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Research on the mechanism of data elements empowering high−quality agricultural development
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Shiyi YUAN, Lu XIONG, Shengwei WANG, Baohua LIU, Yongen ZHANG*
Science & Technology Review | 2026, 44(12) : 132 - 140
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Science & Technology Review | 2026, 44(12): 132-140
Research on the mechanism of data elements empowering high−quality agricultural development
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Shiyi YUAN, Lu XIONG, Shengwei WANG, Baohua LIU, Yongen ZHANG*
Affiliations
  • Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China
Published: 2026-06-28 doi: 10.3981/j.issn.1000-7857.2025.11.00090
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As a new type of production factor, data elements have become an important driving force for promoting high−quality development of agriculture. Based on provincial panel data from 2011 to 2024, this study constructs an evaluation system for high−quality agricultural development from the two dimensions of efficiency and structure. Using a two−way fixed effects model, it empirically examines the causal effect of data elements on high−quality agricultural development and explores the underlying mechanisms through which data elements promote such development. The findings reveal that data elements significantly improve both the efficiency and structure of high−quality agricultural development. The efficiency of agricultural labor allocation and the upgrading of industrial structure serve as positive mediators, jointly facilitating the "efficiency enhancement and structural upgrading" of agriculture. The enabling effect of data elements on high−quality agricultural development is heterogeneously influenced by agricultural resource allocation efficiency, agricultural R&D and innovation capacity, and the industrial co−agglomeration index. The eastern and centra regions exhibit higher levels in terms of agricultural resource allocation efficiency, agricultural R&D and innovation capacity, and the industrial co−agglomeration index. In the western region, the effects on agricultural resource allocation efficiency and the industrial co−agglomeration index are not significant, whereas the effect on agricultural R&D and innovation capacity is significant. Based on these results, this paper proposes accelerating the deep integration of data elements with the entire agricultural industry chain, enhancing the level of digital technology empowerment of agricultural labor, and building a data−driven modern agricultural industrial system.

data elements  /  high−quality agricultural development  /  agricultural total factor productivity  /  mediating mechanism
Shiyi YUAN, Lu XIONG, Shengwei WANG, Baohua LIU, Yongen ZHANG. Research on the mechanism of data elements empowering high−quality agricultural development[J]. Science & Technology Review, 2026 , 44 (12) : 132 -140 . DOI: 10.3981/j.issn.1000-7857.2025.11.00090
Year 2026 volume 44 Issue 12
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doi: 10.3981/j.issn.1000-7857.2025.11.00090
  • Receive Date:2025-11-09
  • Online Date:2026-07-17
  • Published:2026-06-28
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  • Received:2025-11-09
  • Revised:2026-04-22
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    Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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