Spatiotemporal Evolution and Nonlinear Associations of Digital Enterprise Agglomeration in China: An XGBoost‐SHAP Approach
Based on micro‐level data for nearly five million firms, this study measures the spatial agglomeration of digital firms in 297 Chinese cities from 2000 to 2023 using the DO. GIS‐based spatial analysis and an XGBoost‐SHAP machine learning model are then used to examine its spatiotemporal evolution and associated facto...