Evidence map›Paper›PMID 41411335›Full record

ArticlePloS one2025

Do government subsidies lead to TFP losses? A perspective on the formation of zombie firms.

Ruying Chen, Danyu Liu, Lanyu Wu, Donghua Yu

Abstract read
In one paragraph

Article in PloS one, 2025. 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

4 authors.

Ruying ChenSchool of Business, Linyi University, Linyi, Shandong, China.ORCID https://orcid.org/0000-0001-7925-5097
Danyu LiuSchool of Digital Economy and Management, Guangxi University of Foreign Languages, Nanning, Guangxi, China.
Lanyu WuSchool of Business, Linyi University, Linyi, Shandong, China.
Donghua YuSchool of Economics, Shandong University, Ji'nan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examines how government subsidies affect aggregate total factor productivity (TFP) through the formation of zombie firms in China. Using panel data of A-share listed firms from 2007 to 2022 and industry-province-year aggregates, we analyze both firm-level dynamics and aggregate productivity outcomes. The results show that subsidies reduce the exit probability of low-productivity firms and significantly increase the likelihood of zombie firm formation. Although the prevalence of zombie firms fluctuates over time, it remains a persistent challenge. At the aggregate level, subsidies exert a negative impact on TFP, with zombie firm prevalence serving as a key mediating channel. The mediating effect is particularly strong in industries with a higher share of state-owned enterprises (SOEs), whereas regional differences stem from distinct mechanisms: subsidies more strongly induce zombie formation in Central-Western China, while the productivity drag of zombies is larger in the more competitive Eastern region. These findings highlight the unintended productivity costs of subsidy policies and underscore the need for more targeted and efficiency-oriented intervention.

Indexed as

Financing, GovernmentIndustryChinaGovernmentHumans

Identifiers

PMID41411335
PMCPMC12714253

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.