Exploring the Role of Digital Finance on Green Finance in the Chinese Context

杨熊元 et al.

Journal of Organizational and End User Computing2026https://doi.org/10.4018/joeuc.401691article
AJG 1ABDC B
Weight
0.50

Abstract

This study examines the S&P Global Renewable Energy Index, the MSCI Global Markets Index, and the S&P Green Bond Index of China to investigate the complex relationship between green finance and digital finance, and to demonstrate how these two mechanisms impact the adoption of renewable energy. This study further examines how digital financial technologies, such as blockchain, mobile payment systems, and big data analytics, can facilitate the acquisition of green funds for renewable energy projects. The investigation shows that digital finance dramatically lowers renewable energy project funding costs. Digital tools have sped up procedures, decreased intermediaries, and boosted risk evaluation, saving money. More people could invest in green energy with cheaper money. The authors observed that digital finance affects sustainable funding differently by region. Digital currency development is slow in rural areas but fast in cities. Digital financing has considerably decreased renewable energy risk and increased transparency.

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.4018/joeuc.401691

Or copy a formatted citation

@article{杨熊元2026,
  title        = {{Exploring the Role of Digital Finance on Green Finance in the Chinese Context}},
  author       = {杨熊元 et al.},
  journal      = {Journal of Organizational and End User Computing},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.4018/joeuc.401691},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Exploring the Role of Digital Finance on Green Finance in the Chinese Context

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.