Evidence map›Paper›PMID 36284566›Full record

ArticleAgricultural systems2021

Response and resilience of Asian agrifood systems to COVID-19: An assessment across twenty-five countries and four regional farming and food systems.

John M Dixon, Jeevika Weerahewa, Jon Hellin, Maria Fay Rola-Rubzen, Jikun Huang, Shalander Kumar, Anup Das, Muhammad Ejaz Qureshi, Timothy J Krupnik, Kamil Shideed and 35 more

Open access · hybridAbstract read
In one paragraph

Article in Agricultural systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
19.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 84 citations in OpenAlex.

  1. Pooled it
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  9. COVID and Gender: A Narrative Review of the Asia-Pacific Region.International journal of environmental research and public health · 2022
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

45 authors at 20 institutions in 19 countries.

John M DixonAustralian National University, Canberra, Australia.
Jeevika WeerahewaDepartment of Agricultural Economics and Business Management, Faculty of Agriculture, University of Peradeniya, Peradeniya, Sri Lanka.
Jon HellinSustainable Impact Platform, International Rice Research Institute, Los Banos, Laguna, Philippines.
Maria Fay Rola-RubzenSchool of Agriculture and Environment, University of Western Australia, Perth, Australia.
Jikun HuangPeking University, Beijing, China.
Shalander KumarInternational Crops Research Institute for the Semi-Arid Tropics, Hyderabad, Telangana, India.
Anup DasIndian Council of Agricultural Research Research Complex for North-Eastern Hill Region, Tripura, India.
Muhammad Ejaz QureshiFenner School of Environment & Society, Australian National University, Canberra, Australia.
Timothy J KrupnikInternational Maize and Wheat Improvement Center, Dhaka, Bangladesh.
Kamil ShideedSustainable Agricultural Development and Food Security, Amman, Jordan.
Mangi L JatInternational Maize and Wheat Improvement Center, New Delhi, India.
P V Vara PrasadDepartment of Agronomy, Sustainable Intensification Innovation Lab, Kansas State University, Manhattan, Kansas, USA.
Sudhir YadavSustainable Impact Platform, International Rice Research Institute, Los Banos, Laguna, Philippines.
Aamer IrshadFood and Agriculture Organisation, Islamabad, Pakistan.
Abdybek AsanalievKyrgyz National Agrarian University, Bishkek, Kyrgyzstan.
Aigul AbugalievaKazakh Research Institute of Agriculture and Plant Growing, Almaty, Kazakhstan.
Aziz KarimovRegional Office for Central Asia and the South Caucasus, International Center for Biosaline Agriculture, Uzbekistan.
Basundhara BhattaraiInstitute for Study and Development Worldwide, Sydney, Australia.
Carol Q BalgosUniversity of the Philippines Mindanao, Davao City, Philippines.
Fred BenuNusa Cendana University, Kupang, Indonesia.
Hiroshi EharaInternational Center for Research and Education in Agriculture, Nagoya University, Nagoya, Japan.
Jharendu PantWorldFish, Batu Maung, Penang, Malaysia.
Jon M P SarmientoSchool of Agriculture and Environment, University of Western Australia, Perth, Australia.
Jonathan C NewbyAlliance of Bioversity International and International Center for Tropical Agriculture, Vientiane, Laos.
Jules PrettySchool of Life Sciences, University of Essex, Colchester, United Kingdom.
Hiromi TokudaGraduate School of Bioagricultural Sciences, Nagoya University, Nagoya, Japan.
Horst WeyerhaeuserInternational Maize and Wheat Improvement Center, Chiang Mai, Thailand.
Larry N DigalUniversity of the Philippines Mindanao, Davao City, Philippines.
Lingling LiGansu Agricultural University, Lanzhou, China.
Md Abdur Rouf SarkarAgricultural Economics Division, Bangladesh Rice Research Institute, Gazipur, Bangladesh.
Md Zihadul AbedinInternational Maize and Wheat Improvement Center, Dhaka, Bangladesh.
Pepijn SchreinemachersWorld Vegetable Center, East and Southeast Asia, Kasetsart, Bangkok, Thailand.
Quentin GraftonAustralian National University, Canberra, Australia.
Ram C SharmaInternational Center for Agriculture Research in the Dry Areas, Tashkent, Uzbekistan.
Saidjamol SaidzodaThe Tajik Academy of Agricultural Sciences, Dushanbe, Tajikistan.
Santiago Lopez-RidauraInternational Maize and Wheat Improvement Center, El Batan, Mexico.
Shuan CoffeyCrawford Fund, Canberra, Australia.
Suan Pheng Kam18, Lorong Geh Chong Keat, Tanjung Bungah, 11200 Penang, Malaysia.
