Conceptualising and Measuring Social Cohesion in Africa: Towards a Perceptions-Based Index

Social cohesion is a key concept in development studies. Weak social cohesion is often related to slow economic growth and (violent) conflict. So far few attempts have been made to measure this complex concept in a systematic manner. This paper introduces an innovative method to measure national-level social cohesion based on survey data from 19 African countries. We distinguish three dimensions of social cohesion; i.e. the extent of perceived inequalities, the level of societal trust, and the strength of people’s adherence to their national identity. Importantly, our Social Cohesion Index (SCI) is based on individuals’ perceptions vis-à-vis these three different dimensions of social cohesion rather than certain macro-level ‘objective’ indicators such as GDP/capita or Gini-coefficients. We develop two social cohesion indices: a national average SCI and a Social Cohesion Index Variance-Adjusted (SCIVA); the latter one takes into account the level of variation across different ethnic groups within countries. The SCI and SCIVA are computed for and compared across nineteen African countries for the period 2005–2012 on the basis of Afrobarometer survey rounds 3, 4 and 5. We also investigate quantitatively the relationship between countries’ levels of social cohesion and the occurrence of a range of conflict events. As expected, we find that countries with low levels of social cohesion in a particular year according to our SCI are more likely to experience a range of different violent conflict events in the subsequent year.     

Construction, Validation and Application of the Measurement of Social Cohesion in 47 European Countries and Regions

This paper aims to present a theoretically based, multidimensional and comparable measurement of social cohesion, applicable in 47 European countries/regions using the most recent micro-level data of the European Value Study (EVS) from 2008 that build upon the previous research conducted on the EVS data from 1999 covering 33 countries. The analysis is conducted in five steps. In the first part, we create a set of measurable intermediate indicators that correspond to the social cohesion dimensions suggested by the theory. In the second part, we verify whether these indicators empirically corroborate the multidimensional structure of the concept proposed by the theory. The third part examines whether the obtained intermediate indicators of social cohesion form the same constructs across countries and whether they can yield a cross-country equivalent measure of social cohesion. In the fourth step, composite scores of all dimensions of social cohesion are calculated for all analysed countries/regions. The last step shows a practical application of the obtained indices and compares levels of social cohesion in six broader geographical regions of Europe to demonstrate the applicability of the measurement in comparative research.     

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.     

Health,Quality of Homecare Services and Quality of Life: A Case of Frail Older Immigrant Adults

The theory about missing links of economic growth often lags behind the empirical estimations of such links. A consensus has emerged that ethnic fractionalization has a negative impact on growth, also when controlled for income inequality. Often, although implicitly, the assumed channel is social cohesion. We analyse the effect of fractionalization on social cohesion with a different inequality measure, namely a social measure of inequality: the Inclusion of Minorities Index. Our results indicate that it is social exclusion, which reduces social cohesion, rather than diversity as such. We conclude that future studies of social cohesion and its relation to growth may benefit from using measures of social exclusion next to ethnic diversity.     

Construct Validation and Application of a Common Measure of Social Cohesion in 33 European Countries

The aim of the paper is to assess the construct validation of a multidimensional measure of social cohesion which is well theoretically grounded and has an equivalent/comparable interpretation across all European countries. Up-to-now published research on social cohesion is deficient in either one or both of these important aspects. This paper attempts to cover this gap. The task is accomplished in two steps. In the first step, we conceptualize social cohesion, flowing mainly from Bernard and Chan’s definitions of social cohesion. Based on this theoretical framework we operationalize social cohesion and derive a set of intermediate indicators in the data. By return we verify whether these indicators empirically reflect/corroborate the multidimensional structure of the concept proposed by the theory. In the second step, we examine whether the obtained intermediate indicators of social cohesion form the same constructs across countries and whether they can yield a cross country equivalent measure of social cohesion. To test the validity of the theory we use multidimensional scaling and confirmatory factor analysis. Both models are able to verify the equivalence of the structural results between groups (i.e. countries). Confirmatory factor analysis produces further meaningful measures of these constructs. The analyses are based on the data from the 1999 European Values Study (EVS). The outcomes of the analyses reveal that, firstly, the existence of the multifaceted construct of social cohesion suggested by the theory has been corroborated by empirical analysis of the EVS data (i.e. social cohesion consists of components of formal and substantial relationships and political and socio-cultural domains). Secondly, the proposed constructs measuring social cohesion are equivalent across all analysed countries and thus allow the calculation of internationally comparable national scores of social cohesion. Application of the aggregate measures at the country level will illustrate the interest of the approach for further research.     

