A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
The Relationship Between Nonprofit Density and Socioeconomic Indicators in an Emerging Country
Tekijät: Dalvi, Rubia Bottacine; Mainardes, Emerson Wagner; Sepulcri, Lara Mendes Christ Bonella
Kustantaja: Springer
Kustannuspaikka: NEW YORK
Julkaisuvuosi: 2024
Journal: Voluntas: International Journal of Voluntary and Nonprofit Organizations
Tietokannassa oleva lehden nimi: VOLUNTAS
Lehden akronyymi: VOLUNTAS
Vuosikerta: 35
Numero: 6
Aloitussivu: 1091
Lopetussivu: 1104
Sivujen määrä: 14
ISSN: 0957-8765
eISSN: 1573-7888
DOI: https://doi.org/10.1007/s11266-024-00676-1
Verkko-osoite: https://doi.org/10.1007/s11266-024-00676-1
In this study, we examine the relationship between the density of nonprofits from five different subfields in a municipality and its socioeconomic indicators using available data from Brazil in the years of 2015 and 2016. The literature on nonprofit density is relevant in enhancing the understanding of the role of the nonprofit sector, evaluating its efficiency, and responding to the increasing demand for accountability. However, researchers have criticized the lack of sample representation in studies on this topic, which are mostly concentrated in large US cities. Using pooled OLS regression models, we show that Brazilian municipalities with better levels of development in terms of education, health, and employment and income have a greater number of nonprofit organizations in their territory. Our results partially support interdependence theory by highlighting the availability of resources as an important driver of nonprofit density.
Julkaisussa olevat rahoitustiedot:
This research was supported by the Brazilian National Council for Scientific and Technological Development (CNPq/Brazil), project 307202/2021–6, by Foundation for Research Support of Espírito Santo (FAPES/Brazil), projects 2022-687ZR (644/2022), 2022-31G9Q (1010/2022), and 30007011003P2 (02/2018), by Coordination for the Improvement of Higher Education Personnel (CAPES/Brazil), project 88881.361587 (2019/01), by Portuguese Science Foundation (FCT/Portugal) through NECE (Núcleo de Estudos em Ciências Empresariais), project UID/GES/04630/2020 and DOI: 10.54499/UIDP/04630/2020, and by IFTS (Instituto Fucape de Tecnologias Sociais), project 2024–2027.
