Evidence map›Paper›PMID 41554816›Full record

ArticleScientific reports2026

Impact of Spatial structure of urban agglomerations on green innovation in China.

Shumin Dong, Kai Liu

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.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

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

2 authors.

Shumin DongCollege of Geography and Environment, Shandong Normal University, Jinan, 250358, China.
Kai LiuCollege of Geography and Environment, Shandong Normal University, Jinan, 250358, China. kailiu@sdnu.edu.cn.

Funding

National Natural Science Foundation of China 72004124Shandong Provincial Education Department, China 2022RW064
6 · The paper itself

Abstract

Monocentric and polycentric configurations represent two distinct spatial structures within urban agglomerations (UAs). Determining which structure more effectively fosters green innovation (GI) is crucial for guiding spatial planning and sustainable development in these urban areas. This study examines 19 Chinese UAs from 2007 to 2021, utilizing night light data to quantify the spatial structure of UA via primacy index and employing the number of green patents as a proxy for the level of GI, utilizing an individual and time two-way fixed effects model to explore the spillover effects of these spatial structures on GI. Findings reveal that across all UAs studied, a monocentric structure is more favorable for GI, a conclusion supported by robustness tests. Results vary across different UA types: The spatial structure of national and regional UAs has no significant impact on GI, whereas a monocentric structure significantly enhances GI in local UAs. The study also finds that UA spatial structures impact GI indirectly through mechanisms of traffic integration and environment regulation. Here, traffic integration exerts a positive mediating effect, while environment regulation serves as a negative mediator.

Indexed as

ChinaGreen innovation (GI)MonocentricPolycentricSpatial structureUrban agglomerations (UAs)

Identifiers

PMID41554816
PMCPMC12820189

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.