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

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.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-31
DOI
https://doi.org/10.5281/zenodo.17094841
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

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

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Rajamangala University of Technology Krungthep (TH)
Climate action
Openalex Percentile: Top 45%
Geochemistry and Geologic Mapping
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.