Opportunities and challenges of intelligent green transition based on statistical dynamical analysis

The study employs statistical dynamics and structural equation modeling to analyze the impact of economic policies on industrial intelligent green transition, focusing on technology fusion development as a key mediating mechanism. Using stratified sampling of 100 enterprises across steel, chemical, and high-tech sectors, we construct a structural equation modeling framework to examine causal pathways from exogenous factors (policy, market environment, technological innovation) to endogenous outcomes (industrial structure optimization, performance, sustainability, and green development). Empirical results reveal that policy support significantly enhances technology fusion, which in turn drives industrial upgrading and sustainable performance, with notable regional and industrial disparities. These findings provide empirical evidence for optimizing policy design to accelerate China?s industrial green transformation.