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Cited by 253

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Centripetal Democratic Governance: A Theory and Global Inquiry

GERRING, JOHN, THACKER, STROM C., MORENO, CAROLA·2005·American Political Science Review

Abstract

Why are some democratic governments more successful than others? What impact do various political institutions have on the quality of governance? This paper develops and tests a new theory of democratic governance. This theory, which we label centripetalism, stands in contrast to the dominant paradigm of decentralism. The centripetal theory of governance argues that democratic institutions work best when they are able to reconcile the twin goals of centralized authority and broad inclusion. At the constitutional level, our theory argues that unitary, parliamentary, and list-PR systems (as opposed to decentralized federal, presidential, and nonproportional ones) help promote both authority and inclusion, and therefore better governance outcomes. We test the theory by examining the impact of centripetalism on eight indicators of governance that range across the areas of state capacity, economic policy and performance, and human development. Results are consistent with the theory and robust to a variety of specifications.

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Metadata

Authors
GERRING, J., THACKER, S. C., & MORENO, C.
Venue
American Political Science Review
Published
2005-10-31
Volume
99
Issue
4
Pages
567-581
ISSN
  • 0003-0554 (ISSN-L)
  • 1537-5943
OpenAlex
W2159137790
Cited by
253
References
4
FWCI
35.10
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Centripetal Democratic Governance: A Theory and Global Inquiry. https://app.cochat.ai/papers/10.1017/s0003055405051889
The paper
GERRING, J., THACKER, S. C., & MORENO, C. (2005). Centripetal Democratic Governance: A Theory and Global Inquiry. American Political Science Review. https://doi.org/10.1017/s0003055405051889

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.