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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Climate Change Impact Assessment Model on Corporate Financial Performance: A Data-Based and Analytical Approach

Authors: Supaphorn Akkapin; Tubagus Achmad Doradjat;

Climate Change Impact Assessment Model on Corporate Financial Performance: A Data-Based and Analytical Approach

Abstract

Climate change has a significant impact on corporate financial performance worldwide. This study develops a model for assessing the financial impacts of climate change on corporate performance using a data-driven and analytical approach. The model integrates both physical and transitional risks caused by climate change and analyzes their effects on corporate financial metrics, such as profitability, operational costs, and market value. Through regression analysis, climate change scenarios, and Monte Carlo simulations, this research demonstrates that companies failing to anticipate climate change face substantial financial risks, while companies that adapt, such as those investing in low-carbon technologies, can reap long-term benefits. This study provides valuable insights for companies to manage climate risks and capitalize on opportunities arising from the transition to a low-carbon economy. Thus, it offers an approach that can help businesses plan and take strategic actions to mitigate the financial impacts of climate change.

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citations
The total number of citations received by all articles of the researcher of interest.
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green