The DOI matches its Crossref record.
Do Regional Trade Agreements Increase Members' Agricultural Trade?
Abstract
The gravity model is used extensively to investigate the trade flow effects of Regional Trade Agreements (RTAs). A notable feature common to previous research is the use of aggregate trade data. These studies typically report conflicting, and even negative results of the effect of RTAs on members' trade. Using recent developments in the gravity equation suggested by Baier and Bergstrand (2007) and Anderson and van Wincoop (2003), this article demonstrates that RTA effects on members' trade depend fundamentally on whether the analysis focuses on agricultural or nonagricultural sectors, on the particular agreement analyzed, and on the length of the phase‐in period that characterizes almost all RTAs.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Does economic policy uncertainty undermine stability of agricultural imports? Evidence from China
Zhang, Z., Brizmohun, R., Li, G., & Wang, P. (2022) · PLOS ONE · doi:10.1371/journal.pone.0265279 · Cited by 17
Metadata
- Authors
- Grant, J. H., & Lambert, D. M.
- Venue
- American Journal of Agricultural Economics
- Publisher
- Wiley
- Published
- 2008-08
- Volume
- 90
- Issue
- 3
- Pages
- 765-782
- ISSN
- 0002-9092 (ISSN-L)
- 1467-8276
- OpenAlex
- W2155099926
- Cited by
- 165
- References
- 0
- FWCI
- 16.99
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Do Regional Trade Agreements Increase Members' Agricultural Trade? https://app.cochat.ai/papers/10.1111/j.1467-8276.2008.01134.x
- The paper
- Grant, J. H., & Lambert, D. M. (2008). Do Regional Trade Agreements Increase Members' Agricultural Trade? American Journal of Agricultural Economics. https://doi.org/10.1111/j.1467-8276.2008.01134.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
