19953: Mapping Regional Concentrations of ESG-Related Talent: A Longitudinal Analysis Using LinkedIn Data

As organizations increasingly emphasize Environmental, Social, and Governance (ESG) initiatives, the demand for ESG-skilled professionals is rising worldwide. Using LinkedIn profile data, focusing on ESG-related keywords and user-generated content, we track the development and clustering of ESG expertise. We combine these findings with socioeconomic indicators, including policy initiatives, regional economic growth, and unemployment rates, to examine whether areas with more substantial ESG talent pools experience faster adoption of sustainability practices. Our analysis leverages a data lake infrastructure to accommodate the high volume of unstructured profile data, performing geospatial mapping and time-series modeling to detect shifts in talent clusters. The findings clarify how regional ecosystems facilitate or hinder the development of ESG expertise, assisting the human resource management practices and policy initiatives aimed at scaling ESG talent pools.

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