Intrastate Conflict, War Finance, and the Expropriation of Foreign Firms

Hoon Lee et al.

Journal of Conflict Resolution2026https://doi.org/10.1177/00220027261425881article
AJG 3ABDC A*
Weight
0.50

Abstract

Intrastate conflict is often identified to increase the risk of foreign asset expropriation due to heightened incentives for short-term economic gains. In this paper, we investigate this notion both theoretically and empirically, and refine the conventional wisdom by examining conditions under which intrastate conflict incentivizes a host government to expropriate foreign assets. We argue that intrastate conflict increases the risk of expropriation when the government’s capability to finance civil conflict is significantly constrained. The empirical results indicate that intrastate conflict has a positive effect on the expropriation risk only when the government’s war financing capabilities are substantially low due to a high level of external debt burdens. The findings show that host governments take a strategic approach in revenue generation and the capability to finance war is the key to understanding the relationship between conflict and expropriation.

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1177/00220027261425881

Or copy a formatted citation

@article{hoon2026,
  title        = {{Intrastate Conflict, War Finance, and the Expropriation of Foreign Firms}},
  author       = {Hoon Lee et al.},
  journal      = {Journal of Conflict Resolution},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1177/00220027261425881},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Intrastate Conflict, War Finance, and the Expropriation of Foreign Firms

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

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

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.