Nonprofit organizations are vital to the implementation of social policy and provide myriad benefits to those nearby, yet few studies consider founding patterns in small areas. Conceptualizing ecological processes at the local level and in the context of developmental regimes, this article investigates nonprofit founding events among neighborhoods with a unique data set aggregated by census tract from 2010 to 2016 in one northeast Ohio county (United States) using a hierarchical Bayesian model. The results broadly support the density dependence hypothesis, however, suggest high density is required to reduce founding rates in small areas. The results indicate nonprofit founding rates are lower in tracts with higher levels of economic disadvantage and higher shares of Latino residents. The paper calls for further research into nonprofit population dynamics among small areas and for policymakers to closely consider nonprofit founding events, as founding determines the future of a region’s nonprofit infrastructure.
AllardS. W.DanzigerS. (2002). Proximity and opportunity: How residence and race affect the employment of welfare recipients. Housing Policy Debate, 13(4), 675–700. https://doi.org/10.1080/10511482.2002.9521461
2.
AmburgeyT. L.RaoH. (1996). Organizational ecology: Past, present, and future directions. Academy of Management Journal, 39(5), 1265–1286. https://doi.org/10.2307/256999
3.
BanajiM. R.FiskeS. T.MasseyD. S. (2021). Systemic racism: Individuals and interactions, institutions and society. Cognitive Research: Principles and Implications, 6(1), Article 82. https://doi.org/10.1186/s41235-021-00349-3
4.
BanerjeeS.CarlinB. P.GelfandA. E.IshamV.LouisT. A.TongH.KeidingN. (2014). Hierarchical modeling and analysis for spatial data (2nd ed.). Chapman & Hall/CRC.
5.
BaumJ. A. C.AmburgeyT. L. (2017). Organizational ecology. InBaumJ. A. C. (ed.) The Blackwell companion to organizations (pp. 304–326). John Wiley & Sons. https://doi.org/10.1002/9781405164061.ch13
6.
BaumJ. A. C.OliverC. (1996). Toward and institutional ecology of organizational founding. Academy of Management Journal, 39(5), 1378–1427. https://doi.org/10.2307/257003
7.
BaumJ. A. C.SinghJ. V. (1996). Dynamics of organizational responses to competition. Social Forces, 74(4), 1261–1297. https://doi.org/10.2307/2580351
8.
BielefeldW.MurdochJ. C.WaddellP. (1997). The influence of demographics and distance on nonprofit location. Nonprofit and Voluntary Sector Quarterly, 26(2), 207–225. https://doi.org/10.1177/0899764097262007
BrandtnerC.DunningC. (2020). Nonprofits as urban infrastructure. In PowellW. W.BromleyP. (Eds.), The nonprofit sector: A research handbook (3rd ed., pp. 270–291). Stanford University Press.
11.
CarlinB. P.LouisT. A.CarlinB. (2000). Bayes and empirical Bayes methods for data analysis (2nd ed.). Chapman & Hall/CRC.
12.
CarrollG.HannanM. T. (2000). The demography of corporations and industries. Princeton University Press.
13.
CattaniG.PenningsJ. M.WezelF. C. (2003). Spatial and temporal heterogeneity in founding patterns. Organization Science, 14(6), 670–685. https://doi.org/10.1287/orsc.14.6.640.24874
14.
CliffordD. (2018). Neighborhood context and enduring differences in the density of charitable organizations: Reinforcing dynamics of foundation and dissolution. American Journal of Sociology, 123(6), 1535–1600. https://doi.org/10.1086/697895
15.
CongdonP. D. (2019). Bayesian hierarchical models: With applications using R (2nd ed.). Chapman & Hall/CRC.
16.
CoultonC. J. (2012). Defining neighborhoods for research and policy. Cityscape: A Journal of Policy Development and Research, 14(2), 231–236.
17.
CrubaughB. (2021). Neighborhood development organizations and neighborhood disadvantage: Race, resources, and inequality in Chicago. Nonprofit and Voluntary Sector Quarterly, 50(1), 27–53. https://doi.org/10.1177/0899764020941928
18.
da CostaM. (2016). What influences the location of nonprofit organizations? A spatial analysis in Brazil. VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations, 27(3), 1064–1090. https://doi.org/10.1007/s11266-016-9682-7
19.
DiMaggioP. J.PowellW. W. (1983). The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields. American Sociological Review, 48(2), 147–160. https://doi.org/10.2307/2095101
20.
DipendraK. C.LorsuwannaratT. (2022). Spatial differences in the founding pattern of nongovernmental organizations and not-for-profit companies. VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations, 33(3), 524–537. https://doi.org/10.1007/s11266-021-00345-7
21.
ElliottP.WartenbergD. (2004). Spatial epidemiology: Current approaches and future challenges. Environmental Health Perspectives, 112(9), 998–1006. https://doi.org/10.1289/ehp.6735
22.
