Spatiotemporal evolution characteristics and driving factors of the spatial correlation network structure of China’s new quality productive forces

2025

Ziyuan Kexue, Vol 47, Iss 2, Pp 373-388 (2025)

[Objective] This study aimed to explore the spatial association network structure and driving factors of new quality productive forces, providing references for its improvement and contributing to the high-quality economic and social development. [Methods] Based on existing research, a comprehensive evaluation indicator system for new quality productive forces was constructed from three aspects: scientific and technological productivity, green productivity, and digital productivity. The social network analysis method was used to explore the spatial association network structure and process of change of new quality productive forces in 30 provinces of China’s mainland from 2013 to 2022. The quadratic assignment procedure (QAP) regression analysis method was applied to dynamically analyze the driving factors of the spatial association network of new quality productive forces. [Results] (1) During the study period, China’s new quality productive forces continuously improved, but there were significant spatial differences. The new quality productive forces showed a spatial distribution characteristic of being higher in the east and lower in the west. (2) The spatial association of new quality productive forces had spatial network characteristics. During the study period, the connectivity of the spatial association network of new quality productive forces increased, while its stability decreased. (3) The eastern region has long been in the core position in the spatial association network of new quality productive forces, with a high centrality, and is the beneficiary of factor flows. In contrast, the central, western, and northeastern regions have lower centrality and are the factor spill-over parties in the spatial association network of new quality productive forces. (4) Industrial structure, foreign trade, the development level of science and education, transportation level, informatization level, and geographical proximity had a driving effect on the formation of the spatial association network of new quality productive forces. [Conclusion] Promoting the development of the spatial association network of new quality productive forces is of great significance for its improvement. It is recommended to improve the spatial association network of new quality productive forces by enhancing the quality of nodes in the network, strengthening the interaction between different regions, and enhancing the overall network connectivity.

article

Chinese

Science Press, PR China, 2025.

new quality productive forces, scientific and technological productive forces, green productive forces, digital productive forces, spatial correlation network, social network analysis, Environmental sciences, GE1-350, Biology (General), QH301-705.5