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Cited by 340

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

New Governance in the European Union: A Theoretical Perspective

Open access
Eberlein, Burkard, Kerwer, Dieter·2004·JCMS: Journal of Common Market Studies

Abstract

New modes of governance based on voluntary performance standards, rather than compulsory regulation, have gained salience in the European Union (EU). Can these new modes of governance offer a credible solution to the current challenges faced by EU policy‐making? In this article, we assess the potential of new governance in the light of the theory of democratic experimentalism. This theoretical perspective suggests, first, that co‐ordination by voluntary performance standards can lead to more effective rules and more opportunities for political participation; second, that the scope of this mode of governance in the EU is not confined to cases which are explicitly flagged as new governance; and third, that one of the main problems is how a voluntary mode of governance can coexist with compulsory regulation.

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Crossref · 10.1111/j.0021-9886.2004.00479.x

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Metadata

Authors
Eberlein, B., & Kerwer, D.
Venue
JCMS: Journal of Common Market Studies
Publisher
Wiley
Published
2004-02
Volume
42
Issue
1
Pages
121-142
ISSN
  • 0021-9886 (ISSN-L)
  • 1468-5965
OpenAlex
W2103242682
Cited by
340
References
29
FWCI
184.47
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: New Governance in the European Union: A Theoretical Perspective. https://app.cochat.ai/papers/10.1111/j.0021-9886.2004.00479.x
The paper
Eberlein, B., & Kerwer, D. (2004). New Governance in the European Union: A Theoretical Perspective. JCMS: Journal of Common Market Studies. https://doi.org/10.1111/j.0021-9886.2004.00479.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.