| Literature DB >> 35600325 |
R Bret Leary1, Rhiannon MacDonnell Mesler2, Bonnie Simpson3, Matthew D Meng4, William Montford5.
Abstract
In 2021, the United States government provided a third economic impact payment (EIP) for those designated as experiencing greater need due to the COVID-19 pandemic. With a particular focus on scarcity and ontological insecurity, we collected time-separated data prior to, and following, the third EIP to examine how these variables shape consumer allocation of stimulus funds. We find that scarcity is positively associated with feelings of ontological insecurity, which, interestingly, correlates to a greater allocation of stimulus funds toward charitable giving. We further find evidence that mutability moderates the relationship between ontological insecurity and allocations to charitable giving. In other words, it is those who feel most insecure, but perceive that their resource situation is within their control, who allocated more to charity giving. We discuss the implications of these findings for theory, policy-makers, and the transformative consumer research (TCR) movement.Entities:
Keywords: charitable giving; mutability; ontological security; scarcity
Year: 2022 PMID: 35600325 PMCID: PMC9115230 DOI: 10.1111/joca.12452
Source DB: PubMed Journal: J Consum Aff ISSN: 0022-0078
FIGURE 1Conceptual model
Descriptives and zero order correlations
| Means |
| OI | RS | KS | MS | TS | CS | Mut. | |
|---|---|---|---|---|---|---|---|---|---|
| Ontological insecurity (OI) | 1.87 | 0.89 | 1 | ||||||
| Relational scarcity (RS) | 1.80 | 0.90 | 0.34 | 1 | |||||
| Knowledge scarcity (KS) | 1.92 | 0.85 | 0.47 | 0.49 | 1 | ||||
| Material scarcity (MS) | 1.67 | 0.97 | 0.31 | 0.26 | 0.30 | 1 | |||
| Time scarcity (TS) | 2.66 | 0.89 | 0.21 | 0.15 | 0.16 | 0.13 | 1 | ||
| Composite perceived scarcity (PS) | 2.03 | 0.59 | 0.50 | 0.67 | 0.68 | 0.70 | 0.58 | 1 | |
| Mutability (Mut.) | 3.61 | 0.89 | −0.27 | −0.39 | −0.51 | −0.27 | −0.29 | −0.54 | 1 |
Significant at p < 0.01 level (2‐tailed).
Moderated mediation (mutability × ontological security on charitable giving)
| Regression coefficients (standard errors) analyses | ||||||
|---|---|---|---|---|---|---|
| Dependent variable: Charitable giving | ||||||
| Estimate |
|
|
| 95% LLCI | 95% ULCI | |
| Scarcity | −0.56 | 0.48 | −1.17 | 0.24 | −1.51 | 0.38 |
| Mutability | −0.09 | 0.27 | −0.32 | 0.75 | −0.61 | 0.44 |
| Ont. security | 0.78 | 0.31 | 2.46 | <0.05 | 0.16 | 1.39 |
| Mutability × Ont. security | 0.56 | 0.28 | 2.02 | <0.05 | 0.01 | 1.10 |
| Age | 0.01 | 0.02 | 0.75 | 0.45 | −0.02 | 0.05 |
| Gender | 0.59 | 0.36 | 1.65 | 0.10 | −0.11 | 1.30 |
| Marital status | −0.02 | 0.13 | −0.12 | 0.90 | −0.28 | 0.24 |
| Household income | 0.12 | 0.08 | 1.53 | 0.13 | −0.03 | 0.27 |
| Education | 0.31 | 0.16 | 1.94 | 0.05 | −0.004 | 0.62 |
Note: Model summary: F (9,623) = 2.56, p < 0.01; MxW highest order unconditional interaction: F (1,623) = 4.06, p < 0.05; Index of moderated mediation: index = 0.33, SE = 0.14, 95% LLCI = 0.11, 95% ULCI = 0.66.
FIGURE 2Path model