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Cited by 1,214

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Governance by conditionality: EU rule transfer to the candidate countries of Central and Eastern Europe

Open access
Schimmelfennig, Frank, Sedelmeier, Ulrich·2004·Journal of European Public Policy

Abstract

In the process of the EU's eastern enlargement, the Central and Eastern European countries (CEECs) have undergone a major process of external governance. What are the main characteristics of the mode of EU external governance in this region, and under which conditions is it most effective for the transfer of EU rules to the CEECs? The article presents the findings of a collaborative international research project including comparative case studies of EU rule transfer in a great variety of policy areas and CEECs. They show that rule transfer is best explained by an external incentives model of governance; its effectiveness varies with the credibility of EU conditionality and the domestic costs of rule adoption. The impact of these conditions, however, depends on two contexts of conditionality: democratic conditionality and acquis conditionality.

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Metadata

Authors
Schimmelfennig, F., & Sedelmeier, U.
Venue
Journal of European Public Policy
Published
2004-01
Volume
11
Issue
4
Pages
661-679
ISSN
  • 1350-1763 (ISSN-L)
  • 1466-4429
OpenAlex
W2105621954
Cited by
1,214
References
1
FWCI
139.43
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Governance by conditionality: EU rule transfer to the candidate countries of Central and Eastern Europe. https://app.cochat.ai/papers/10.1080/1350176042000248089
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Schimmelfennig, F., & Sedelmeier, U. (2004). Governance by conditionality: EU rule transfer to the candidate countries of Central and Eastern Europe. Journal of European Public Policy. https://doi.org/10.1080/1350176042000248089

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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.