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Conditional Humanitarianism: Citizen Preferences for Economic Sanctions in Democratic Sender States

Published online by Cambridge University Press:  11 May 2026

Moritz Emanuel Bondeli*
Affiliation:
Institute for the Social Sciences, Humboldt University, Berlin, Germany Department of Political Science, Yale University, New Haven, CT, USA
Isabela Mares
Affiliation:
Department of Political Science, Yale University, New Haven, CT, USA
Ryan Pike
Affiliation:
Department of Political Science, Yale University, New Haven, CT, USA
*
Corresponding author: Moritz Emanuel Bondeli; Email: moritz.bondeli@hu-berlin.de
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Abstract

Economic sanctions are a critical tool of international diplomacy. Existing scholarship shows that citizens in democratic sender states value sanctions that are effective in producing policy concessions. However, they also seek to limit the adverse humanitarian consequences of sanction imposition. How do citizens trade off these objectives against each other? We develop a theory of sanctions preferences where citizens (1) value policy concessions, (2) hold humanitarian motivations and (3) hold beliefs about how policy change occurs in autocracies. We argue that citizens are conditional humanitarians – humanitarian concerns dominate effectiveness considerations only if policy concessions are unlikely. Results from a pre-registered willingness-to-pay experiment examining the preferences of German citizens on sanctions against Russia after its invasion of Ukraine confirm the predictions of our theory.

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Type
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 Government and Opposition Ltd.
Figure 0

Figure 1. Decision Tree for Sanctions against Autocracies with Pivotal Elites

Figure 1

Table 1. Sanction Policy Features and Levels: Conjoint Task

Figure 2

Figure 2. Density Plots for Baseline Energy Expenditure and WTP

Figure 3

Figure 3. AMCEs of Sanction Features on WTP

Notes: The plot shows AMCEs relative to the reference level and corresponding 95% confidence intervals, with standard errors clustered at the respondent level. To see the same analysis in a regression framework, see Table A.1, model A.1, in the Supplementary Material.
Figure 4

Figure 4. Average WTP as a Function of Oligarch Expropriation and Target Country Unemployment

Notes: The plot shows marginal means and corresponding 95% confidence intervals. To see the same analysis in a regression framework, see Table A.1, model A.2, in the Supplementary Material.
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