Assessing biodiversity‐related disclosure: Drivers, outcomes, and financial impacts

Abstract Biological diversity—the complex tapestry of life and ecosystems—is facing an urgent global crisis, with increasing extinction rates and the loss of variety on all levels of biodiversity from genetic to ecosystem diversity. This study analyzes 2843 environmental, social, and governance (ESG) reports by companies from 43 countries, focusing on Global Reporting Initiative (GRI) standards, and examines the quality of biodiversity‐related disclosure (BRD) from 2010 to 2019. The study achieves three objectives. First, it provides a global assessment of the quality of BRD, which declines after 2015 despite increased recognition of the importance of biodiversity. Second, it identifies the influence of climate‐related risks and management incentives as internal determinants of BRD quality. Third, in examining the consequences of BRD, it highlights the impact of BRD quality on investor risk perception and stakeholder perceptions (i.e., corporate reputation). Improved BRD quality increases perceived risk. For companies with biodiversity impacts, however, the effect is the opposite, suggesting that investors do not fully understand the risks of biodiversity dependency. These findings suggest the need for equal recognition of biodiversity alongside climate change in reporting standards and policies.

Authors

Institutions

Publication Details

Journal
Journal of Industrial Ecology
Published
2024-12-31
DOI
https://doi.org/10.1111/jiec.13596
Citations
14
Primary Topic
Corporate Social Responsibility Reporting
Type
article
Field-Weighted Citation Impact
7.76
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing biodiversity‐related disclosure: Drivers, outcomes, and financial impacts

Anna R. Rudolf, Kerstin Lopatta, Daniel Buchholz, Alexander Bassen
14 citations
Journal of Industrial Ecology
Corporate Social Responsibility Reporting
7.76
article

Assessing biodiversity‐related disclosure: Drivers, outcomes, and financial impacts

Anna R. Rudolf, Kerstin Lopatta, Daniel Buchholz, Alexander Bassen
article en
14 citations

Abstract

Abstract Biological diversity—the complex tapestry of life and ecosystems—is facing an urgent global crisis, with increasing extinction rates and the loss of variety on all levels of biodiversity from genetic to ecosystem diversity. This study analyzes 2843 environmental, social, and governance (ESG) reports by companies from 43 countries, focusing on Global Reporting Initiative (GRI) standards, and examines the quality of biodiversity‐related disclosure (BRD) from 2010 to 2019. The study achieves three objectives. First, it provides a global assessment of the quality of BRD, which declines after 2015 despite increased recognition of the importance of biodiversity. Second, it identifies the influence of climate‐related risks and management incentives as internal determinants of BRD quality. Third, in examining the consequences of BRD, it highlights the impact of BRD quality on investor risk perception and stakeholder perceptions (i.e., corporate reputation). Improved BRD quality increases perceived risk. For companies with biodiversity impacts, however, the effect is the opposite, suggesting that investors do not fully understand the risks of biodiversity dependency. These findings suggest the need for equal recognition of biodiversity alongside climate change in reporting standards and policies.

Journal of Industrial EcologyVol. 29(1)
Universität Hamburg (DE), City University of Hong Kong (HK)
Climate action
Openalex Percentile: Top 3%
Corporate Social Responsibility Reporting
7.76
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.