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Record W4392935421 · doi:10.1093/epolic/eiae024

Trade liberalization, economic activity and political violence in the Global South: evidence from PTAs

2024· article· en· W4392935421 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEconomic Policy · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal trade, sustainability, and social impact
Canadian institutionsMcGill University
FundersMcGill University
KeywordsEconomicsExploitAgricultureLiberalizationPoliticsInternational economicsFree tradeFood securityTrade barrierInternational tradeDevelopment economicsMarket economyPolitical scienceGeography

Abstract

fetched live from OpenAlex

Summary This paper investigates the impact of agricultural trade liberalization on economic activity and political violence in emerging countries. We use data on all preferential trade agreements (PTAs) signed between 25 low- and middle-income countries and their high-income trade partners between 1995 and 2013. We exploit the implied reduction in agricultural tariffs over time combined with variation within countries in their suitability to produce liberalized crops to find that economic activity increases differentially in affected areas. We also find strong positive effects on political violence, and present evidence consistent with both producer- and consumer-side mechanisms: violence increases differentially in more urbanized areas that are suitable to produce less labour-intensive crops as well as crops that are consumed locally. Our estimates imply that economic activity and political violence would have been around 2% and 7% lower, respectively, across countries in our sample had the PTAs not been signed.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.515
Threshold uncertainty score0.917

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.027
GPT teacher head0.299
Teacher spread0.273 · 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