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Just to be clear? Strategic vagueness of the European Parliament in EU policy negotiations

Published online by Cambridge University Press:  28 August 2026

Aleksandra Khokhlova*
Affiliation:
Institute of Political Science, Leiden University, Netherlands
Nikoleta Yordanova
Affiliation:
Institute of Political Science, Leiden University, Netherlands
Anastasia Ershova
Affiliation:
School of Social Policy, Social Work and Social Justice, the Geary Institute for Public Policy, University College Dublin, Ireland
*
Corresponding author: Aleksandra Khokhlova; Email: a.khokhlova@fsw.leidenuniv.nl
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Abstract

Vague legislative language can facilitate law adoption and implementation but reduce policy effectiveness and application uniformity. So, when do legislators employ it? Building on policymaking and responsiveness theories, we argue that legislators use vague language to overcome institutional conflict and public opinion constraints but avoid it when they seek to assert their positions in legislative output and policy outcomes. Empirically, we study the conditions under which the European Parliament (EP) introduces vague amendments to European Union (EU) legislative proposals using dictionary-based content analysis of EU legislative negotiations between 2009 and 2019. The results show that EP sticks to more concrete positions when inter-institutional conflict threatens its policy goals but employs vagueness to maintain a broad appeal and avoid public backlash given public opinion divisions and contentiousness. These results add to our knowledge of legal text formulation, EU law making, and EP representation.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of EPS Academic Ltd.
Figure 0

Figure 1. Distribution of the dependent variable.

Figure 1

Table 1. OLS regression resultsTable 1 long description.

Figure 2

Figure 2. Effects on the change in vagueness between proposal and EP position.

Note: 95% confidence intervals are reported. Figures are based on Model 2 inTable 1. Histograms at the bottom illustrate distributions of independent variables.
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Khokhlova et al. Dataset

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