Evidence map›Paper›PMID 41576144›Full record

ArticlePloS one2026

Turning crisis into potential: Leveraging the skills of forced Ukrainian migrant women in Poland.

José Enrique Castillo-Sánchez, Paul Phumpiu Chang, Agnieszka Olter-Castillo

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

José Enrique Castillo-SánchezFaculty of Economic Sciences, University of Warsaw, Warsaw, Poland.
Paul Phumpiu ChangPontifical Catholic University of Peru, Lima, Peru.
Agnieszka Olter-CastilloFaculty of Political Science and International Studies, University of Warsaw, Warsaw, Poland.ORCID https://orcid.org/0000-0003-4235-8169

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 2022 Russian invasion of Ukraine triggered a large influx of highly skilled Ukrainian women into Poland, presenting both challenges and opportunities for their effective economic integration. This study employs network analysis on firm-level data from the Orbis database to identify 32 key industries - including food manufacturing, textiles, business services, wholesale trade, and healthcare - where Ukrainian managerial talent can enhance Poland's industry space. Guided by a conceptual framework of three mechanisms for integration - (1) Matching and Complementarities, (2) Diversification via Relatedness, and (3) Gendered Sectoral Constraints - we examine how sectoral skill alignment interacts with gendered barriers to shape integration outcomes. By examining industry specialisation patterns and gender dynamics, we assess how leveraging the expertise of these skilled migrant women can drive economic diversification, fill labour shortages, and stimulate innovation. Our findings underscore that these women can strengthen market competitiveness in industries where Poland has a specialisation advantage and contribute to economic diversification in emerging industries - provided that gender-specific barriers are addressed. This study contributes to the broader discourse on migration, gender, and industrial policy, offering an empirical framework for other host countries seeking to transform skilled refugee inflows into engines of economic growth. The findings emphasise the necessity of evidence-based policies that align skilled migration integration strategies with industrial and gender equity objectives to maximise economic benefits.

Indexed as

Transients and MigrantsEastern European PeopleFemaleHumansIndustryPolandUkraine

Identifiers

PMID41576144
PMCPMC12829958

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.