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Overcoming History Through Exit or Integration: Deep-Rooted Sources of Support for the European Union

Published online by Cambridge University Press:  27 October 2020

KAI GEHRING*
Affiliation:
University of Zurich and CESifo
*
Kai Gehring, Senior Researcher, Department of Political Science, University of Zurich, and CESifo, mail@kai-gehring.net.
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Abstract

The origins of voter preferences about the vertical distribution of political power in federal systems are not well understood. I argue that negative historical experiences with higher-level governments can raise demands for both exit strategies and a decentralization of power, but also for upward integration. I specify conditions when delegating power upwards, for example, from the nation-state to a supranational level or international organization, can better serve the purpose of constraining nation-state actions to overcome history. Empirically, the quasi-random division of the French regions Alsace and Lorraine allows estimating differences in support for integration with a spatial regression discontinuity design. More negative exposure to nation-state actions causes persistently higher support for European integration in three referenda and less Euroscepticism in EU elections. Survey evidence supports exit and integration as two complementary alternatives. Both options can serve the purpose of moving power away from the government level associated with negative historical experiences.

Information

Type
Research Article
Copyright
© The Author(s), 2020. Published by Cambridge University Press on behalf of the American Political Science Association
Figure 0

Figure 1. Alsace and Lorraine: Départements Before and After Division in 1870/71Note: Author’s depictions using ArcGIS and official administrative shapefiles. Linguistic border georeferenced from Harp (1998).

Figure 1

Figure 2. Simplified Timeline of Events in Alsace-LorraineNote: Author’s creation. The timeline provides a simplified version of the events in the French-German border regions Alsace and Lorraine. The Franco-Prussian War caused a split of the initially homogenous regions. Between 1870 and the 1950s, one part of the region was more negatively exposed to nation-state actions by France and Germany. Both parts were reintegrated in a common French region after WW2.

Figure 2

Table 1. Overview of Policy Categories and Examples

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Table 2. Descriptive Table for Outcomes

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Figure 3. Cahiers de DoléancesNote: Based on the city-area-level Cahiers de Doléances from 1789, as quantified by Hyslop (1968). The city-area measures are based on more disaggregate reports in verbal form. The value 3 corresponds to “National patriotism strongest,” 2 corresponds to “Mixed loyalties: national patriotism combined with regionalism or other,” and 1 corresponds to “Regional, or other, outweigh national patriotism.” I have data for two classes that represent ordinary French citizens: “third estate” and “unified orders.” Mean refers to the arithmetic average. Table A.1 shows the location of Cahiers units.

Figure 5

Figure 4. Smoothness in Pretreatment Variables at the BorderNote: The table shows the RD coefficients with 95% confidence interval. All variables are standardized with mean zero and variance one. Detailed regression results in Table D.1.

Figure 6

Figure 5. EU Support and Euroscepticism—Maps and RD Plots. a.) Average Agreement in EU Referendum 1972 in %. b.) Agreement in EU Referenda, Average in 1992 and 2005 in %. c.) Average Vote Share of Eurosceptic Parties in EU Parliamentary Elections 1994–2004 in %.

Figure 7

Table 3. Results for RD — EU Support and Euroscepticism (1992–2005)

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Figure 6. Robustness — Modified Border Excluding Overlaps with Linguistic BorderNote: The coefficient plot displays the main and alternative treatment coefficients, with standard errors clustered on the cantonal level. EU support is average of the share of people voting “Yes” in the Maastricht referendum 1992 and in the European Constitution referendum in 2005. Euroscepticism is the weighted Eurosceptic party share in European parliamentary elections between 1994 and 2004. Baseline is the complete border, modified only by excluding the part not overlapping with language border (see map on the right). Optimal bandwidth is selected following the mean-square-error criterion (Calonico et al. 2017). Included controls are distances to Germany (border), Metz, Strasbourg, Nancy, and Mulhouse. Corresponding regression results are in Table D.10. Figure D.1 shows the results of a further test excluding all German-speaking municipalities altogether. Figure D.2 presents the results for additional outcomes. Source of linguistic border: Harp (1998).

Figure 9

Figure 7. Mechanisms—Population Changes, Socioeconomic Factors, and Public GoodsNote: Panels A–C show RD values, and panel D shows the OLS coefficients, with 95% confidence intervals. Public good provision is measured per capita. We use the oldest available measures since 1990 (year in parentheses), see Figure C.2 for additional years. All variables were standardized with mean zero and variance one. Included controls in panels A–C are the distances to Germany (border), Metz, Strasbourg, Nancy, Mulhouse, and 5 segment-fixed effects. Detailed results are in Table D.3. The OLS regressions in panel D are at the département level and control for respondent age, employment status, education, and sex. Source of European identity measures is the Observatoire Interregional du Politique (OIP).

Figure 10

Table 4. Nested Identities: EU, National, and Regional (Alsace and Lorraine) Level

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Figure 8. Placebo Borders. (a) Départements at the French Border. (b) Control Area vs. Rest of France Border. (c) Pre-1870 Meurthe-Moselle Border. (d) Coefficient Plots at Placebo Borders.Note: Map (a) shows the départements at the French border (black) and their adjacent départements (gray). This excludes the départements that constitute Alsace and Lorraine and the second-row département Haute Marne. Haute Marne has no counterfactual on the first-row side due to this exclusion of the Alsace and Lorraine regions. The border separating first and second row départements is used as a placebo border (bold orange line). Map (b) displays the border between the former départements Meurthe and Moselle before 1871 (bold orange line). Map (c) shows the border between the control départments in the main regression and their adjacent départements inland (bold orange line). The coefficient plot displays the placebo treatment coefficients. EU Support is the average share of people voting “Yes” in the 1992 and 2005 referenda. Euroscepticism is the Eurosceptism score for EU parliamentary elections between 1994 and 2004. The optimal bandwidth is selected with respect to the mean-square-error criterion (Calonico et al. 2017). Included controls: distance to Germany (border), distance to Metz, distance to Strasbourg, distance to Nancy, and distance to Mulhouse. Detailed results are in Table D.13.

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