Scenario analysis and climate change: a literature review via text analytics

Aversa, Dario

doi:10.1108/bfj-08-2022-0691

Cited by 3 publications

(1 citation statement)

References 89 publications

(127 reference statements)

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“…On the more general concept of climate change and its direct impact on companies, Aversa (2024) has applied a scenario analysis to provide companies and stakeholders in the agri-food sector with forward-looking measurers and narratives on the current economy. The purpose of the articles is to develop an independent, wide and rigorous literature review on the topics of scenario analysis and climate change.…”

Section: Overview Of the Papers Included In The Special Issuementioning

confidence: 99%

Guest editorial: Circular economy in the agri-food, tourism and hospitality industries in the post-pandemic era

Amicarelli,

Bux,

Fiore

2024

BFJ

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Section: Overview Of the Papers Included In The Special Issuementioning

confidence: 99%

Guest editorial: Circular economy in the agri-food, tourism and hospitality industries in the post-pandemic era

Amicarelli,

Bux,

Fiore

2024

BFJ

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Disclosures of banks’ sustainability reports, climate change and central banks: An empirical analysis with unstructured data

Aversa

2024

RGC

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Climate change will impact the economy in the long term but also in the medium run potentially affecting financial stability and the whole economic system (Nyambuu & Semmler, 2023). Some studies suggested that climate change may hit financial actors even if there are few studies related to the role of banks’ sustainability disclosure and central banks’ mandates. This paper examines the sustainability reports disclosures of the banks listed on the FTSE Italia All-Share Italian Stock Exchange for the year 2021–2020. It applies five kinds of multivariate techniques on unstructured data using Iramuteq (www.iramuteq.org) and SAS Viya (www.sas.com). The article tries to assess how and whether banks are disclosing transition and physical risk, and how and whether they conducted scenario analysis through the lens of the Task Force on Climate-related Financial Disclosures (TCFD) framework. Even though banks provided environmental, social, and governance (ESG) disclosure, they paid scant attention to furnishing climate change information to market and central banks, and to prioritize their complying with international frameworks. The article addresses the main research gap in the literature review and focuses on the role of disclosures and central banks’ mandates, sustainability data gap and solutions through machine learning, analysis of deep uncertainty for monetary policy, and the use of scenario analysis when it is impossible to apply deterministic or probabilistic approaches and text mining for central banks in the context of unstructured data.

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Identifying Key Issues in Climate Change Litigation: A Machine Learning Text Analytic Approach

Raghupathi,

Molitor,

Raghupathi

et al. 2023

Sustainability

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As climate change, environmental, social, and governance (ESG), along with sustainability, become increasingly crucial for businesses and society, there is a noticeable scarcity of information and transparency regarding corporate practices. Often, government agency enforcement actions lead to litigation and are ultimately resolved by court decisions. Moreover, in instances when there is perceived inadequacy in government enforcement, citizens frequently turn to the courts for preventive judgments against businesses or agencies. In an effort to shed light on the multifaceted aspects of climate change, we adopted a novel, exploratory approach to analyze climate change-related litigation cases. Utilizing a blend of machine learning-based text analytics, we have extracted key insights from individual case narratives. Our analysis encompassed over four hundred cases from the Westlaw database through various keyword searches. The emergent topics from our case dataset revolved around four critical environmental themes: forest, land, water, and air emissions. Our findings provide insight into the nature and dimensions of climate change and also carry significant policy implications, laying the groundwork for future research in this domain.

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Scenario analysis and climate change: a literature review via text analytics

Cited by 3 publications

References 89 publications

Guest editorial: Circular economy in the agri-food, tourism and hospitality industries in the post-pandemic era

Guest editorial: Circular economy in the agri-food, tourism and hospitality industries in the post-pandemic era

Disclosures of banks’ sustainability reports, climate change and central banks: An empirical analysis with unstructured data

Identifying Key Issues in Climate Change Litigation: A Machine Learning Text Analytic Approach

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