Su Su WinDepartment of Agricultural Research, Ministry of Agriculture, Livestock and Irrigation, Yezin, Myanmar.
Suwanna PraneetvatakulFaculty of Economics, Kasetsart University, Bangkok, Thailand.
Tek MaraseniUniversity of Southern Queensland, Toowoomba, Australia.
Van TouchUniversity of Sydney, Sydney, Australia.
Wei-Li LiangHebei Agricultural University, Baoding, Hebei, China.
Yashpal Singh SaharawatInternational Fertilizer Development Centre, New Delhi, India.
Jagadish TimsinaGlobal Evergreening Alliance, Melbourne, Australia.
Melbourne Genomics Health Alliance · AUAustralian National University · AUHebei Agricultural University · CNInternational Maize and Wheat Improvement Center · BDInternational Rice Research Institute · PHKasetsart University · THKazakh Research Institute of Agriculture and Plant growing · KZNagoya University · JPUniversity of Essex · GBUniversity of Western Australia · AUWater Authority of Jordan · JOBangladesh Rice Research Institute · BDCentro Internacional de Mejoramiento de Maíz Y Trigo · MXChiang Mai University · THIndian Council of Agricultural Research · INInternational Crops Research Institute for the Semi-Arid Tropics · INInternational Maize and Wheat Improvement Center · INInterstate Commission for Water Coordination of Central Asia · UZKansas State University · USKyrgyz National Agrarian University named after K.I. Skryabin · KG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: The COVID-19 pandemic has been affecting health and economies across the world, although the nature of direct and indirect effects on Asian agrifood systems and food security has not yet been well understood. Objectives: This paper assesses the initial responses of major farming and food systems to COVID-19 in 25 Asian countries, and considers the implications for resilience, food and nutrition security and recovery policies by the governments. Methods: A conceptual systems model was specified including key pathways linking the direct and indirect effects of COVID-19 to the resilience and performance of the four principal Asian farming and food systems, viz, lowland rice based; irrigated wheat based; hill mixed; and dryland mixed systems. Based on this framework, a systematic survey of 2504 key informants (4% policy makers, 6% researchers or University staff, 6% extension workers, 65% farmers, and 19% others) in 20 Asian countries was conducted and the results assessed and analysed. Results and conclusion: The principal Asian farming and food systems were moderately resilient to COVID-19, reinforced by government policies in many countries that prioritized food availability and affordability. Rural livelihoods and food security were affected primarily because of disruptions to local labour markets (especially for off-farm work), farm produce markets (notably for perishable foods) and input supply chains (i.e., seeds and fertilisers). The overall effects on system performance were most severe in the irrigated wheat based system and least severe in the hill mixed system, associated in the latter case with greater resilience and diversification and less dependence on external inputs and long market chains. Farming and food systems' resilience and sustainability are critical considerations for recovery policies and programmes, especially in relation to economic performance that initially recovered more slowly than productivity, natural resources status and social capital. Overall, the resilience of Asian farming and food systems was strong because of inherent systems characteristics reinforced by public policies that prioritized staple food production and distribution as well as complementary welfare programmes. With the substantial risks to plant- and animal-sourced food supplies from future zoonoses and the institutional vulnerabilities revealed by COVID-19, efforts to improve resilience should be central to recovery programmes. Significance: This study was the first Asia-wide systems assessment of the effects of COVID-19 on agriculture and food systems, differentiating the effects of the pandemic across the four principal regional farming and food systems in the region.

Indexed as

Agrifood-systemsCOVID-19GenderMarketsPolicyResilience

Identifiers

PMID36284566
PMCPMC9584831
OpenAlexW3175453201

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.