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农业大数据的流动过程和价值创造——基于供需匹配视角的分析

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数据作为数字经济时代的新型生产要素,促进了农业生产、流通和消费等各个环节的效率提升和数字化转型,大数据的价值创造受到越来越多的关注.在已有文献的基础上,本文结合农业大数据的特征,从供需匹配视角出发阐述农业大数据的流动过程和价值创造.本文发现农户、消费者、数字贸易平台、金融机构和政府部门等共同构成农业大数据生态系统,各个主体通过农业大数据紧密连接.在农业大数据价值链的各个阶段,具有供需匹配功能的数字贸易平台在农业大数据价值创造中能够发挥重要作用.在不同的大数据应用场景中,数字贸易平台能够提高农户定制化生产和市场适应能力,降低消费者搜寻成本、提高消费者购物体验,降低数字贸易平台交易、营销和流通成本,提高普惠金融水平和政府治理能力.
The Flow and Value Creation of Agricultural Big Data:A Perspective Based on Supply-demand Matching
Data,as a new type of production factor in the digital economy era,has promoted effi-ciency enhancement and digital transformation in various aspects of agricultural production,circulation,and consumption.The value creation of big data receives increasing attention.Building on existing liter-ature and considering the characteristics of agricultural big data,this paper discusses the flow process and value creation of agricultural big data from the perspective of supply-demand matching.The study finds that farmers,consumers,digital trade platforms,financial institutions,and government collectively form an agricultural big data ecosystem,with each entity closely interconnected through agricultural big data.Digital trade platforms,possessing supply-demand matching capabilities,play a significant role in the value creation of the agricultural big data value chain.In different big data application scenarios,these platforms enhance the farmers'ability for customized production and risk resistance,reduce con-sumers'search costs and improve their shopping experiences,lower the transaction,marketing,and lo-gistics costs for digital trade platforms,and improve the level of inclusive finance and government gov-ernance capabilities.

Agricultural big dataSupply-demand matchingValue creation of agricultural big data

马述忠、濮方清、肖赵华

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浙江大学中国数字贸易研究院,杭州,310058

浙江财经大学金融学院,杭州,310018

农业大数据 供需匹配 农业大数据价值创造

国家社科基金重大项目国家自然科学基金面上项目

23&ZD08472373130

2024

农业经济问题
中国农业经济学会 中国农业科学院农业经济与发展研究所

农业经济问题

CSTPCDCSSCICHSSCD北大核心
影响因子:3.177
ISSN:1000-6389
年,卷(期):2024.(8)
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