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Record W4319710418 · doi:10.58886/jfi.v13i2.2500

The Impact of the Bio-terrorism Act on the Supply Chain and Firm Value

2014· article· en· W4319710418 on OpenAlexaboutno aff
Mark P. Johnson, Min Kang, Yifan Zhou

Bibliographic record

VenueJournal of Finance Issues · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Disease Management and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessHomeland securityAgricultureAgribusinessGovernment (linguistics)Food securityValue (mathematics)FinanceTerrorismInternational tradeLaw

Abstract

fetched live from OpenAlex

On June 12, 2002, President Bush signed into law the Public Health Security and Bioterrorism Preparedness and Response Act of 2002. The Bioterrorism Act requires domestic firms and importers to register their agribusiness facilities with the U.S. government, to notify Homeland Security prior to shipment of agricultural products, and to keep records on the origination of agricultural inputs and the destination of agricultural outputs. Thus, the Act significantly altered the U.S. regulatory climate for both U.S. and foreign food industry firms who do business in the U.S. We present evidence that the passage of the Bioterrorism Act resulted in an average 3.2% decline in the market value of equity of domestic food industry firms. Cross-sectional analysis suggests that costs are increasing in the diversity of the firms’ supply chains. Contrary to the conclusions of prior research, we also find that the Bioterrorism Act does not constitute a non-tariff barrier to Canadian food firms. We base this conclusion on the fact that the negative wealth effects for U.S. firms are similar in magnitude to those previously reported for Canadian firms.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.295
Threshold uncertainty score0.171

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.021
GPT teacher head0.270
Teacher spread0.249 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2014
Admission routes1
Has abstractyes

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