Acta Agriculturae Zhejiangensis ›› 2022, Vol. 34 ›› Issue (9): 2043-2054.DOI: 10.3969/j.issn.1004-1524.2022.09.23

• Agricultural Economy and Development • Previous Articles     Next Articles

Evaluation and spatiotemporal evolution of agricultural supply quality in China in 2003-2019

YIN Xiyang(), CHEN Yixuan, LI Dongmei(), YU Xi   

  1. College of Management, Sichuan Agricultural University, Chengdu 611130, China
  • Received:2021-10-05 Online:2022-09-25 Published:2022-09-30
  • Contact: LI Dongmei

Abstract:

Based on the understanding of the connotation of agricultural supply quality, the evaluation index system of agricultural supply quality was constructed from five dimensions of factor, efficiency, structure, “green” and benefit. By using the agricultural development data of China (excluding of Hongkong, Macao, Taiwan) from 2003 to 2019, the agricultural supply quality in China was analyzed via the global entropy method and Moran’s I index. It was shown that there was an obvious upward trend of China’s agricultural supply quality. The quality of supply factor, supply efficiency and supply efficiency were the main driving forces of China’s agricultural supply quality in recent years, while the quality of supply structure and supply “green” were the short board. The agricultural supply quality in all regions of China exhibited an upward trend, with obvious regional differences as “high in the east and low in the west”, and the differences between the east and the west were expanding. China’s agricultural supply quality had significant spatial correlation, and some regions had strong spatial dependence and spatial stability. Therefore, it was suggested to change the agricultural development mode, adjust the agricultural structure, formulate differentiated agricultural supply objectives, strengthen regional agricultural exchanges and cooperation, to promote the further improvement of China’s agricultural supply quality.

Key words: agricultural supply quality, evaluation index system, global entropy method, Moran’s I index

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