Sustainability· 2026Q1
How Digital-Intelligence Integration Enhances Energy Resilience: A Mixed-Methods Study
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- 2026year
Short summary
Integrating digital and intelligence technologies significantly enhances energy resilience, outperforming either technology alone, according to a mixed-methods study of 30 Chinese provinces (2015-2023).
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Key points
- Digital-intelligence integration significantly enhances energy resilience compared to digitalization or intelligence alone.
- The integration improves energy resilience by fostering green innovation and financial development.
- Informal environmental regulation positively moderates the relationship, while formal regulation does not.
- Energy resilience improvement relies on coordinated configurations of multiple factors, allowing for regional differentiation.
AI-generated from the title and abstract; the full text is not read.
Abstract
Against the backdrop of green and low-carbon development and growing risks to energy systems, enhancing energy resilience helps ensure energy security, maintain the stable operation of energy systems, and support their sustainable development. Based on panel data from 30 provinces in China from 2015 to 2023, this study employs a mixed-method approach combining multiple linear regression and fuzzy-set qualitative comparative analysis (fsQCA) to examine the impact effects and configurational paths of digital-intelligence integration on energy resilience. The results show that (1) compared with digitalization or intelligence alone, digital-intelligence integration significantly enhances energy resilience; (2) digital-intelligence integration can improve energy resilience by promoting dual green innovation and financial development; (3) informal environmental regulation plays a positive moderating role, whereas formal environmental regulation shows no significant moderating effect; and (4) further fsQCA analysis reveals that the improvement of energy resilience depends on the coordinated configuration of multiple factors, and different regions can achieve enhancement through differentiated combinations of conditions. These findings offer empirical evidence and theoretical support for local tailored adoption of digital-intelligence integration to improve energy resilience and promote the sustainable development of energy systems.
The authors' abstract, as published at the source. Sustainability, 2026 · DOI ↗
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Field: General Energy
General EnergyEnergy