Revolutionising Indian Agriculture Exports: Unpacking the Transformative Impact of South Asian Free Trade Agreement

This article empirically examines the impact of South Asian Free Trade Agreement (SAFTA) on agricultural exports of India vis-à-vis SAARC and the rest of the world from 2000 to 2022 using the Poisson pseudo maximum likelihood estimator and Heckman selection method. Estimating a fully saturated gravity model, the findings of the preferred model reveal that SAFTA fails to boost intra-regional agriculture trade among the examined countries. The coefficient of the trade creation variable SAFTA ij is negative and statistically significant, reflecting the ineffectiveness of SAFTA in boosting the intra-regional agriculture trade among the partner countries. Conversely, the estimated coefficients of the other two regional trade dummies, SAFTA i and SAFTA j , are positive and statistically significant, indicating that trade activities (exports and imports) with non-members increased, implying the trade deflection and prioritisation of external markets. The ineffective outcome of SAFTA due to its design, structural flaws and external constraints warrants immediate policy attention to bolster the regional trade. JEL Codes : F1, Q1, Q17

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Journal
Foreign Trade Review
Published
2025-10-08
DOI
https://doi.org/10.1177/00157325251348007
Primary Topic
Global trade and economics
Type
article
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Revolutionising Indian Agriculture Exports: Unpacking the Transformative Impact of South Asian Free Trade Agreement

Md. Sarafraz Equbal, Tariq Ahad Nengroo, Javed Ahmad Bhat
Foreign Trade Review
Global trade and economics
article

Revolutionising Indian Agriculture Exports: Unpacking the Transformative Impact of South Asian Free Trade Agreement

Md. Sarafraz Equbal, Tariq Ahad Nengroo, Javed Ahmad Bhat
article en

Abstract

This article empirically examines the impact of South Asian Free Trade Agreement (SAFTA) on agricultural exports of India vis-à-vis SAARC and the rest of the world from 2000 to 2022 using the Poisson pseudo maximum likelihood estimator and Heckman selection method. Estimating a fully saturated gravity model, the findings of the preferred model reveal that SAFTA fails to boost intra-regional agriculture trade among the examined countries. The coefficient of the trade creation variable SAFTA ij is negative and statistically significant, reflecting the ineffectiveness of SAFTA in boosting the intra-regional agriculture trade among the partner countries. Conversely, the estimated coefficients of the other two regional trade dummies, SAFTA i and SAFTA j , are positive and statistically significant, indicating that trade activities (exports and imports) with non-members increased, implying the trade deflection and prioritisation of external markets. The ineffective outcome of SAFTA due to its design, structural flaws and external constraints warrants immediate policy attention to bolster the regional trade. JEL Codes : F1, Q1, Q17

Foreign Trade Review
University of Kashmir (IN), Indian Institute of Management Tiruchirappalli (IN)
Openalex Percentile: Top 55%
Global trade and economics
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Revolutionising Indian Agriculture Exports: Unpacking the Transformative Impact of South Asian Free Trade Agreement — Md. Sarafraz Equbal, Tariq Ahad Nengroo, et al. · Foreign Trade Review (2025) | TGRS Research Map | TGRS