Hostname: page-component-76d6cb85b7-f97m6 Total loading time: 0 Render date: 2026-07-13T16:49:40.002Z Has data issue: false hasContentIssue false

Public funding of interest organizations during the Covid-19 crisis: rewarding need or rent-seeking?

Published online by Cambridge University Press:  05 June 2026

Wiebke Marie Junk
Affiliation:
University of Copenhagen, Denmark
Michele Crepaz
Affiliation:
Centre for Public Policy and Administration, Queen’s University Belfast, UK
Marcel Hanegraaff*
Affiliation:
Political science, Universiteit van Amsterdam, Netherlands
*
Corresponding author: Marcel Hanegraaff; Email: m.c.hanegraaff@uva.nl
Rights & Permissions [Opens in a new window]

Abstract

The Covid-19 pandemic entailed a historic high in public spending. Some of these resources were channeled through interest organizations, such as business groups and non-profits. In this paper, we gauge potential inefficiencies in their distribution. Funds may be distributed according to the logic of rent-seeking, whereby organizations use lobbying to extract benefits from the state, or a pluralist logic of disturbances, where funding allocation follows organizational grievances. These two logics might even interact, meaning that organizations in need ought to signal their needs through lobbying first. We use data from two survey waves in eight European polities to test these arguments. Our findings provide support for theories of rent-seeking, showing that lobbying activities are associated with increases in public funding, whereas organizations’ needs and survival fears are not. However, our exploration of interaction effects nuances this picture. Our study sheds light on important dynamics behind resource allocation when crisis-related public spending is high.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of Vinod K. Aggarwal
Figure 0

Figure 1. Distribution of public funding changes, N = 360.

Figure 1

Figure 2. Coefficient plots of regressions with 2021 measures.Notes: Results of two ordered logistic regressions on changes in public funding. Coefficients and 95/90 percent confidence intervals. N = 314 (model 1) and N = 309 (model 2). Coefficients not shown for: age; fixed effect for country (see Appendix, Table C1, models 1 and 2, for full results). Organization type and Resources are categorical variables with the reference categories: “Business groups & firms” and “Low resources,” respectively.

Figure 2

Figure 3. Coefficient plots of regressions with 2020 measures.Notes: Results of two ordered logistic regressions on changes in public funding. Coefficients and 95/90 percent confidence intervals. N = 198 (model 1) and N = 194 (model 2); reduced N because of relying on two survey waves. Coefficients not shown for: age; fixed effect for country (see Appendix C Table C1, models 3 and 4, for full results). Organization type and Resources are categorical variables with the reference categories: “Business groups & firms” and “Low resources,” respectively.

Figure 3

Figure 4. Predicted probabilities of funding increases, based on Model 3 Table D1, N = 314.

Figure 4

Figure 5. Predicted probabilities of funding increases, based on Model 4 Table D1, N = 314.

Supplementary material: File

Junk et al. supplementary material

Junk et al. supplementary material
Download Junk et al. supplementary material(File)
File 379.9 KB