Evidence map›Paper›PMID 42672049›Full record

ArticlePloS one2026

Mapping territorial labour-related well-being inequalities in Ecuador: A multivariate geometric approach.

Bill Jonathan Serrano Orellana

Abstract read
In one paragraph

Article in PloS one, 2026. 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

1 author.

Bill Jonathan Serrano OrellanaFaculty of Business Sciences, Universidad Técnica de Machala, Ecuador.ORCID https://orcid.org/0000-0002-9101-4541

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article examines the territorial structure and post-pandemic evolution of labour-related well-being inequalities across Ecuador's 24 provinces between 2021 and 2024. Using official provincial data from the National Employment, Unemployment and Underemployment Survey (ENEMDU), we constructed an integrated set of eleven indicators capturing employment quantity, job quality, labour income, monetary and multidimensional poverty, and youth labour market exclusion (NEET population aged 15-24). Methodologically, the study adopts a geometric multivariate approach that combines annual HJ-biplots with Partial Triadic Analysis (PTA). This approach allows provinces and indicators to be represented jointly, annual labour-well-being structures to be compared, and a compromise configuration to be extracted that summarises the average post-pandemic profile of the Ecuadorian labour market. The results reveal a stable territorial gradient of labour well-being driven primarily by job quality and income rather than by open unemployment rates. Three persistent provincial clusters emerge: an Amazonian core characterised by cumulative disadvantages in multidimensional poverty, underemployment, and low labour income; an Andean-coastal group with higher levels of formal employment, adequate jobs, and earnings; and an intermediate set of provinces with fragile labour profiles marked by underemployment and youth vulnerability. The PTA confirms a high degree of similarity across annual structures and slow-moving adjustment dynamics, with no evidence of territorial convergence during the period analysed. In addition, the youth NEET indicator defines a distinct axis of labour-related vulnerability, closely associated with unemployment and underemployment but only partially aligned with poverty measures. Overall, the findings highlight the importance of incorporating employment quality and territorial perspectives into assessments of social well-being and underscore the need for labour policies with an explicit territorial and generational focus to address persistent labour-well-being disparities in developing economies.

Indexed as

EmploymentEcuadorHumansIncomeMultivariate AnalysisPovertySocioeconomic Disparities in HealthSocioeconomic FactorsUnemployment

Identifiers

PMID42672049
PMCPMC13529017

What OpenQuestion holds

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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.