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‘The local mwananchi has lost trust’: design, transition and legitimacy in Kenyan election management*

Published online by Cambridge University Press:  04 November 2016

Aaron Erlich*
Affiliation:
Department of Political Science, McGill University, Leacock Building, Room 414, 855 Sherbrooke St. West, Montreal, QC H3A 2T7, Canada
Nicholas Kerr*
Affiliation:
Department of Political Science, University of Alabama, ten Hoor Hall, Room 314, Tuscaloosa, AL 35487-0213, USA
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Abstract

Across African democracies, maintaining popular trust in electoral management bodies (EMBs) is vital to enhancing election integrity and, ultimately, regime legitimacy. However, scholars have largely sidestepped any systematic analysis of how citizens formulate their attitudes towards EMBs and how these attitudes vary over time. To address these gaps in the literature, we focus on Kenyan EMBs, which have experienced fluctuating popular support since the ruinous 2007 elections and subsequent institutional reforms. Using primary election reports and original survey and focus group data, we analyse the sources of Kenyans' trust in EMBs from 1992 onward and probe the 2013 election period deeply. Across time, we find that confidence in EMBs usually collapses after polarised elections, due to perceived problems with the EMB's autonomy and capacity. Following the 2013 elections, Kenyans were also more likely to lose confidence in the EMB if they were affiliated with losing presidential candidates or if they were critical of EMB performance.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 2016 
Figure 0

Figure 1.Percentage of Kenyans who distrust the Electoral Commission (2003–2015).

Source: Figure 1 shows data from a compilation of surveys obtained by the authors that ask questions about trust/confidence in the Kenya's EMB. The authors identified 41 questions in 37 unique surveys of which 31 we could obtain data on the percentage of respondents who showed the lowest level of trust (distrust) on the scale provided. Because of the incomparability of middle categories, we only report the lowest level of trust, which does not imply the remaining population had full trust. Those surveys that aggregated data or only reported confidence but not lack of confidence, which predominantly came from Gallup, are not pictured. Figure 1 shows the population weighted per cent of respondents for each survey question who made the most negative possible response about the EMB that was possible for the question. See Appendix C and the online repository located at https://dataverse.harvard.edu/dataverse/kenya_mwananchi for more details; also Long (2012). Dashed vertical lines show the timing of Kenyan general elections, and the horizontal black lines show tenure lengths of Kenya's different EMBs.
Figure 1

Table IACross-tabulation of Winner/loser and Changes in IEBC Confidence post-2013 Elections.

Figure 2

Table IBCross-tabulation of Winner/loser and Changes in IEBC Confidence post-2013 Elections.

Figure 3

Table IIACross-tabulation of Ethnicity and Changes in IEBC Confidence post-2013 Elections.

Figure 4

Table IIBCross-tabulation of Ethnicity and Changes in IEBC Confidence post-2013 Elections.

Figure 5

Table IIIOrdered Logistic Regression of the Correlates of Changes in IEBC Confidence.

Figure 6

Table IVPredicted Changes in Estimated Changes in IEBC Confidence.