HKU Jockey Club Enterprise Sustainability Global Research Institute
World-Class Hub for Sustainability
HKU JC Sustainability Index
HKU JC Sustainability Index
Why HKU JC Sustainability Index?
The Hong Kong University Jockey Club Sustainability Index (HKU JC Sustainability Index) is a set of indices developed by HKU researchers. Designed for researchers and interested stakeholders, it provides publicly accessible metrics to assess sustainability issues.
Sustainability landscape is constantly evolving, with new issues emerging and best practices being developed, sustainability indices play important roles by not just reflecting the overarching trends but also serving as critical benchmarks, and recognizing companies that emphasize sustainability and social responsibility.
Despite the increasing popularity of sustainability indices, there are challenges and issues such as data quality and availability, the lack of consistency of evaluation criteria and rating methodology for companies, greenwashing, etc. Against the backdrop of such challenges, it is important for academia to unleash its research and innovation potential to address these issues and to create novel, useful, and impactful sustainability measures.
Indices at a Glance
Firm-level Climate Change Exposure Index
Prof. Ruishen Zhang
A new methodology for quantifying firm-level climate change exposure from earnings conference calls. The index captures attention paid by managers and financial analysts to climate topics.
Social Preference-Weighted Sustainability Index
Prof. Guojun He
This research focuses on developing a novel weighting allocation strategy based on social preference—a departure from current market practices that rely solely on capital.
Carbon Emission Perceptions by Consumers
Prof. Sara Kim
This index development aims to highlight the gap between consumer beliefs about carbon emissions from product manufacturing and the actual emissions.
Local Energy Zone-related Index
Prof. Chao Ren
A novel research paradigm and dataset – dubbed ‘LEZ’ – will be introduced to facilitate urban carbon neutrality research and assessment globally, with particular relevance for China.
AI-Driven ESG KPI Data Platform
Prof. Hailiang Chen
To enable transparent and accessible benchmarking of environmental and societal impacts, we introduce an open data platform that harnesses advanced Artificial Intelligence (AI) to systematically extract, standardize, and publish Key Performance Indicator (KPI) data from Environmental, Social, and Governance (ESG) reports.
ESG Attention Index
Prof. Alan Kwan
The research introduces a new methodology for measuring ESG attention, with two distinct segmentation approaches.
