Evidence map›Paper›PMID 36901240›Full record

ArticleInternational journal of environmental research and public health2023

Can Environmental Information Disclosure Enhance Firm Value?-An Analysis Based on Textual Characteristics of Annual Reports.

Rongjiang Cai, Tao Lv, Cheng Wang, Nana Liu

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Article in International journal of environmental research and public health, 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

4 authors.

Rongjiang CaiSchool of Economics and Management, Ningbo University of Technology, Ningbo 315211, China.
Tao LvSchool of Management, China University of Mining and Technology, Xuzhou 221116, China.
Cheng WangSchool of Management, China University of Mining and Technology, Xuzhou 221116, China.ORCID 0000-0002-6879-886X
Nana LiuSchool of Economics and Management, Nanjing Institute of Technology, Nanjing 210000, China.

Funding

The Fundamental Research Funds for the Proposed cultivation project for Ningbo Small Business Growth Research Base 2020XQY006The Fundamental Research Funds supported this work for the Project of the Zhejiang Federation of Social Sciences 2022N88
6 · The paper itself

Abstract

This study examines the impact of environmental information disclosure quality on firm value for Chinese listed companies in heavily polluting industries from 2010 to 2021. By controlling for the level of leverage, growth, and corporate governance, a fixed effects model is constructed to test this relationship. Furthermore, this study analyzes the moderating effects of annual report text features, such as length, similarity, and readability, on the relationship between environmental information disclosure and firm value and the heterogeneous impact of firm ownership on this relationship. The main findings of this study are as follows: There is a positive correlation between the level of environmental information disclosure and firm value for Chinese listed companies in heavily polluting industries. Annual report text length and readability positively moderate the relationship between environmental information disclosure and firm value. Annual report text similarity negatively moderates the relationship between environmental information disclosure and firm value performance. Compared with state-owned enterprises, the impact of environmental information disclosure quality on the firm value of no-state-owned enterprises is more significant.

Indexed as

DisclosureIndustryChinaOrganizationsOwnershipannual report text featuresenvironmental information disclosurefirm value

Identifiers

PMID36901240
PMCPMC10001672

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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.