 The high-quality development of China's green energy economy for promotion of digital finance under deep learning technologyXimeng Li and Qiaomeng Sun International Journal of Innovation and Sustainable Development, 2026, vol. 20, issue 7, 57-75 Abstract: The purpose of this paper is to investigate how digital finance might support the superior growth of China's green energy economy and its regional diversity. In order to systematically uncover the mechanism of digital finance in optimising resource allocation, supporting green technological innovation, and promoting green consumption behaviour, this paper uses theoretical analysis and a deep learning model as its research objects. The findings demonstrate the considerable regional variation in the promotion of digital finance. As a result, this paper examines and validates the mechanism of digital finance in a number of areas, including resource optimisation, technical innovation, and consumer guidance. It also demonstrates the policy support and the regulatory impact of regional economic growth level. This paper contributes to the research in the areas of digital finance and the green energy economy and serves as a reference for maximising regional development policies, reducing regional disparities, and fostering sustainable development. Keywords: deep learning; green energy economy development; regional heterogeneity; green technology innovation. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisde:v:20:y:2026:i:7:p:57-75 Access Statistics for this article More articles in International Journal of Innovation and Sustainable Development from Inderscience Enterprises Ltd |
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