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Efficiency Analysis of the Crop Production in China in 2019 and 2020: Role of Uncertainty Perceptions in COVID-19

Author

Listed:
  • Yue-Si Yuan
  • Zi-Yi Cao
  • Yu-Ting Chen
  • Pei-Lin Gong
  • Guo-Hui Huang
  • Lu He
  • Anibal Coronel

Abstract

This paper employs data envelopment analysis (DEA) to determine crop production efficiency in 15 major provinces of China during 2019-2020. The total power of agricultural machinery, the application amount of chemical fertilizer, the irrigation area of cultivated land, the area of grain sowing, and the total capacity of reservoirs in each province are defined as the input items. The production of food, production of oil plants, and production of fruits are considered output items. According to the findings from the DEA, the most efficient crop production is observed in Shandong and Xinjiang provinces. We also discuss the role of farmers’ uncertainty perceptions in COVID-19. By cluster analysis, the provinces with large grain sown area and high grain yield are Henan and Heilongjiang, the provinces with moderate grain production in the grain sown area are Hunan, Hubei, Jiangxi, Guizhou, and Yunnan, and Xinjiang, Shandong, Hebei, Anhui, Sichuan, Jiangsu, Inner Mongolia, and Jilin are the provinces with low grain production.

Suggested Citation

  • Yue-Si Yuan & Zi-Yi Cao & Yu-Ting Chen & Pei-Lin Gong & Guo-Hui Huang & Lu He & Anibal Coronel, 2022. "Efficiency Analysis of the Crop Production in China in 2019 and 2020: Role of Uncertainty Perceptions in COVID-19," Discrete Dynamics in Nature and Society, Hindawi, vol. 2022, pages 1-6, May.
    • Handle: RePEc:hin:jnddns:7044474
    DOI: 10.1155/2022/7044474
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