Of all natural disasters, flooding causes the greatest amount of economic and social damage. The United States' Federal Emergency Management Agency (FEMA) uses a number of hazard mitigation grant programmes for flood victims, including mitigation offers to relocate permanently repetitive flood loss victims. This study examines factors that help to explain the degree of difficulty repetitive flood loss victims experience when they make decisions about relocating permanently after multiple flood losses. Data are drawn from interviews with FEMA officials and a survey of flood victims from eight repetitive flooding sites. The qualitative and quantitative results show the importance of rational choices by flood victims in their mitigation decisions, as they relate to financial variables, perceptions of future risk, attachments to home and community, and the relationships between repetitive flood loss victims and the local flood management officials who help them. The results offer evidence to suggest the value of a more community-system approach to FEMA relocation practices.
This paper offers a meta-analysis that traces the contested meaning and use of social capital in sociological research over the last 18 years by focusing on journal article definitions. We identify six common definitions in use that closely correspond to the original-and in some cases, independent-formulations offered by Hanifan, Putnam, Coleman, Bourdieu, and Granovetter. Drawing from Kuhnian theory, we contend that these definitions illuminate deep divisions between those who understand social capital as a normative "cure-all" (Portes 1998)-in the tradition of Hanifan, Putnam, and Coleman -and those who view it as a resource-in the tradition of Bourdieu and Granovetterthat may be used to create or maintain social inequality. The transition of social capital from preparadigm to paradigm status may potentially involve an integration of these approaches, but this will require greater consideration of power and inequality on the part of normative theorists, who are currently dominating the debate.
This article presents the findings of a case study examining the relationship between social capital and individual participation in collective action on a Caribbean island recovering from devastation inflicted by Hurricanes Ivan and Emily. Using data drawn from 114 residential surveys on the island of Carriacou, Grenada, over the summer of 2006, we empirically test social capital as a predictor of individual participation in both formal and informal civic events. In addition, we further the theoretical development of the concept of social capital by independently testing the relationships between its multiple dimensions, specifically social networks; interpersonal trust; and norms of reciprocity. We find that associational membership and age are the two strongest predictors, while interpersonal trust, gender, and marital status are also significant. Our path analysis reveals that there is not a significant direct effect between associational membership and interpersonal trust, suggesting that the two dimensions may have independent, yet complementary, influences. This study sheds light on factors influencing citizen participation in “civic” forms of collective action in a developing region of the world, while demonstrating the multidimensional nature of social capital.
Biodiversity is essential for human well-being, the functioning of ecosystems, and the sustained flow of benefits from ecosystems to individuals and societies. An important component of biodiversity is "species richness," the number of species in an ecological unit. Loss of species richness contributes to worsening health, lower food security, and the increasing vulnerability of human and animal populations. This article examines the effects of relevant global, anthropogenic (human caused), and ecological factors on nations' relative shares of the global total of threatened bird and mammal species for 139 countries. Using structural equation models, the authors tested hypothesized predictions from human ecology, ecological modernization, and global political-economic approaches. The findings indicate that the structure of the global system directly affects local anthropogenic factors (modernization, population), which, in concert with ecological characteristics, are direct and indirect predictors of the loss of species. This research emphasizes the importance of informed sociological analyses that account for both the direct and indirect effects of global forces and the conjoint importance of anthropogenic and ecological processes that contribute to a key form of environmental degradation.
The purpose of this paper is to gain empirical footing on the mechanisms that drive and mitigate global warming, which is a topic of growing significance to themes of social justice. Using components of the ecological footprint, we construct a measure of each nation's relative contributions to carbon dioxide emissions after accounting for the amount sequestered by domestic forestlands. We refer to this measure as the ''climate footprint,'' and construct a structural equation model to test key theorizations in the environmental sociology literature. We add to this body of work by incorporating and empirically testing ecofeminist positions that the status of women is a cause and an effect of environmental conditions. Results suggest women and the environment are interconnected dimensions of exploitation, as ecological losses weaken women's status in nations. We also find that nations with greater female representation in governing bodies have lower climate footprints, controlling for domestic (urbanization, production) and global (world-system integration) drivers. Conclusions point to the potential for gender equality and improving the status of women worldwide to curtail climate change. Other theoretical and empirical implications are treated, including the benefits of bringing women into theories of the environment and the utility of structural equation techniques for testing hypotheses that specify direct and indirect connections among relevant predictors and the outcome.
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