A dynamic data envelopment analysis of regional innovation efficiency in China

Authors

• Guoliang YANG, Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, ChinaFollow
• Zhongcheng GUAN, Institute of Science and Development, Chinese Academy of Sciences, Beijing 100190, China School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, ChinaFollow

Document Type

Research-Article

Authors

Yuanyu Lou, Mingxia Xiang, Guoliang Yang, Zhongcheng Guan, Tong Chen

Journal Name

Spatial Economic Analysis

Keywords

Digital economy, dynamic data envelopment analysis (DEA), regional innovation efficiency, two-stage DEA

Abstract

This study evaluates regional innovation efficiency in China under the digital economy using a nested parallel dynamic two-stage data envelopment analysis model. The model captures heterogeneous innovation actors, cross-stage linkages and intertemporal carry-over effects. Results for 30 Chinese regions from 2011 to 2020 show clear regional disparities. Efficiency generally follows a descending pattern from eastern to central, western and northeastern China. The central region performs relatively well in research and development (R&D), while western regions lag in commercialisation. The findings highlight the importance of digitalisation in improving innovation performance and provide implications for regional innovation policy. © 2026 Regional Studies Association.

https://doi.org/10.1080/17421772.2026.2671849