Coupling Coordination and Heterogeneous Driving Factors of New Quality Productive Forces and Industrial Structure Optimization: A Geodetector-Based Spatiotemporal Analysis
Spatiotemporal analysis reveals steady gains in coupling coordination between productivity and industrial upgrading in China, highlighting regional disparities.
Key Points
To evaluate the spatiotemporal evolution of coupling coordination between New Quality Productive Forces (NQPF) and Industrial Structure Optimization and Upgrading (ISOU) across China and identify regional driving mechanisms.
Applied a coupling coordination degree model to longitudinal provincial data from China spanning 2011 to 2023.
Utilized the Geodetector model and interaction detection to analyze principal driving factors and their heterogeneous effects across regions, including the Yangtze River Economic Belt and Yellow River Basin.
Both NQPF and ISOU increased from 2011 to 2023, shifting nationally from moderate to mild imbalance, though nearly 77% of provinces remained imbalanced by 2023.
High coordination clustered in eastern hubs (Beijing, Shanghai, Guangdong, Jiangsu), reflecting an east-to-west gradient of widening developmental disparity.
Economic development held the strongest national explanatory power, while regional drivers varied significantly, with education dominating in the Yellow River Basin and factor interactions showing nonlinear enhancement effects.