1997
DOI: 10.1177/107808749703200602
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Poverty and Economic Morphology of Ohio Central-City Neighborhoods

Abstract: The authors examine the relationship between poverty and economic activities in 24 selected industries in more than 100 neighborhoods in Ohio central cities. As expected, local economies deteriorated as poverty levels increased. However, the economic deterioration began much earlier, and was much more serious, than has been suggested in earlier ghetto studies. Furthermore, the decline in neighborhood jobs associated with the economic deterioration was massive. If neighborhood jobs are seen as a road to economi… Show more

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Cited by 31 publications
(23 citation statements)
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“…In addition, diminished levels of local-serving employment were found in a number of the industries studied, even when poverty levels were low (20 percent). Bingham and Zhang (1997) did not address the racial composition of the ZIP codes they studied. Immergluck (1999) did consider race as a possible explanation for reduced levels of commercial activity, but also only in the context of central-city neighborhoods.…”
Section: Fannie Mae Foundationmentioning
confidence: 94%
See 3 more Smart Citations
“…In addition, diminished levels of local-serving employment were found in a number of the industries studied, even when poverty levels were low (20 percent). Bingham and Zhang (1997) did not address the racial composition of the ZIP codes they studied. Immergluck (1999) did consider race as a possible explanation for reduced levels of commercial activity, but also only in the context of central-city neighborhoods.…”
Section: Fannie Mae Foundationmentioning
confidence: 94%
“…However, only four recent pieces of research are closely related to our question. Bingham and Zhang (1997) examined the relationship between poverty and economic activities in 124 central-city ZIP codes (average size roughly 16,158 persons each) in seven Ohio metropolitan areas with populations of 2 million or more. Specifically, they sought to explain "how central-city neighborhood economies differ from one another as neighborhood poverty levels vary" (Bingham and Zhang 1997, 768).…”
Section: Literature Reviewmentioning
confidence: 99%
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“…As a neighborhood proxy, zip codes suffer several shortcomings, although they often appear in neighborhood analyses. 23,24 An important, additional limitation is the exclusion of homeless patients from the sample because of the unavailability of information on where they typically reside. Because treatment demand by homeless patients is likely to concentrate in disadvantaged areas, our estimates of treatment-home neighborhood differences do not necessarily imply an excess of treatment capacity in these areas.…”
Section: Discussionmentioning
confidence: 99%