The Mechanism and Coupling Measurement of Intelligent Digital Technology Empowering the Green and Low-Carbon Transition of the Energy Industry
Keywords:
Intelligent Digital Technology; Green Energy Transition; Coupling Coordination Degree; Dual Carbon Targets; Green Total Factor ProductivityAbstract
Against the backdrop of the global carbon neutrality initiative and China’s “Dual Carbon” strategy, the green and low-carbon transition of the energy industry serves as the core lever for realizing sustainable economic and social development. Intelligent digital technologies represented by artificial intelligence, digital twins, the Internet of Things (IoT), and blockchain have become critical engines driving improvements in energy efficiency and industrial transformation and upgrading. This paper systematically reviews core research outcomes over the past decade worldwide regarding intelligent digital technologies and green energy transition, and constructs an analytical framework spanning four dimensions: technical foundations and application scenarios, functional transmission mechanisms, coupling coordination measurement, and practical transition pathways. It comprehensively interprets the internal logic and research progress of intelligent digital technologies enabling the green transition of the energy industry. The study finds that existing literature has verified three pathways through which intelligent digital technologies advance cost reduction and efficiency gains in the energy sector: optimizing factor allocation, boosting full-chain energy efficiency, and reconstructing industrial value chains. Nevertheless, prevailing research is dominated by a unidirectional empowerment perspective, lacks thorough elaboration on bidirectional coupling mechanisms, insufficiently explores regional industrial heterogeneity, and neglects transition pathways for micro, small, and medium-sized enterprises (MSMEs). Accordingly, this paper further discusses consensus and limitations within current scholarship, and proposes future research directions covering four dimensions: deepening bidirectional coupling mechanisms, designing differentiated regional pathways, exploring the evolutionary behaviors of micro entities, and building a multi-policy coordination system. It provides systematic references for theoretical research and practical advancement of the coordinated digital and green development of the energy industry.
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