THERMAL SCIENCE

International Scientific Journal

Zihao Deng

OPPORTUNITIES AND CHALLENGES OF INTELLIGENT GREEN TRANSITION BASED ON STATISTICAL DYNAMICAL ANALYSIS

ABSTRACT
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.
KEYWORDS
statistical analysis, green transition, multivariate extreme value
PAPER SUBMITTED: 2025-01-13
PAPER REVISED: 2025-04-30
PAPER ACCEPTED: 2025-05-22
PUBLISHED ONLINE: 2026-04-12
DOI REFERENCE: https://doi.org/10.2298/TSCI2602907D
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2026, VOLUME 30, ISSUE No. 2, PAGES [907 - 918]
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Opportunities and challenges of intelligent green transition based on statistical dynamical analysis

© 2026 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence