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Democratic breakdown and terrorism

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  • Joshua Tschantret

Abstract

Democracy is one of the most consistent predictors of terrorism. Yet we know little about why there is an apparent relationship between terrorism and democracy. In this article, I argue that previous democratic breakdown is a significant predictor of terrorism. While democratic civil liberties increase the opportunity to carry out terrorist attacks, they do not explain why groups are motivated to use terrorism rather than legal means for implementing change. Democratic breakdown, however, creates grievances that motivate terrorism by excluding groups with full rights of participation from the political process. Such grievances, which persist over long periods of time, will lead to high levels of terrorism once the regime re-democratizes, since the motivation for political violence is combined with the opportunities provided by democratic civil liberties. Cross-national statistical evidence from 1970 to 2007 lends strong support for this argument. It further demonstrates that only democracies that have experienced democratic breakdown experience more terrorism than autocracies. Moreover, an extreme bounds analysis indicates that previous democratic breakdown is one of the most robust predictors of terrorism and the most robust among variables conceptually related to democracy.

Suggested Citation

  • Joshua Tschantret, 2021. "Democratic breakdown and terrorism," Conflict Management and Peace Science, Peace Science Society (International), vol. 38(4), pages 369-390, July.
    • Handle: RePEc:sae:compsc:v:38:y:2021:i:4:p:369-390
    DOI: 10.1177/0738894220911366
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    References listed on IDEAS

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    1. Hlavac, Marek, 2016. "ExtremeBounds: Extreme Bounds Analysis in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 72(i09).
    2. Pape, Robert A., 2003. "The Strategic Logic of Suicide Terrorism," American Political Science Review, Cambridge University Press, vol. 97(3), pages 343-361, August.
    3. Dragu, Tiberiu & Przeworski, Adam, 2019. "Preventive Repression: Two Types of Moral Hazard," American Political Science Review, Cambridge University Press, vol. 113(1), pages 77-87, February.
    4. Quan Li, 2005. "Does Democracy Promote or Reduce Transnational Terrorist Incidents?," Journal of Conflict Resolution, Peace Science Society (International), vol. 49(2), pages 278-297, April.
    5. Kevin D. Hoover & Stephen J. Perez, 2004. "Truth and Robustness in Cross‐country Growth Regressions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(5), pages 765-798, December.
    6. James A. Piazza, 2017. "Repression and Terrorism: A Cross-National Empirical Analysis of Types of Repression and Domestic Terrorism," Terrorism and Political Violence, Taylor & Francis Journals, vol. 29(1), pages 102-118, January.
    7. Leamer, Edward E, 1985. "Sensitivity Analyses Would Help," American Economic Review, American Economic Association, vol. 75(3), pages 308-313, June.
    8. Gaibulloev, Khusrav & Piazza, James A. & Sandler, Todd, 2017. "Regime Types and Terrorism," International Organization, Cambridge University Press, vol. 71(3), pages 491-522, July.
    9. Mansfield, Edward D. & Snyder, Jack, 2002. "Democratic Transitions, Institutional Strength, and War," International Organization, Cambridge University Press, vol. 56(2), pages 297-337, April.
    10. Zeileis, Achim, 2004. "Econometric Computing with HC and HAC Covariance Matrix Estimators," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 11(i10).
    11. Weeks, Jessica L., 2012. "Strongmen and Straw Men: Authoritarian Regimes and the Initiation of International Conflict," American Political Science Review, Cambridge University Press, vol. 106(2), pages 326-347, May.
    12. Debs, Alexandre & Goemans, H.E., 2010. "Regime Type, the Fate of Leaders, and War," American Political Science Review, Cambridge University Press, vol. 104(3), pages 430-445, August.
    13. James Raymond Vreeland, 2008. "The Effect of Political Regime on Civil War," Journal of Conflict Resolution, Peace Science Society (International), vol. 52(3), pages 401-425, June.
    14. Cederman, Lars-Erik & Weidmann, Nils B. & Gleditsch, Kristian Skrede, 2011. "Horizontal Inequalities and Ethnonationalist Civil War: A Global Comparison," American Political Science Review, Cambridge University Press, vol. 105(3), pages 478-495, August.
    15. Lenz, Gabriel & Sahn, Alexander, 2017. "Achieving Statistical Significance with Covariates and without Transparency," MetaArXiv s42ba, Center for Open Science.
    16. Matthew C. Wilson & James A. Piazza, 2013. "Autocracies and Terrorism: Conditioning Effects of Authoritarian Regime Type on Terrorist Attacks," American Journal of Political Science, John Wiley & Sons, vol. 57(4), pages 941-955, October.
    17. repec:osf:metaar:s42ba_v1 is not listed on IDEAS
    18. Whitten-Woodring, Jenifer & Van Belle, Douglas A., 2017. "The Correlates of Media Freedom: An Introduction of the Global Media Freedom Dataset," Political Science Research and Methods, Cambridge University Press, vol. 5(1), pages 179-188, January.
    19. Bruce Bueno de Mesquita & Alastair Smith & Randolph M. Siverson & James D. Morrow, 2005. "The Logic of Political Survival," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262524406, December.
    20. Timmons, Jeffrey F., 2010. "Does Democracy Reduce Economic Inequality?," British Journal of Political Science, Cambridge University Press, vol. 40(4), pages 741-757, October.
    21. Haber, Stephen & Menaldo, Victor, 2011. "Do Natural Resources Fuel Authoritarianism? A Reappraisal of the Resource Curse," American Political Science Review, Cambridge University Press, vol. 105(1), pages 1-26, February.
    22. Sala-i-Martin, Xavier, 1997. "I Just Ran Two Million Regressions," American Economic Review, American Economic Association, vol. 87(2), pages 178-183, May.
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