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Environmental and social disclosures dataset for Malaysian public listed companies

This article presents a comprehensive dataset extracted from published annual, sustainability and integrated reports, focusing on environmental (GRI300) and social (GRI400) disclosures, for the top 100 Malaysian public listed companies (based on Market Capitalization as of 31 December 2016). The dat...

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Autores principales: Rosman, Nor Syazwani, Ho, Wai Kee, Hashim, Hafiza Aishah, Susela Devi, K.S., Kanagasabapathy, Shenba, Singh, Jaspal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10425889/
https://www.ncbi.nlm.nih.gov/pubmed/37588616
http://dx.doi.org/10.1016/j.dib.2023.109463
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author Rosman, Nor Syazwani
Ho, Wai Kee
Hashim, Hafiza Aishah
Susela Devi, K.S.
Kanagasabapathy, Shenba
Singh, Jaspal
author_facet Rosman, Nor Syazwani
Ho, Wai Kee
Hashim, Hafiza Aishah
Susela Devi, K.S.
Kanagasabapathy, Shenba
Singh, Jaspal
author_sort Rosman, Nor Syazwani
collection PubMed
description This article presents a comprehensive dataset extracted from published annual, sustainability and integrated reports, focusing on environmental (GRI300) and social (GRI400) disclosures, for the top 100 Malaysian public listed companies (based on Market Capitalization as of 31 December 2016). The dataset covers three years (2018 to 2020) with 300 firm-year observations. Environmental and Social disclosure scores were calculated using the Global Reporting Initiative (GRI) framework and derived from the content analysis of the companies' reports accessed from respective corporate or Bursa Malaysia's websites. A binary scoring method (one for disclosure or zero, otherwise for each environmental and social disclosure item) was employed. This scoring process underwent three stages of rigorous manual verification protocol: initial check and scoring by research assistants, review by the research team, and a final review by an independent external accounting firm for validation. This dataset is valuable for academics, practitioners, and policymakers to evaluate corporate alignment with UN Sustainable Development Goal (SDG) #12, encouraging Responsible Consumption and Production, and shape strategic policies to meet Bursa compliance for enhanced corporate sustainability. It further aids in investigating associations between governance factors and other firm characteristics with environmental and social disclosures.
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spelling pubmed-104258892023-08-16 Environmental and social disclosures dataset for Malaysian public listed companies Rosman, Nor Syazwani Ho, Wai Kee Hashim, Hafiza Aishah Susela Devi, K.S. Kanagasabapathy, Shenba Singh, Jaspal Data Brief Data Article This article presents a comprehensive dataset extracted from published annual, sustainability and integrated reports, focusing on environmental (GRI300) and social (GRI400) disclosures, for the top 100 Malaysian public listed companies (based on Market Capitalization as of 31 December 2016). The dataset covers three years (2018 to 2020) with 300 firm-year observations. Environmental and Social disclosure scores were calculated using the Global Reporting Initiative (GRI) framework and derived from the content analysis of the companies' reports accessed from respective corporate or Bursa Malaysia's websites. A binary scoring method (one for disclosure or zero, otherwise for each environmental and social disclosure item) was employed. This scoring process underwent three stages of rigorous manual verification protocol: initial check and scoring by research assistants, review by the research team, and a final review by an independent external accounting firm for validation. This dataset is valuable for academics, practitioners, and policymakers to evaluate corporate alignment with UN Sustainable Development Goal (SDG) #12, encouraging Responsible Consumption and Production, and shape strategic policies to meet Bursa compliance for enhanced corporate sustainability. It further aids in investigating associations between governance factors and other firm characteristics with environmental and social disclosures. Elsevier 2023-08-01 /pmc/articles/PMC10425889/ /pubmed/37588616 http://dx.doi.org/10.1016/j.dib.2023.109463 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Rosman, Nor Syazwani
Ho, Wai Kee
Hashim, Hafiza Aishah
Susela Devi, K.S.
Kanagasabapathy, Shenba
Singh, Jaspal
Environmental and social disclosures dataset for Malaysian public listed companies
title Environmental and social disclosures dataset for Malaysian public listed companies
title_full Environmental and social disclosures dataset for Malaysian public listed companies
title_fullStr Environmental and social disclosures dataset for Malaysian public listed companies
title_full_unstemmed Environmental and social disclosures dataset for Malaysian public listed companies
title_short Environmental and social disclosures dataset for Malaysian public listed companies
title_sort environmental and social disclosures dataset for malaysian public listed companies
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10425889/
https://www.ncbi.nlm.nih.gov/pubmed/37588616
http://dx.doi.org/10.1016/j.dib.2023.109463
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