FrumkinP. (2002). On being nonprofit: A conceptual and policy primer. Harvard University Press.
23.
GartnerW. B. (1985). A conceptual framework for describing the phenomenon of new venture creation. Academy of Management Review, 10(4), 696–706. https://doi.org/10.5465/amr.1985.4279094
24.
GelmanA.CarlinJ.SternH.RubinD. (2003). Bayesian data analysis (3rd ed.). CRC Press.
25.
GreveH. R. (2002). An ecological theory of spatial evolution: Local density dependence in Tokyo banking, 1894–1936. Social Forces, 80(3), 847–879. https://doi.org/10.1353/sof.2002.0006
26.
GreveH. R.RaoH. (2012). Echoes of the past: Organizational foundings as sources of an institutional legacy of mutualism. American Journal of Sociology, 118(3), 635–675. https://doi.org/10.1086/667721
27.
HannanM. T.FreemanJ. (1989). Organizational ecology. Harvard University Press.
28.
HarrellF. E. (2015). Regression modeling strategies: With applications to linear models, logistic and ordinal regression, and survival analysis. Springer International Publishing. https://doi.org/10.1007/978-3-319-19425-7
29.
HarrisonT. D.ThorntonJ. (2022). Further evidence on competition in nonprofit donor markets. Nonprofit and Voluntary Sector Quarterly, 51(4), 713–735. https://doi.org/10.1177/08997640211057394
30.
Joassart-MarcelliP.WolchJ. R. (2003). The intrametropolitan geography of poverty and the nonprofit sector in Southern California. Nonprofit and Voluntary Sector Quarterly, 32(1), 70–96. https://doi.org/10.1177/0899764002250007
31.
KrysanM.CrowderK. (2017). Cycle of segregation: Social processes and residential stratification (1st ed.). Russell Sage Foundation.
32.
LamM.McDougleL. (2016). Community variation in the financial health of nonprofit human service organizations: An examination of organizational and contextual effects. Nonprofit and Voluntary Sector Quarterly, 45(3), 500–525. https://doi.org/10.1177/0899764015591365
33.
LecyJ. D.Van SlykeD. M. (2013). Nonprofit sector growth and density: Testing theories of government support. Journal of Public Administration Research and Theory, 23(1), 189–214. https://doi.org/10.1093/jopart/mus010
34.
LomiA. (1995). The population ecology of organizational founding: Location dependence and unobserved heterogeneity. Administrative Science Quarterly, 40(1), 111–144. https://doi.org/10.2307/2393702
35.
MacIndoeH.OakleyD. (2023). Encouraging a spatial perspective in third sector studies: Exploratory spatial data analysis and spatial regression analysis. VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations, 34(1), 64–75. https://doi.org/10.1007/s11266-022-00459-6
36.
MallachA. (2018). The divided city: Poverty and prosperity in America (2nd ed.). Island Press.
37.
MarwellN. P. (2004). Privatizing the welfare state: Nonprofit community-based organizations as political actors. American Sociological Review, 69(2), 265–291. https://doi.org/10.1177/000312240406900206
38.
MayerD. J. (2023a). Understanding location and density: A spatial analysis of Cuyahoga County Ohio’s nonprofit sector. Nonprofit and Voluntary Sector Quarterly. Advance online publication. https://doi.org/10.1177/08997640231171074
39.
MayerD. J. (2023b). Understanding social disorganization and the nonprofit infrastructure: an ecological study of child maltreatment rates. Social Currents, 10(5), 429–447. https://doi.org/10.1177/23294965231159317
40.
MayerD. J.FischerR. L. (2022). Can a measurement error perspective improve estimation in neighborhood effects research? A hierarchical Bayesian methodology. Social Science Quarterly, 103(5), 1260–1272. https://doi.org/10.1111/ssqu.13190
41.
McDonnellD.MohanJ.NormanP. (2020). Charity density and social need: A longitudinal perspective. Nonprofit and Voluntary Sector Quarterly, 49(5), 1082–1104. https://doi.org/10.1177/0899764020911199
42.
MeleC. (2013). Neoliberalism, race and the redefining of urban redevelopment. International Journal of Urban and Regional Research, 37(2), 598–617. https://doi.org/10.1111/j.1468-2427.2012.01144.x
NewmanW. H.WallenderH. W. (1978). Managing not-for-profit enterprises. The Academy of Management Review, 3(1), 24–31. https://doi.org/10.2307/257573
45.
PaarlbergL. E.HwangH. (2017). The heterogeneity of competitive forces: The impact of competition for resources on United Way fundraising. Nonprofit and Voluntary Sector Quarterly, 46(5), 897–921. https://doi.org/10.1177/0899764017713874
46.
