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Start date: 2021Subject: search.filters.subject.Social capital

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    Evidence of the effects of ethnic diversity, years of residence, and location on migrant bridging, bonding, and linking, social capital: a New Zealand synthesis
    (Springer Nature on behalf of the Japan Section of the Regional Science Association International, 2025-06-29) Roskruge M; Poot J
    New Zealand has one of the highest immigration rates in the developed world, resulting in a high share of foreign-born residents. Its population is highly urbanized, spatially uneven, ethnically diverse, and includes a significant indigenous Māori population. This paper synthesizes two decades of research on migrant social capital in New Zealand, drawing on data from multiple waves of the New Zealand General Social Survey and the Adult Literacy and Life Skills Survey. These datasets provide insights into community participation, volunteering, perceptions of safety and inclusion, and electoral engagement. We draw two main conclusions from our synthesis. First, although migrants arrive with limited local social capital, they gradually build bonding, bridging, and linking, social capital over time. In addition, reported experiences of discrimination decline with longer residence. However, pooled survey data reveal variation in these patterns across time. Second, social capital investment is shaped by the spatial distribution of ethnic groups. Migrants are more likely to engage in bridging social capital in regions where their group is underrepresented, and in bonding social capital in communities where ethnic clustering occurs.
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    Micro-theory on knowledge transfer to foster disaster resilience: A grounded theory approach
    (Elsevier Ltd, 2021-11) Ahangama N; Prasanna R
    Although recent literature suggested that knowledge generation and dissemination in social networks influence resilience, research in knowledge transfer and social capital domains have shown a low tendency to integrate into theoretical frameworks. This paper discusses the process of building a micro-theory, which explains the dynamics of knowledge transfer in social networks of disaster responders in Sri Lanka. The proposed theory suggests the association among knowledge transfer, dimensions of social capital, and resilience in a disaster context. This study employs an interpretive case study research design, with an exploratory approach and uses grounded theory driven constant comparison method for data analysis. The transcriptions from 21 semi-structured interviews and participant observations of two disaster drill exercises used as the primary data source for the data analysis. The analysis of this study generates a coding pattern with six categories of concepts and proposes the theory of KTinSSC with the theoretical consensus from the two case studies. The proposed theory explains the knowledge transfer among responders who are focused mostly on the immediate survival and discusses the effect of knowledge transfer interactions on their normative beliefs. The study also suggests ways to attain higher levels of resilience among such survival-focused social groups.