Evidence map›Paper›PMID 37599826›Full record

ArticleiScience2023

Large-scale renewable energy brings regionally disproportional air quality and health co-benefits in China.

Yang Xie, Meng Xu, Jinlu Pu, Yujie Pan, Xiaorui Liu, Yanxu Zhang, Shasha Xu

Abstract read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Environmental Quality, Renewable Energy, and Life Expectancy in Gulf Cooperation Council Countries.International journal of environmental research and public health · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. 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

7 authors.

Yang XieSchool of Economics and Management, Beihang University, Beijing 100191, China.
Meng XuSchool of Management, Wuhan Institute of Technology, Wuhan 430205, China.
Jinlu PuSchool of Economics and Management, Beihang University, Beijing 100191, China.
Yujie PanCollege of Environmental Science and Engineering, Peking University, Beijing 100871, China.
Xiaorui LiuCollege of Environmental Science and Engineering, Peking University, Beijing 100871, China.
Yanxu ZhangSchool of Atmospheric Sciences, Nanjing University, Nanjing, Jiangsu 210023, China.
Shasha XuCollege of Environmental Science and Engineering, Peking University, Beijing 100871, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing renewable energy could jointly reduce air pollution, greenhouse gas emissions, and bring air pollution-related health co-benefits. However, the temporal and sub-national distributions of investment costs and human health co-benefits from renewable energy deployment remain unclear. To investigate this gap, we linked multiple models for a more comprehensive assessment of the economic-environmental-health co-benefits of renewable energy development in China. The results show that developing renewable energy can avoid 0.6 million premature mortalities, 151 million morbidities, and 111 million work-loss days in 2050. Meanwhile, the human health and economic co-benefits vary substantially across regions in China. Renewable energy can undoubtedly bring health and economic co-benefits. Nevertheless, the economic benefits lag considerably behind the high initial investment cost, first negative in 2030 (-0.6 trillion Yuan) and then positive in 2050 (2.9 trillion Yuan). Hence, renewable energy deployment strategy must be carefully designed considering the regional disparities.

Indexed as

Interdisciplinary application studiesSociology

Identifiers

PMID37599826
PMCPMC10432202

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.