PeckJ.TheodoreN.BrennerN. (2009). Neoliberal urbanism: Models, moments, mutations. SAIS Review of International Affairs, 29(1), 49–66. https://doi.org/10.1353/sais.0.0028
47.
PeckL. R. (2008). Do antipoverty nonprofits locate where people need them? Evidence from a spatial analysis of phoenix. Nonprofit and Voluntary Sector Quarterly, 37(1), 138–151. https://doi.org/10.1177/0899764006298963
48.
RaoJ. N. K.MolinaI. (2015). Small area estimation (2nd ed.). John Wiley & Sons.
49.
RoudebushM. M.BrudneyJ. L. (2012). Making policy without parameters: Obtaining data on the nonprofit sector in a local community. Nonprofit Policy Forum, 3(1), Article 2. https://doi.org/10.1515/2154-3348.1044
50.
RueH.MartinoS.ChopinN. (2009). Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations. Journal of the Royal Statistical Society Series B, 71(2), 319–392. https://doi.org/10.1111/j.1467-9868.2008.00700.x
51.
RueH.RieblerA.SørbyeS. H.IllianJ. B.SimpsonD. P.LindgrenF. K. (2017). Bayesian computing with INLA: A review. Annual Review of Statistics and Its Application, 4(1), 395–421. https://doi.org/10.1146/annurev-statistics-060116-054045
SorensonO.AudiaP. G. (2000). The social structure of entrepreneurial activity: Geographic concentration of footwear production in the United States, 1940–1989. American Journal of Sociology, 106(2), 424–462. https://doi.org/10.1086/316962
55.
SwaminathanA. (1996). Environmental conditions at founding and organizational mortality: A trial-by-fire model. The Academy of Management Journal, 39(5), 1350–1377. https://doi.org/10.2307/257002
56.
TwomblyE. C. (2003). What factors affect the entry and exit of nonprofit human service organizations in metropolitan areas?Nonprofit and Voluntary Sector Quarterly, 32(2), 211–235. https://doi.org/10.1177/0899764003032002003
57.
van DijkJ.PellenbargP. (2000). The demography of firms: Progress and problems in empirical research. In van DijkJ.PellenbargP. (Eds.), Demography of firms: Spatial dynamics of firm behaviour (pp. 325–337). Netherlands Geographical Studies.
WagenmakersE. J.FarrellS. (2004). AIC model selection using Akaike weights. Psychonomic Bulletin & Review, 11(1), 192–196. https://doi.org/10.3758/BF03206482
60.
WezelF. C. (2005). Location dependence and industry evolution: Founding rates in the United Kingdom motorcycle industry, 1895–1993. Organization Studies, 26(5), 729–754. https://doi.org/10.1177/0170840605051823
61.
WilsonD. (1993). Everyday life, spatiality and inner city disinvestment in a US city. International Journal of Urban and Regional Research, 17(4), 578–594. https://doi.org/10.1111/j.1468-2427.1993.tb00242.x
62.
WilsonW. J. (1987). The truly disadvantaged: The inner city, the underclass, and public policy. University of Chicago Press.
63.
WilsonW. J. (1997). When work disappears: The world of the new urban poor (1st ed.). Vintage Book Company.
64.
WoJ. C. (2018). Understanding the density of nonprofit organizations across Los Angeles neighborhoods: Does concentrated disadvantage and violent crime matter?Social Science Research, 71(7), 56–71. https://doi.org/10.1016/j.ssresearch.2018.01.001
65.
WoJ. C.HippJ. R.BoessenA. (2016). Voluntary organizations and neighborhood crime: A dynamic perspective. Criminology, 54(2), 212–241. https://doi.org/10.1111/1745-9125.12101
66.
WolchJ. R.GeigerR. K. (1983). The distribution of urban voluntary resources: An exploratory analysis. Environment and Planning A: Economy and Space, 15(8), 1067–1082. https://doi.org/10.1068/a151067
67.
WooC.JungH. (2023). Exploring the regional determinants of the emergence of Social Enterprises in South Korea: An entrepreneurial ecosystem perspective. Nonprofit and Voluntary Sector Quarterly, 52(3), 723–744. https://doi.org/10.1177/08997640221110211
68.
YanJ.GuoC.PaarlbergL. E. (2014). Are nonprofit antipoverty organizations located where they are needed? A spatial analysis of the greater Hartford region. The American Statistician, 68(4), 243–252. https://doi.org/10.1080/00031305.2014.955211
69.
YoungD. R. (1983). If not for profit, for what? A behavioral theory of the nonprofit sector based on entrepreneurship. Lexington Books.
70.
YoungD. R. (2006). Complementary, supplementary or adversarial? A theoretical and historical examination of nonprofit-government relations in the U.S. In BorisE.SteuerleC. (Eds.), Nonprofits and government: Collaboration and conflict (2nd ed., pp. 31–67). Urban Institute Press.
