Evidence map›Paper›PMID 42266403›Full record

ArticleFrontiers in sociology2026

Post-material values and brain drain: how value transformation shapes the migration mindset among highly educated South Asians?

Samitha Udayanga

Abstract read
In one paragraph

Article in Frontiers in sociology, 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

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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

1 author.

Samitha UdayangaBremen International Graduate School of Social Sciences, University of Bremen, Bremen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While economic reasons are predominantly considered as drivers of brain drain in the existing literature, the present study demonstrates that migration decisions are substantially shaped by structural misalignments between individuals' value orientations and the institutional, cultural, and social environments of their home countries. Drawing on 25 in-depth interviews and a focus group discussion, the study integrates Bourdieu's theorisations of habitus, field, and taste with Inglehart's theory of post-material value shift to understand how higher education cultivates durable dispositions oriented toward personal autonomy, quality of life, social justice, and self-actualisation that home-country context structurally fails to accommodate. The analysis reveals that highly educated (potential) migrants constitute a latent social class, defined not by a conscious collective identity but by the objective homology of their capital compositions, shared habituses, and convergent migration trajectories. This latent class formation helps explain not only why migration persists beyond economic motivation, but also why diaspora engagement and transnational knowledge transfer remain limited among these immigrants: when migration resolves a deep incompatibility between habitus and social context rather than a temporary material deficit, the motivational conditions for sustained home-country engagement are fundamentally weakened. Existing return and diaspora policies in South Asia have largely failed in this context, because they often prioritise financial incentives while disregarding the value transformations that originally produced emigration. Therefore, the findings call for a reorientation of policy frameworks toward addressing the structural field conditions, including institutional trust, professional recognition, political openness, and quality-of-life infrastructure, that drive value-motivated human capital flight.

Indexed as

brain drainhuman capital flightimmigrant integrationlatent classpost-material valuesSouth Asians

Identifiers

PMID42266403
PMCPMC13243007

What OpenQuestion holds

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LicenceCC BY
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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.