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dc.contributor.authorVarma, Poornima
dc.date.accessioned2024-11-26T10:07:07Z
dc.date.available2024-11-26T10:07:07Z
dc.date.issued2024-10-16
dc.identifier.issn2040-5804
dc.identifier.urihttp://hdl.handle.net/11718/27581
dc.descriptionThis 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.en_US
dc.description.abstractThis 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.en_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofApplied Economic Perspective and Policyen_US
dc.subjectArable landen_US
dc.subjectGravity equationen_US
dc.subjectPoisson pseudo-maximum likelihood (PPML)en_US
dc.subjectWateren_US
dc.subjectHeckscher-Ohlin-Vanek modelen_US
dc.titleWhat explains rice exports? an analysis of major rice-exporting countriesen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1002/aepp.13482en_US


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