Evidence map›Paper›PMID 39343980›Full record

ArticleScientific reports2024

Quantification and sensitivity assessment of Chinese provincial ecological compensation in the perspective of carbon deficit redistribution.

Feng Yan, Jiao Pang, Yue Liu, Xiaoming An, Xingyu Wang, Xin Liu, Lin Shen, Yaheng Chen

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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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

8 authors.

Feng YanSchool of Water Resources and Environment, China University of Geosciences (Beijing), Beijing, 100083, China.
Jiao PangBohai College, Hebei Agricultural University, Huanghua, 061100, China.
Yue LiuSchool of Land Science and Technology, China University of Geosciences (Beijing), Beijing, 100083, China.
Xiaoming AnCollege of Management, Ocean University of China, Qingdao, 266100, China.
Xingyu WangCollege of Grassland Agricultural Science and Technology, Lanzhou University, Lanzhou, 730020, China.
Xin LiuCollege of Management, Hefei University of Technology, Hefei, 230009, China.
Lin Shen *Bohai College, Hebei Agricultural University, Huanghua, 061100, China. shenlin@hebau.edu.cn.
Yaheng Chen *School of Land and Resources, Hebei Agricultural University, Baoding, 071001, China. chenyaheng@126.com.

Funding

Social Science Foundation Project of Hebei (No.HB23YJ008)
6 · The paper itself

Abstract

The ecological compensation mechanism is a tool for managing regional development and promoting the green economy. This paper proposes a revised model for carbon emissions and absorption based on IPCC, then analyses the spatial and temporal variations of carbon emissions, absorption, and deficit in 31 provinces of China from 2001 to 2019. A model was developed to redistribute carbon deficits and compensate for ecological imbalances, with the aim of eliminating background differences between regions. The concept of ecological compensation sensitivity was proposed, and a redundancy analysis (RDA) was conducted to detect possible influencing factors. Results indicate that: (1) The carbon deficits were relatively substantial in the centre and developed coastal regions, which were the subject regions of China's ecological compensation. Meanwhile, the northwest and southwest regions were the object regions of ecological compensation, and the compensated object regions tended to extend towards the southeast. The majority of compensated subject areas are generally less sensitive than compensated object regions. (2) The graph of carbon deficit volume over time shows that China's two carbon targets are closely aligned. The distribution of China's ecological compensation amounts follows the pattern of provincial economic development levels, with higher compensation amounts concentrated in the central and coastal regions. There is a positive correlation between GDP, year, and population size with carbon emission and carbon deficit. Additionally, there is a positive correlation between year, region, and carbon absorption. (3) This compensation model can strongly incentivise the compensation subject area to proactively adjust its economic development model to cope with the significant compensation pressure. Additionally, it can fully encourage the compensation recipient area to continue adhering to the green economic development model. The conclusions of the study hold significant reference value for promoting the development of a green, low-carbon economy.

Indexed as

Carbon deficit redistributionChinaEcological compensationRDASensitivity assessment

Identifiers

PMID39343980
PMCPMC11439942

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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.