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Endogenous Trade Policies in a Developing Economy

2007· article· en· W2139487523 on OpenAlexaff
Nguyễn Mạnh Hùng, Nguyen Xuan Quyen

Bibliographic record

VenueReview of Development Economics · 2007
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsUniversity of OttawaUniversité Laval
Fundersnot available
KeywordsProtectionismEconomicsSubsidyTariffManufacturing sectorCommercial policySmall open economyInternational economicsIndustrial policyExport subsidyAgricultureInternational tradeMarket economyMacroeconomicsExchange rate

Abstract

fetched live from OpenAlex

Abstract This paper examines the formation of trade policy for a small open developing economy where lobbying activities may be carried out to influence policy‐making decisions. The paper presents a three‐sector economy in which the manufacturing sector can lobby policymakers for favorable policies. Under some plausible conditions, it is demonstrated that lobbying activities carried out by the owners of the specific factor in the manufacturing sector would secure a protectionist trade policy through either an import tariff or an export subsidy. The government also imposes a consumption tax on agricultural products, which further strengthens the protectionist measure applied to the manufacturing sector. In general equilibrium, there will be a movement of labor to the manufacturing sector, an output expansion in the manufacturing sector, and an output contraction in the agricultural sector, exactly as suggested by factual evidence.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.006
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.100
GPT teacher head0.241
Teacher spread0.141 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2007
Admission routes1
Has abstractyes

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