HUBEI AGRICULTURAL SCIENCES ›› 2026, Vol. 65 ›› Issue (7): 233-240.doi: 10.14088/j.cnki.issn0439-8114.2026.07.035

• Economy & Management • Previous Articles     Next Articles

Reconstruction and empirical analysis of the evaluation indicator system for agricultural modernization during the process of digital transformation: Taking 153 villages in Yubei District, Chongqing as an example

ZHOU Lin1, WU Zhao-juan1, CHEN Wen-yan2, LIU Peng3   

  1. 1. Institute of Agricultural Engineering, Chongqing Academy of Agricultural Sciences/Key Laboratory of Smart Agriculture in Southwest Mountainous Regions,Ministry of Agriculture and Rural Affairs (Co-built by Ministry and Province), Chongqing 401329, China;
    2. Chongqing Municipal Commission of Agriculture and Rural Affairs, Chongqing 401121, China;
    3. Chongqing Rural Land Exchange Co., Ltd., Chongqing 400020, China
  • Received:2026-03-10 Online:2026-07-25 Published:2026-07-23

Abstract: To scientifically evaluate the level of agricultural modernization in the process of digital transformation, from a micro-perspective of villages and based on the theories of agricultural modernization and digital agriculture, a comprehensive evaluation system for agricultural modernization was reconstructed. The system covered 5 dimensions and 17 specific indicators. Based on field surveys, primary village-level data were collected from 153 administrative villages in Yubei District, Chongqing. An empirical analysis was conducted using methods such as the Analytic Hierarchy Process (AHP), entropy weighting method, Moran′s Index, and obstacle degree model. The results indicated that the agricultural modernization index at the village level in Yubei District showed significant variation (0.001 2-0.261 4), with high-level and relatively high-level villages accounting for only 13.08%. The region was generally in the initial stage of digital transformation and exhibited a distinct positive skewness. In terms of spatial patterns, village-level agricultural modernization levels were characterized by a discrete and random distribution with weak inter-regional linkage, and a large-scale collaborative feature had yet to be formed. The output value of leisure agriculture, the application of intelligent equipment, and the proportion of online agricultural product sales were the primary obstacle factors affecting the level of agricultural modernization in Yubei District. It was recommended to further promote the development of agricultural modernization by advancing coordinated regional development, deepening the integrated application of science and technology, promoting the deep integration of primary, secondary, and tertiary industries, and strengthening the cultivation of digital talent.

Key words: agricultural modernization, digital transformation, evaluation index system, regional disparities, obstacle factors

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