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