Xu Weicong et al.: Data-Factor Valuation and the Resilience of Agricultural Global Value Chains

Xu Weicong, Lin Fa Qin, Zhang Han

northwest Sci-Tech University of Agriculture and Forestry; China Agricultural University

abstract

under the dual background of the intensification of global trade friction and the reshaping of the agricultural trade pattern by the digital economy, enhancing the resilience of the agricultural global value chain is the key to ensuring national food security and industrial competitiveness, while the ability to value data elements is a powerful grasp of forging the resilience of the value chain. Based on the panel data of 7 agricultural sectors in 55 countries from 2016 to 2021, this paper constructs the comprehensive measurement index of agricultural global value chain resilience and the evaluation system of the value of data elements, and analyzes the deep relationship between the two from the perspective of spatial spillover. The study found that the ability of data element value in the process of enhancing the resilience of agricultural global value chain will produce positive spatial spillover effect, driving the upstream and downstream links of the chain to enhance the resilience of the synergy. The mechanism test shows that this spatial spillover effect is mainly achieved through three paths: enhancing the correlation between upstream and downstream industries, optimizing the matching structure of supply and demand, and improving the efficiency of cross-domain resource allocation. Heterogeneity analysis shows that the spatial spillover effect of data element value-based ability on the value chain resilience of developed countries, deep processing industry and high value-added links is more obvious, and the spatial spillover effect of the value-based ability of digital service elements is stronger than that of digital product elements. The conclusion of the study provides important theoretical support and policy reference for the resilience of agricultural global value chain based on the value ability of data elements.

Keywords

valorization ability of data elements; resilience of agricultural global value chain; industrial association; resource allocation

res.: Finance and Trade Research, Volume 37, No. 6 (Total No. 276), pp. 49-68, 2026.