The lotteries of elections and violence: Why actors in post-conflict countries decide to organise electoral violence Hannah Smidt School of Public Policy Department of Political Science University College London Presentation prepared for the Peace Science Conference 12-14 November 2015, Oxford Ms 1 / 18 Puzzle Why are some post-conflict election more violent than others? N=287, Latin America and Africa 2 / 18 Explaining Côte d’Ivoire Large-scale violence 2010 Electoral peace 2015 3 / 18 Different perspectives on electoral violence 1 Studies on electoral violence (Fisher 2002 to Norris 2015) √ • Motives resulting from electoral dynamics 2 War-to-democracy research (Rationalist explanations for electoral violence à la Fearon 1995) √ • Inclusive to spoiler violence √ • Opportunities 3 Democratization literature (Rustow 1970 to Przeworski 2014) √ • Motives: Losses from democratic transition 4 Conflict research (Gurr 1970 to Cederman et al. 2013) √ • Motives: Resentment of rivals’ electoral victory 4 / 18 My contribution • Novel framework drawing on lottery analogy and synthesizing different perspectives • First large-n cross-national study in post-conflict countries specifically 5 / 18 Lotteries of elections and violence Lottery of elections • Anticipated losses (large?) • Probability of losing elections (certain?) versus Lottery of violence • Anticipated losses (severity of punishment?) • Probability of succeeding with violence (opportunity?) 6 / 18 When the lottery of elections is unattractive Loss aversion: H1: Losses in the lottery of elections + −→ electoral violence • relative losses vis-à-vis other actors • relative losses vis-à-vis position to which actors feel entitled Certainty effect: H2: Certainty of electoral defeat + −→ electoral violence 7 / 18 When the lottery of violence is attractive Punishment: H3: Losses in the lottery of elections − −→ electoral violence. Opportunity: H4: Probability of winning by force + −→ electoral violence. 8 / 18 Testing observable implications Concept Losses (elections) Certainty of defeat Losses (violence) Probability (violence) Indicator Experience with democracy Plurality Conflict duration First PC elections Negative power shifts Information about fraud Unfavourable polling (Gov.) Independent judiciary GDP per capita Peace spell before elections Press freedom Effect – + + + + + + + – – – 9 / 18 Research design • Cross-national comparison • 287 national-level elections • 47 post-conflict countries in Africa and Latin America • 1990-2010 • Negative binomial regression • DV = Count of violent events (SCAD) • related to elections • +/-90 days of election day • IVs = Measures of the parameters in two lotteries 10 / 18 Results If actors have more to lose and are certain of defeat in the lottery of elections, then electoral violence increases. Losses elections Certainty defeat Democratic experience Plurality Conflict duration First post-conflict elections Negative power shift – + n.s. + + – 0.98 ev + 0.46 ev Information about fraud + + 0.49 ev + 0.32 ev + 1.37 ev 11 / 18 Results The probability of winning by force and losses in violence cannot predict variation in electoral violence. Losses/punishment Judicial independence n.s. Probability force GDP per capita Free press Peace spell n.s. n.s. n.s. 12 / 18 Robustness Robust for... √ no issue restriction √ pre-electoral and post-electoral violence separately √ only elections held immediately after conflict (N=116) √ excluding outliers (N=280) 13 / 18 Robust for government violence Differences to general model: Conflict duration: – ⇒ Longer conflicts make peaceful governments Negative polling: n.s. Fraud: n.s. ⇒ Fraud assures governments of victory GDP per capita: – ⇒ Opportunity (cost) matters for governments 14 / 18 Robust for opposition violence Differences to general model: Conflict duration: ⇒ Hardened identities and larger losses First post-conflict elections / power shifts: ⇒ Losses for incumbents only + n.s. Judicial independence: ⇒ Better indicator for fairness? – GDP per capita: ⇒ due to Mexico + 15 / 18 Conclusion and next steps Implications of findings: √ Large losses and unfair contests matter... f but parameters of lottery of violence do not. ⇒ Motives instead of opportunistic behaviour ⇒ Policy implication: Electoral and institution-building support may be more effective than deterrence. Next step: • World-wide sample • Analyse impact of 3rd generation UN peace-building 16 / 18 Bibliography of presentation Cederman, Lars-Erik, Gleditsch, Kristian S., & Halvard Buhaug (2013) Inequality, Grievances, and Civil War. Cambridge, UK: Cambridge University Press. Fearon, James (1995) "Rationalist Explanations for War." International Organization 49(3): 379-414. Fischer, Jeff (2002) "Electoral conflict and violence." IFES White Papers - Making Democracy Work. Gurr, Ted R. (1970) Why men rebel. Princeton University Press. Norris, Pippa, Richard W. Frank & Ferran Martinez i Coma (2015) Contentious Elections: From Ballots to Barricades. New York: Routledge. 17 / 18 Bibliography for presentation Przeworski, Adam (2014). Acquiring the Habit of Changing Governments Through Elections. Comparative Political Studies 00(00): 1-29. Rustow, Dankwart (1970). Transitions to democracy: Toward a dynamic model. Comparative Politics 2(3): 337-363. 18 / 18
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