Evidence map›Paper›PMID 40456784›Full record

ArticleScientific data2025

Building material stocks and embodied carbon dataset for two urban agglomerations in China from 2000 to 2020.

Hanwei Liang, Baizhe Zhang, Xuepeng Qian, Ying Chen, Ye Luo, Yujin Huang, Lu Sun, Chen Zhou, Jie Long, Liang Dong

Abstract read
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Hanwei LiangCollaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Research Center of Urban Sustainable Development/School of Geographical Sciences, Nanjing University of Information Science & Technology (NUIST), Nanjing, 210044, China.
Baizhe ZhangCollaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Research Center of Urban Sustainable Development/School of Geographical Sciences, Nanjing University of Information Science & Technology (NUIST), Nanjing, 210044, China.
Xuepeng QianGraduate School of Global Environmental Studies, Sophia University, Tokyo, Japan.
Ying ChenDepartment of Public and International Affairs (PIA), City University of Hong Kong, Hong Kong, Hong Kong SAR.
Ye LuoDepartment of Public and International Affairs (PIA), City University of Hong Kong, Hong Kong, Hong Kong SAR.
Yujin HuangSchool of Energy and Environment (SEE), City University of Hong Kong, Hong Kong, Hong Kong SAR.
Lu SunSchool of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an, 710049, China.
Chen ZhouCollaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Research Center of Urban Sustainable Development/School of Geographical Sciences, Nanjing University of Information Science & Technology (NUIST), Nanjing, 210044, China.
Jie LongCollaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Research Center of Urban Sustainable Development/School of Geographical Sciences, Nanjing University of Information Science & Technology (NUIST), Nanjing, 210044, China.
Liang DongDepartment of Public and International Affairs (PIA), City University of Hong Kong, Hong Kong, Hong Kong SAR. liadong@cityu.edu.hk.ORCID http://orcid.org/0000-0001-9747-5851

Funding

National Natural Science Foundation of China (National Science Foundation of China) 72061137071Natural Science Foundation of Guangdong Province (Guangdong Natural Science Foundation) 9240146
6 · The paper itself

Abstract

Built environment is critical for net zero transition. Urban agglomerations, characterized by dense concentrations of buildings, significantly contribute to these emissions. Therefore, it is critical to analyze and manage embodied carbon emissions (ECE) from buildings across all lifecycle stages. Notably, the "cradle to gate" stage, spanning from raw material extraction to product manufacturing, accounts for the majority of total lifecycle emissions. This study provides comprehensive data inventories of material stocks and associated embodied carbon emissions for the cradle-to-gate stage in China's two major urban agglomerations: the Yangtze River Delta (YRD) and the Greater Bay Area (GBA). The dataset provides data, theoretical foundation and application scenarios for further research. By providing a comprehensive dataset and valuable technical support for future research in carbon mitigation strategies, this study contributes to global efforts to meet the carbon reduction targets established by the Paris Agreement. It lays the groundwork for informed urban planning and environmental policy, facilitating detailed, longitudinal analyses of building materials and their carbon footprints, which are crucial for sustainable development.

Identifiers

PMID40456784
PMCPMC12130189

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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.