In the context of China's aim for common prosperity and high-quality economic growth, understanding how green finance influences rural revitalization is pivotal. This study employs provincial data from 2012 to 2020 to explore this dynamic. By integrating the entropy method to weight indicators, alongside a comprehensive index approach, we assess the environmental strata of digital economic advancement, green financial metrics, and rural revitalization indices. Utilizing statistical tools such as the coefficient of variation, Theil index, and dispersion coefficient, we evaluate the temporal and spatial disparities across these dimensions. The analysis leverages a bi-directional fixed-effect model with robust clustering errors to elucidate the nexus between digital economy environments and green finance in fostering rural development. Findings reveal a consistent narrowing of regional disparities within the observed frameworks over the years. More crucially, there's robust evidence suggesting that both digital economic environments and green finance substantially boost rural revitalization. Additionally, enhancements in rural cultural and recreational spending positively correlate with rural developmental strides. Drawing from these insights, the study advocates for policy shifts towards nurturing digital green finance as a catalyst for rural revitalization, thereby steering China closer to its developmental ethos.

Shengran Fu, Shenghao Deng. Research on the Impact Mechanism of Green Finance on Rural Revitalization from the Perspective of Digital Economy Development Level. Academic Journal of Business & Management (2024) Vol. 6, Issue 7: 181-190. https://doi.org/10.25236/AJBM.2024.060725.

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