Welfare State and Social Enterprise in Transition: Evidence from Serbia

This paper analyses welfare regime changes in Serbia and their impact on social enterprise development in the last two decades. We cover the period of significant transition-related reforms within the welfare state, with important implications on the position of these enterprises. Using data gathered from the qualitative field research, our study shows that there are two broad groups of factors that are important for development of the new generation of social enterprises, those that emerged in the last decade with an idea to foster entrepreneurial spirit and expanded into new domains other than those providing assistance to the marginalized groups. First, their decision to enter the social economy sector still depends on the environment created by the state. Secondly, their sustainability is affected by the factors typically found in any other enterprise of comparable scale like business skills, capacity to form networks and partner with relevant stakeholders.     

Elements of Capacity in Youth Development Nonprofits: An Exploratory Study of Urban Sport for Development and Peace Organizations

Organizational capacity is often discussed among nonprofit practitioners and scholars. Yet, empirical research employing a multidimensional capacity framework remains scarce in the nonprofit literature (Andersson et al. in VOLUNTAS Int J Volunt Nonprofit Organ 27(6):2860–2888, 2016). Using a qualitative research approach, we explored capacity in a specific segment of youth development nonprofits—sport for development and peace (SDP). We were guided by three research questions: (1) what are critical capacity elements of SDP nonprofits? (2) how do these capacity elements influence the ability of SDP nonprofits to achieve their desired goals and objectives? and (3) what are the capacity needs of SDP nonprofits in the USA? Findings from in-depth interviews with leaders of 29 organizations contribute to the development of theory on nonprofit capacity by providing a more nuanced understanding of capacity strengths and challenges related to broader nonprofit goal achievement. For example, paid staff, revenue generation, and internal infrastructure emerged as critically more important for capacity in this context. Practical and theoretical implications are further discussed.     

Transnational Information Politics and the “Child Migration Crisis”: Guatemalan NGOs Respond to Youth Migration

Sharp increases in “child migrants” from Central America detained at the US border in 2014 brought unprecedented levels of attention to long extant social and political issues perceived as causing youth migration. While governments on both sides of the US border faced criticism over responses to the migration “crisis,” the presumed causes of this migration presented in US media discourses went largely unquestioned. This article presents data collected in June 2015 from in-depth interviews with Guatemalan and transnational non-governmental organization (NGO) staff, scholars, lawyers, and activists in order to understand the complex interpretations of child migration by NGO actors in Guatemala. Findings illustrate how NGOs may selectively draw on the power of prevailing media narratives to buttress ideological and programmatic goals while simultaneously contesting how the same media depictions obscure the lived realities of migrants. We consider the transnational information politics of representations of “child migration” across government, media, and civil society sectors and the critical role of NGOs in articulating the complex realities faced by populations vulnerable to migration.     

NGO Strategies in an Authoritarian Context,and Their Implications for Citizenship: The Case of the People’s Republic of China

This study argues that different cities in China have different resource environments available for NGOs. Organizations react to these resource environments by constructing appropriate resource strategies, which in turn shape the characteristics and structures of the NGOs of that city. It further examines how these characteristics and structures influence the construction and performance of citizenship in an authoritarian environment. Specifically, some types of NGOs encourage Chinese citizens to be passive, while others offer a model for people to actively engage with social issues. This is aptly demonstrated in an analysis of NGOs operating across four cities—Beijing, Shanghai, Kunming, and Nanjing—which reveals three different types of resource environments and behavioral models for NGOs. We subsequently discuss the implications of each model for citizen engagement.     

Does Revenue Diversification Predict Financial Vulnerability Among Non-governmental Organizations in sub-Saharan Africa?

Non-governmental organizations (NGOs) in sub-Saharan Africa (SSA) experience financial challenges that hinder efforts to promote social change and development. Revenue diversification is one adaptive response to these challenges, yet there is a lack of evidence concerning the relationship between revenue diversification and financial vulnerability among NGOs in SSA. Using data from an online survey of NGOs (N = 170), we hypothesized that a greater number of revenue sources is associated with lower probability of financial vulnerability, while a greater level of dependence on international funding is associated with higher probability of financial vulnerability. Results from probit regression models controlling for organizational characteristics indicated partial support for hypotheses. Having four or more types of revenue was associated with 87% lower probability of financial vulnerability compared to having one type of revenue (p < 0.001). Also, NGOs with up to half of their budgets covered by international sources had 17% lower probability of financial vulnerability compared to NGOs with no international funding (p < 0.05). Implications for future research to further explore these relationships are discussed.     

