comparisons

This monograph presents data from a nationwide survey of social indicators of living conditions in Ireland. This survey was part of a European Community (EC)-harmonised survey of subjective social indicators carried out in eight EC countries. The survey, the first of two, focussed on people's perceptions of their health, health services, housing, neighbourhood and life in general. Extensive analysis is made of the demographic determinants of a wide range of subjective measures of well-being in all of these life domains. Examination is also made of the predictors of global measures of well-being. Data are presented for Ireland and multi-nation comparative data are also presented throughout. Emphasis is placed on the relationship between objective and subjective social indicators.     

Measuring Subjective Issues of Well-Being and Quality of Life in the European Statistical System

Over the last decades, the European Statistical System has developed many European statistics and indicators to measure social progress and sustainable development. Initially only in a few cases the measuring instruments contained questions on subjective issues. With the adoption of its Communication on “gross domestic product and beyond” the Commission has given an impetus to the development of subjective social indicators. This has led to the establishment of a first set of indicators on quality of life and well-being and to a new instrument (the 2013 EU-SILC ad-hoc module for measuring subjective well-being). This new step in European statistics creates an important potential for researchers to engage in in-depth analysis and for national and European Union policy makers to use the resulting indicators—and in casu subjective well-being indicators—for developing and monitoring policy strategies and programmes.     

Using Both Objective and Subjective Indicators to Investigate the Impacts of Coal Mining on Wellbeing of Host Communities: A Case-Study in Shanxi Province,China

This paper uses both objective and subjective indicators to investigate the impacts of coal mining on the wellbeing of host communities. It also looks at the relationship between these two measurements of wellbeing. Both objective and subjective indicators show that coal mining has no obvious impact on family income, but negative impacts on air quality. Subjective wellbeing indicators also reveal the negative impacts of coal mining on water safety, inflation rate, price of necessities and income disparity. The only positive impact associated with coal mining is the improvement of housing conditions, revealed by only objective indicators. Some objective indicators are good predictors of subjective wellbeing indicators (e.g. income and air quality) using both aggregated data and individual data, others not (e.g. housing and education). The inconsistency between objective and subjective indicators might be attributed to scope issues, scale discordance etc. This paper empirically confirms both sets of indicators are needed when measuring wellbeing, and illustrates approaches to examine the relationship between objective and subjective wellbeing indicators.     

Predictors of satisfaction with housing and neighbourhood: A nationwide study in the Republic of Ireland

The present paper reports results from a nationwide study, based on a representative sample in the Republic of Ireland. It is part of a harmonised study of subjective social indicators which has been carried out in eight member countries of the European Community. The data, which were obtained by survey techniques, are largely subjective or perceptual in nature. However, objective data were also obtained, thus permitting direct comparisons, in many cases, between objective conditions and subjective measures related to housing and neighbourhood to determine which characteristics were most highly predictive of overall satisfaction with housing and overall satisfaction with neighbourhood. In addition, the relationships between housing and neighbourhood variables and more global attitudinal variables (i.e., life satisfaction and anomia) were explored.     

The Development of Official Social Statistics in Italy with a Life Quality Approach

The article covers the main steps of official statistics in the second half of the Nineties through the illustration of the transition from economic oriented official statistics to the quality of life approach. The system of the Multipurpose Surveys introduced in 1993 to give an answer to questions at social level and to provide indicators for social policies, has been developed with a quality of life approach that combines the objective dimension to the subjective one. All dimensions of the social sphere have been analyzed with this approach: health, crime, leisure, work, poverty and deprivation. Sometimes the subjective questions were proxy of the objective situation, such as health and sometimes subjective aspects complemented the objective as in the case of crime and poverty. The history of the Italian official statistics is an example of how it is possible to realize a qualitative leap in social statistics integrating the objective and the subjective dimension.     

Who Settles for Less? Subjective Dispositions,Objective Circumstances,and Housing Satisfaction

In recent years there has been growing interest in individuals’ self-perceptions of their wellbeing on the grounds that these complement well-established objective indicators of welfare. However, individuals’ assessments depend on both objective circumstances and subjective, idiosyncratic dispositions, such as aspirations and expectations. We add to the literature by formulating a modelling strategy that uncovers how these subjective dispositions differ across socio-demographic groups. This is then tested using housing satisfaction data from a large-scale household panel survey from Australia. We find that there are significant differences in the way in which individuals with different characteristics rate the same objective reality. For instance, male, older, migrant, and Indigenous individuals rate equal housing conditions more favourably than female, younger, Australian-born, and non-Indigenous individuals. These findings have important implications for how self-reported housing satisfaction, and wellbeing data in general, are to be used to inform evidence-based policy.     

Social Capital or Social Cohesion: What Matters For Subjective Well-Being?

