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The influence of COVID-19 on agricultural economy and emergency mitigation measures in China: A text mining analysis

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  • Dan Pan
  • Jiaqing Yang
  • Guzhen Zhou
  • Fanbin Kong

Abstract

Understanding the influence of COVID-19 on China's agricultural economy and the Chinese government's emergency measures to ease the economic impacts of viral spread can offer urgently-needed lessons while this virus continues to spread across the globe. Thus, this study collected over 750,000 words upon the topic of COVID-19 and agriculture from the largest two media channels in China: WeChat and Sina Weibo, and employed web crawler technology and text mining method to explore the influence of COVID-19 on agricultural economy and mitigation measures in China. The results show that: (1) the impact of COVID-19 on China's agricultural economy at the very first phase is mainly reflected in eight aspects as crop production, agricultural products supply, livestock production, farmers' income and employment, economic crop development, agricultural products sales model, leisure agriculture development, and agricultural products trade. (2) The government's immediate countermeasures include resuming agricultural production and farmers' work, providing financial support, stabilizing agricultural production and products supply, promoting agricultural products sale, providing subsidies, providing agricultural technology guidance and field management, and providing assistance to poor farmers to reduce poverty. (3) The order of government's immediate countermeasures is not all in line with the order of impact aspects, which indicates that more-tailored policies should be implemented to mitigate the strikes of COVID-19 on China's agricultural economy in the future.

Suggested Citation

  • Dan Pan & Jiaqing Yang & Guzhen Zhou & Fanbin Kong, 2020. "The influence of COVID-19 on agricultural economy and emergency mitigation measures in China: A text mining analysis," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-20, October.
  • Handle: RePEc:plo:pone00:0241167
    DOI: 10.1371/journal.pone.0241167
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    9. Tomas Baležentis & Mangirdas Morkūnas & Agnė Žičkienė & Artiom Volkov & Erika Ribašauskienė & Dalia Štreimikienė, 2021. "Policies for Rapid Mitigation of the Crisis’ Effects on Agricultural Supply Chains: A Multi-Criteria Decision Support System with Monte Carlo Simulation," Sustainability, MDPI, vol. 13(21), pages 1-31, October.
    10. Muhammad Umer Arshad & Yuanfeng Zhao & Omer Hanif & Faiza Fatima, 2022. "Evolution of Overall Cotton Production and Its Determinants: Implications for Developing Countries Using Pakistan Case," Sustainability, MDPI, vol. 14(2), pages 1-17, January.
    11. Wenyi Yang & Xueli Wang & Keke Zhang & Zikan Ke, 2020. "COVID-19, Urbanization Pattern and Economic Recovery: An Analysis of Hubei, China," IJERPH, MDPI, vol. 17(24), pages 1-21, December.
    12. Adrián Saldarriaga-Isaza & Dora Elena Jiménez, 2022. "Economic impacts of agricultural policy responses to the outbreak of COVID-19," Estudios Gerenciales, Universidad Icesi, vol. 38(163), pages 200-210, June.
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