2022
DOI: 10.1016/j.foodpol.2021.102204
|View full text |Cite
|
Sign up to set email alerts
|

Has global agricultural trade been resilient under coronavirus (COVID-19)? Findings from an econometric assessment of 2020

Abstract: Global agricultural trade, which increased at the end of 2020, has been described as “resilient” to the impacts of the COVID-19 coronavirus pandemic; however, the size and channels of its quantitative impacts are not clear. Using a reduced-form, gravity-based econometric model for monthly trade, we estimate the effects of COVID-19 incidence rates, policy restrictions imposed by governments to curb the outbreak, and the de facto reduction in human mobility/lockdown effect on global agricultural trade through th… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

2
38
0
1

Year Published

2022
2022
2023
2023

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 69 publications
(54 citation statements)
references
References 21 publications
2
38
0
1
Order By: Relevance
“…12 The original sample includes 99 importing countries which trade with 196 exporting countries. These data have been used recently to look at the recent effects of trade tensions and of the COVID-19 pandemic on trade flows (Berthou and Stumpner, 2022;Grant et al, 2021;Arita et al, 2022). Figure A3 shows that TDM covers almost the universe of goods trade, as the aggregation of all import flows account for about 95 percent of goods trade, as reported by the IMF Direction of Trade Statistics.…”
Section: Modeling International Spilloversmentioning
confidence: 99%
See 2 more Smart Citations
“…12 The original sample includes 99 importing countries which trade with 196 exporting countries. These data have been used recently to look at the recent effects of trade tensions and of the COVID-19 pandemic on trade flows (Berthou and Stumpner, 2022;Grant et al, 2021;Arita et al, 2022). Figure A3 shows that TDM covers almost the universe of goods trade, as the aggregation of all import flows account for about 95 percent of goods trade, as reported by the IMF Direction of Trade Statistics.…”
Section: Modeling International Spilloversmentioning
confidence: 99%
“…Since the truncation of import flows at zero biases the standard log-linear OLS approach and leads to inconsistent coefficient estimates, we follow an extensive trade literature on gravity models (Silva andTenreyro, 2006, 2022;Anderson and Yotov, 2016;Espitia et al, 2022;Arita et al, 2022;Yotov, 2022) and estimate equation 5 by Poisson pseudo-maximum likelihood (PPML), as implemented by Correia et al (2020). Standard errors are clustered at the exporter level, which is the source of variation in the stringency index.…”
Section: Modeling International Spilloversmentioning
confidence: 99%
See 1 more Smart Citation
“…The coronavirus pandemic acted as a trade impediment because governments implemented public health and trade policies to combat the disease (Evenett et al, 2022 ). In response to the disease outbreak, global agricultural and food trade fell by 5% to 10% in 2020 compared to the past 4 years while the estimated trade effects are more substantial for the non‐agricultural sector (Arita et al, 2022 ). Even for countries part of the same trading block, the overall trade decreased by 5% (Barbero & José de Lucio, 2021 ).…”
mentioning
confidence: 99%
“…First, we are the first to assess the impact of COVID‐19 related import facilitating and export restricting NTMs on agricultural and food trade using a credible causal inference design that relies on variation between treated and untreated varieties (product‐country pairs). Earlier studies concerned with the trade effects of COVID‐19 have overlooked the differential impacts caused by these temporary trade measures (Arita et al, 2022 ; Evenett et al, 2022 ; Lee & Prabhakar, 2021 ). Our paper is the first to show that export restricting NTMs played an essential role in shaping trade patterns of targeted varieties .…”
mentioning
confidence: 99%