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Social capital and collective efficacy for disaster resilience: Connecting individuals with communities and vulnerability with resilience in hurricane-prone communities in Florida.

机译:增强抗灾能力的社会资本和集体效力:在佛罗里达州飓风频发的社区中,使个人与社区和脆弱性与抗灾力联系起来。

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This dissertation explores the relationship between individual and community resilience and social vulnerability in hurricane-prone communities in the United States using social capital and collective efficacy as conceptual grounding.;I pursue several specific research questions within this broad framework. 1) Individual-level social capital: How do individuals understand and leverage their informal (family and friends) and formal (organizations) social capital for disaster situations? What specific attributes of individuals and their networks affect their perceptions of social capital resources before a disaster occurs? 2) Individual-level perceptions of collective efficacy: How is collective efficacy for disasters understood and described by individual residents of a community? How does this understanding compare and contrast with routine (i.e., non-disaster) perspectives of collective efficacy? 3) Community-level social capital: How does disaster-specific social capital operate at a community level? What are the perceived attributes and effects of different forms of social capital on a community's overall disaster resilience? 4) Community-level perceptions of collective efficacy: How do organizational representatives understand and describe the disaster-specific collective efficacy in their communities? What attributes of their communities support and constrain disaster-specific collective efficacy?;Disaster social capital at the individual level describes the personal social networks of family, friends, neighbors, acquaintances, and organizations who individuals perceive as able provide assistance for disaster-related activities. My results highlight the following five main findings related to disaster social capital. First, respondents' disaster-specific social networks are limited in size. Many respondents perceived a small number of social capital ties as able to provide resources for disaster situations, and this result differed based on the resource considered (financial or nonfinancial) and by county. Second, family ties and geographically localized ties are prominent in these networks. Third, taken together with indicators of social vulnerability, disaster social capital involves a complex process of network size, composition, and resource needs and availability that influence the perception of potential social ties to activate in disasters. This process has implications for individual resilience, based on the resources an individual has and what they can receive from their networks. Fourth, this primary data on disaster social networks is positively correlated, but only weakly, to common measures of routine social capital. Fifth, nearly half of the respondents in this study lack formal social capital ties to community organizations. Few of these individuals perceived these formal social capital ties as useful in a disaster situation and instead would rely on family and friends first.;At the community-level, the practice of social capital among community organizations varies. In Leon County, their disaster social capital is formalized in a network of government and nongovernmental organizations with varying degrees of involvement. I created a six tier typology to describe the levels of connection between different organizations in Leon County: Disaster Core, Conduits of Emergency Services, Social Service Semi-periphery, Faithful and Financial Periphery, External Assistance, and The Disconnected. Involvement in this disaster-specific organizational social capital network was perceived to have three main benefits related to disaster resilience: improve disaster response, improve organizational capacity to survive a disaster, and improve organizational capacity to assist their clients or members during a disaster. In contrast, Dixie County lacked a formal disaster-specific organizational network, and only two local government organizations collaborated regularly on disaster concerns. Other organizations in the area were expected to emerge in the aftermath of a disaster and assist with response and recovery as they could. The lack of formalized disaster social capital in Dixie County was attributed to the limited capacity of nongovernmental organizations, the lack of large disasters that require more than what local emergency management could handle, and confusion as to what nongovernmental organizations could offer or gain from being involved in such a network. (Abstract shortened by UMI.).
机译:本文以社会资本和集体效能为概念基础,探讨了美国飓风多发社区的个人和社区的应变能力与社会脆弱性之间的关系。我在这个广泛的框架内研究了几个具体的研究问题。 1)个人层面的社会资本:个人如何理解和利用他们在灾害情况下的非正式(家庭和朋友)和正式(组织)社会资本?在灾难发生之前,个人及其网络的哪些特定属性会影响他们对社会资本资源的认识? 2)个人层面对集体效能的看法:社区的居民如何理解和描述灾难的集体效能?这种理解如何与集体效力的常规(即非灾难性)观点进行比较和对比? 3)社区层面的社会资本:特定于灾难的社会资本如何在社区层面运作?不同形式的社会资本对社区整体防灾能力的感知属性和影响是什么? 4)社区层面对集体效能的看法:组织代表如何理解和描述其社区中针对特定灾难的集体效能?社区的哪些属性支持和限制特定于灾难的集体效能?;个人层面的灾难社会资本描述了个人,家人,朋友,邻居,相识者和组织的个人社交网络,这些人认为个人能够为与灾难相关的活动提供帮助。我的结果强调了以下与灾害社会资本有关的五个主要发现。首先,受访者针对灾难的社交网络规模有限。许多受访者认为,少数社会资本纽带可以为灾情提供资源,而这一结果根据所考虑的资源(金融或非金融)和县而有所不同。其次,在这些网络中,家庭关系和地理位置上的关系十分突出。第三,与社会脆弱性指标一起,灾难社会资本涉及网络规模,组成,资源需求和可用性的复杂过程,这会影响人们在灾难中激活潜在社会联系的认识。根据个人拥有的资源以及他们可以从网络中获得的资源,此过程对个人的弹性具有影响。第四,有关灾害社会网络的主要数据与常规社会资本的一般衡量指标呈正相关,但仅微弱相关。第五,本研究中将近一半的受访者与社区组织缺乏正式的社会资本联系。这些人中很少有人认为这些正式的社会资本纽带在灾难情况下有用,而是首先依靠家人和朋友。在社区一级,社区组织之间社会资本的实践各不相同。在莱昂县,他们的灾难性社会资本通过政府和非政府组织(参与程度不同)的网络正式化。我创建了一个六层的类型学来描述莱昂县不同组织之间的联系水平:灾难核心,紧急情况服务管道,社会服务半外围,忠实和财务外围,外部援助和无联系。人们认为,参与该特定于灾难的组织社会资本网络具有与灾难复原力相关的三个主要好处:提高灾难响应能力,提高组织在灾难中生存的能力以及提高在灾难期间为客户或成员提供帮助的组织能力。相反,迪克西县缺乏正式的针对灾难的组织网络,只有两个地方政府组织定期就灾难问题进行合作。预计该地区的其他组织将在灾难后出现,并尽可能提供响应和恢复。迪克西县缺乏正规的灾害社会资本,这是由于非政府组织的能力有限,缺乏大型灾害所需要的,这些灾害所需要的远远超出了当地应急管理部门的处理能力,以及对非政府组织从参与中可以提供或受益的困惑在这样的网络中。 (摘要由UMI缩短。)。

著录项

  • 作者

    Meyer, Michelle Annette.;

  • 作者单位

    Colorado State University.;

  • 授予单位 Colorado State University.;
  • 学科 Public policy.;Social structure.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 311 p.
  • 总页数 311
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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