Enhancing Green Financing Through AI Analytics and Cross-Domain Data Sharing

The field of green finance has garnered growing international interest in recent years and can contribute to green development towards addressing climate change. This can be supported through emerging technologies in cross-domain data sharing and artificial intelligence (AI). The present study explores ways to leverage existing and innovative methods and technologies related to financial “green” products, such as green bonds alongside research programs aimed at promoting green investments. In this context, we investigate whether AI and cross-organisational and cross-domain data sharing can be effectively leveraged to address the lack of information on green investments. More specifically, we conduct a review on previous scientific research. Therefore, we demonstrate that by finding and exploiting data through various techniques, and by sharing the data among stakeholders, it is possible to optimise and solve issues that will promote sustainable development, thus paving an innovative and necessary path towards the green transition. Based on the derived common acceptance of the necessity to enhance green finance, we propose techniques and technologies for the use of cross-domain data sharing and AI. As proof-of-concept, we subsequently describe two ongoing case studies in the energy and green deal domains, supported by the emerging technology of European Data Spaces. Overall, the analysis and compilation of the derived results can be used by stakeholders including researchers, financial institutions, and investors toward the next steps for the development of green finance.