Corporate Mobilities Regimes. Mobility,Power and the Socio-geographical Structurations of Mobile Work

Abstract

This article introduces the concept of mobility regimes and points out three discursive dimensions: the normalization, rationalization and time-space-compression of mobility. It concentrates on corporate mobility, business travel and mobile work, and gives a focused overview on current developments in research. Sociology has largely neglected the topic of spatial mobility. Dealings with distance and travel, however, are driving forces for the modernization of modern societies. Economic activity is based on mobility and companies deploy sophisticated mobility regimes to be present in markets. The increase in mobile work brings new issues centre stage such as the control of mobile workers, social cohesion and the spatial complexity of corporate activities. The author theorizes mobile work and business travel as signifiers for social change in the organization of work. He presents theoretical reflections based on empirical work conducted among mobile workers in the IT, mechanical and the chemical industries.     

Estimating Diversity Effects in the Neighborhood: On the Role of Ethnic Diversity and Out-group Size and their Associations with Neighborhood Cohesion and Fear of Crime

This study considers and simultaneously tests the role of ethnic diversity and out-group size in relation to individuals’ perceptions of neighborhood cohesion and fear of crime among natives in Dutch neighborhoods. We challenge the way the impact of diversity has been studied previously and propose an alternative measure to examine diversity effects. This results in a better understanding of how and why the ethnic composition of a neighborhood may impact levels of cohesion and fear, and thereby contributes to the literature on the societal effects of ethnic diversity. In addition, attention is paid to the association between cohesion and fear and whether neighborhood cohesion mediates the relationship between ethnic diversity and fear of crime. We apply multilevel equation modeling techniques to analyze the different relationships and use data of the Dutch Safety Monitor (N?=?71,760) in combination with detailed register data. Our study is one of the first to detect a diversity effect on cohesion based on the modified diversity measure. We do not find support for the hypothesized diversity effect on fear of crime. Lastly, out-group size turned out to decrease cohesion and increase fear.

     

Religious Transformations and Generalized Trust in Sub-Saharan Africa

The social cohesion literature repeatedly criticizes a lack of consensus regarding the theoretical conceptualization of the construct. The current paper attempts to clarify this ambiguity by providing a literature review on the recent approaches. By taking a bird’s eye view on previous conceptualizations of social cohesion we emphasize that in the majority of approaches there is in fact more overlap in the concept than has so far been assumed. In particular, we suggest three essential dimensions of social cohesion: (1) social relations, (2) identification with the geographical unit, and (3) orientation towards the common good. Each dimension is further differentiated into several sub-dimensions. We argue that additional elements identified in the literature (shared values, inequality, quality of life) are rather determinants or consequences of social cohesion, but not constituting elements. Suggestions for future research are discussed.     

Social Cohesion and the Labour Market: Societal Regimes of Civic Attitudes and Labour Market Regimes

The aim of this paper is to test the connections between the indicators used in the literature on social cohesion, which usually reflect ‘general’ values or behaviours, and indicators specific to a particular space, namely the labour market. A key question is the stability of the social cohesion’s indicators when moving from a societal level to the labour market. Based on data from the World Value Survey, and following a restrictive definition of social cohesion, a comparison is done, for European countries. Examination of the situation in the two spheres makes it possible to identify more or less homogeneous groups of countries and also to point to instabilities. ‘Regimes’ of social cohesion begin to emerge. As in most analyses, the Nordic countries (excluding Finland) have high scores in all the dimensions. Conversely, most of the new EU member states from the former Eastern bloc have low scores, particularly in the horizontal dimension of trust between individuals.     

Considering Social Cohesion in Quality of Life Assessments: Concept and Measurement

In recent years, the concept of social cohesionhas received great attention in scientificresearch as well as in politics. It representsa central policy goal at the national and thesupranational level as declared for example bymany policy documents of the European Union.The present paper integrates social cohesioninto the components of quality of life anddistinguishes two essential goal dimensionsinherent in the concept: the inequalitydimension and the social capital dimension. Thefirst dimension incorporates the goals ofreducing disparities, promoting equalopportunities and combating social exclusion,while the second dimension deals with allaspects aiming at strengthening socialrelations, interactions and ties. A proposal ismade on how to measure this conceptualisationof social cohesion within the framework of aEuropean System of Social Indicators, and someexamples of indicators of social cohesion inEurope are discussed.     

Social Cohesion and Living Conditions in the Canadian Arctic: From Theory to Measurement

Social cohesion has emerged as a powerfulhybrid concept used by academics and policyanalysts. Academics use the concept tounderline the social and economic failings ofmodernity, linking it to the decline ofcommunal values and civic participation. Policy analysts use it to highlight the socialand economic inequities caused byglobalization. The desired effect of usingthis concept is often to influence governmentsto implement policies that will enhance socialcohesion by reducing social and economicdisparities. Despite its widespread use,however, statistical measures of socialcohesion tend to overlook local, non-Westernstrategies of social inclusion as well as thesocial impact of non-Western economic systems,such as the mixed economy typical of manyAboriginal communities in North America. Inthis paper, we develop a model of socialcohesion that addresses these omissions throughthe use of social indicators that measure boththe behavior and perceptions of Inuit living inthe Canadian Arctic with respect to the social,cultural and economic conditions of Arcticcommunities. We explain how and why measuringsocial cohesion is optimized by combining bothculturally-specific and non-specific socialindicators.     

