Evidence map›Paper›PMID 42062365›Full record

ArticleScientific reports2026

Spatial network characteristics and driving factors of renewable energy production-new insights from climate extreme events.

Yi Gao, Simin Shen, Shuo Yang, Boris I Sokolov

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

4 authors.

Yi GaoDepartment of Credit Theory and Financial Management, St Petersburg University, Saint Petersburg, 191034, Russia.
Simin ShenSchool of Economics, Anyang Normal University, Anyang, 455000, China. Simin@cueb.edu.cn.
Shuo YangTsinghua University, Beijing, 100084, China.
Boris I SokolovDepartment of Credit Theory and Financial Management, St Petersburg University, Saint Petersburg, 191034, Russia.

Funding

Foundation Fund of Soft Science of Henan Province No. 262400411267the Key Project of National Natural Science Foundation of China No.72232004
6 · The paper itself

Abstract

Optimizing the distribution of renewable energy production and developing a resilient and reliable supply network are particularly critical in the climate change era. This study examines the spatial characteristics and driving factors of the spatial network of renewable energy production from 2010 to 2022, revealing a progressively stabilized structure characterized by a core-edge pattern centered around Jiangsu, Zhejiang, Shandong, Fujian, and Hubei. It also shows that economic conditions, industrial structure, numbers of vehicles, and climate factors significantly shape the network’s dynamics, as well as the importance of provinces in networks. Moreover, the types and intensities of extreme climate events have heterogeneous impacts on various renewable energy categories. It underscores the necessity for region-specific energy transformation strategies to enhance network resilience and efficiency in response to climate variability.

Identifiers

PMID42062365
PMCPMC13263354

What OpenQuestion holds

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Registered trials

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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.