Evidence map›Paper›PMID 37595006›Full record

ArticlePloS one2023

Structural-demographic analysis of the Qing Dynasty (1644-1912) collapse in China.

Georg Orlandi, Daniel Hoyer, Hongjun Zhao, James S Bennett, Majid Benam, Kathryn Kohn, Peter Turchin

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
7.2field-weighted citation impact, top 3% of its field
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

2 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Navigating polycrisis: long-run socio-cultural factors shape response to changing climate.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    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 at 7 institutions in 6 countries.

Georg OrlandiSchool of Letters, Osaka University, Toyonaka, Japan.ORCID 0000-0002-5756-4769
Daniel HoyerSeshat: Global History Databank, Evolution Institute, San Antonio, Florida, United States of America.ORCID 0000-0003-2675-257X
Hongjun ZhaoSchool of Business and Finance, Shanghai Normal University, Economics, Shanghai, People's Republic of China.ORCID 0000-0002-9112-7538
James S BennettUniversity of Washington, Seattle, Washington, DC, United States of America.
Majid BenamComplexity Science Hub Vienna, Austria.
Kathryn KohnFederation of American Scientists, Washington, DC, United States of America.
Peter TurchinComplexity Science Hub Vienna, Austria.
Complexity Science Hub · ATFederation of American Scientists · USGeorge Brown College · CAShanghai Normal University · CNThe University of Osaka · JPUniversity of Connecticut · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper analyzes the collapse of the Qing dynasty (1644-1912) through the lens of the Structural Demographic Theory (SDT), a general framework for understanding the drivers of socio-political instability in state-level societies. Although a number of competing ideas for the collapse have been proposed, none provide a comprehensive explanation that incorporates the interaction of all the multiple drivers involved. We argue that the four-fold population explosion peaking in the 19th century, the growing competition for a stagnant number of elite positions, and increasing state fiscal stress combined to produce an increasingly disgruntled populace and elite, leading to significant internal rebellions. We find that while neither the ecological disasters nor the foreign incursions during the 19th century were sufficient on their own to bring down the Qing, when coupled with the rising internal socio-political stresses, they produced a rapid succession of triggering events that culminated in the Qing collapse.

Indexed as

DisastersLens, CrystallineShockChinaDemographyHumansInternationality

Identifiers

PMID37595006
PMCPMC10437944
OpenAlexW4385971767

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.