Measurement and socio-demographic variation of social capital in a large population-based survey

Objectives The main objective of this study was to describe the variation of individual social capital according to socio-demographic factors, and to develop a suitable way to measure social capital for this purpose. The similarity of socio-demographic variation between the genders was also assessed. Data and methods The study applied cross-sectional data from the national Finnish Health 2000 survey (n = 8,028) which represents the adult population, aged 30 years and over. Several variables indicating social capital were condensed to dimensions on the basis of factor analysis. Participants were categorized into tertiles in each dimension of social capital by means of factor scores. The multinomial logistic regression model was used to produce the adjusted prevalences for the dimensions of social capital according to socio-demographic categories (age, gender, education, living arrangements, income, and type of region). Results Three dimensions of social capital were distinguished: social support, social participation and networks, and trust and reciprocity. Age had an inverse association with social support as well as participation and networks, and a curvilinear association between age and trust and reciprocity, the oldest age groups showing the highest level of trust. Married persons and those in the highest educational and income groups tended to have more social capital than other persons. Residents of urban and rural regions did not systematically differ from each other in their level of social capital although residents of urban regions participated less and showed less trust than people living in semi-urban or rural regions. Social support varied significantly with gender. The decline of social support by age was steeper in women than in men. Social participation and networks increased with education, the gradient appearing steeper among men. The difference between married and cohabiting men was substantial compared to women when it came to trust. Conclusions People who are young, married, educated, and well-off have plenty of social capital. This information might help various services to concentrate the actions on the people in danger of social exclusion. Our results also form a basis for the future by allowing the changes in social capital to be examined over time and over different studies.     

Social Networks,Social Cohesion,and Later-Life Health

Our study contributes to the literature acknowledging the joint role of social networks and social cohesion in shaping individual’s health, focusing on the older population aged 50 and over. Exploiting rich ego-centered social network data from the Survey of Health, Ageing and Retirement in Europe and following the conceptual model of social integration and health proposed by Berkman et al. (Soc Sci Med 51:843–857. doi:10.1016/S0277-9536(00)00065-4, 2000), we estimate multilevel models of self-reported and observer-measured later-life health outcomes. These models simultaneously account for (a) characteristics of 39,551 respondents’ personal social networks and (b) a measure of social cohesion—namely, participation in social organizations—across 57 Continental European regions, clustered in 14 countries. We find significant associations between individuals’ health and various social network characteristics (size, support, quality) as well as social cohesion. Moreover, cross-level interaction effects suggest that the social-network-health nexus is contextually bound. We conclude with a discussion of limitations and perspectives for future research.     

The Correlates of Self-Assessed Community Belonging in Canada: Social Capital,Neighbourhood Characteristics,and Rootedness

This study examines the extent to which a single-item question on sense of community belonging captures the multi-dimensionality of the underlying concept. Many studies use multi-item scales to measure the different dimensions of this concept, but including extensive questions on community belonging in large surveys is often impractical given constraints on survey lengths and budgets. Having an economical and robust measure provides considerable scope for future studies to consider the effects of community belonging without reliance on multi-item scales. Drawing on several large, nationally representative Canadian surveys, the study shows that self-assessed community belonging is a parsimonious measure of a broad range of factors that pertain to local social relations, neighbourhood characteristics, and place attachment. Social capital yields the strongest correlations, and also plays an important mediating role vis-à-vis other variables. However, neighbourhood characteristics (e.g., perceptions of area crime, the built environment) and “rootedness” (e.g., duration of residence in an area) are also significantly correlated with sense of community belonging, independent of individuals’ strength of social capital.     

The Motivation to Volunteer: A Systemic Quality of Life Theory

A new approach to volunteer motivation research is developed. Instead of asking what motivates the volunteer (accepting any conceptual category), we ask to what extent volunteering rewards the individual with each benefit taken from a complete set of possible benefits. As a “complete set of benefits” we use the 16 human functioning modes formulated within the systemic quality of life model (SQOL). Data collected from a large representative sample substantiate the conceptual basis of the approach proposed. Empirical results (by Faceted SSA, a multidimensional scaling technique) support the volunteer-motivation structural hypothesis and highlight the more salient volunteering motivations. Social groups (including volunteers vs. non-volunteers) are compared with respect to their volunteering motivation assessments. The proposed approach sheds new light on theoretical issues, such as the roles of altruism versus egoism in volunteering, and suggests new ways for studying the questions of volunteer recruitment and retention.     

