HUBEI AGRICULTURAL SCIENCES ›› 2023, Vol. 62 ›› Issue (11): 233-239.doi: 10.14088/j.cnki.issn0439-8114.2023.11.040

• Economy & Management • Previous Articles     Next Articles

Evaluation of green agricultural development level in Xinjiang under the background of rural revitalization

MA Teng-fei, LIU Jing   

  1. College of Public Administration (Law School), Xinjiang Agricultural University, Urumqi 830052, China
  • Received:2022-04-16 Online:2023-11-25 Published:2023-12-25

Abstract: Based on the relevant data of agricultural green development in Xinjiang from 2010 to 2019, the entropy weight method was used to calculate the weight of each index, so as to evaluate the level of agricultural green development in Xinjiang. The results showed that the overall agricultural green development level of Xinjiang showed an upward trend from 2010 to 2019, which was characterized by a decline of agricultural green development level in the early stage and a steady improvement in the later stage. Among them, the factors of ecological protection level had a greater contribution to the green development of agriculture. From the specific indicators analysis: Waterlogging area, chemical oxygen demand emissions, fertilizer use per unit of cultivated land area, etc., had a greater impact on the green development of agriculture. In order to promote the steady improvement of Xinjiang’s agricultural green development level in the future, it was proposed to increase capital investment, promote soil erosion control and waterlogging control, increase incentives and guidance, promote the reduction and efficiency of chemical fertilizer and agricultural film, strengthen law enforcement and supervision, and continue to reduce the emission of chemical oxygen demand. At the same time, it was necessary to strengthen scientific research and innovation in the agricultural field, and continue to increase Xinjiang’s grain output.

Key words: agricultural green development level, entropy weight method, index system, evaluation, Xinjiang

CLC Number: