Evidence map›Paper›PMID 42334243›Full record

ArticleRisk analysis : an official publication of the Society for Risk Analysis2026

Global Renewable Energy Infrastructure Resilience Under Climate Risks.

Jingke Hong, Yang Chen, Wen Yi, Hung-Lin Chi

Abstract read
In one paragraph

Article in Risk analysis : an official publication of the Society for Risk Analysis, 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.

Jingke HongSchool of Management Science and Real Estate, Chongqing University, Chongqing, China.
Yang ChenDepartment of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong, China.
Wen YiDepartment of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong, China.
Hung-Lin ChiDepartment of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong, China.

Funding

Centre for Infrastructure Delivery Research Funding P0055981National Natural Science Foundation of China 72574033Research Grants Council of the Hong Kong Special Administrative Region, China 15202124
6 · The paper itself

Abstract

Accelerating global climate risks increasingly threaten renewable energy infrastructure (REI). However, little evidence on heterogeneous impacts of climate risks on REI across countries, the moderating role of REI resilience, and post-disaster recovery patterns is available, despite their critical importance for guiding resilient energy transitions and informing disaster risk governance. To address these issues, we employed dynamic panel models in 215 countries and regions from 2004 to 2022. We find that (1) climate risk significantly damages global REI, with disaster frequency and institutional resilience having mitigation effects. (2) The damage follows an inverted U-shape with increasing disaster frequency and an "N" shape with increasing disaster duration. As renewable energy generation share increases, the damage intensifies and progresses through four increasingly severe stages. (3) Economic resilience exhibits a "Creative destruction" effect in developed nations and a "Build back better" recovery in poor countries. (4) Although social resilience worsens climate disaster damage globally, high disaster frequency and institutional resilience can facilitate a "Recovery to trend" in socially advanced nations. (5) REI in South America is the most affected, followed by Asia and Africa, whereas Europe is the least impacted. Wind energy is the most vulnerable, followed by bioenergy, solar, and hydropower.

Indexed as

climate risksdynamic panel modelinfrastructure resiliencerenewable energy

Identifiers

PMID42334243
PMCPMC13289525

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.