Abstract:

Using data from A-share listed manufacturing firms in China between 2008 and 2019， this paper exploits the launch of government public data platforms as a quasi-natural experiment and employs a difference-in-differences（DID） framework to examine the impact and mechanisms of data factor sharing on firms’supply chain resilience. The results show that data factor sharing significantly improves supply chain resilience， and this finding remains robust after a series of validity checks. Mechanism analyses suggest that data factor sharing enhances supply chain resilience by reducing firms’ information friction costs， improving investment efficiency， and optimizing the competitive environment. Heterogeneity tests reveal that the effect is more pronounced for highly digitalized firms， private enterprises， technology-intensive firms， and downstream firms in the supply chain. Furthermore， we find evidence of supply chain network spillover effects： the launch of public data platforms in downstream client locations promotes the resilience of upstream firms. These findings provide important policy implications for accelerating data factor sharing and enhancing supply chain resilience in the era of the digital economy.

Key words: data factors, public data platforms, supply chain resilience, supply chain spillovers