Evidence map›Paper›PMID 42323753›Full record

ArticleCarbon balance and management2026

Urban-scale and urban cluster-scale: how population agglomeration shapes carbon emission intensity.

Haoqing Zheng, Chunli Ji, Huafeng Wang, Songlin Zhang

Abstract read
In one paragraph

Article in Carbon balance and management, 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

The trial behind it

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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

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5 · Who and what money

Authors and funding

4 authors.

Haoqing ZhengSchool of Business, Shaoxing University, No. 900 Chengnan Avenue, Yuecheng, Shaoxing, 312000, Zhejiang, China.ORCID http://orcid.org/0009-0000-3575-2788
Chunli JiCentre for Gaming and tourism Studies, Macao Polytechnic University, Pearl Jubilee Building, Taipa Campus, Avenida Padre Tomás Pereira, Taipa, Macao, 999078, China.ORCID http://orcid.org/0000-0003-4749-8419
Huafeng WangShaoxing Institute of Technology, No. 2799 Qunxian Middle Road, Shaoxing, 312000, Zhejiang, China. whftony2025@163.com.
Songlin ZhangSchool of Business, Shaoxing University, No. 900 Chengnan Avenue, Yuecheng, Shaoxing, 312000, Zhejiang, China.

Funding

National Social Science Fund of China 22BJL070
6 · The paper itself

Abstract

Urban clusters have become the fundamental spatial units for achieving carbon reduction, yet the pivotal interactive role of urban-scale and urban cluster-scale population agglomeration in shaping carbon emission intensity (CEI) has been largely overlooked. To address this gap, we develop a dual-scale analytical framework to examine how urban-scale population agglomeration affects CEI and how this relationship is moderated by urban cluster-scale population agglomeration. Based on panel data for 221 cities in 19 urban clusters in China from 2011 to 2022, we employ a two-way fixed effects model for the empirical analysis. The results reveal a robust U-shaped relationship between urban-scale population agglomeration and CEI: urban-scale population agglomeration initially reduces CEI but increases it beyond a turning point. More importantly, urban cluster-scale population agglomeration, measured using an inverse-distance-weighted agglomeration index, significantly flattens this U-shaped relationship. Green technological innovation and the co-agglomeration of diverse functional segments are identified as the two main channels through which this moderating effect operates. Heterogeneity analyses show that the moderating effect is more pronounced in eastern coastal and polycentric urban clusters. Moreover, this effect is stronger within a limited geographic range. These findings provide actionable insights for designing coordinated population agglomeration strategies at both the urban and urban cluster scales and for promoting carbon reduction across multiple scales within urban clusters.

Indexed as

Carbon emission intensityUrban cluster-scale population agglomerationUrban-scale population agglomeration

Identifiers

PMID42323753
PMCPMC13576191

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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.