The theoretical analysis of the concepts of social capital and of social cohesion shows that social capital should be considered as a micro concept whereas social cohesion, being a broader concept than social capital, is a more appropriate concept for macro analysis. Therefore, we suggest that data on the individual level should only be used to analyze the relationship between social capital, social cohesion indicators and subjective well-being and that they do not allow commenting on the level of social cohesion in a society. For this last type of analyses aggregated indicators of social cohesion have to be computed which is not the issue of this paper. Our empirical analysis is based on individual data for Luxembourg in 2008. In general, our results suggest that investments in social capital generate monetary returns (increased income) and psychic returns (increased subjective well-being) even in a highly developed and multicultural country like Luxembourg. When we are adding on the micro level variables representing the economic domain of social cohesion following Bernard (1999), then we observe that this domain also has an effect on income and on subjective well-being. Therefore, we recommend including the economic domain in any future analysis using the concept of social cohesion.     

Empirical indicators of educational equity and equality: A thai case study

The focus of this paper is social indicator reporting, not the development of scientific generalization. This social indicator analysis involves the development of an extensive set of empirical indicators to show the extent of equity and equality of education. Equity and equality are viewed as distinct concepts, each with its own indicators. The set of indicators proposed is applied to Thailand in a case study. Examples of indicators used are (1) the relationship between socioeconomic background and access to preschool education, (2) the relationship between provincial wealth and opportunities for upper primary education, (3) proportion of females in lower primary schools, and (4) degree of equality among provinces in grant per pupil in primary education. The discrepancy ratio is introduced as an indicator to standardize measures of inequality and inequity. This set of indicators shows moderate levels of inequality and inequity in Thailand, with the most serious problems at the preschool, secondary, and higher education levels. Empirical indicators of this type are viewed as critically necessary for governments everywhere to enable them to chart their progress toward greater equity and equality.     

Subjective indices of housing satisfaction as social indicators for planning public housing in Nigeria

This paper argues that successful public housing programmes in Nigeria need to combine objective criteria with subjective indicators of resident satisfaction with public housing. Against the background of an empirical study of two public housing estates in Enugu, it was discovered that a critical mass of occupants felt dissatisfied with the type of housing units provided for them. Using different analytic techniques, the sources of dissatisfaction were highlighted and their planning implications discussed.     

Some new directions for social indicators in the U.S. Department of Agriculture

While there is considerable research activity within the U.S. Department of Agriculture regarding the construction of social indicators, the current data base is not adequate to construct a reasonably complete system of indicators for rural development of other rural policy concerns. It is argued that rural development indicators must be able to sense not only the outputs of social institutions and organizations expressed as programs or policies, but also the impacts of these outputs on human needs. This requires that measures of outcomes or the impact of institutions on individuals, such as those found in studies of subjective estimates of life quality, be incorporated into the rural data base. It is suggested, that some of the expertise and budget allocated to the collection of enumerative data be shifted to the collection of subjective estimates of life quality data tailored to the specific needs of rural development research and policy issues.     

The stability and validity of quality of life measures

Effective social indicators must be stable when individual or societal characteristics are unchanged and dynamic when circumstances alter. Highly reliable measures may be poor indicators because they are insensitive to change. Little evidence is available on the sensitivity or validity of objective and subjective indicators. A lack of panel data has restricted the assessment of the stability of subjective measures. This paper examines longitudinal data on a representative sample of 2162 Canadians interviewed in 1977 and again in 1979. Test-retest correlations of approximately 0.50 were obtained for satisfaction and self-anchoring ladder measures among respondents who reported no significant changes in their lives during the past two years. Correlations were substantially lower, as expected, for those reporting life changes. Comparisons of the absolute values of these subjective indicators show that very little change in quality of life measures occurs when stable circumstances are reported but the indicators rise or fall significantly when situations change with downward adjustments being more dramatic than upward modifications. Positive and negative life events had little effect on overall evaluations of life quality. In general, these findings provide very strong evidence for the stability and validity of subjective indicators over time. These measures, with one exception, were constant in unchanging situations and sensitive to change when it occurred.     

Are there sensible ways to analyze and use subjective indicators of urban service quality?

The application of subjective social indicators to evaluating local governmental services poses problems of interpretation and analysis. For several reasons, higher levels of subjective performance do not necessarily imply that in any other sense service performance is higher. Therefore, it may be erroneous to interpret an indicator such as expressed citizen satisfaction with a service as a measure of the quality of service government actually provides. Comparisons of average satisfaction levels can be especially misleading, as several simple simulation examples illustrate. This paper discusses some of the techniques and assumptions necessary for dealing with these problems, and offers some recommendations for using subjective indicators in local policy analysis.     

