Version 1.0

Replication Data for: Demolition and Discontent: Governing the Authoritarian City

Norton, Sean T.

Description

The presence of large cities increases the probability of authoritarian breakdown, but the literature has offered little empirical insight as to how challenges to authoritarian rule develop in urban space. I develop a theory of cities as complex socio-political spaces that are difficult to govern, particularly in the absence of democratic institutions. This complexity makes both cooptation and coercion difficult, meaning the very tactics that authoritarian cities use to control discontent can become its proximate cause. Using a large, city-financed housing project in Moscow targeted at rewarding regime supporters, I utilize a Bayesian semi-parametric model to demonstrate that even a seemingly well-targeted cooptive exchange contributed to a surprising defeat for the regime in a subsequent municipal election. My results suggest that the relative illegibility of cities plays an important part in the development of opposition to authoritarian rule.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.1

FAIR Score

15%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Harvard Dataverse

License

Custom terms specific to this dataset

Assigned Domain

Subfield

Political Science and International Relations

Field

Social Sciences

Domain

Social Sciences

Confidence Score

56%

Source

Scholar Data Model

Keywords

Social SciencesAuthoritarianismUrban politicsBayesian analysisElectoral authoritarianism

Normalization Factors

FT

43.27

CTw

1.00

MTw

1.00