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Do politics matter? Women in Swedish local elected assemblies 1970–2010 and gender equality in outcomes

Published online by Cambridge University Press:  18 May 2011

Lena Wängnerud*
Affiliation:
Department of Political Science, University of Gothenburg, Gothenburg, Sweden
Anders Sundell
Affiliation:
Department of Political Science, University of Gothenburg, Gothenburg, Sweden
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Abstract

A substantial number of studies support the notion that having a high number of women in elected office helps strengthen the position of women in society. However, some of the most cited studies rely on questionnaires asking elected representatives about their attitudes and priorities, thus focusing on the input side of the political system. The closer one gets to outcomes in citizens’ everyday lives, the fewer empirical findings there are to report. In this study, we attempt to explain contemporary variations in gender equality at the sub-national level in Sweden. We use six indicators to capture a broad spectrum of everyday life situations. The overall finding is that having a high number of women elected does affect conditions for women citizens, making them more equal to men in terms of factors such as income levels, full-time vs. part-time employment, and distribution of parental leave between mothers and fathers, even when controlling for party ideology and modernization at the municipal level. No effect was found, however, on factors such as unemployment, poor health, and poverty among women. Thus, the politics of presence theory (Phillips, 1995), which emphasizes the importance of having a high number of women elected, does exert an effect, but the effect needs to be specified. For some dimensions of gender equality, the driving forces of change have more to do with general transformations of society than the equal distribution of women and men in elected assemblies. We thoroughly discuss measurement challenges since there is no accepted or straightforward way of testing the politics of presence theory. We challenge the conventional wisdom of using indexes to capture the network of circumstances that determines the relationship between women and men in society; aggregating several factors undermines the possibility of building fine-tuned understandings of the operative mechanisms.

Information

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

Figure 1 The ratio of women's to men's income, 2007, as a function of women's income level, 2007. Notes: R2 = 0.19. The scatterplot shows the 290 Swedish municipalities plotted according to the ratio of women's to men's income, and the average income of women in SEK 1000 s per year, for 2007. The values for Lidingö and Danderyd are higlighted in the text. Source: Statistics Sweden.

Figure 1

Table 1 Reliability analysis and confirmatory factor analysis (CFA) of index components

Figure 2

Figure 2 Percentage of women on municipal councils, 1970–2010. Notes: The diagram shows the average, standard deviation, and minimum and maximum percentage of female counsellors in Swedish municipal councils between 1970 and 2010. Source: Statistics Sweden.

Figure 3

Table 2 Summary statistics

Figure 4

Figure 3 Bivariate effect of the percentage of female counsellors during 1970–2010 on standardized index. Notes: The graph displays the coefficients and associated 95% CIs for 12 separate regressions, estimating the effect of the percentage of female counsellors in the municipal councils at different time periods on an index of gender equality, measured during 2007–09.

Figure 5

Figure 4 Multivariate effect of the percentage of female counsellors during 1970–2010 on standardized index. Notes: Adjusted R2 = 0.16. The graph displays the coefficients and associated 95% of CIs for one regression analysis, estimating the effect of the percentage of female counsellors in the municipal councils at different time periods on an index of gender equality, measured during 2007–09. Percentages for all periods are hence included in the same regression, as opposed to Figure 3.

Figure 6

Table 3 The effect of female councillors 1985–2010, on women's income, unemployment, poor health, and parental leave, in relation to men's OLS regression, unstandardized β-coefficients, SE in parentheses

Figure 7

Figure 5 The effect of population density on poor health among women and men. Notes: The scatterplot shows the 290 Swedish municipalities plotted according to the number of sick days for men (marked with x) and women (marked with circles) and the log population density (measured as the number of inhabitants per square kilometre), as well as the fitted regression lines.