Trade Liberalisation and Agricultural Exports: Evidence From Afghanistan’s <scp>WTO</scp> Accessions

ABSTRACT This paper examines the impact of Afghanistan's accession to the World Trade Organization (WTO) on its Agricultural Export Performance (), with a particular focus on the effects of Trade Liberalisation (). Using the Difference‐ in‐ Differences (DIDs) methodology, we found that has a positive and statistically significant effect on , suggesting that a 1% decrease in tariffs increases export value by approximately 0.124% in Afghanistan. This result is further validated by employing Double‐Selection LASSO Regression (DSLR), Bayesian Model Averaging (BMA) and Kernel‐Based Regularised Least Squares (KRLS) machine learning techniques. Additionally, endogeneity concerns are addressed using Trade Policy Uncertainty () as an Instrumental Variable (IV), with results indicating that the estimated effects are free from endogeneity bias. Moreover, heterogeneity analysis reveals that the impact of on varies across different income levels, regions and neighbouring country classifications. Furthermore, a three‐step mediation analysis demonstrates that Trade Costs () and Resource Allocation () partially mediate the relationship between and . Based on these empirical outcomes, several policy recommendations are discussed.

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Publication Details

Journal
Australian Journal of Agricultural and Resource Economics
Published
2026-03-11
DOI
https://doi.org/10.1111/1467-8489.70092
Primary Topic
Global trade and economics
Type
article
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article

Trade Liberalisation and Agricultural Exports: Evidence From Afghanistan’s WTO Accessions

Shah Mir Mowahed, Abdul Ahmad Pooya, Yuping Deng
Australian Journal of Agricultural and Resource Economics
Global trade and economics
article

Trade Liberalisation and Agricultural Exports: Evidence From Afghanistan’s WTO Accessions

Shah Mir Mowahed, Abdul Ahmad Pooya, Yuping Deng
article en

Abstract

ABSTRACT This paper examines the impact of Afghanistan's accession to the World Trade Organization (WTO) on its Agricultural Export Performance (), with a particular focus on the effects of Trade Liberalisation (). Using the Difference‐ in‐ Differences (DIDs) methodology, we found that has a positive and statistically significant effect on , suggesting that a 1% decrease in tariffs increases export value by approximately 0.124% in Afghanistan. This result is further validated by employing Double‐Selection LASSO Regression (DSLR), Bayesian Model Averaging (BMA) and Kernel‐Based Regularised Least Squares (KRLS) machine learning techniques. Additionally, endogeneity concerns are addressed using Trade Policy Uncertainty () as an Instrumental Variable (IV), with results indicating that the estimated effects are free from endogeneity bias. Moreover, heterogeneity analysis reveals that the impact of on varies across different income levels, regions and neighbouring country classifications. Furthermore, a three‐step mediation analysis demonstrates that Trade Costs () and Resource Allocation () partially mediate the relationship between and . Based on these empirical outcomes, several policy recommendations are discussed.

Australian Journal of Agricultural and Resource Economics
Hunan University (CN)
Openalex Percentile: Top 29%
Global trade and economics
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