Private response to exclusionary welfare policy: Evidence from Italian municipalities
Exclusionary welfare policies are among the flagship proposals in the economic agenda of the far right. Yet, there is little empirical evidence as to whether – after gaining power – such parties do indeed cut welfare provisions for immigrants. Using data on more than 6 million procurement contracts within a close-election Regression Discontinuity Design, I estimate that Italian mayors supported by the far right significantly cut welfare spending for immigrants and refugees. However, using novel data on volunteering associations, I also show that the narrow victory of a far-right coalition is followed by a 9.6 % growth in the per-capita number of local NGOs. The effect is driven by social welfare associations, which provide poverty relief and assistance to vulnerable individuals. Individual-level survey data document how the growth in volunteering is driven by left-leaning citizens with positive attitudes toward immigrants. These findings show how – following political turnovers – the non-profit sector can substitute the state in the provision of public goods that are off the agenda of incumbent policymakers. • Narrow victories of far-right mayoral coalitions in Italy cause significant cuts in spending for immigrants and refugees. • However, these victories also cause a 9.6 % growth in the number of local NGOs, driven by those providing social welfare services. • These effects are specific to cases in which the far right has enough policy leeway in the municipal council. • Survey data show that mobilization is driven by progressive citizens, who are significantly more likely to volunteer when the far right is in power in their municipality.
Authors
- Massimo Pulejo (ORCID: https://orcid.org/0000-0002-0281-0221)
Institutions
- Roma Tre University (IT)
Publication Details
- Journal
- Journal of Public Economics
- Published
- 2025-06-17
- DOI
- https://doi.org/10.1016/j.jpubeco.2025.105425
- Citations
- 1
- Primary Topic
- Urban, Neighborhood, and Segregation Studies
- Type
- article
- Field-Weighted Citation Impact
- 4.20
Funders
- Fondazione Roberto Franceschi