Social Capital in Association with Socioeconomic Variables in Iran

The objective of this study was to determine the various dimensions of social capital in Tehran and its association with socioeconomic variables. Two thousand, four hundred and eighty-four persons participated in the study through multi-stage stratified sampling in Tehran. The study questions were extracted from the World Bank integrated questionnaire. While respondents obtained over 50 % of the attainable scores in the ‘trust’, ‘cooperation’, ‘social cohesion’, and ‘political action’ dimensions, they obtained only 18.9 % of the attainable scores in the ‘networks’ dimension. The respondents in age groups older than 45 had higher trust scores than respondents in the 18–25 age group. Men had higher ‘network’ and ‘social cohesion’ scores than women (p ≤ 0.001). Respondents in the poorest wealth quintile had lower ‘networks’ and ‘social cohesion’ scores than the richest group and ‘political action’ scores higher than the richest group (p = 0.038). The lowest score in ‘Tehranians’ social capital was in the groups and networks dimension. Therefore designing effective interventions for such activities, particularly in women’s groups, is a priority.     

Explaining Unequal Levels of Social Capital in Tehran

Social capital may act as an asset to serve people in various situations. However, people do not equally enjoy the same level of social capital and there is inequality in distribution of this asset in societies. There is few research within the wider literature exploring the determinants of inequality in social capital. This study measured and decomposed inequality in the distribution of social capital in Tehran using a concentration index approach. Data was gathered through a survey in 2008, the sample included 2484 of over 18-year old residents. Social Capital Integrated Questionnaire was used to measure social capital status, its dimensions (networking, trust, and cooperation) and outcomes (cohesion and political action). Most of social capital dimensions/outcomes were unequally distributed in Tehran, favouring the rich. However, in terms of political action, the poor were more politically active than the rich in Tehran. Decomposition showed that economic status and education had the highest contributions to the observed inequalities. In efforts to move towards a more just society, these findings can inform future policies in Iran to tackle the observed inequalities in social capital.     

Measuring Well-Being and Progress

Well-being is becoming a concept which is more and more involved in any world development consideration. A large amount of work is being carried out to study measurements of well-being, including a more holistic vision on the development and welfare of a country. This paper proposes an idea of well-being and progress being in equilibrium with each other. This is distant from the two extreme positions: poor but happy, and rich then happy; too romantic the first, and reductive the second. After a short explanation on the meaning of Objective and Subjective well-being, we show some interesting relations between economic and social variables, and we propose a new index to measure the well-being and progress of the countries: the Well-being & Progress Index (WIP). It includes several aspects of well-being and progress, like human rights, economic well-being, equality, education, research, quality of urban environment, ecological behaviours, subjective well-being, longevity, and violent crime. The most frequently used indexes usually only focus on some aspects, like ecology, or economy, or policy, or education, or happiness, and so forth. On the contrary, this new WIP index allows a global and well-balanced vision, thanks to the large range of indicators used, and how representative they are.     

An Empirical Analysis of the Interrelationship between Components of the Social Quality Theoretical Construct

Social quality has been presented as a theory that can explain economic and social progress of the daily lives of a population. The components of social quality include: socio-economic security, social inclusion, social cohesion and social empowerment. The social quality perspective views people as interacting within collective identities that provide the contexts of self-realisation. The paper tests the social quality theory by focusing on the relationship between social inclusion and social cohesion, the notion of social relations, to socio-economic security using the context of the family as a facilitator of self-realisation. Using data from the Israel Social Survey 2003, six indicators of socio-economic security were analysed. There was a small but positive and significant relationship between social inclusion and socio-economic security. We found no relationship between socio-economic security and social cohesion. These findings tend to undermine those aspects of social quality theory which posit close connections between these elements on a conceptual level.

Active Participation and Well-Being Among the Elderly in Belgium and the USA: A Cross-National Time-Use Perspective

Active participation of the elderly is a recognized response to address the societal and individual challenges of rising life expectancy such as releasing the pressure of age-related public spending, reducing social isolation and improving well-being. How much time older people devote to active participation and whether their time allocation is associated with well-being remains under-investigated. Using time-use data from Belgium (n?=?1384) and the USA (n?=?2133), we investigate the time older people (65–80 years) spent on active participation and examine how this relates to their life satisfaction as an indicator of well-being. The countries vary in the amount of time spent on paid employment and volunteering, but not on informal help. Belgian older people spend much less time on paid employment than their American counterparts. This implies more are available to volunteer and provide informal help. Yet participation rates in these activities are higher in the USA. Multivariate analyses show that associations between active participation and life satisfaction vary between both countries and within both countries by gender and age. Overall, positive associations between paid work and volunteering and life satisfaction suggest that governments would do well to mobilize elderly into active participation, especially in Belgium. Negative associations between informal help and life satisfaction suggest governments should provide greater support for informal carers.