Forschungsfeld geografische Kriminalstrukturanalyse

This paper introduces a research interface between urban sociology and criminology, which has experienced a tremendous development elsewhere, but has been neglected as an own scientific field of research in Austria. A ?Geographic crime-patterns analysis“ represents an interesting and germane discipline for both qualitative- and quantitative- oriented social scientists. With regard to comprehensive crime prevention the discussion about the ?future of crime control institutions“ does not only evolve around crime prevention techniques, but also and foremost addresses elaborated methods of crime analysis. A sociological analysis of crime builds on the grounds of criminalistics: Crime hot spots are correlated with socio-demographic and spatial data as social conditions of the lifeworld in order to elaborate a theory of crime-opportunities and finally to inform authorities concerned with public safety. Once the police has realised that they can only guarantee public safety in collaboration with social and housing authorities, they must also accept an approach for a comprehensive analysis of crime statistics with regard to social phenomena. This paper shall present the scientific potential of a geographic analysis of crime.     

Household formation,affordability, and housing policy

Over the past several decades, in Canada as elsewhere, governments have sought to provide decent, affordable housing for every household. However, viewed in aggregate, the size and extent of the affordability problem in Canada may well have worsened. This paper argues that changes in housing affordability are linked to the changing pace and character of household formation and that household formation has been responsive to a variety of public policies generally, and to housing programs in particular. Over the last four decades or so, changes in household formation have reflected policy inducements, price movements and income growth, and the substantial elasticity of demand for separate living arrangements. Even worsening indicators of affordability may actually indicate the success of modern housing policy, although this raises questions about the appropriateness of the measures, about the goals of housing programs, and about the ultimate costs of eliminating the affordability problem.     

A system of social indicators for the CMEA countries and for Hungary

This paper discusses the reasons for the growing demand for social indicators in Hungary and in other European socialist countries. A brief history of the construction of a system of social indicators within the framework of the Council of Mutual Economic Aid is given. The subsystems and the main indicators are described. The present practice and the problems of social classifications used in the social indicator systems and in social surveys are treated. In addition to the existing data sources of social indicators, sample surveys were considered to be necessary to provide a full and detailed view of Hungarian society. In addition to objective indicators, recently, subjective indicators have also been collected.     

Homeownership and Subjective Wellbeing in Urban China: Does Owning a House Make You Happier?

This paper examines the effect of homeownership status on individual subjective wellbeing indicators in urban China using a large nationally representative dataset. It is the first to gauge the relationship between homeownership and individual subjective wellbeing in the setting of China and is also among the few empirical studies concerning developing countries. The results show that the homeownership status does have a strong positive effect on both one’s housing satisfaction and overall happiness in urban China. Even after controlling for housing satisfaction in the equation, the homeownership status still positively affects one’s overall happiness, suggesting that the homeownership status might also contribute to other possible aspects of life satisfaction except for housing satisfaction. In addition, in terms of housing satisfaction, females seem to value much more on owning a house than males, while the subjective benefits of owing a house in large cities seem to be much smaller than in small cities.     

Spatial inequalities in Western cities: A comparison of North American and German urban areas

Since metropolitan areas in North America and Western Europe reflect similar social and economic divisions in society; similar degrees of spatial inequality for social and housing indicators are expected. This proposition was tested for seven cities (four in West Germany, two in the United States and one in Canada) for 1960–61 and 1970–71. Eight of the nine social indicators showed approximately equal inequality scores, once scale differences are controlled. Minority groups in American cities were significantly more spatially concentrated than those in German or Canadian cities. Areas of multiple housing deprivation were more clearly defined in American cities and the populations living in these areas were predominantly minority, old, renters and welfare recipients, a sharp contrast to deprived areas in cities in the other two nations. The German urban social mosaic is becoming more ‘Americanized’ as postwar housing shortages give way to increased homeownership, suburbanization and greater social class segregation.     

The Social Indicators Movement at 50: Onwards in Unity or Divided?

Before we can move forward with new topics in quality of life research, it would be useful to settle a number of issues that have been a source of debate over the last 50 years. Broadly speaking, this leads to seven principles for measuring and describing quality of life: the central focus is on people; quality of life is about more than just economics; a full measurement must incorporate both objective and subjective indicators; quality of life incorporates several dimensions; the outcome must be viewed separately from the determinants; there must be attention for distribution and difference; the domains can be combined into an index (though this is not essential). The main debate is perhaps about whether or not there should be an index. An index is necessary if we wish to give social indicators the same status as economic indicators have through GDP. In my view, that is desirable. Once these principles are established, the agenda for future social indicators research can be shaped using a model-based approach incorporating several recommendations from Land and Michalos.     

Collective preferences as predictors of interstate migration

The comparison of objective and subjective social indicators can be illuminated by comparing their relations to individual choice, of which migration is an important instance. We have replicated for U.S. states Lowry's (1966) regression model of migration among SMSA's, and added an indirect subjective measure of quality of life in each state. This measure is based on a Gallup survey asking respondents about their preferences among states of the United States as places to live. A measure of collective preference for each state, as viewed by outsiders, is constructed from these responses. This new variable increases R ² from 0.798 to 0.828, and is itself predicted with an R ² of only 0.355 by objective variables. Objective indicators of well-being had increased R ² only from 0.762 to 0.798. We conclude that collective preferences — the subjective measure we have used — play an independent part in predicting migration.