The DOI matches its Crossref record.
Defending the National Interest: Raw Materials Investments and U.S. Foreign Policy
Abstract
Stephen Krasner's assumption of a distinction between state and society is the root of his argument for the superiority of a statist interpretation of American foreign policy. Here he challenges the two dominant and rival interpretations of the relationship between state and society: interest group liberalism and Marxism. He contends that the state is an autonomous entity acting on behalf of the and that state behavior cannot be explained by group or class interest. On the basis of fifteen case studies drawn from extensive public records and published literature on American raw materials policy in the twentieth-century, Professor Krasner provides empirical substance to the debate about the meaning of the national interest, the importance of bureaucratic politics, and the influence of business on American foreign policy.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Diplomacy and domestic politics: the logic of two-level games
Putnam, R. D. (1988) · International Organization · doi:10.1017/s0020818300027697 · Cited by 7,475
The Limits of the State: Beyond Statist Approaches and their Critics
Mitchell, T. (1991) · American Political Science Review · doi:10.1017/s0003055400271451 · Cited by 2,336
Public Opinion, Domestic Structure, and Foreign Policy in Liberal Democracies
Risse-Kappen, T. (1991) · World Politics · doi:10.2307/2010534 · Cited by 622
Cherp, A., Vinichenko, V., Jewell, J., Brutschin, E., & Sovacool, B. (2018) · Energy Research & Social Science · doi:10.1016/j.erss.2017.09.015 · Cited by 601
A cultural theory of international relations
(2009) · Choice Reviews Online · doi:10.5860/choice.47-2254 · Cited by 379
Metadata
- Venue
- The SHAFR Guide Online
- Publisher
- Walter de Gruyter GmbH
- Published
- 2017-10-02
- OpenAlex
- W2109452012
- Cited by
- 431
- References
- 0
- Type
- reference entry
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Defending the National Interest: Raw Materials Investments and U.S. Foreign Policy. https://app.cochat.ai/papers/10.1163/2468-1733_shafr_sim280020519
- The paper
- Defending the National Interest: Raw Materials Investments and U.S. Foreign Policy. (2017). The SHAFR Guide Online. https://doi.org/10.1163/2468-1733_shafr_sim280020519
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.