Public perceptions of environmental, social, and governance (ESG) based on social media data: Evidence from China

Environmental and social challenges are intensifying globally. Then along comes more demands to deliver successful environmental, social, and governance (ESG) outcomes. Understanding public perceptions of ESG is paramount to gaining public support, advancing ESG actions, and creating a sustainable ESG policy system. This study aims to explore the general public's perceptions of ESG. The setting is China, where ESG is in its infancy and ESG policies are incomplete. Given the richness of social media data, a social media analytics (SMA) framework is applied to obtain public perceptions from Sina Weibo, the largest Chinese social media platform. The SMA framework integrates descriptive analysis, topic modeling,…

• CU
  City University of Hong Kong
• ST
  Science, Technology and Innovation Commission of Shenzhen Municipality

  Award: 20180507181647320