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Record W2897643295 · doi:10.1111/caje.12359

Foreign R&D satellites as a medium for the international diffusion of knowledge

2018· article· en· W2897643295 on OpenAlexaffvenue
Joël Blit

Bibliographic record

VenueCanadian Journal of Economics/Revue canadienne d économique · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFirm Innovation and Growth
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMultinational corporationTrademarkBusinessSatelliteKnowledge flowAbsorptive capacityDiffusionInternational tradeHost (biology)Industrial organizationKnowledge managementPolitical scienceEngineeringComputer scienceFinance

Abstract

fetched live from OpenAlex

Abstract I examine the extent to which foreign R&D satellites of multinational firms act as a medium for the international diffusion of knowledge. Using patents from the United States Patent and Trademark Office, I compare the frequency with which headquarters patents are cited by third‐party firms in the satellite's host country relative to a control group of patents, and this both before and after the establishment of the satellite (using a difference‐in‐differences approach). The results suggest that the satellite increases the flow of knowledge from the multinational's headquarters to firms in the satellite's host country. This satellite effect on knowledge diffusion is largest in host countries and sectors with strong but not world‐class capabilities that have both the motivation and absorptive capacity to learn from foreign parties. The findings also suggest that knowledge diffusion is greatest when satellites are staffed with inventors that have previously either patented with other local firms (thus having stronger local social networks) or with the headquarters (thus having headquarters knowledge).

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.739
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.174
GPT teacher head0.211
Teacher spread0.037 · 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

Citations5
Published2018
Admission routes2
Has abstractyes

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