AI, green credit and digital finance drive regional environmental sustainability


CO-EDP, VisionRICO-EDP, VisionRI | Updated: 03-10-2025 22:26 IST | Created: 03-10-2025 22:26 IST
AI, green credit and digital finance drive regional environmental sustainability
Representative Image. Credit: ChatGPT

A new study examines how digital inclusive finance (DIF) contributes to improving ecological resilience in China. The research, titled “The Mechanism of Promoting Ecological Resilience Through Digital Inclusive Finance: Empirical Test Based on China’s Provincial Panel Data” and published in Sustainability, uses provincial-level data from 2011 to 2020 to analyze both the direct and indirect impacts of DIF on ecological resilience.

The authors find that DIF plays a significant role in driving green growth and enhancing resilience to environmental pressures, particularly when coupled with strong environmental regulations, advanced artificial intelligence (AI) applications, and expanded green credit. The findings underline the importance of bridging regional digital divides to ensure that all provinces can benefit from the ecological dividends of financial digitization.

How digital inclusive finance improves ecological resilience

The analysis shows that DIF contributes to ecological resilience by reallocating financial resources toward low-carbon sectors and sustainable projects. This redirection supports a more efficient use of capital, enabling businesses and households to adopt cleaner production methods and greener technologies.

The study demonstrates that DIF can improve environmental governance by leveraging digital platforms to enhance transparency and accountability in resource use. Digital finance applications also help reduce transaction costs, making it easier for small and medium-sized enterprises to access capital for green innovation.

Crucially, the research reveals that DIF’s impact is amplified through three intermediary channels:

  • Environmental regulation, as digital tools enhance the monitoring and enforcement of policies;
  • AI development, which improves resource allocation and optimizes ecological protection measures;
  • Green credit, which increases funding for low-carbon projects.

Regional disparities and the need for targeted strategies

The study highlights notable regional disparities in the effectiveness of DIF. Eastern provinces with more mature digital economies benefit significantly more from DIF’s ecological contributions than central and western regions. The authors attribute this gap to differences in digital infrastructure, financial inclusion, and the readiness of local economies to adopt innovative technologies.

These findings point to the urgent need for investment in digital infrastructure across less-developed areas to bridge the divide. Expanding internet access, improving digital literacy, and fostering the use of mobile payment platforms can help lagging regions unlock the ecological potential of digital finance.

The research also calls for stronger policy coordination between provinces, recommending that best practices from leading regions be shared and adapted to local contexts. Such collaboration can accelerate the diffusion of green financial tools, including carbon credit markets and app-based incentives for low-carbon consumption.

Policy recommendations for maximizing green gains

The authors  stress that government policies and financial institutions must work hand in hand to ensure that digital finance fulfills its green potential. They advocate for targeted financial instruments that link credit access to measurable environmental outcomes, such as tax incentives for lending to low-carbon industries and risk-sharing mechanisms for sustainable investments.

The study also highlights the importance of promoting behavioral change by encouraging the adoption of app-based carbon accounts, eco-rewards, and other digital programs that incentivize low-carbon lifestyles among consumers.

Finally, the authors argue that expanding the role of DIF requires integrating it into long-term national and regional environmental strategies. This includes supporting research and development in green AI technologies, improving regulations to safeguard data privacy and environmental integrity, and investing in human capital to ensure equitable access to new financial tools.

  • FIRST PUBLISHED IN:
  • Devdiscourse
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