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

Author

Listed:
  • Tobias Schimanski
  • Chiara Colesanti Senni
  • Glen Gostlow
  • Jingwei Ni
  • Tingyu Yu
  • Markus Leippold

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.

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  • Tobias Schimanski & Chiara Colesanti Senni & Glen Gostlow & Jingwei Ni & Tingyu Yu & Markus Leippold, 2023. "Exploring Nature: Datasets and Models for Analyzing Nature-Related Disclosures," Papers 2312.17337, arXiv.org.
    • Handle: RePEc:arx:papers:2312.17337
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    References listed on IDEAS

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    1. Alexandre Garel & Arthur Romec & Zacharias Sautner & Alexander F. Wagner, 2023. "Do Investors Care About Biodiversity?," Swiss Finance Institute Research Paper Series 23-24, Swiss Finance Institute.
    2. G. Andrew Karolyi & John Tobin‐de la Puente, 2023. "Biodiversity finance: A call for research into financing nature," Financial Management, Financial Management Association International, vol. 52(2), pages 231-251, June.
    3. repec:osf:socarx:n7pbj_v1 is not listed on IDEAS
    4. Bingler, Julia Anna & Kraus, Mathias & Leippold, Markus & Webersinke, Nicolas, 2022. "Cheap talk and cherry-picking: What ClimateBert has to say on corporate climate risk disclosures," Finance Research Letters, Elsevier, vol. 47(PB).
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