Evidence map›Paper›PMID 42127011›Full record

ArticlePloS one2026

Unveiling the shadow economy in emerging markets.

Quynh Nga Duong, Nguyen Thuy Khue Tran

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

2 authors.

Quynh Nga DuongDepartment of Air Transport Economics, Vietnam Aviation Academy, Hochiminh City, Vietnam.ORCID https://orcid.org/0000-0002-1392-9201
Nguyen Thuy Khue TranDeparment of Business Administration, Vietnam Aviation Academy, Hochiminh City, Vietnam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examines the direct role of the shadow economy in economic growth and its indirect roles through interaction with tax burden, institutional environment, foreign direct investment, trade openness, government consumption, and population growth. Although shadow economy has been comprehensively studied in the literature, both joint and environment-specific effects for emerging economies are not well documented. This research fills this void by integrating several dimensions of structure into one Bayesian MCMC model. The Bayesian approach is used because it is powerful in capturing parameter uncertainty and interaction that is challenging to model under limited data. Empirical evidence from a balanced panel of developing countries indicates that the shadow economy reduces per capita GDP, but such adverse impacts are dampened under strong institutions quality, higher foreign direct investment, and higher trade openness. Conversely, higher population growth and over government consumption reinforce its adverse impacts. The findings present a new, interaction-oriented account of shadow economy and contend that institutional change and good fiscal policy are essential in diminishing informality and promoting inclusive and sustainable growth.

Indexed as

Economic DevelopmentBayes TheoremCommerceDeveloping CountriesHumansInvestmentsModels, EconomicPopulation Growth

Identifiers

PMID42127011
PMCPMC13170881

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.