Public subsidies and charitable giving: Crowding out, crowding in, or both?
By A. Brooks. 2000
183 citations recorded by the source corpus.
Subfields: Accounting, Economics and Econometrics, Gender Studies
View Paper: https://www.semanticscholar.org/paper/99b7a72e9e6a1cc1bc1075df61cbdae6294c0696
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Citations in the corpus
- A Literature Review of Empirical Studies of Philanthropy (2010, background): “For organizations in the health sector, several studies find some crowding out (Brooks, 2000a; Khanna, Posnett, & Sandler, 1995).”
- Altruism, Warm Glow and the Willingness-to-Donate for Green Electricity: An Artefactual Field Experiment (2005, background): “Brooks (2000) found empirical support for the hypothesis that low levels of subsidies to nonprofit organizations may encourage charitable giving, while high levels of government grants crowd-out private donations.”
- Government Support and Charitable Donations: A Meta-Analysis of the Crowding-out Hypothesis (2016, background): “Brooks (2000b) argues that, ideally, charitable organizations would maximize the total sum of government subsidies and private giving, which is the most efficient mix of revenues.”
- The Impact of Revenue Diversification on Nonprofit Financial Health: A Meta-analysis (2018, background): “In his investigation of American symphony orchestras, Brooks (2000) found that whether public subsidies substitute private donations depends on their magnitude relative to one another.”
- Using contingent valuation to explore willingness to pay for renewable energy: A comparison of collective and voluntary payment vehicles (2002, background): “Public goods theory predicts that this will be the case (Steinberg 1987, Cornes and Sandler 1986), and there is some empirical evidence to support the crowding out effect in other contexts (Brooks 2000); other empirical evidence shows the opposite effect (Richer 1995).”
- Exploring the Revenue Mix of Nonprofit Organizations: Does It Relate to Publicness? (2011, unknown): “The geographic localities in which a nonprofit operates may reflect differences in residents’ preferences and needs for services, with consequent variations in tax levels and government funding (Brooks, 2000).”