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Record W3149048824

When Market Fundamentalism and Industrial Policy Collide: The Tea Party and the US Export-Import Bank

2017· article· en· W3149048824 on OpenAlexaff
Kristen Hopewell

Bibliographic record

VenueSSRN Electronic Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Industrial and Economic Development
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCompetitor analysisOpposition (politics)Consolidation (business)Industrial policyMarket economyExport credit agencyBattleInternational tradePoliticsState (computer science)BusinessIdeologyEconomicsTea partyPolitical economyInternational economicsEconomic policyPolitical scienceFinanceLawPayment
DOInot available

Abstract

fetched live from OpenAlex

For most major economies, state-backed export credit is a core element of industrial policy and their strategies to boost exports and economic growth. Surprisingly, however, at a time when its competitors are increasing their use of this policy tool, state-backed export credit has become the subject of a hotly contested political battle in the US. As a result of opposition from the Tea Party, the US Export-Import Bank was forced to halt its lending operations for five months in 2015 and subsequently limited to financing only the smallest transactions. In this article, I show that the disruption of export credit is undermining the competitiveness of key US industrial sectors and encouraging the movement of advanced, high-value-added manufacturing overseas. The case of export credit therefore presents an important puzzle: Why is the US moving in the opposite direction of other states and taking steps that undermine its economic interests? I argue that the internal US attack on export credit is fueled by the prevailing market fundamentalist ideology that has obscured the role of an active state in fostering the US’s economic success. This article demonstrates how the rise of a powerful anti-state movement is hindering the ability of the US to conduct effective industrial policy and maintain its economic primacy in the face of growing global competitive pressures.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.536
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.279
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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