Role of International Price and Domestic Inflation in Triggering Export Restrictions on Food Commodities

ABSTRACT This paper investigates the drivers of export restrictions on agricultural products based on an original dataset developed at IFPRI. We focus on four food price crises when export restrictions (bans, taxes, licenses, etc.) were applied: the 2007–2008 and 2010–2011 food price crises, the COVID‐19 pandemic, and the 2022 crisis associated with the Russia–Ukraine war. Although the justifications for such trade policies have been discussed in the literature, the ability to forecast their implementation remains understudied. The probit model used in this study suggests that the inflation rate has a higher power to predict export restrictions than do international commodity prices. The probability of export restrictions increases more when price changes are measured from a reference level in the long term than in the short term. Among the covariates, agricultural land per capita, the commodity's share in total production, and weather conditions increase the chances of imposing export restrictions. Population density, share of agriculture in GDP, urbanization rate, and political economy indicators all have a negative influence on the likelihood of export controls.

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Publication Details

Journal
Agricultural Economics
Published
2025-04-22
DOI
https://doi.org/10.1111/agec.70041
Citations
3
Primary Topic
Economics of Agriculture and Food Markets
Type
article
Field-Weighted Citation Impact
9.39
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article

Role of International Price and Domestic Inflation in Triggering Export Restrictions on Food Commodities

David Laborde, Abdullah Mamun
3 citations
Agricultural Economics
Economics of Agriculture and Food Markets
9.39
article

Role of International Price and Domestic Inflation in Triggering Export Restrictions on Food Commodities

David Laborde, Abdullah Mamun
article en
3 citations

Abstract

ABSTRACT This paper investigates the drivers of export restrictions on agricultural products based on an original dataset developed at IFPRI. We focus on four food price crises when export restrictions (bans, taxes, licenses, etc.) were applied: the 2007–2008 and 2010–2011 food price crises, the COVID‐19 pandemic, and the 2022 crisis associated with the Russia–Ukraine war. Although the justifications for such trade policies have been discussed in the literature, the ability to forecast their implementation remains understudied. The probit model used in this study suggests that the inflation rate has a higher power to predict export restrictions than do international commodity prices. The probability of export restrictions increases more when price changes are measured from a reference level in the long term than in the short term. Among the covariates, agricultural land per capita, the commodity's share in total production, and weather conditions increase the chances of imposing export restrictions. Population density, share of agriculture in GDP, urbanization rate, and political economy indicators all have a negative influence on the likelihood of export controls.

Agricultural EconomicsVol. 56(6)
Food and Agriculture Organization of the United Nations (IT), International Food Policy Research Institute (US)
Openalex Percentile: Top 3%
Economics of Agriculture and Food Markets
9.39
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