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

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  • Dezhen Wang

    (College of Economics and Management, Xinjiang Agricultural University, Urumqi 830052, China
    Business School, Yulin Normal University, Yulin 537000, China)

  • Buwajian Abula

    (College of Economics and Management, Xinjiang Agricultural University, Urumqi 830052, China)

  • Aniu Jizuo

    (School of Public Policy & Management, Tsinghua University, Beijing 100084, China)

  • Jianhua Si

    (School of International Studies, Renmin University, Beijing 100872, China)

  • Kaiyang Zhong

    (School of Economic Information Engineering, Southwestern University of Finance and Economics, Chengdu 611130, China)

  • Yujiao Zhou

    (School of Economics, Southwestern University of Finance and Economics, Chengdu 611130, China)

Abstract

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.

Suggested Citation

  • Dezhen Wang & Buwajian Abula & Aniu Jizuo & Jianhua Si & Kaiyang Zhong & Yujiao Zhou, 2022. "Agricultural Openness and the Risk of COVID-19 Incidence: Evidence from China," IJERPH, MDPI, vol. 19(6), pages 1-18, March.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:6:p:3517-:d:772459
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    References listed on IDEAS

    as
    1. Yang Liu & Yanlin Yang & Huihui Li & Kaiyang Zhong, 2022. "Digital Economy Development, Industrial Structure Upgrading and Green Total Factor Productivity: Empirical Evidence from China’s Cities," IJERPH, MDPI, vol. 19(4), pages 1-23, February.
    2. Ruguo Fan & Yibo Wang & Jinchai Lin, 2021. "Study on Multi-Agent Evolutionary Game of Emergency Management of Public Health Emergencies Based on Dynamic Rewards and Punishments," IJERPH, MDPI, vol. 18(16), pages 1-22, August.
    3. Kaiyang Zhong & Chenglin Li & Qing Wang, 2021. "Evaluation of Bank Innovation Efficiency with Data Envelopment Analysis: From the Perspective of Uncovering the Black Box between Input and Output," Mathematics, MDPI, vol. 9(24), pages 1-18, December.
    4. B. Bhaskara Rao & Maheshwar Rao, 2009. "Openness and growth in Fiji: some time series evidence," Applied Economics, Taylor & Francis Journals, vol. 41(13), pages 1653-1662.
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    Cited by:

    1. Mingsong Hao & Chuntian Lu & Xi Zhou & Jing Xu, 2023. "How Agricultural Farmers Respond to Risks during the COVID-19 Pandemic: An Exploration through the Dual Social Capitals Approach," Agriculture, MDPI, vol. 13(2), pages 1-18, February.
    2. Kahaer Abula & Buwajian Abula & Xinyu Wang & Dezhen Wang, 2022. "Performance Evaluations and Influencing Factors of the Agricultural Product Trade Supply Chain between China and Central Asian Countries," Sustainability, MDPI, vol. 14(23), pages 1-27, November.

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