Which Citizens Do Elected Officials Target With Distributive Spending? A Survey Experiment on U.S. Municipal Officials
Bibliographic Data
| ID | 7626883 |
|---|---|
| Authors | Adam M Dynes (0000-0002-9153-5726, Brigham Young University, corresponding author) |
| Year | 2020 |
| Volume | 48 |
| Issue | 5 |
| Pages | 579-595 |
| Publication date | 2020-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Politics Research (JOURNAL) |
| Journal identifiers | ISSN: 1532-673X • E-ISSN: 1552-3373 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/1532673x20921372 |
| OpenAlex | W3033213197 |
| Language | EN |
| Citations received | 5 |
| References cited | 53 |
Research is mixed as to whether politicians target swing voters or core supporters with distributive spending and whether citizens’ turnout affects this strategy. I use a novel data set and research design to examine this—a survey experiment on elected municipal officials. Respondents indicated which of two neighborhoods to target with a local project. I find that local officials, on average, target swing neighborhoods over core ones because they believe that swing voters are more likely than core voters to electorally punish politicians for targeting other groups. Yet, a large proportion still target core voters but not for reasons consistent with extant theory. Officials generally target high turnout neighborhoods over low turnout ones but under certain conditions are also willing to target lower turnout citizens. These findings point to the need for ongoing work to identify the conditions under which officials will target core or swing voters
Extant taxon · Political science · Politics · Survey data collection · Swing · Turnout · Voter turnout · Voting · Electoral Systems and Political Participation · Fiscal Policies and Political Economy · Law · Local Government Finance and Decentralization · Public Administration
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| Unique citing works | 5 |
|---|---|
| Citations per year | 1 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 5 |