Massachusetts Institute of Technology
Electoral backlash against climate policy : a natural experiment on retrospective voting and local resistance to public policy
Abstract
dc:description.abstractRetrospective voting studies typically examine policies where the public has common interests. By contrast, climate policy has broad public support but concentrated opposition in communities where costs are imposed. This spatial distribution of weak supporters and strong, local opponents mirrors opposition to other policies with diffuse public benefits and concentrated local costs. I use a natural experiment to investigate whether citizens living in proximity to wind energy projects retrospectively punished an incumbent government because of its climate policy. Using both fixed effects and instrumental variable estimators, I identify electoral losses for the incumbent party ranging from 4-10%, with the effect persisting 3 km from wind turbines. Voters also discriminate by correctly punishing the level of government responsible for the policy, providing evidence that voters are informed. I conclude that the spatial distribution of citizens' policy preferences can affect democratic accountability and exacerbate political barriers to addressing climate change.
Degree
thesis:*- Department dc:contributor.department
- Massachusetts Institute of Technology. Department of Political Science.
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2015
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Stokes, Leah C
- Advisor dc:contributor.advisor
-
- Christopher Warshaw.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/99561
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/99561