Hostname: page-component-89b8bd64d-ktprf Total loading time: 0 Render date: 2026-05-06T12:03:43.280Z Has data issue: false hasContentIssue false

Women candidates and mayors in Italy (1993–2021)

Published online by Cambridge University Press:  21 November 2024

Anna Carola Freschi
Affiliation:
Department of Social, Political and Cognitive Sciences (DISPOC), University of Siena, Siena, Italy
Vittorio Mete*
Affiliation:
Department of Political and Social Sciences, University of Florence, Florence, Italy
*
Corresponding author: Vittorio Mete; Email: vittorio.mete@unifi.it
Rights & Permissions [Opens in a new window]

Abstract

This article uses an original dataset to sketch a portrait of women mayoral candidates and women elected as mayors in Italy in the period 1993–2021. The analysis highlights several significant findings. Women must compensate for their political marginality by deploying other resources, such as higher levels of education. Nevertheless, women are penalised not only by the reluctance of parties to put them forward as candidates, but also by the elections themselves. More specifically, the electoral presence and strength of women decreases when the population size of the municipality grows, except for municipalities with more than 100,000 inhabitants. Moreover, women candidates are most disadvantaged in geographical areas where the socioeconomic condition of women is more marginal. However, women mayors running for a second mandate have the same chance of winning as men. Finally, it is the protest parties, rather than the left-wing parties, that are revealed as doing the most to promote women.

Utilizzando un dataset originale ed esaustivo, l'articolo delinea un ritratto delle donne candidate sindaco ed elette alla carica di sindaco in Italia nel periodo 1993–2021. L'analisi evidenzia diversi risultati interessanti. Per compensare la loro marginalità politica, le donne devono impiegare altre risorse, come un livello di istruzione più elevato. Tuttavia, le donne non sono penalizzate solo dalla riluttanza dei partiti a proporle come candidate, ma anche dal filtro elettorale. In particolare, la presenza e la forza elettorale delle donne diminuisce al crescere della popolazione del comune, ad eccezione dei comuni con più di 100.000 abitanti. Inoltre, le candidate risultano più svantaggiate nelle aree geografiche in cui la condizione socio-economica delle donne è mediamente più marginale. Malgrado ciò, le donne sindaco che si candidano per un secondo mandato hanno le stesse possibilità di vittoria degli uomini. Infine, non sono i partiti di sinistra a promuovere di più le donne, ma i partiti di protesta.

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 (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press on behalf of Association for the Study of Modern Italy
Figure 0

Figure 1. Percentage of women candidates and elected women (1993–2021) (N = 16,356)

Figure 1

Figure 2. Percentage of women candidates and elected women by age at the time of voting (N = 12,002)

Figure 2

Figure 3. Education levels of candidates, both men and women (N = 95,933)

Figure 3

Figure 4a. Percentage of women candidates out of total candidates

Figure 4

Figure 4b. Percentage of elected women out of total elected mayors

Figure 5

Figure 4c. Percentage difference in average votes between women candidates and elected women

Figure 6

Figure 4d. Percentage difference in average votes between men candidates and women candidates

Figure 7

Figure 5. Rates of female activity and differences between the percentage of votes for men and women candidates (provincial averages; N = 123,787)

Figure 8

Figure 6. Percentage of women candidates and elected women by municipal population size (N = 123,787)

Figure 9

Figure 7. Percentage of women candidates and elected women according to the political leanings of the list or coalitions to which they are linked (N = 123,736)

Figure 10

Figure 8. Average percentage of votes for mayoral candidates by gender and political affiliation of the party, list or coalition to which they are linked (N = 123,736)

Figure 11

Figure 9. Logistic regressions of election outcome with respect to territorial and political covariates (N = 123,736)

Figure 12

Table 1. Logistic regression of election outcome with respect to territorial and political covariates (N = 123,736): women

Figure 13

Table 2. Logistic regression of election outcome with respect to territorial and political covariates (N = 123,736): men