Evidence map›Paper›PMID 41062465›Full record

ArticleNature communications2025

Unequal power outages induced by natural disasters.

Bo Wang, Han Shi, Yueming 'Lucy' Qiu, Nana Deng, Destenie Nock, Xingchi Shen, Zhaohua Wang, Yi 'David' Wang

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Bo WangSchool of Management, Beijing Institute of Technology, Beijing, China.ORCID http://orcid.org/0000-0002-9245-1006
Han ShiSchool of Management, Beijing Institute of Technology, Beijing, China. 15510009875@163.com.
Yueming 'Lucy' QiuSchool of Public Policy, University of Maryland College Park, College Park, MA, USA. yqiu16@umd.edu.ORCID http://orcid.org/0000-0001-9233-4996
Nana DengDigital Economy and Policy Intelligentization Key Laboratory of Ministry of Industry and Information Technology, Beijing, China. dn57160@126.com.ORCID http://orcid.org/0009-0004-5302-4230
Destenie NockEngineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID http://orcid.org/0000-0003-1739-7027
Xingchi ShenSchool of International and Public Affairs, Shanghai Jiao Tong University, Shanghai, China.
Zhaohua WangDigital Economy and Policy Intelligentization Key Laboratory of Ministry of Industry and Information Technology, Beijing, China. wangzhaohua@bit.edu.cn.ORCID http://orcid.org/0000-0002-6673-4037
Yi 'David' WangDepartment of Economics, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA.ORCID http://orcid.org/0000-0002-4923-0590

Funding

China Postdoctoral Science Foundation GZC20233391, 2023M740236National Natural Science Foundation of China (National Science Foundation of China) 72243001, 72074026, 72141302, 72222017
6 · The paper itself

Abstract

Natural disasters increasingly threaten energy system reliability. However, little empirical research has examined the unequal impact of such events on power outages. Here, we employ a nationwide high-frequency point-level power outage and natural disasters dataset in China, spanning from 2019 to 2021, to empirically assess the impact of natural disasters on power outages. We focus on the poverty counties, identified by the Chinese government, based on income, infrastructure, geographical location, and other criteria. We find that these impacts of natural disasters on power outage are not distributed evenly between poverty counties (5.19% and 8.96% increase in frequency and duration, respectively) and non-poverty counties (3.80% and 5.34%). Long-term projections under SSP-RCP scenarios suggest that climate change exacerbates the disparity. This paper highlights the need for planners to evaluate disaster-induced outages in vulnerable regions to target climate funds to areas with the utmost necessity.

Identifiers

PMID41062465
PMCPMC12508443

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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.