Social vulnerability and migration in the wake of disaster: the case of Hurricanes Katrina and Rita

This study explores the relationship between place-based social vulnerability and post-disaster migration in the U.S. Gulf Coast region following Hurricanes Katrina and Rita. Using county-level data from the U.S. Census Bureau, we develop a regional index of social vulnerability and examine how its various dimensions are related to migration patterns in the wake of the storms. Our results show that places characterized by greater proportions of disadvantaged populations, housing damage, and, to a lesser degree, more densely built environments were significantly more likely to experience outmigration following the hurricanes. Our results also show that these relationships were not spatially random, but rather exhibited significant geographic clustering. We conclude with a discussion of the implications of these findings for future research and public policy.     

Welfare myths: The transmission of values and work among TANF families

Both “welfare culture” arguments and structural explanations of poverty suggest that attitudes may have an effect on work and welfare outcomes. However, most scholars only examine objective behaviors and characteristics despite the fact that values are an underlying mechanism in explanations of the transmission of welfare and work behavior. Using data from a survey of recent welfare recipients in Louisiana and structural equation methods, we analyze causal relationships among family background, socioeconomic characteristics, attitudes, and two outcomes—TANF participation and employment. We find some support for the intergenerational transmission of welfare but not through values; we find no evidence that under the TANF system, values inhibit work.     

Socioeconomic status,value orientations,and fertility behavior in India

This paper examines the role assumed by value orientations in the explanation of fertility behavior. Specifically the concern is with the extent to which value orientations intervene between, or mediate, the relationship between socioeconomic status and fertility behavior. The relationships between socioeconomic status, four types of value orientations and three aspects of fertility behavior are examined among males in India. In most instances value orientations provide neither the sole nor the partial interpretations of the relationship between socioeconomic status and fertility. The results of this investigation suggest once again the inadequacy of value orientations as predictors of fertility behavior.     

Will Rural Areas Still Matter in the 21st Century? (or) Can Rural Sociology Remain Relevant?1

Abstract Despite demographic and economic trends away from rural societies and from agriculture, a consideration of rural areas remains important for two reasons. First, a substantial number of people will continue to live and work in rural areas, even as urbanization spreads across the world. Second, social processes have different consequences in urban and rural areas. Rural sociology must make global restructuring a key concern, it must provide information about social and economic processes in rural and urban areas, and its geographical scope must become truly international.     

Socioeconomic Performance in Metropolitan and Nonmetropolitan Areas during the 1980s

The socioeconomic gap between metropolitan and nonmetropolitan areas increased during the 1980s. We test three competing explanations for this trend during the 1980s: overdependence on manufacturing, especially in nonmetro labor markets, the emergence of producer services as a catalyst of socioeconomic growth, and federal spending. Using a model that is informed by a variety of perspectives in sociology and economic geography, and commuter zones (CZs) as spatial units of analysis, we estimate the effects of manufacturing concentration, producer service concentration, and federal spending on per capita income, per capita earnings, and private nonfarm employment growth during the 1983–1988 business cycle recovery. The OLS and interaction models show that all three factors help explain why metro areas outperformed nonmetro areas during this time period. The effects of producer service concentration, however, best fit with our expectations. Implications of our findings are discussed.