Exploring Nature: Datasets and Models for Analyzing Nature-Related Disclosures

10 Pages Posted: 27 Jan 2024

See all articles by Tobias Schimanski

Tobias Schimanski

University of Zurich

Chiara Colesanti Senni

University of Zurich - Department of Finance

Glen Gostlow

University of Zurich - Department Finance

Jingwei Ni

ETH Zurich

Tingyu Yu

University of Zurich - Department Finance

Markus Leippold

University of Zurich; Swiss Finance Institute

Date Written: December 15, 2023

Abstract

Nature is an amorphous concept. Yet, it is essential for the planet's well-being to understand how the economy interacts with it. To address the growing demand for information on corporate nature disclosure, we provide datasets and classifiers to detect nature communication by companies. We ground our approach in the guidelines of the Taskforce on Nature-related Financial Disclosures (TNFD). Particularly, we focus on the specific dimensions of water, forest, and biodiversity. For each dimension, we create an expert-annotated dataset with 2,200 text samples and train classifier models. Furthermore, we show that nature communication is more prevalent in hotspot areas and directly effected industries like agriculture and utilities. Our approach is the first to respond to calls to assess corporate nature communication on a large scale.

Keywords: Nature-related risks, TNFD, Natural Language Processing, Disclosure

Suggested Citation

Schimanski, Tobias and Colesanti Senni, Chiara and Gostlow, Glen and Ni, Jingwei and Yu, Tingyu and Leippold, Markus, Exploring Nature: Datasets and Models for Analyzing Nature-Related Disclosures (December 15, 2023). Available at SSRN: https://ssrn.com/abstract=4665715 or http://dx.doi.org/10.2139/ssrn.4665715

Tobias Schimanski

University of Zurich ( email )

Schönberggasse 1
Zürich, 8001
Switzerland

Chiara Colesanti Senni

University of Zurich - Department of Finance ( email )

Plattenstr 32
Zurich, 8032
Switzerland

Glen Gostlow

University of Zurich - Department Finance ( email )

Schönberggasse 1
Zürich, 8001
Switzerland

Jingwei Ni

ETH Zurich ( email )

Tingyu Yu

University of Zurich - Department Finance ( email )

Schönberggasse 1
Zürich, 8001
Switzerland

Markus Leippold (Contact Author)

University of Zurich ( email )

Rämistrasse 71
Zürich, CH-8006
Switzerland

Swiss Finance Institute ( email )

c/o University of Geneva
40, Bd du Pont-d'Arve
CH-1211 Geneva 4
Switzerland

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