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Life of the Party: The Origins of Regime Breakdown and Persistence under Single-Party Rule
Published online by Cambridge University Press: 13 June 2011
Abstract
This article develops a theory of single-party regime consolidation to explain the dramatic variation in longevity among these regimes. The strength of the opposition and rent scarcity during party consolidation, it argues, structure the choices available to elites as they decide how to build a support base. A weak opposition and ready access to rents makes a low-cost consolidation possible, but these conditions provide little incentive to build a robust coalition or strong party organization; this trajectory generates weak single-party rule that is likely to collapse in a crisis. Conversely, elites who face a powerful opposition and scarce rents have no choice but to offer potential allies access to policy-making and have powerful incentives to build a strong and broad-based party organization. Ruling parties that emerge from initial conditions like these prove more resilient during later crises. The author conducts an initial test of the argument against paired comparisons of Guinea-Bissau and Tanzania and of Indonesia and the Philippines.
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References
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2 To gauge relative longevity rates within the single-party “family,” I estimated the same basic logit models discussed below but included only variants of single-party rule. None of the variants proved significantly more or less durable than others, so it is appropriate to include all of the variants in a sample. The regimes data used here are the original work and property of Barbara Geddes.
3 Indeed, Marcos's Philippines between 1978 and 1986—more than half, and the last eight, of the regime's fourteen years—ranks as a single-party regime on seven of thirteen measures to my mind, using Geddes' coding criteria. In her language, it settled into single-party hybrid status during these years. Coding for the Marcos regime is available from the author.
4 Although these are cross-sectional time-series data, Geddes conducted the analysis for her 1999 article using standard logit models. I tested for temporal sensitivity using Stata 7.0's xtlogit command and found no significant change in the results. Thus, I have retained her use of standard logistic regression and otherwise have used the same models and methods. One minor difference is that I coded the Middle East and North Africa as a single region.
5 The monarchy data are the original work and property of Jason Brownlee.
6 Because of the lack of a regime failure in Mexico between 1950 and 1992, including a dummy for the regime produced a perfect prediction of lack of failure and Stata 7.0's logit and xtlogit commands dropped all of Mexico's observations. And, because PWT data are missing for the USSR in 1991, the regime's collapse in that year does not appear in the models, so the USSR's observations are dropped as well.
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