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When the Church Votes Left: How Progressive Bishops Supported the Workers’ Party in Brazil

Published online by Cambridge University Press:  24 February 2026

GUADALUPE TUÑÓN*
Affiliation:
Princeton University , United States
*
Guadalupe Tuñón, Assistant Professor, Department of Politics and School of Public and International Affairs, Princeton University, United States, tunon@princeton.edu.
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Abstract

Social scientists routinely characterize religious influence in electoral politics as conservative and left-wing parties as fundamentally secular. Against these claims, I argue that the relationship between religion and electoral politics is shaped by the redistributive beliefs and preferences of religious leaders, who can become valuable allies of left-wing parties. I evaluate this argument in Brazil following the appointment of Pope John Paul II, leveraging as-if random variation in municipalities’ exposure to progressive Catholic bishops. I show that bishops who actively supported state-led redistribution were essential to the electoral success of the left-wing Workers’ Party (Partido dos Trabalhadores [PT]). Voters in municipalities with longer exposure to these bishops supported the PT at higher rates. The findings highlight the under-examined role of religious leaders in shaping the electoral influence of religion and provide evidence that these leaders can, in fact, be key for the development of left-wing parties, especially in the developing world.

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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
© The Author(s), 2026. Published by Cambridge University Press on behalf of American Political Science Association
Figure 0

Figure 1. Territorial Expansion of the PT, 1989–2002Note: The figure illustrates the growth in the PT’s vote share in Brazil’s first four direct presidential elections after the democratic transition, 1989–2002. Darker shades indicate higher vote shares. The black lines denote state borders.

Figure 1

Figure 2. First Stage: Mandated and Observed Length of Exposure to a Progressive BishopNote: The figure examines the strength of the first-stage relationship between the year of mandated retirement and the observed length of exposure to a progressive bishop. Panel (a) shows a scatterplot of the raw variables—the year of mandated replacement and the year of the first JPII appointment for each diocese. The solid line marks the regression line, and the dashed line illustrates perfect compliance. Panel (b) reports the main coefficient from the first-stage regression for each year between 1979 and 2015. Panel (c) reports the corresponding F-statistic for each year. In Panels (b) and (c), estimates for the years that are employed in the main analysis are highlighted in black.

Figure 2

Figure 3. Mandated Exposure to Progressive Bishops, 1989–2002Note: The figure shows the values of mandated exposure for the year of each presidential election included in the analysis. Darker shades indicate longer exposure to a progressive bishop. Archdioceses—which are excluded from the main analysis—are shaded in black. The black lines denote state borders.

Figure 3

Table 1. Effects of the Length of Exposure to Progressive Bishops on the PT’s Presidential Vote Share

Figure 4

Table 2. The Effect of JPII Bishops on Priest Turnover

Figure 5

Table 3. The Effect of JPII Bishops on the Local Expansion of the PT

Figure 6

Figure 4. Marginal Effects of the Length of Exposure to a Progressive Bishop on the PT’s Vote ShareNote: The figures show that the electoral benefits of longer exposure to progressive bishops were concentrated in municipalities where the PT could not rely on labor unions for mobilization, as measured by the share of workers in manufacturing and construction (left) or agriculture, fishing, and forestry (right). The dependent variable is the PT’s vote share in 2002. The estimation follows the reduced-form intention-to-treat model in Equation 1, adding each labor strength variable as a moderator. The unit of analysis is the municipality. Standard errors are clustered at the 1978 diocese level. All specifications include state fixed effects.

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