Evidence map›Paper›PMID 42031961›Full record

ArticleScientific reports2026

Evaluation of carbon sustainable development in the nine provinces and regions of the Yellow River Basin based on carbon ecological footprints.

Rong Gan, Kexin Chen, Yini Li, Jie Tao, Yushun Zhang, Dongwang Wang

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Rong GanSchool of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, 450001, China.
Kexin ChenSchool of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, 450001, China.
Yini LiZhengzhou Water Resources Bureau, Zhengzhou, 450001, China.
Jie TaoSchool of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, 450001, China.
Yushun ZhangHenan Provincial Water Conservancy Technology Application Center, Zhengzhou, 450001, China. ktz2022@163.com.
Dongwang WangHenan Provincial Water Conservancy Technology Application Center, Zhengzhou, 450001, China.

Funding

Henan Provincial Key Laboratory of Water Conservancy Engineering Safety Technology KJZX-JS-YY-202506the National Key Research and Development Program of China No. 2024YFC3211301
6 · The paper itself

Abstract

This study focuses on energy consumption, carbon emissions, and productive land use. Adopting a carbon footprint methodology based on the ecological footprint framework, it accounts for the carbon ecological footprint and carbon carrying capacity of the nine provinces and regions in the Yellow River Basin from 2010 to 2021. By introducing indicators such as carbon deficit/surplus, carbon ecological footprint per 10,000 yuan GDP, and the Carbon Ecological Carrying Capacity Index (ECI), the study assesses the development of the regional carbon system and analyzes its level of sustainability. A carbon ecological footprint model for the nine provinces and regions was established to analyze temporal trends and spatiotemporal distribution patterns. Furthermore, the driving factors of the carbon ecological footprints were examined using the logarithmic mean Divisia index (LMDI) decomposition method. The results indicate that the per capita carbon ecological footprint in the nine provinces and regions remained relatively stable overall, though some provinces, such as the Inner Mongolia Autonomous Region, exhibited an upward trend. Qinghai Province and the Inner Mongolia Autonomous Region had the highest per capita carbon ecological footprints, while Henan and Sichuan Provinces were at comparatively lower levels. In terms of carbon carrying capacity, Shandong and Gansu Provinces showed the most significant increases in per capita carbon carrying capacity, whereas the Ningxia Hui Autonomous Region experienced a slight fluctuating decline. Most areas in Qinghai and Sichuan Provinces were in a state of carbon surplus, while the remaining regions were in carbon deficit. The carbon ecological footprint per 10,000 yuan GDP across the nine provinces and regions showed an overall decreasing trend, indicating improved efficiency in carbon resource utilization. The Carbon Sustainable Development Index (CSI) varied notably among provinces: Qinghai Province recorded the highest and most stable index; Sichuan Province ranked above Henan Province, which, despite a lower index, still demonstrated an overall upward trend.

Indexed as

Carbon ecological footprintLogarithmic Mean Divisia Index MethodSustainable developmentYellow River Basin

Identifiers

PMID42031961
PMCPMC13272663

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.