Artificial Intelligence Policy and Supply Chain Disruption Risk: Evidence from Innovation-Driven and Cost-Saving Effects
Published: 12 March 2026| Version 1 | DOI: 10.17632/6zfrfxfvbt.1
Contributors:
Tianyue Pei, Xuesheng Chen, Liya ZhengDescription
This replication package contains all the data, code, and instructions for the article "Artificial Intelligence Policy and Supply Chain Disruption Risk: Evidence from Innovation-Driven and Cost-Saving Effects." The package is designed for use with Stata18.
Files
Institutions
- Shandong UniversityShandong, Jinan
- Ningbo University of Finance & EconomicsZhejiang, Ningbo
Categories
Financial Risk, Applied Economics