Developing a carbon reduction potential indicator: a cross-level analysis of administrative regions in China based on a systematic review

• This study introduces a new indicator, carbon reduction potential (CRP). • We quantified 62 regional carbon reduction pathways across six administrative levels. • The top three national reduction pathways are renewable energy, shifting energy-intensive industries, and CCS. • The building sector has the highest CRP, followed by transportation and industry. This study introduces a Carbon Reduction Potential (CRP) indicator and quantifies 62 regional carbon reduction pathways identified from 109 articles across six administrative levels: national, provincial, city, county, township, and village. This study reveals that city-level research is the most prevalent, accounting for 42.20%, followed by national-level at 29.36% and provincial-level research at 22.94%. At the national level, the top three pathways for carbon reduction within the energy demand sector are: renewable energy, the shift of energy-intensive industries, and carbon capture and storage, with CRPs of 0.34, 0.23, and 0.16, respectively, by 2040. For the energy supply sector, the most significant pathway is phase-out of coal power with CRP of 1.0 by 2050. The building sector shows the highest CRP, followed by transportation and industrial sectors. At the provincial level, Hebei and Jiangxi have the largest CRPs of 0.64 and 0.45, respectively, by 2050. At the city level, the two highest CRP pathways identified for Beijing, both with a value of 0.80 in 2060, are energy transformation and electrification. This study also explores how the regional development imbalance across China leads to variations in reduction pathways and offers insights into the cross-level effects of carbon reduction pathways.

Institutions

Publication Details

Journal
Ecological Indicators
Published
2025-10-23
DOI
https://doi.org/10.1016/j.ecolind.2025.114312
Primary Topic
Environmental Impact and Sustainability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Developing a carbon reduction potential indicator: a cross-level analysis of administrative regions in China based on a systematic review

Ecological Indicators
Environmental Impact and Sustainability
article

Developing a carbon reduction potential indicator: a cross-level analysis of administrative regions in China based on a systematic review

article en

Abstract

• This study introduces a new indicator, carbon reduction potential (CRP). • We quantified 62 regional carbon reduction pathways across six administrative levels. • The top three national reduction pathways are renewable energy, shifting energy-intensive industries, and CCS. • The building sector has the highest CRP, followed by transportation and industry. This study introduces a Carbon Reduction Potential (CRP) indicator and quantifies 62 regional carbon reduction pathways identified from 109 articles across six administrative levels: national, provincial, city, county, township, and village. This study reveals that city-level research is the most prevalent, accounting for 42.20%, followed by national-level at 29.36% and provincial-level research at 22.94%. At the national level, the top three pathways for carbon reduction within the energy demand sector are: renewable energy, the shift of energy-intensive industries, and carbon capture and storage, with CRPs of 0.34, 0.23, and 0.16, respectively, by 2040. For the energy supply sector, the most significant pathway is phase-out of coal power with CRP of 1.0 by 2050. The building sector shows the highest CRP, followed by transportation and industrial sectors. At the provincial level, Hebei and Jiangxi have the largest CRPs of 0.64 and 0.45, respectively, by 2050. At the city level, the two highest CRP pathways identified for Beijing, both with a value of 0.80 in 2060, are energy transformation and electrification. This study also explores how the regional development imbalance across China leads to variations in reduction pathways and offers insights into the cross-level effects of carbon reduction pathways.

Ecological IndicatorsVol. 180
Macau University of Science and Technology (MO), Peking University (CN)
Openalex Percentile: Top 50%
Environmental Impact and Sustainability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.