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Agricultural Openness and the Risk of COVID-19 Incidence: Evidence from China

At present, there are large number of articles on the impact of COVID-19, but there are only a few articles on the impact of COVID-19 and international agriculture. Agriculture product is different from other industrial products. If domestic food cannot be self-sufficient, it must be resolved throug...

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Autores principales: Wang, Dezhen, Abula, Buwajian, Jizuo, Aniu, Si, Jianhua, Zhong, Kaiyang, Zhou, Yujiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8954341/
https://www.ncbi.nlm.nih.gov/pubmed/35329202
http://dx.doi.org/10.3390/ijerph19063517
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author Wang, Dezhen
Abula, Buwajian
Jizuo, Aniu
Si, Jianhua
Zhong, Kaiyang
Zhou, Yujiao
author_facet Wang, Dezhen
Abula, Buwajian
Jizuo, Aniu
Si, Jianhua
Zhong, Kaiyang
Zhou, Yujiao
author_sort Wang, Dezhen
collection PubMed
description At present, there are large number of articles on the impact of COVID-19, but there are only a few articles on the impact of COVID-19 and international agriculture. Agriculture product is different from other industrial products. If domestic food cannot be self-sufficient, it must be resolved through imports. This will inevitably face the dilemma between the opening up agriculture and the risk of importing COVID-19. This paper pioneered the use of entropy method, TOPSIS method and grey correlation analysis to predict the correlation between agricultural opening to the outside world and the input and spread of COVID-19. We use the correlation matrix quantifying the number of confirmed COVID-19 cases and agricultural openness to deduce that there is a significant positive correlation between the flow of agricultural products caused by China’s agricultural opening-up and the spread of COVID-19, and use the proposed matrix to predict the spread risk of COVID-19 in China. The results of the empirical analysis can provide strong evidence for decision-makers to balance the risk of COVID-19 transmission with the opening of agricultural markets, and they can take this evidence into full consideration to formulate reasonable policies. This has great implications both for preventing the spread of COVID-19 and for agricultural opening-up.
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spelling pubmed-89543412022-03-26 Agricultural Openness and the Risk of COVID-19 Incidence: Evidence from China Wang, Dezhen Abula, Buwajian Jizuo, Aniu Si, Jianhua Zhong, Kaiyang Zhou, Yujiao Int J Environ Res Public Health Article At present, there are large number of articles on the impact of COVID-19, but there are only a few articles on the impact of COVID-19 and international agriculture. Agriculture product is different from other industrial products. If domestic food cannot be self-sufficient, it must be resolved through imports. This will inevitably face the dilemma between the opening up agriculture and the risk of importing COVID-19. This paper pioneered the use of entropy method, TOPSIS method and grey correlation analysis to predict the correlation between agricultural opening to the outside world and the input and spread of COVID-19. We use the correlation matrix quantifying the number of confirmed COVID-19 cases and agricultural openness to deduce that there is a significant positive correlation between the flow of agricultural products caused by China’s agricultural opening-up and the spread of COVID-19, and use the proposed matrix to predict the spread risk of COVID-19 in China. The results of the empirical analysis can provide strong evidence for decision-makers to balance the risk of COVID-19 transmission with the opening of agricultural markets, and they can take this evidence into full consideration to formulate reasonable policies. This has great implications both for preventing the spread of COVID-19 and for agricultural opening-up. MDPI 2022-03-16 /pmc/articles/PMC8954341/ /pubmed/35329202 http://dx.doi.org/10.3390/ijerph19063517 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Dezhen
Abula, Buwajian
Jizuo, Aniu
Si, Jianhua
Zhong, Kaiyang
Zhou, Yujiao
Agricultural Openness and the Risk of COVID-19 Incidence: Evidence from China
title Agricultural Openness and the Risk of COVID-19 Incidence: Evidence from China
title_full Agricultural Openness and the Risk of COVID-19 Incidence: Evidence from China
title_fullStr Agricultural Openness and the Risk of COVID-19 Incidence: Evidence from China
title_full_unstemmed Agricultural Openness and the Risk of COVID-19 Incidence: Evidence from China
title_short Agricultural Openness and the Risk of COVID-19 Incidence: Evidence from China
title_sort agricultural openness and the risk of covid-19 incidence: evidence from china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8954341/
https://www.ncbi.nlm.nih.gov/pubmed/35329202
http://dx.doi.org/10.3390/ijerph19063517
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