Academy of Interdisciplinary Studies Division of Environment and Sustainability 239 Green Finance and Big Data Supervisor: ZHOU Zoey Yiyuan / ENVR Student: GU Xiang / MAEC Course: UROP 1100, Summer This project centers on the in-depth analysis of sustainability-related data, with a particular focus on the ESG (Environmental, Social, and Governance) reports of SSE 180-listed firms and their alignment with China’s green finance taxonomy. The key tasks undertaken encompassed verifying and supplementing the 2023 ESG data, collecting comprehensive 2024 data, systematically organizing ESG and assurance reports, and conducting preliminary yet detailed analyses. Through these efforts, the project not only enhances the understanding of corporate sustainability practices but also explores their intricate linkages to national green finance frameworks—including the specific standards, measurement metrics, and verification processes of the green finance taxonomy. It lays a solid and comprehensive foundation for further in-depth research on sustainability policies and corporate behavior, providing valuable insights for both academic exploration and practical application. Green Finance and Big Data Supervisor: ZHOU Zoey Yiyuan / ENVR Student: IP Pui Yin Anson / QFIN Course: UROP 1100, Spring Four utility companies - Constellation Energy, Electricité de France, Bruce Power, and Ontario Power Generation - have been examined in regards to financing projects related to power generation through nuclear fission technology. Among the four companies, they have all issued green bonds that help to finance nuclear power projects. These green bonds share a few commonalities, such as all being medium to longterm bonds, as well as being tied to the respective companies’ “green bond” frameworks, which guide the companies in the allocation of funds from the bonds. Among these companies, bond financing has emerged to be more preferable compared to other financing methods, mainly due to less risky cash flows and more dedicated allocation of proceeds to clean energy projects. Green Finance and Big Data Supervisor: ZHOU Zoey Yiyuan / ENVR Student: IRFAN Muhammad Zohaib / COMP Course: UROP 1100, Summer This report outlines a project focused on downloading available data for a series of green bonds listed in an Excel file provided by the professor. The work involved using the Electronic Municipal Market Access (EMMA) platform to identify the bond-issuing authority by state, match the maturity date, and download any related files for each bond. Since the scope was limited to bonds issued in the United States, entries for issuers outside the country were excluded. In some cases, issuer names in the Excel file did not match exactly with those on the EMMA website, and fuzzy matching proved ineffective. As a result, a more computationally expensive approach was used which involved checking the top 10 issuer search results to match the bond with. Even with this method, not all maturing bonds listed in the Excel file were available on the site, so only data for the matching issuers and bonds could be downloaded and saved.
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