Differentiated peak pathways and driving factors of industrial CO<sub>2</sub> emissions at the provincial level in China.

is relatively low. Only under the low-carbon scenario can they almost achieve carbon peaking by 2030. The paper discusses industrial emission reduction strategies by controlling "super emitters" provinces, formulating differentiated emission reduction measures based on influencing factors, and practicing a low-carbon development path.

Authors

Chenjun Du (ORCID: https://orcid.org/0000-0003-0617-7897)
Kangkang Gu (ORCID: https://orcid.org/0000-0001-5163-1820)
Zi Wang (ORCID: https://orcid.org/0000-0002-3953-0493)
Huiyan Ge
Changnan Kang

Institutions

Anhui Jianzhu University (CN)
Anhui University (CN)
Institute of Geographic Sciences and Natural Resources Research (CN)

Publication Details

Journal: PubMed
Published: 2026-05-10
DOI: https://doi.org/10.1186/s13021-026-00434-4
Primary Topic: Environmental Impact and Sustainability
Type: article
Field-Weighted Citation Impact: 0.00

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article

Differentiated peak pathways and driving factors of industrial CO₂ emissions at the provincial level in China.

Chenjun Du, Kangkang Gu, Zi Wang, Huiyan Ge et al.

May 10, 2026

PubMed

Environmental Impact and Sustainability

article

Differentiated peak pathways and driving factors of industrial CO₂ emissions at the provincial level in China.

Chenjun Du, Kangkang Gu, Zi Wang, Huiyan Ge, Changnan Kang

May 10, 2026article en

Abstract

is relatively low. Only under the low-carbon scenario can they almost achieve carbon peaking by 2030. The paper discusses industrial emission reduction strategies by controlling "super emitters" provinces, formulating differentiated emission reduction measures based on influencing factors, and practicing a low-carbon development path.

PubMed

Anhui Jianzhu University (CN), Anhui University (CN), Institute of Geographic Sciences and Natural Resources Research (CN)

Industry, innovation and infrastructure

Openalex Percentile: Top 7%

Environmental Impact and Sustainability

DOI Source OpenAlex

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