Hostname: page-component-74656f9884-kv2lp Total loading time: 0 Render date: 2026-11-05T22:39:33.090Z Has data issue: false hasContentIssue false

How transnational party alliances influence national parties' policies

Published online by Cambridge University Press:  14 January 2021

Roman Senninger*
Affiliation:
Department of Political Science, Aarhus University, Aarhus, Denmark
Daniel Bischof
Affiliation:
Department of Political Science, University of Zurich, Zurich, Switzerland
Lawrence Ezrow
Affiliation:
Department of Government, University of Essex, Colchester, United Kingdom
*
*Corresponding author. Email: rsenninger@ps.au.dk
Rights & Permissions [Opens in a new window]

Abstract

Previous research reports that parties in established European democracies learn from and emulate the successful election strategies of foreign incumbents, i.e., successful parties are influential abroad. We theorize that—in addition to incumbency (or success)—exchange takes place through transnational party alliances in the European Union. Relying on party manifesto data and spatial econometric analyses, we show that belonging to the same European Parliament (EP) party group enhances learning and emulation processes between national political parties. Estimated short- and long-term effects are approximately two and three times greater when foreign incumbents are in the same EP party group compared to other foreign incumbents. Our results have implications for our understanding of how transnational party groups influence national parties’ policy positions.

Information

Type
Research Note
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the European Political Science Association
Figure 0

Figure 1. Temporal short-term and asymptotic long-term effects if foreign incumbents in the same party group and in different party groups shift their left-righ position by one.Note: PES, Social Democrats; EPP, European People's Party; ALDE, Liberals; UEN, Union for Europe of the Nations.The horizontal bars are 95 percent confidence intervals and the vertical dashed line represents a spatial effect of 0. Estimates in the left panel are based on Models 4 and 5 in Table 1. Estimates in the right panel are based on the models in Table S2.

Figure 1

Table 1. Single and multiple spatial lag regression models (S-OLS and MSTAR)

Supplementary material: Link

Senninger et al Dataset

Link
Supplementary material: PDF

Senninger et al. supplementary material

Senninger et al. supplementary material

Download Senninger et al. supplementary material(PDF)
PDF 387.4 KB