Policy coordination of public data openness and supercomputing center for agricultural chain resilience

Summary

This quasi-experimental study exploits the staggered rollout of public data platforms and supercomputing centres across 31 Chinese provinces to estimate the causal effect of coordinated digital infrastructure policy on agricultural supply chain resilience. The authors find that policy synergy substantially strengthens resilience through two mechanisms: reduced information barriers between agricultural and related industries, and accelerated adoption of precision agriculture technologies. Effects are substantially larger in central and western regions, suggesting a 'technology compensation effect' where digital infrastructure has disproportionate impact in less-developed agricultural areas.

Regional applicability

This study is specific to the Chinese policy context and provincial governance structures, with findings reflecting China's particular agricultural supply chain characteristics and digital infrastructure rollout strategy. Transferability to United Kingdom conditions would require consideration of different governance frameworks, existing digital infrastructure maturity, and agricultural sector composition, though the conceptual framework linking data openness and computational capacity to supply chain resilience may have broader relevance.

Key measures

Agricultural supply chain resilience index; industrial structure rationalization metrics; agricultural electrification adoption rates; regional heterogeneity coefficients (central/western ~0.089 vs eastern ~0.036)

Outcomes reported

The study examined how coordinated policy deployment of public data platforms and supercomputing centres affects agricultural supply chain resilience using provincial panel data from 31 Chinese provinces (2011–2024). Effects were measured through agricultural supply chain resilience indices, with mechanisms analysed via industrial structure rationalization and agricultural electrification.

Topic tags