Evidence map›Paper›PMID 38914536›Full record

ArticleNature communications2024

Safeguarding China's long-term sustainability against systemic disruptors.

Ke Li, Lei Gao, Zhaoxia Guo, Yucheng Dong, Enayat A Moallemi, Gang Kou, Meiqian Chen, Wenhao Lin, Qi Liu, Michael Obersteiner and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

12 authors.

Ke Li *Business School, Sichuan University, Chengdu, 610065, China.ORCID http://orcid.org/0000-0002-6108-6819
Lei Gao *Commonwealth Scientific and Industrial Research Organisation (CSIRO), Waite Campus, Adelaide, South Australia, 5064, Australia.ORCID http://orcid.org/0000-0003-4272-9417
Zhaoxia Guo *Business School, Sichuan University, Chengdu, 610065, China.ORCID http://orcid.org/0000-0002-5232-2023
Yucheng DongBusiness School, Sichuan University, Chengdu, 610065, China. ycdong@scu.edu.cn.ORCID http://orcid.org/0000-0002-0028-6796
Enayat A MoallemiCommonwealth Scientific and Industrial Research Organisation (CSIRO), Black Mountain, ACT, Australia.ORCID http://orcid.org/0000-0001-8346-4043
Gang KouXiangjiang Laboratory, Changsha, 410205, China.
Meiqian ChenBusiness School, Sichuan University, Chengdu, 610065, China.ORCID http://orcid.org/0000-0002-1122-3512
Wenhao LinBusiness School, Sichuan University, Chengdu, 610065, China.
Qi LiuBusiness School, Sichuan University, Chengdu, 610065, China.
Michael ObersteinerInternational Institute for Applied Systems Analysis, Laxenburg, 2361, Austria.ORCID http://orcid.org/0000-0001-6981-2769
Matteo PederciniMillennium Institute, Washington, DC, USA.
Brett A BryanCentre for Integrative Ecology, School of Life and Environmental Sciences, Deakin University, Melbourne, Australia.ORCID http://orcid.org/0000-0003-4834-5641

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62350062National Natural Science Foundation of China (National Science Foundation of China) 71910107002National Natural Science Foundation of China (National Science Foundation of China) 72271171Sichuan University (SCU) SKSYL2021-02
6 · The paper itself

Abstract

China's long-term sustainability faces socioeconomic and environmental uncertainties. We identify five key systemic risk drivers, called disruptors, which could push China into a polycrisis: pandemic disease, ageing and shrinking population, deglobalization, climate change, and biodiversity loss. Using an integrated simulation model, we quantify the effects of these disruptors on the country's long-term sustainability framed by 17 Sustainable Development Goals (SDGs). Here we show that ageing and shrinking population, and climate change would be the two most influential disruptors on China's long-term sustainability. The compound effects of all disruptors could result in up to 2.1 and 7.0 points decline in the China's SDG score by 2030 and 2050, compared to the baseline with no disruptors and no additional sustainability policies. However, an integrated policy portfolio involving investment in education, healthcare, energy transition, water-use efficiency, ecological conservation and restoration could promote resilience against the compound effects and significantly improve China's long-term sustainability.

Indexed as

Climate ChangeConservation of Natural ResourcesSustainable DevelopmentAgingBiodiversityChinaCOVID-19Humans

Identifiers

PMID38914536
PMCPMC11196269

What OpenQuestion holds

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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.