Evidence map›Paper›PMID 38909070›Full record

ArticleNature communications2024

Local Network Interaction as a Mechanism for Wealth Inequality.

Shao-Tzu Yu, Peng Wang, Chodziwadziwa W Kabudula, Dickman Gareta, Guy Harling, Brian Houle

Erratum issuedAbstract 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. An erratum has been issued. 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

5 · Who and what money

Authors and funding

6 authors.

Shao-Tzu YuOffice of Population Research, Princeton University, Princeton, NJ, USA. shaotzuyu@princeton.edu.ORCID http://orcid.org/0000-0001-9440-1929
Peng WangCentre for Transformative Innovation, Swinburne University of Technology, Melbourne, Australia.ORCID http://orcid.org/0000-0002-7701-561X
Chodziwadziwa W KabudulaMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faulty of Health Science, University of the Witwatersrand, Johannesburg, South Africa.
Dickman GaretaAfrica Health Research Institute, Durban, South Africa.ORCID http://orcid.org/0000-0002-4004-5655
Guy HarlingMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faulty of Health Science, University of the Witwatersrand, Johannesburg, South Africa.ORCID http://orcid.org/0000-0001-6604-491X
Brian HouleSchool of Demography, The Australian National University, Canberra, ACT, Australia.ORCID http://orcid.org/0000-0003-2157-3118

Funding

Wellcome Trust
6 · The paper itself

Abstract

Given limited institutional resources, low-income populations often rely on social networks to improve their socioeconomic outcomes. However, it remains in question whether small-scale social interactions could affect large-scale economic inequalities in under-resourced contexts. Here, we leverage population-level data from one of the poorest South African settings to construct a large-scale, geographically defined, inter-household social network. Using a multilevel network model, we show that having social ties in close geographic proximity is associated with stable household asset conditions, while geographically distant ties correlate to changes in asset allocation. Notably, we find that localised network interactions are associated with an increase in wealth inequality at the regional level, demonstrating how macro-level inequality may arise from micro-level social processes. Our findings highlight the importance of understanding complex social connections underpinning inter-household resource dynamics, and raise the potential of large-scale social assistance programs to reduce disparities in resource-ownership by accounting for local social constraints.

Indexed as

Social NetworkingSocioeconomic FactorsFamily CharacteristicsFemaleHumansIncomeMalePovertySocial InteractionSocial SupportSouth Africa

Identifiers

PMID38909070
PMCPMC11193797

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.