Closing Pandora’s Box: Can Shared Vulnerability Underpin Territorial Stability?

Jamie Hintson & Kenneth Schultz

International Organization2026https://doi.org/10.1017/s0020818325101240article
AJG 4ABDC B
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0.50

Abstract

Scholars and policymakers have argued that territorial revisionism is dangerous because it risks setting off a cascade of claims by states dissatisfied with their borders. This Pandora’s box logic suggests that states that are vulnerable to an unraveling of the status quo have incentives to restrain their territorial ambitions to preserve stability. This paper explores this claim theoretically and empirically. It provides descriptive evidence to determine whether vulnerability to territorial threats has historically been associated with a lower likelihood of initiating territorial disputes. We find some evidence of such an effect in postindependence Africa, where this logic is most frequently invoked, and to some extent in Asia, but not in other regions. To help explain these empirical observations, we develop a multistate model of territorial conflict that identifies the conditions under which cooperation to preserve the territorial status quo can be sustained. The model shows that while an equilibrium of mutual restraint can exist, the necessary conditions are quite restrictive, and this cooperative equilibrium is never unique. Thus while a Pandora’s box of potential claims can provide the basis for a norm of restraint, the emergence of such a norm is neither straightforward nor guaranteed.

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https://doi.org/https://doi.org/10.1017/s0020818325101240

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@article{jamie2026,
  title        = {{Closing Pandora’s Box: Can Shared Vulnerability Underpin Territorial Stability?}},
  author       = {Jamie Hintson & Kenneth Schultz},
  journal      = {International Organization},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1017/s0020818325101240},
}

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Evidence weight

0.50

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F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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