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ZENODO
Preprint . 2026
License: CC BY
Data sources: ZENODO
https://doi.org/10.2139/ssrn.6...
Article . 2026 . Peer-reviewed
Data sources: Crossref
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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US–China Relations: Managed Competition as a Systemic Regime

Authors: Natalia Tymoshenko;

US–China Relations: Managed Competition as a Systemic Regime

Abstract

This paper is part of the TESPA (Tymoshenko Extended Signal Pattern Analysis) framework, a system-level analytical architecture for organising and evolving knowledge in international studies (see TESPA Core Document, Zenodo, DOI: 10.5281/zenodo.20024935). <br> <br> This paper analyses the United States' strategy towards China as a model of managed competition functioning as the baseline regime organising bilateral relations. Unlike other strategic directions, US-China interaction has acquired a relatively institutionalised character, allowing it to be interpreted as an institutionalised systemic regime. Within this model, competition is not a temporary phase but a permanent operational logic structuring interaction between states without escalation into open conflict. The system is shown to operate through the combination of three key components: institutionalised red lines, systemic competition, and conditional cooperation. Particular attention is given to the role of security-based containment and its instruments of implementation. It is concluded that US strategy towards China constitutes an institutionalised system of managed competition that ensures stability through balance management and the prevention of forceful revision, rather than through the elimination of rivalry itself.

Keywords

coercion, China, international system, signal-pattern analysis, competition, great power competition, United States, SPA

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average
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