Evidence map›Paper›PMID 37310959›Full record

ArticlePloS one2023

Financial reporting quality of ESG firms listed in China.

Mengqian Wu, Indra Abeysekera

Abstract read
In one paragraph

Article in PloS one, 2023. 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.

Mengqian WuCharles Darwin University, Darwin, Australia.
Indra AbeysekeraCharles Darwin University, Darwin, Australia.ORCID 0000-0002-1098-0562

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the growing importance of environmental protection in China, this study investigated the determinants of the financial reporting quality of environmental, social and governance (ESG) firms listed in China. The quality of financial reporting shows how informative the accounting numbers are for decision-making. Because business outlook can influence financial reporting quality, this study examined predictable, moderately predictable and unpredictable business outlooks. The study randomly selected 100 firms from the 2021 China ESG Top 500 Outstanding Enterprises published by the Sina Finance ESG Rating Centre and then analysed those firms in 2018, 2019 and 2020. It investigated determinants (financial health, governance and earnings management), controlling for the influence of known variables (firm age and firm-specific risk) on financial reporting quality measured as accruals quality and earnings smoothness. Ordinary robust least square regression was conducted. Financial health had a negative influence, but governance variables and earnings management did not affect financial reporting quality. Firm-specific risk had a positive effect, but firm age did not influence financial reporting quality. Changes in business outlook had no impact on the determinants' effect on financial reporting quality. The study found that ESG firms did not engage in earnings management and aggressively manage earnings, pointing to ethical behaviour. This is the first study to contribute to understanding the financial reporting quality of ESG firms listed in China. It examined different business outlooks to understand ESG firms' behaviour towards financial reporting quality. The findings invite replicable studies outside China to understand the contextual validity and reliability of the financial reporting quality of ESG firms, and to investigate the effect of determinants not examined in this study.

Indexed as

CommerceIncomeChinaReproducibility of Results

Identifiers

PMID37310959
PMCPMC10263329

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.