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Widespread, but also popular? Exploring attitudes to diversity policies

Published online by Cambridge University Press:  13 May 2025

Nicolas Fliess*
Affiliation:
Max Planck Institute for the Study of Religious and Ethnic Diversity, Göttingen, Germany
Karen Schönwälder
Affiliation:
Max Planck Institute for the Study of Religious and Ethnic Diversity, Göttingen, Germany
*
Corresponding author: Nicolas Fliess; Email: fliess@mmg.mpg.de
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Abstract

Diversity policies have become a common element of public policy-making in Europe. At the European, national, regional and local levels, efforts are made to meet demands arising from a growing socio-cultural diversity and to ensure more equal participation of disadvantaged groups. And yet, little is known about the reception of such policies among the general public. This article addresses this gap. Based on an original and representative survey conducted in German cities, we examine the extent and structure of popular support for a range of diversity policies. Our results demonstrate that the German urban population altogether supports diversity policies, although unevenly across policy items. Somewhat surprisingly, it is not membership in groups expected to benefit from a diversity policy that mainly drives supportive attitudes, but general views on social equality and intergroup contact.

Information

Type
Research 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 (https://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), 2025. Published by Cambridge University Press on behalf of European Consortium for Political Research
Figure 0

Table 1. Diversity policies, dependent variables

Figure 1

Figure 1. Attitudes to diversity policies.Note: For exact question wordings, see Table 1. Percentages are weighted; n = 2,917. ‘Not supportive’ includes disagreement, neither nor and no answer. Source: DivA-Survey 2019–20.

Figure 2

Figure 2. Support for diversity policies by number of items.Note: Percentages are weighted; n = 2,917. ‘Not supportive’ includes disagreement, neither nor and no answer. Source: DivA-Survey 2019–20.

Figure 3

Figure 3. Results from linear probability models I.Note: This figure shows results from four linear probability models (LPM). The dependent variable is shown in the header. All models are computed with robust standard errors. Horizontal bars represent 95% confidence intervals; p-values are shown alongside markers: + P < 0.1, * P < 0.05, ** P < 0.01, *** P < 0.001. Source: DivA-Survey 2019–20; n = 2,826.

Figure 4

Figure 4. Results from linear probability models II.Note: This figure shows results from four linear probability models (LPM). The dependent variable is shown in the header. All models are computed with robust standard errors. Horizontal bars represent 95% confidence intervals; p-values are shown alongside markers: + P < 0.1, * P < 0.05, ** P < 0.01, *** P < 0.001. Source: DivA-Survey 2019–20; n = 2,826.

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