Evidence map›Paper›PMID 34682607›Full record

ArticleInternational journal of environmental research and public health2021

Environmental, Social, Governance Risk and Corporate Sustainable Growth Nexus: Quantile Regression Approach.

Xiaodong Teng, Yanzhi Wang, Aiguo Wang, Bao-Guang Chang, Kun-Shan Wu

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Xiaodong TengSchool of Accountancy, Shandong University of Finance and Economics, Jinan 250014, China.
Yanzhi WangSchool of Accountancy, Shandong University of Finance and Economics, Jinan 250014, China.
Aiguo WangSchool of Accountancy, Shandong University of Finance and Economics, Jinan 250014, China.
Bao-Guang ChangDepartment of Accounting, Tamkang University, New Taipei City 251301, Taiwan.
Kun-Shan WuDepartment of Business Administration, Tamkang University, New Taipei City 251301, Taiwan.ORCID 0000-0001-9550-8840

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite a huge body of literature revealing that the effect of environmental, social and governance (ESG) scores on a firms' financial performance and value, it lacks the empirical research on the nexus between corporate sustainable growth and ESG risk in the existing research. The paper aims to examine the nexus between ESG risk and corporate sustainable growth. This study utilizes a quantile regression approach to explore how ESG risk affects corporate sustainable growth (proxied by sustainable growth rate, SGR). The ordinary least squares estimation results confirm that ESG significantly negatively affects corporate sustainable growth. The quantile regression results reveal ESG risk has a significant negative effect on corporate sustainable growth in the upper quantiles of SGR, but not in the lower and median quantiles. The results show that the impact of ESG risk on the corporate sustainable growth is asymmetric and affected by the distribution of SGR. Furthermore, the research results identify that the negative relationship between ESG risk and corporate sustainable growth is particularly apparent for firms in environmentally sensitive industries. This study greatly contributes to existing literature, as with this detailed knowledge, managers can make decisions based on these associations and identify the most lucrative course of action.

Indexed as

OrganizationsSustainable GrowthEmpirical ResearchIndustrycorporate sustainable growthESGquantile regressionsustainable growth rate

Identifiers

PMID34682607
PMCPMC8535892

What OpenQuestion holds

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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.