Coming Out and Job Satisfaction: A Moderated Mediation Model

Prior research suggests that the disclosure of sexual identity at work is not always significantly associated with job satisfaction. The authors investigated (a) the mediating role of workplace heterosexist climate in linking workplace outness with job satisfaction, and (b) the moderating role of anticipated discrimination in influencing the indirect and direct relationship between workplace outness and job satisfaction. This model was tested among 1,460 lesbian, gay, and bisexual (LGB) employees in Italy. Results indicated that workplace heterosexist climate mediated relationships between workplace outness and job satisfaction. Anticipated discrimination moderated the relationships between LGB employees’ disclosure of their sexual identity and job satisfaction and between workplace heterosexist climate and job satisfaction. This moderated mediation model may assist researchers who aim to understand the complexity of the relationship between workplace outness and job satisfaction. In this regard, practitioners need to recognize the role played by workplace heterosexist climate and anticipated discrimination.     

M-quantile models with application to poverty mapping

Over the last decade there has been growing demand for estimates of population characteristics at small area level. Unfortunately, cost constraints in the design of sample surveys lead to small sample sizes within these areas and as a result direct estimation, using only the survey data, is inappropriate since it yields estimates with unacceptable levels of precision. Small area models are designed to tackle the small sample size problem. The most popular class of models for small area estimation is random effects models that include random area effects to account for between area variations. However, such models also depend on strong distributional assumptions, require a formal specification of the random part of the model and do not easily allow for outlier robust inference. An alternative approach to small area estimation that is based on the use of M-quantile models was recently proposed by Chambers and Tzavidis (Biometrika 93(2):255–268, 2006) and Tzavidis and Chambers (Robust prediction of small area means and distributions. Working paper, 2007). Unlike traditional random effects models, M-quantile models do not depend on strong distributional assumption and automatically provide outlier robust inference. In this paper we illustrate for the first time how M-quantile models can be practically employed for deriving small area estimates of poverty and inequality. The methodology we propose improves the traditional poverty mapping methods in the following ways: (a) it enables the estimation of the distribution function of the study variable within the small area of interest both under an M-quantile and a random effects model, (b) it provides analytical, instead of empirical, estimation of the mean squared error of the M-quantile small area mean estimates and (c) it employs a robust to outliers estimation method. The methodology is applied to data from the 2002 Living Standards Measurement Survey (LSMS) in Albania for estimating (a) district level estimates of the incidence of poverty in Albania, (b) district level inequality measures and (c) the distribution function of household per-capita consumption expenditure in each district. Small area estimates of poverty and inequality show that the poorest Albanian districts are in the mountainous regions (north and north east) with the wealthiest districts, which are also linked with high levels of inequality, in the coastal (south west) and southern part of country. We discuss the practical advantages of our methodology and note the consistency of our results with results from previous studies. We further demonstrate the usefulness of the M-quantile estimation framework through design-based simulations based on two realistic survey data sets containing small area information and show that the M-quantile approach may be preferable when the aim is to estimate the small area distribution function.     

Retrospective information on health status and its application for population health measures

Healthy life expectancies are almost always calculated by using health data from cross-sectional surveys. This type of calculation is done partly because data from longitudinal surveys are not always available, and when they are available, they are collected at intervals that are longer than one year. In such cases, collecting health information retrospectively for the years skipped by the survey is useful. The main purpose of this paper is to show how retrospective health information can be used to estimate life expectancies in different health states. Healthy life expectancies are estimated with and without using data on retrospective health information, and the corresponding estimates are compared. The two sets of estimates are similar. We conclude that retrospectively assessed health information based on a one-year recall period can be used to estimate years of life in various health states and that estimates based on such information will closely approximate estimates based on concurrent health information.     

Moving and union dissolution

This paper examines the effect of migration and residential mobility on union dissolution among married and cohabiting couples. Moving is a stressful life event, and a large, multidisciplinary literature has shown that family migration often benefits one partner (usually the man) more than the other Even so, no study to date has examined the possible impact of within-nation geographical mobility on union dissolution. We base our longitudinal analysis on retrospective event-history data from Austria. Our results show that couples who move frequently have a significantly higher risk of union dissolution, and we suggest a variety of mechanisms that may explain this.     

Risk preferences and the timing of marriage and childbearing

The existing literature on marriage and fertility decisions pays little attention to the roles played by risk preferences and uncertainty. However given uncertainty regarding the availability of suitable marriage partners, the ability to contracept, and the ability to conceive, women's risk preferences might be expected to play an important role in marriage and fertility timing decisions. By using data from the Panel Study of Income Dynamics (PSID), I find that measured risk preferences have a significant effect on the timing of both marriage and fertility. Highly risk-tolerant women are more likely to delay marriage, consistent with either a search model of marriage or a risk-pooling explanation. In addition, risk preferences affect fertility timing in a way that differs by marital status and education, and that varies over the life cycle. Greater tolerance for risk leads to earlier births at young ages, consistent with these women being less likely to contracept effectively. In addition, as the subgroup of college-educated, unmarried women nears the end of their fertile periods, highly risk-tolerant women are likely to delay childbearing relative to their more risk-averse counterparts and are therefore less likely to become mothers. These findings may have broader implications for both individual and societal well-being.