Measuring and forecasting global digital economy efficiency: An integrated approach using the super-efficiency sequential SBM model and machine learning algorithms.

Zhishuo Zhang|Hu Liu|Tao Shi|Qian Li|Huayong Niu


Anthology ID:DBLP:journals/ipm/ZhangLSLN26
Year:2026
Venue:Information Processing and Management
Pages:104638
URL:https://doi.org/10.1016/J.IPM.2026.104638
DOI:https://doi.org/10.1016/J.IPM.2026.104638
DBLP:journals/ipm/ZhangLSLN26
BibTeX:
@article{zhang-2026-measuring, author = {Zhishuo Zhang and Hu Liu and Tao Shi and Qian Li and Huayong Niu}, title = {{Measuring and forecasting global digital economy efficiency: An integrated approach using the super-efficiency sequential SBM model and machine learning algorithms}}, journal = {Information Processing and Management}, volume = {63}, number = {5}, pages = {104638}, year = {2026}, url = {https://doi.org/10.1016/J.IPM.2026.104638}, doi = {https://doi.org/10.1016/J.IPM.2026.104638} }