2013
DOI: 10.1332/204080513x661563
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Exploring local hotspots and deserts: investigating the local distribution of charitable resources

Abstract: This paper investigates whether regional patterns of uneven charitable distribution are evidenced at a local neighbourhood level. Drawing on qualitative and quantitative evidence of charitable resources in two case-study areas, one affluent and one deprived, it argues that there is a clear distinction between the case-study areas. Charities in the affluent area are more numerous, run by volunteers, and meet a broad range of social, community and cultural needs of that community.Charities in the deprived area a… Show more

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Cited by 11 publications
(12 citation statements)
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“…Kim (2015) also found a negative correlation between nonprofit density and social need, as measured by racial/ethnic diversity and unemployment rate (a small, nonsignificant effect for poverty rate was estimated). Lindsey (2013) explored whether geographical variations in the distribution of charities also occurred at a local scale, in this case at the neighborhood level; drawing on a mix of quantitative and qualitative data for two case study areas in the United Kingdom (one affluent and one deprived), the study observed fewer registered charities in the more deprived area. Clifford (2012), drawing upon data for England from the 2008 National Survey of Third Sector Organisations, observed that less deprived local areas had a much higher prevalence of registered voluntary sector organizations than more deprived local areas.…”
Section: Literaturementioning
confidence: 99%
“…Kim (2015) also found a negative correlation between nonprofit density and social need, as measured by racial/ethnic diversity and unemployment rate (a small, nonsignificant effect for poverty rate was estimated). Lindsey (2013) explored whether geographical variations in the distribution of charities also occurred at a local scale, in this case at the neighborhood level; drawing on a mix of quantitative and qualitative data for two case study areas in the United Kingdom (one affluent and one deprived), the study observed fewer registered charities in the more deprived area. Clifford (2012), drawing upon data for England from the 2008 National Survey of Third Sector Organisations, observed that less deprived local areas had a much higher prevalence of registered voluntary sector organizations than more deprived local areas.…”
Section: Literaturementioning
confidence: 99%
“…These roles are historically familiar but also illustrate a re-shaping of community action alongside welfare provision (Milbourne, 2013). While some VOs have engaged enthusiastically in local community action plans, criticism has emerged about top-down rhetoric stifling local empowerment (Padley, 2013) and around the burdens and growing geographic inequalities arising from over-stretched voluntary resources in poorer areas (Lindsey, 2013).…”
Section: Contemporary Policy Shifts: Realigned Roles For Voluntary Ormentioning
confidence: 99%
“…One mechanism is the organizational infrastructure of Rotterdam. The small increase in civic participation in disadvantaged neighbourhoods is somewhat counterintuitive, especially given the findings from the UK where disadvantaged areas seem to be most severely impacted by the 2008-9 recession (Civil Exchange 2015; Clifford 2017; Clifford, Geyne-Rahme and Mohan 2013; Jones et al 2016;Lindsey 2013). We proposed that the rate of participation in disadvantaged neighbourhoods is partly explained by the municipality's policy of supplying basic civic provisions in less advantaged neighbourhoods during times of austerity (Municipality of Rotterdam 2015; cf.…”
Section: Discussionmentioning
confidence: 99%
“…Given that local communities bear increased responsibility for continuing their civic organizations, these findings strengthen the expectation that organizations in affluent communities with strong social networks are more capable of dealing with the challenges of the 2008–9 recession, whereas organizations in deprived communities with weak social networks were less capable of handling the cutback in resources (cf. Lindsey ).…”
Section: Theoretical Frameworkmentioning
confidence: 99%
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