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Cited by 1,446

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

What Is Quality of Government? A Theory of Impartial Government Institutions

Open access
ROTHSTEIN, BO, TEORELL, JAN·2008·Governance

Abstract

The recent growth in research on “good governance” and the quality of government institutions has been propelled by empirical findings that show that such institutions may hold the key to understanding economic growth and social welfare in developing and transition countries. We argue, however, that a key issue has not been addressed, namely, what quality of government (QoG) actually means at the conceptual level. Based on analyses of political theory, we propose a more coherent and specific definition of QoG: the impartiality of institutions that exercise government authority. We relate the idea of impartiality to a series of criticisms stemming from the fields of public administration, public choice, multiculturalism, and feminism. To place the theory of impartiality in a larger context, we then contrast its scope and meaning with that of a threefold set of competing concepts of quality of government: democracy, the rule of law, and efficiency/effectiveness.

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Crossref · 10.1111/j.1468-0491.2008.00391.x

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Metadata

Authors
ROTHSTEIN, B., & TEORELL, J.
Venue
Governance
Publisher
Wiley
Published
2008-04
Volume
21
Issue
2
Pages
165-190
ISSN
  • 0952-1895 (ISSN-L)
  • 1468-0491
OpenAlex
W2123148076
Cited by
1,446
References
8
FWCI
324.79
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: What Is Quality of Government? A Theory of Impartial Government Institutions. https://app.cochat.ai/papers/10.1111/j.1468-0491.2008.00391.x
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ROTHSTEIN, B., & TEORELL, J. (2008). What Is Quality of Government? A Theory of Impartial Government Institutions. Governance. https://doi.org/10.1111/j.1468-0491.2008.00391.x

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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.