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ESG uncertainty and carbon emission reduction: Evidence from Chinese manufacturing firms

  • Li Yin
  • , Keying Wu
  • , Dong Xu
  • , Jing Dai*
  • *Corresponding author for this work

Research output: Journal PublicationArticlepeer-review

Abstract

Amid growing climate pressures, existing studies emphasize compliance or value-maximizing responses of environment, social, and governance (ESG), yet the role of macro-level ESG uncertainty remains underexplored. Drawing upon real option theory and Motivation–Opportunity–Ability framework, this study examines how ESG uncertainty influences carbon emission intensity and how this relationship can be altered by context-specific factors. Employing a panel dataset of 3406 Chinese manufacturing firms between 2010 and 2023, we find a positive relationship between ESG uncertainty and carbon emission intensity. However, this detrimental effect of ESG uncertainty is significantly weakened by the presence of government subsidies (motivation), supplier concentration (opportunity), and digital innovation (ability). Overall, our study offers a more comprehensive view on firms’ carbon emission performance by investigating the interaction between macro-context and micro-foundations, which provides novel insights for managers and policymakers seeking to accelerate the sustainability transition in an uncertain world.

Original languageEnglish
Article number110103
JournalInternational Journal of Production Economics
Volume300
DOIs
Publication statusPublished - Oct 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Free Keywords

  • Carbon emission intensity
  • ESG uncertainty
  • MOA framework
  • Real option theory
  • Sustainability

ASJC Scopus subject areas

  • General Business,Management and Accounting
  • Economics and Econometrics
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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