Community-Based Determinants of Community Engagement: A Meta-Analysis Research

In literature, several variables, both individual and collective level, have been utilized to explain community engagement: the active, voluntary involvement of individuals and groups in changing problematic conditions in communities. The purpose of this study is to identify the main community-based variables and, via meta-analysis research, calculate the effects of these variables on community engagement. These variables include sense of community, community identity, social well-being, place identity, trust in the community, trust in institutions, and community cohesion. The overall and partial effect sizes and heterogeneity between studies were calculated. Some study characteristics (i.e. type of sample, size of sample, percentage of women in the sample, and mean age) were used as moderators for subsample analysis and meta-regressions. The first six major variables (sense of community, community identity, social well-being, place identity, trust in the community, and trust in institutions) show a positive but moderate relationship with community engagement. As for the moderating variables were not found substantial variations. The data are very heterogeneous and highlight the complex and multivariate nature of community engagement. Theoretical and methodological implications were discussed.     

Corruption and the ‘Paradox of Redistribution’

The existing literature on the determinants of income redistribution has identified a ‘paradox’. Namely, that countries with a high degree of market income inequality redistribute little, which is in disagreement with the median voter theorem. In a first step, this paper outlines several mechanisms that explain why government corruption might be partially responsible for this ‘paradox’. In a second step, different corruption perception indices and an instrumental variable approach are used to provide empirical evidence that indicates a significant negative impact of corruption on redistribution levels for a sample of 148 developing and developed countries. This finding suggests that, next to political and need factors, government corruption explains to some extent the ‘paradox of redistribution’. This is especially true for many developing countries, given that they typically have relatively high degrees of corruption and low levels of redistribution.     

Does It Matter How We Assess Standard of Living? Evidence from Indian Slums Comparing Monetary and Multidimensional Approaches

As part of Sustainable Development Goals, the United Nations have set targets of upgrading slums and reducing poverty in all its dimensions by 2030. Policies towards improving the living conditions of slum-dwellers require proper assessment of their standard of living as well as understanding the associated characteristics. In this paper, using slum-level primary household survey data from three largest Indian cities, we, first, assess the standard of living of slum dwellers using both monetary and non-monetary approaches and then explore how various household and spatial characteristics are consistently or differently associated with both forms of assessments. We use standard monetary indicators, but to assess non-monetary standard of living, use a counting approach framework and justify the selection of specific indicators in the context of slums. Our analysis yields some interesting observations as some characteristics are differently associated with monetary and non-monetary living standards, which should affect policy designs in slums.     

What is Happening with Quality of Life Among the Oldest People in Southern European Countries? An Empirical Approach Based on the SHARE Data

Population aging in developed countries has created new challenges to improve the well-being of individuals at different age cohorts. This issue is especially significant for Southern European countries, were aging societies have worse health and less socio-economic resources. The aim of this study is to contribute to this body of literature and to estimate the effect of aging on quality of life of oldest people. This paper uses the latest available data (6th wave) from the Survey on Health, Ageing and Retirement in Europe (SHARE). Specifically, robust ordinary least squares and multilevel regressions are employed to analyse the effects of socioeconomic, health, and community factors on quality of life among the oldest population for Southern European countries. Our findings confirm the significance of several factors on life satisfaction among the oldest population in this group of countries. Moreover, we show that the determinants which are correlated with quality of life include predisposing, health, geographic area and social isolation factors.     

Using Quali-Quantitative Indicators for Assessing the Quality of Citizen Participation: A Study on Three Citizen Juries

Over the last 3 decades, citizen involvement has become rather common in policymaking processes. Its rationale, as well as its potential benefits and limitations, are manifold. The literature on the evaluation of public participation is copious and it is crucial both to implement effective processes, and to achieve high-quality outcomes. Inspired by deliberative democracy theory, dialogue/fairness and knowledge/competence have been considered the two main criteria to assess the quality of deliberative processes. Based on the analysis of three citizen juries, the paper focuses on the process through which citizen deliberation occurs. Specifically, three properties related to dialogue, i.e., equity, cooperation, and cognitive openness, were treated as quality indicators of the deliberative process. Both quantitative and qualitative methods were used, and three sources of data utilized: (a) semi-structured interviews to jurors; (b) post-jury questionnaires; and (c) jurors’ conversational turns. Altogether, the analyses showed that despite the imbalance in participation, the deliberation process was perceived as fair. However, findings also suggested that the participatory setting did not promote the ability of participants to generate new collective knowledge.     

