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Devolution and EU policy-shaping: bridging the gap between multi-level governance and liberal intergovernmentalism

Published online by Cambridge University Press:  25 February 2011

Michaël Tatham*
Affiliation:
Department of Social Sciences, Humboldt University, Berlin, Germany
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Abstract

This paper argues that the impact of devolution has been largely misperceived in both liberal intergovernmentalist (LI) and multi-level governance (MLG) accounts of European Union (EU) politics. To address the shortcomings of both LI and MLG, a new data set measuring institutionalized regional involvement in the domestic EU policy-shaping process in the EU-27 is presented. Analysis shows that the relationship between devolution and institutionalized regional involvement is overall positive but non-linear, with a strong threshold effect that is best captured by a quadratic function. The causal nature of the link between devolution and institutionalized regional involvement is ascertained through qualitative means using process tracing and Mill’s method of difference. The article concludes with the necessary updating of MLG and LI frameworks to account for the impact of devolution on EU policy-shaping.

Information

Type
Research Article
Copyright
Copyright © European Consortium for Political Research 2011
Figure 0

Table 1 Coding scheme: measurement of institutionalized regional involvement in the domestic EU policy-shaping process

Figure 1

Table 2 Eight indicators of institutionalized regional involvement in the domestic EU policy-shaping process

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Table 3 Summary of three institutionalized regional involvement indicators and RAI scores

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Table 4 Regional involvement and RAI descriptive statistics (n = 304)

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Figure 1 Relation between institutionalized regional involvement measures at the different legislative phases.

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Figure 2 Linear relation between regional authority and institutionalized regional involvement.

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Figure 3 Non-linear relation between regional authority and institutionalized regional involvement.

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Figure 4 Quadratic curve estimation and linear regression line of the relation between regional authority and institutionalized regional involvement.

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Figure 5 Quadratic, cubic, exponential, and logistic relations between regional authority and institutionalized regional involvement.

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Table 5 Model summaries and parameter estimates of the relationship between institutionalized regional involvement (Y) and regional authority (X)