Resource Center

Advanced Search
Technical Papers
Working Papers
Research Memoranda
GTAP-L Mailing List
CGE Books/Articles
Important References
Submit New Resource

GTAP Resources: Resource Display

GTAP Resource #6312

"The role of global agricultural market integration in multiregional economic modeling: using hindcast experiments to validate an Armington model"
by Zhao, Xin, Katherine Calvin, Marshall Wise and Gokul Iyer

The representations of international trade and global market integration play central roles in long-term global agricultural economic modeling. However, the conventional use of the gravity models (i.e., the Armington approach) of trade may not adequately account for the dynamic process of market integration. In this paper, we generalize a logit-based Armington approach by permitting home preference bias erosion to account for a trend of global market integration. We build a simple agricultural economic equilibrium model and conduct hindcast experiments to examine the historical trend of market integration. The results show a significant integrating trend of the global agricultural market implied by converging Armington preference distributions (i.e., home bias erosion) in 1995 – 2015, with a half-life of 45 years. We demonstrate important implications of allowing the dynamic trend of market integration implied by bias erosion on estimating trade elasticities. By testing the future market integration trend implied by historical home bias integration in GCAM, we show a high sensitivity of long-term agroeconomic projections to future trade and market integration scenarios.

Resource Details (Export Citation) GTAP Keywords
Category: 2021 Conference Paper
Status: Not published
By/In: Presented during the 24th Annual Conference on Global Economic Analysis (Virtual Conference)
Date: 2021
Version: 1
Created: Zhao, X. (4/15/2021)
Updated: Zhao, X. (9/13/2021)
Visits: 839
- Trade and the environment
- Non-Tariff barriers

If you have trouble accessing any of the attachments below due to disability, please contact the authors listed above.

Public Access
  File format Paper  (591.3 KB)   Replicated: 0 time(s)
  File format Paper  (1.8 MB)   Replicated: 0 time(s)
  File format Presentation  (3.0 MB)   Replicated: 0 time(s)

Restricted Access
No documents have been attached.

Special Instructions
No instructions have been specified.

Comments (0 posted)
You must log in before entering comments.

No comments have been posted.