Superimpose Material Deprivation Study on Poverty Old Age People in Hong Kong Study

Due to a range of shortcomings of income-based measures of poverty in older people, an alternative approach is proposed to counteract those shortcomings. Hong Kong index of material deprivation aims to identify a consensus-based list of goods and services that are necessities in society and to establish that these goods and services are not available due to their lack of affordability. This paper reports on the validation of Hong Kong index of material deprivation based on an approach proposed by Townsend (Poverty in the United Kingdom, Penguin Books, London, 1979) in Hong Kong. Through a survey of 2339 older Chinese people aged 65 and older, we found that a broad consensus regarding the necessities in their daily lives exists and Hong Kong index of material deprivation is a reliable and valid measure of poverty because its reliability and validity is good and acceptable. Finally, we have shown that the overlap between the poor in terms of income and the deprived is moderate and the profiles of those who are core poor (both poor in terms of income and the deprived) are more similar to those who are deprived than those who are poor in terms of income. Hong Kong index of material deprivation index has been developed, which offers a supplementary measure of poverty other than income poor and provides future avenues for improved understandings of poverty in old age.     

A Multidimensional Dynamic Measure of Child Disadvantage: A Methodological Tool for Policymakers

This paper demonstrates the applicability of an innovative approach towards examining child disadvantage, using a holistic, dynamic measure that not only accounts for multiple sources of disadvantage but also for the recurrence and persistence of disadvantage throughout a child’s life. We analyse child disadvantage using two longitudinal surveys of the Australian child population, one of which is specific to Indigenous children, who experience notably higher rates of disadvantage. Among Australian children, we detect that poor body weight and bullying—representative of the broad dimensions of health and emotional wellbeing—should be of significant concern to policymakers. Among Indigenous children, housing conditions, schooling and exposure to risky behaviours stand out as areas of concern. By identifying the dimensions in which rates of child disadvantage are most severe, this methodological approach can help steer targeted policy actions.     

The Effect of Cultural Capital on High School Dropout: An Investigation in the Italian Provinces

This article studies at a detailed geographical level the relation between cultural capital and high school dropout. Bronfenbrenner’s systemic theory and Heckman’s perspective on cognitive/non-cognitive skills are considered as theoretical framework. We analyzed data from 103 Italian provinces employing Covariance Structure Analysis and spatial indices of autocorrelation. We found a consistent protective effect of cultural capital on dropout, independently of economic performance, in Central and Southern provinces, but not in Northern provinces. Spatial analyses showed very heterogeneous patterns of autocorrelation for dropout (especially across Southern provinces) even between neighboring areas, in spite of a more compact clustering when considering cultural and economic indicators. These results indicate that living in an environment with animated cultural life might enhance students’ non-cognitive skills, thus fostering their involvement in formative activities and the development of their human capital.     

A Measure of Trust: The Italian Regional Divide in a Latent Class Approach

Social differences within countries may partly explain the lack of economic convergence and the persistence of regional disparities. The case of Italy is emblematic: economic gap between North and South remains at high levels with large differences in social capital and in trust. In this paper, we use the micro data from the ISTAT “Aspects of Daily Life” Survey to build a measure of “trust in others” and a measure of “trust in institutions” through a latent class model to attribute a trust score to the Italian households and the Italian regions and, in this way, to add elements of knowledge useful to policies. Our measures confirm a persistent territorial divide although the regional mapping appears more complex than the classical North–South partition. At last, a discussion on the household typology shows that the territorial gaps of trust persist even among households with similar socio-economic characteristics.     

Data for the Sustainable Development Goals: Metrics for Evaluating Civil Registration and Vital Statistics Systems Data Relevance and Production Capacity,Illustrations with Nigeria

Three issues impinging on the potential use of Civil Registration and Vital Statistics (CRVS) data for the Sustainable Development Goals (SDGs) are analysed in the paper. These include CRVS data relevance, content and data production capacity of CRVS systems. The paper adopts a ‘data type’ approach to relevance and capacity and proposes two metrics based on a graded qualitative evaluation (GQE) methodology. One is a data-relevance metric for evaluating the relevance of CRVS data types to the SDGs. The second is a National Statistical Systems (NSS) data type production capacity metric used for evaluating the data production capacity of CRVS systems. CRVS data instrument analysis and the CRVS data production capacity are exemplified with the Nigerian CRVS system. Relevance assessment results suggest that CRVS systems can provide data relevant to 25% of the SDGs. However the SDG data contribution of CRVS depends on the ‘data type’ capacity of National CRVS systems. As the capacity assessment shows, the Nigerian CRVS system has ‘nominal’ capacity to produce all CRVS data types (fertility, mortality, migration, nuptiality and socio-economic) and ‘active’ and ‘latent’ capacities to provide data for some 21 SDG targets. However, it currently lacks ‘effective’ capacity to produce any of the data types for the SDGs. The paper has implications for goal setting and prioritization in evolving strategies to enhance the development of CRVS/NSS systems’ data capacities, especially in developing countries.