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Cited by 1,047

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.

Urban Regimes and the Capacity to Govern: A Political Economy Approach

Stone, Clarence N.·1993·Journal of Urban Affairs

Abstract

:Regime theory starts with the proposition that governing capacity is not easily captured through the electoral process. Governing capacity is created and maintained by bringing together coalition partners with appropriate resources, nongovernmental as well as governmental. If a governing coalition is to be viable, it must be able to mobilize resources commensurate with its main policy agenda. The author uses this reasoning as the foundation/or comparing regimes by the nature and difficulty of the government tasks they undertake and the level and kind of resources required for these tasks. Political leadership, he argues, is a creative exercise of political choice, involving the ability to craft arrangements through which resources can be mobilized, thus enabling a community to accomplish difficult and nonroutine goals.

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Crossref · 10.1111/j.1467-9906.1993.tb00300.x

Cites

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Metadata

Authors
Stone, C. N.
Venue
Journal of Urban Affairs
Published
1993-03
Volume
15
Issue
1
Pages
1-28
ISSN
  • 0735-2166 (ISSN-L)
  • 1467-9906
OpenAlex
W2107133248
Cited by
1,047
References
37
FWCI
26.45
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Urban Regimes and the Capacity to Govern: A Political Economy Approach. https://app.cochat.ai/papers/10.1111/j.1467-9906.1993.tb00300.x
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Stone, C. N. (1993). Urban Regimes and the Capacity to Govern: A Political Economy Approach. Journal of Urban Affairs. https://doi.org/10.1111/j.1467-9906.1993.tb00300.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.