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Credit claiming and mayoral preferences for project uptake amid a migrant crisis

Published online by Cambridge University Press:  09 August 2022

Ricardo A. Bello-Gomez*
Affiliation:
Department of Political Science, Texas Tech University, Lubbock, USA
Claudia N. Avellaneda
Affiliation:
O’Neill School of Public and Environmental Affairs, Indiana University, Bloomington, USA
*
*Corresponding author: E-mail: rbellogo@ttu.edu
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Abstract

When considering taking over public projects, executives assess their perceived credit-claiming opportunities against potential blame attribution. The balance of these perceptions may shift under crisis. Meanwhile, the literature has mostly explored project uptake in delegation contexts when decisionmakers hold certain control powers over delegees, but not when such controls are absent. Amid one of the largest migrant crises worldwide, we conducted a survey experiment with 238 sitting Colombian mayors. We explore issue visibility, salience of project beneficiaries, and policy stage (formulation versus implementation) as drivers of mayors’ preferences for project uptake or cession to upper-level governments. Results reveal mayors are less likely to cede implementation to the national government when presented with a more visible project. Neither visibility nor beneficiaries’ salience affects mayoral preferences for project formulation on its own. However, mayors are less likely to delegate both formulation and implementation when beneficiaries are more salient to their constituents.

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
© The Author(s), 2022. Published by Cambridge University Press
Figure 0

Figure 1. Municipalities included in the survey experiment (in grey).

Figure 1

Table 1. Characteristics of included and nonincluded Colombian municipalities

Figure 2

Table 2. Vignettes presented to Colombian mayors

Figure 3

Table 3. Summary results by manipulated scenarios

Figure 4

Table 4. Combinations of formulation and implementation choices

Figure 5

Table 5. Balance tests

Figure 6

Table 6. Multinomial logistic regression – base choice: municipal

Figure 7

Table 7. OLS regression for cession to national level

Supplementary material: Link

Bello-Gomez and Avellaneda Dataset

Link