Organizations and Neighborhood Networks that Strengthen Families in the District of Columbia

Vita, Carol J. De; Manjarrez, Carlos A.; Twombly, Eric C.

doi:10.1037/e718052011-001

Cited by 7 publications

(7 citation statements)

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“…This rich data source has been the primary source of information for several recent studies that examined the profile of nonprofit organizations in major urban areas like the District of Columbia (De Vita, Manjarrez, & Twombly, 1999), New York (Wolpert, Seley, & Motta-Moss, 2003), and Pittsburgh (De Vita, Twombly, Auer, & You, 2004), or particular types of nonprofits like arts associations or cultural heritage organizations (Rosenstein, 2006). This article examines two major groups of immigrant nonprofit organizations in U.S. major metropolitan areas, namely Hispanic-Latino American and Asian American nonprofits.…”

Section: Methods and Datamentioning

confidence: 99%

Immigrant Nonprofit Organizations in U.S. Metropolitan Areas

Hung

2007

Nonprofit and Voluntary Sector Quarterly

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Section: Methods and Datamentioning

confidence: 99%

Immigrant Nonprofit Organizations in U.S. Metropolitan Areas

Hung

2007

Nonprofit and Voluntary Sector Quarterly

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“…This is certainly a reasonable assumption, and it has been born out by the research. In addition, this is the basis of a number of efforts that have been taken, for example, in the District of Columbia (De Vita, Manjarrez, & Twombly, 1999), to use Geographical Information Systems (GIS) techniques to map or spatially relate providers and needs within metropolitan areas.…”

mentioning

confidence: 99%

The Locations of Nonprofit Organizations and Their For-Profit Counterparts: An Exploratory Analysis

Bielefeld

Murdoch²

2004

Nonprofit and Voluntary Sector Quarterly

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This research examines the utility of spatial analysis for studying nonprofit sectors and the relations between nonprofits and for-profits. Information was obtained on nonprofit and for-profit education and human service providers in six metropolitan areas. Methods of spatial econometrics were used to examine the determinants of nonprofit locational patterns and the degree to which the locations of nonprofits were influenced by the locations of comparable nonprofits and for-profits. Similar nonprofits were found to be clustered, although the pattern differed across metropolitan areas. For the most part, a model of needs and resources explained the clustering. Exceptions were found, however, indicat-

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“…To do this, we aggregated organization-level data to the state geography by summing values of relevant financial information based upon the address reported by nonprofit charities on IRS Form 990 and FIPS codes that indicate the state domicile of each organization. Existing research shows the nonprofit charity sector is overwhelmingly community-based and locally oriented, such that both charitable financing and spending for service provision primarily occur within state borders (Bielefeld & Murdoch, 2004;Bielefeld, Murdoch, & Waddell, 1997;Calabrese, 2011;Downs & Greenstein, 1996;DeVita, Manjarraz, & Twombly, 1999). 4 The $25,000 minimum requirement was the rule during the time period of our data; the current minimum gross revenue for required IRS Form 990 filing is $50,000.…”

Section: Model Specification and Datamentioning

confidence: 99%