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Who Gets Credit? Citizen Responses to Local Public Goods

Published online by Cambridge University Press:  17 November 2023

Katherine McKiernan*
Affiliation:
Katherine McKiernan is a CIPR nonresident fellow at Tulane University, New Orleans LA, USA. katherinemckiernan@gmail.com.
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Abstract

In decentralized systems, citizens struggle to identify which level of government provides local goods. This problem is particularly salient in weakly institutionalized party environments, where politicians at different levels of government are less likely to benefit from partisan coattail effects. This article asks how citizens attribute credit for local public goods. I argue that citizens have a strong tendency to attribute credit to local politicians. As a result, citizens will respond differently to credit-claiming behavior by local and national politicians. Local politicians experience a ceiling effect, in which credit claiming has no effect on how citizens attribute credit. However, national politicians have no such ceiling and can claim credit to increase the likelihood that citizens will attribute credit to them. As a result, both political actors can receive credit for the same local goods. The article tests and supports these theoretical predictions using a vignette survey experiment in Colombia.

Information

Type
Research Article
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the University of Miami
Figure 0

Table 1. Sample Demographics

Figure 1

Figure 1. Differences of Means when the Representative or Mayor Attends. (a) Crediting the Mayor when the Representative Attends. (b) Crediting the Representative when the Representative Attends. (c) Crediting the Mayor when the Mayor Attends. (d) Crediting the Representative when the Mayor Attends

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Figure 2. Odds Ratio for Attributing Credit Across All Treatments

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Table 2. Within-Subject Analysis Expectations and Results

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Figure 3. Differences of Means for Vote Share Improving when the Representative Attends. (a) Difference of Means for the Mayor’s Vote Share Improving. (b) Difference of Means for Representative’s Vote Share Improving

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Figure 4. Odds Ratio for Improved Vote Share Across Treatments

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Figure 5. Mean Response to Changes in the Representative’s Vote Share Across Treatments

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Figure 6. Differences of Means for the Representative’s Vote Share Improving when the Representative Attends. (a) Respondents Who Believed the Mayor’s Vote Share Would Improve. (b) Respondents Who Believed the Representative’s Vote Share Would Improve. (c) Respondents Who Believed Both Politicians’ Vote Shares Would Improve