Evidence map›Paper›PMID 40768432›Full record

ArticlePloS one2025

Research on the resilience of renewable energy in rural areas-Based on the data from Shandong Province.

Zihan Ma

Abstract read
In one paragraph

Article in PloS one, 2025. 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

1 author.

Zihan MaSchool of Economics and Management, North China Electric Power University, Baoding, China.ORCID https://orcid.org/0009-0004-5283-1276

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China's rural energy system faces three challenges: high structural carbonization, low energy utilization efficiency and insufficient supply stability. These systemic contradictions seriously hinder the coordinated promotion of the "dual carbon" strategy and the rural revitalization process. This study takes 16 cities and cities in Shandong Province as the object and combines GIS technology to construct a biomass and solar energy resource evaluation model. The amount of agricultural biomass resources is calculated through the grass valley ratio method. Its resource potential and convertible power generation are quantified, and the "Four Quadrant Model for Renewable Energy Abundance" is introduced to divide regional types. Use spatial analysis to reveal the geographical heterogeneity of resource distribution and explore differentiated low-carbon transformation paths to enhance energy resilience. The study found that the rural renewable energy endowment in Shandong Province showed significant regional differences and proposed four types of development paths: The dual-resource areas jointly develop agricultural and light complementarity and straw power generation, the photovoltaic advantage zone explores energy storage and hydrogen production, the biomass-led areas strengthen cogeneration, and the resource-scarce areas implement green electricity allocation and energy efficiency upgrades. The conclusion shows that multi-energy coordination can improve energy supply stability through space-time complementarity and risk dilution, enhance energy supply resilience, and provide a scientific paradigm for the low-carbon transformation of high-carbon provinces.

Indexed as

Renewable EnergyAgricultureBiomassChinaRural PopulationSolar Energy

Identifiers

PMID40768432
PMCPMC12327622

What OpenQuestion holds

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LicenceCC BY
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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.