Carbon Emission Driving Mechanisms and Decoupling Effects in Liaoning Province from the Perspective of Industrial Heterogeneity: An Empirical Analysis Based on LMDI and Tapio Models

DOI

10.2991/978-94-6239-721-7_18How to use a DOI?

Keywords

Industrial Heterogeneity; LMDI Decomposition; Carbon Emissions; Decoupling Effect; Liaoning Province

Abstract

Against the backdrop of the dual carbon strategy, low-carbon transition in Liaoning Province is highly urgent. From the perspective of industrial heterogeneity, this study divides Liaoning’s industries into high energy-intensive and high-emission sectors and low energy-intensive and low-carbon sectors. Using the LMDI additive decomposition method and Tapio decoupling index model, it identifies carbon emission drivers and analyzes decoupling characteristics between economic growth and carbon emissions. The results show that carbon emissions in Liaoning are dominated by high energy-intensive sectors, where economic output is the main driving force for emission growth and energy intensity is the key to emission reduction. Low energy-intensive sectors maintain steady emission reductions supported by both energy intensity and carbon intensity effects, with little impact from economic output. Liaoning’s overall decoupling fluctuates significantly with obvious industrial heterogeneity. High energy-intensive sectors are mainly in unstable weak decoupling and rely heavily on energy intensity, while low energy-intensive sectors basically achieve strong decoupling. Divergent driving forces lead to different decoupling performances: a single emission reduction path limits decoupling quality in high energy-intensive sectors, whereas diversified mitigation measures weaken the economic-emission linkage in low energy-intensive sectors. Accordingly, this paper proposes classified industrial regulation, further energy efficiency improvement and energy structure optimization in high energy-intensive industries, and consolidation of emission reduction achievements in low energy-intensive industries, so as to support deep decoupling of economic growth from carbon emissions for Liaoning and similar old industrial bases.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Jinming Cheng
AU  - Feifei Yan
PY  - 2026
DA  - 2026/07/06
TI  - Carbon Emission Driving Mechanisms and Decoupling Effects in Liaoning Province from the Perspective of Industrial Heterogeneity: An Empirical Analysis Based on LMDI and Tapio Models
BT  - Proceedings of the 2026 6th International Conference on Public Management and Intelligent Society (PMIS 2026)
PB  - Atlantis Press
SP  - 183
EP  - 193
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-721-7_18
DO  - 10.2991/978-94-6239-721-7_18
ID  - Cheng2026
ER  -