TY - JOUR
TI - Opportunities and challenges of intelligent green transition based on statistical dynamical analysis
AU - Deng Zihao
JN - Thermal Science
PY - 2026
VL - 30
IS - 2
SP - 907
EP - 918
PT - Article
AB - 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.
DO - 10.2298/TSCI2602907D
ER -