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Agricultural Openness and the Risk of COVID-19 Incidence: Evidence from China.
Wang, Dezhen; Abula, Buwajian; Jizuo, Aniu; Si, Jianhua; Zhong, Kaiyang; Zhou, Yujiao.
  • Wang D; College of Economics and Management, Xinjiang Agricultural University, Urumqi 830052, China.
  • Abula B; Business School, Yulin Normal University, Yulin 537000, China.
  • Jizuo A; College of Economics and Management, Xinjiang Agricultural University, Urumqi 830052, China.
  • Si J; School of Public Policy & Management, Tsinghua University, Beijing 100084, China.
  • Zhong K; School of International Studies, Renmin University, Beijing 100872, China.
  • Zhou Y; School of Economic Information Engineering, Southwestern University of Finance and Economics, Chengdu 611130, China.
Int J Environ Res Public Health ; 19(6)2022 03 16.
Article in English | MEDLINE | ID: covidwho-1742473
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Year: 2022 Document Type: Article Affiliation country: Ijerph19063517

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Year: 2022 Document Type: Article Affiliation country: Ijerph19063517