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Record W2076292976 · doi:10.1111/ecin.12150

FIRM PRODUCTIVITY AND SALES DESTINATIONS: EVIDENCE FROM WITHIN CHINA

2014· article· en· W2076292976 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEconomic Inquiry · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsCarleton University
Fundersnot available
KeywordsDestinationsProductivityChinaLinkage (software)EconomicsBusinessInternational marketInternational tradeTourismMacroeconomicsGeography

Abstract

fetched live from OpenAlex

This paper builds on and extends the literature on the linkage between firm productivity and their export destinations to study the productivity of Chinese firms and their sales destinations in other provinces within China. Moving the study from international markets to domestic markets conveniently avoids the hard to control heterogeneity across different destination markets in international trade, as provincial markets within China are less heterogeneous than international markets but segmented by Chinese provincial borders. The paper explicitly controls the fact that many firms only sell in their home provinces by using the zero‐inflated negative binomial method. It finds that firms with higher productivity tend to sell in other provincial markets, and more productive firms enter more provincial markets. The results are robust . ( JEL F15, D21, D24)

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score1.000

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.103
GPT teacher head0.248
Teacher spread0.145 · 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