Understanding carbon resilience under public health emergencies: a synthetic difference-in-differences approach.

ABSTRACT: Public health emergencies influence urban carbon emissions, yet an in-depth understanding of deviations between regional emissions under such emergencies and normal levels is lacking. Inspired by the concept of resilience, we introduce the concept of regional carbon resilience and propose four resilience indicators covering periods during and after emergencies. A synthetic difference-in-differences model is employed to compute these indicators, providing a more suitable approach than traditional methods assuming unchanged levels before and after emergencies. Using the COVID-19 pandemic in China as a case study, focusing on the power and industry sectors, we find that over 40% regions exhibit strong resilience (> 0.9). Average in-resilience (0.764 and 0.783) is higher than post-resilience (

SUBMITTER: Wu C 

PROVIDER: S-EPMC11374798 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature