Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/27581
Title: What explains rice exports? an analysis of major rice-exporting countries
Authors: Varma, Poornima
Keywords: Arable land;Gravity equation;Poisson pseudo-maximum likelihood (PPML);Water;Heckscher-Ohlin-Vanek model
Issue Date: 16-Oct-2024
Publisher: Wiley
Abstract: This study examines the drivers of rice trade. The analysis uses the standard comparative advantage model, the Heckscher-Ohlin-Vanek (HOV) framework, supplemented with a gravity-type equation. Using the Poisson pseudo-maximum likelihood (PPML) estimation for data from 2002 to 2020, the analysis broadly confirms HOV model predictions. Results indicate that arable land, along with GDP, distance, precipitation and crop season temperature, significantly influences rice trade dynamics. The results showed that the precipitation play a key role in influencing the rice trade rather than the blue water availability. However, agricultural water stress discouraged exports and encouraged imports.
Description: This study examines the drivers of rice trade. The analysis uses the standard comparative advantage model, the Heckscher-Ohlin-Vanek (HOV) framework, supplemented with a gravity-type equation. Using the Poisson pseudo-maximum likelihood (PPML) estimation for data from 2002 to 2020, the analysis broadly confirms HOV model predictions. Results indicate that arable land, along with GDP, distance, precipitation and crop season temperature, significantly influences rice trade dynamics. The results showed that the precipitation play a key role in influencing the rice trade rather than the blue water availability. However, agricultural water stress discouraged exports and encouraged imports.
URI: http://hdl.handle.net/11718/27581
ISSN: 2040-5804
Appears in Collections:Journal Articles

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