Evidence map›Paper›PMID 35100316›Full record

ArticlePloS one2022

The effect of different government subsidies on total-factor productivity: Evidence from private listed manufacturing enterprises in China.

Dongmei Wang, Yangyang Sun

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Dongmei WangSchool of Economics, Zhejiang Gongshang University, Hangzhou, China.
Yangyang SunFaculty of Business Administration, School of Business Administration, Southwestern University of Finance and Economics, Chengdu, China.ORCID 0000-0003-0742-1417

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Private enterprises play an increasingly important role in China. They can improve the total-factor productivity (TFP) and help transform and upgrade industrial structures. This study uses data for private listed manufacturing companies from 2009 to 2017 to examine the effects of different types of subsidies on TFP. We also analyze the heterogeneity and specific mechanism of subsidy effects. We find that R&D subsidies and production subsidies positively affect private enterprises' TFP. Moreover, R&D subsidies and production subsidies lagged by one period can also significantly increase private enterprises' TFP. In terms of industry, R&D subsidies have more obvious effects on technology-intensive industries, while production subsidies have more significant effects on labor-intensive and capital-intensive industries. In terms of scale, R&D subsidies' effects on the TFP of medium-sized enterprises are the largest, while production subsidies have the greatest effect on small enterprises' TFP. Government subsidies increase private enterprises' TFP through two mechanisms: improving technological innovation capability and alleviating financing constraints. Our results suggest that governments should formulate different subsidy policies according to industry and enterprise scale.

Indexed as

Financing, GovernmentIndustryPolicyPrivate SectorChinaCommerceGovernment

Identifiers

PMID35100316
PMCPMC8803163

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.