Abstract
This article examines the causes of the current centrist and secessionist civil conflicts in Yemen. We argue that it is possible to explain the outbreak of the struggle of the Houthis against the central government as well as the acceleration of southern secessionist demands in light of the mismatch theory developed by Herrera, Morelli, and Nunnari (2019). In line with this model, we show that the two conflicts erupted once the relatively low political-economic power of the Houthis and of the southern secessionists was no longer matched by a parallel imbalance in their relative military strength vis-à-vis the central government. To examine the implications of the theory in Yemen, we use qualitative evidence on the two ongoing conflicts. The Yemeni case suggests that conflicts exhibiting a non-parallel asymmetry in relative military strength and political-economic power between the warring actors can be interpreted in light of the mismatch theory, regardless of their direction or the objectives their players pursue.
Acknowledgments
We would like to thank Professor Massimo Morelli, who has guided us throughout our work with practical comments and whose insights on the mismatch theory allowed us to have a sound theoretical basis on which to start our research. For helpful comments and criticisms, we also thank two anonymous reviewers. Finally, we acknowledge the support of Eleonora Ardemagni, who has been so kind to share with us her knowledge on the Yemeni context through useful observations and material.
Focusing on separatists, we can apply a formal model drawn from Morelli and Rohner (2015) to outline how the location of resources and the concentration of the group involved predicts the secessionist direction of the fight that broke out between the STC and the Hadi government.
Southern separatists, who are geographically concentrated by definition, are on the sidelines of Yemeni politics and have complained heavily about being plundered of their natural resources. Although some oil reserves also exist in the north (for example in the Ma’rib region), 80% of Yemeni oil is located in the southern governorates of Hadhramaut and Shabwah. Moreover, the only gas terminal in the country is in the southern city of Balhaf. In the Yemeni case, before the intervention of the UAE made secessionists at least as strong as the government, their relative military strength did not mirror the fact that they were richly endowed in natural resources. In other words, the elite in power, rather than southerners, controlled southern natural resources by deciding how to allocate their revenues, as the government was stronger militarily. Hence, by seceding, southern Yemen would have had the opportunity to autonomously enjoy the revenues that its natural resources generate, as it would have had complete control over them.
We now introduce the model. Assume the Yemeni state comprises only two regions, north (1) and south (2), inhabited respectively by two major groups, a pro-government one (A) and a separatist one (B), with population sizes
Group A controls the ensuing revenues and decides which fraction β of the total surplus R = R1 + R2 can be distributed to the group of separatists B. In turn, group B can choose between accepting that arrangement peacefully (action p), start a centrist war (action c), or request a secession (action s), implying a separation between the two regions. In the latter case, group B would attempt to make South Yemen or region 2 an independent state governed by southern secessionists themselves.
Group A can also trigger a centrist war (in other words, a preventive repression of the minority group), or wait for B’s choice and react to it. Assuming that a faction’s military power is roughly proportional to its population size, in case of a centrist conflict, separatists win with probability
The separatist group has a higher probability of winning a secessionist conflict than a centrist conflict if
We now turn to the computation of expected utilities to understand when the incentive for southern separatists to trigger a secessionist conflict materializes. The peaceful status quo gives them a payoff β (R1 + R2). Secessionists’ expected utility from a centrist conflict is
Assume that
Both the government and the secessionists have a threshold for β beyond which peace is less convenient than fighting: there is a minimum share of resources
which can be rewritten as
Group B prefers peace over secession when
which can be rewritten as
The government prefers the status quo as long as
The model just outlined is such that war becomes almost unavoidable when natural resources are mostly present in the region where the out-of-government group, or southern secessionists in our case, is more concentrated and/or when conflict is not too costly. In this respect, although we recognize that costs may be high in terms of destruction of natural resources and related infrastructures (even though they may be not in terms of opportunity costs since the country is very poor), we still believe that the concentration of resources and the history of marginalization made the incentive to secede outcompete these costs. With respect to resources, given that 80% of them are in South Yemen we can argue that they are present almost exclusively in region 2, hence
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Articles in the same Issue
- Frontmatter
- Research Articles
- The Trade Disruption Hypothesis Fails for State-Sponsored Genocides and Mass Atrocities: Why It Matters
- Rivalry Type and Cyber Operations: “Hot” Rivalries, “Cold” Rivalries, and Cyber Incidents, 1990–2009
- The Yemeni Conflicts: A Mismatch Theory Interpretation
- The Economic Impact of Terrorism from 2000 to 2018
- Stock Market Volatility and Terrorism: New Evidence from the Markov Switching Model
Articles in the same Issue
- Frontmatter
- Research Articles
- The Trade Disruption Hypothesis Fails for State-Sponsored Genocides and Mass Atrocities: Why It Matters
- Rivalry Type and Cyber Operations: “Hot” Rivalries, “Cold” Rivalries, and Cyber Incidents, 1990–2009
- The Yemeni Conflicts: A Mismatch Theory Interpretation
- The Economic Impact of Terrorism from 2000 to 2018
- Stock Market Volatility and Terrorism: New Evidence from the Markov Switching Model