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Evaluation of Sustainability Information Disclosure Based on Entropy
Disclosure of sustainability information is important for stockholders and governments. In order to evaluate the quality of sustainability information disclosure in heavily polluting industries, the quality of the disclosure is proposed to be evaluated from completeness, adequacy, relevance, reliabi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513212/ https://www.ncbi.nlm.nih.gov/pubmed/33265778 http://dx.doi.org/10.3390/e20090689 |
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author | Li, Ming Wang, Jialin Li, Ying Xu, Yingcheng |
author_facet | Li, Ming Wang, Jialin Li, Ying Xu, Yingcheng |
author_sort | Li, Ming |
collection | PubMed |
description | Disclosure of sustainability information is important for stockholders and governments. In order to evaluate the quality of sustainability information disclosure in heavily polluting industries, the quality of the disclosure is proposed to be evaluated from completeness, adequacy, relevance, reliability, normativeness and clarity aspects. The corresponding evaluation indicator system is constructed. Due to the ambiguity and complexity of the evaluation information, the intuitionistic fuzzy sets are applied to model the linguistic ratings. Entropy is used to derive the weight of experts, the object weight and the subject weight of the indicators. which are integrated when dealing with the evaluation information. The quality of sustainability information disclosure of seven representative companies in heavily polluting industries is evaluated. The importance of indicators and ranking of the companies are derived. Based on the evaluation results, the discussion and suggestions are also provided. |
format | Online Article Text |
id | pubmed-7513212 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75132122020-11-09 Evaluation of Sustainability Information Disclosure Based on Entropy Li, Ming Wang, Jialin Li, Ying Xu, Yingcheng Entropy (Basel) Article Disclosure of sustainability information is important for stockholders and governments. In order to evaluate the quality of sustainability information disclosure in heavily polluting industries, the quality of the disclosure is proposed to be evaluated from completeness, adequacy, relevance, reliability, normativeness and clarity aspects. The corresponding evaluation indicator system is constructed. Due to the ambiguity and complexity of the evaluation information, the intuitionistic fuzzy sets are applied to model the linguistic ratings. Entropy is used to derive the weight of experts, the object weight and the subject weight of the indicators. which are integrated when dealing with the evaluation information. The quality of sustainability information disclosure of seven representative companies in heavily polluting industries is evaluated. The importance of indicators and ranking of the companies are derived. Based on the evaluation results, the discussion and suggestions are also provided. MDPI 2018-09-10 /pmc/articles/PMC7513212/ /pubmed/33265778 http://dx.doi.org/10.3390/e20090689 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Li, Ming Wang, Jialin Li, Ying Xu, Yingcheng Evaluation of Sustainability Information Disclosure Based on Entropy |
title | Evaluation of Sustainability Information Disclosure Based on Entropy |
title_full | Evaluation of Sustainability Information Disclosure Based on Entropy |
title_fullStr | Evaluation of Sustainability Information Disclosure Based on Entropy |
title_full_unstemmed | Evaluation of Sustainability Information Disclosure Based on Entropy |
title_short | Evaluation of Sustainability Information Disclosure Based on Entropy |
title_sort | evaluation of sustainability information disclosure based on entropy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513212/ https://www.ncbi.nlm.nih.gov/pubmed/33265778 http://dx.doi.org/10.3390/e20090689 |
work_keys_str_mv | AT liming evaluationofsustainabilityinformationdisclosurebasedonentropy AT wangjialin evaluationofsustainabilityinformationdisclosurebasedonentropy AT liying evaluationofsustainabilityinformationdisclosurebasedonentropy AT xuyingcheng evaluationofsustainabilityinformationdisclosurebasedonentropy |