ORIGINAL RESEARCH article
Front. Environ. Sci.
Sec. Environmental Economics and Management
Volume 13 - 2025 | doi: 10.3389/fenvs.2025.1659906
This article is part of the Research TopicCreating an Economy that is not Reliant on Coal, Oil, and GasView all 4 articles
Asymmetric Decarbonization in the Digital Age: Divergent Pathways of Advanced versus Emerging Economies
Provisionally accepted
- 1Jiangsu Provincial Committee Communist Party College, Nanjing, China
- 2Wuhan University of Technology, Wuhan, China
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Digital technologies are increasingly vital catalysts for industrial green transitions, yet their heterogeneous decarbonization impacts across development countries tiers remain underexplored. We pioneer a novel Hypothetical Extraction Method (HEM) to quantify digital empowerment, revealing asymmetric pathways using sectoral data from 43 economies: Advanced economies exhibit a U-shaped trajectory where digitalization initially reduces emissions/intensity but induces rebound effects beyond optimal thresholds, while emerging economies show an inverted U-curve for domestic digital inputs. Mechanistic analyses confirm technology and scale effects universally exist, but structural effects diverge—digitalization raises capital returns in advanced economies yet reinforces coal dependence in developing contexts. Foreign digital sources demonstrate positive environmental returns in emerging economies. Sectorally, digital technologies function as carbon catalysts in manufacturing through automation efficiencies but act as transitional carbon amplifiers in services due to platform-induced energy rebounds. These findings challenge linear decarbonization assumptions and provide empirical foundations for bifurcated digital-climate policies tailored to national development stages.
Keywords: Digital empowerment, carbon emission, carbon intensity, Value-addeddecomposition, Structural evolution
Received: 04 Jul 2025; Accepted: 12 Sep 2025.
Copyright: © 2025 Yue, Ren, Zhu and Jin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Zhida Jin, jinzhida@whut.edu.cn
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