Supporting material for "Assessing the Climate Transition Value at Risk in the Colombian Food Sector".

The repository provides the numerical values and source code used to generate the dataset for the study:

Pérez-Pérez, J.F.; Gómez, P.I.; Bonet, I.; Sánchez-Pinzón, M.S.; Caraffini, F.; Lochmuller, C. Assessing Climate Transition Risks in the Colombian Processed Food Sector: A Fuzzy Logic and Multi-Criteria Decision-Making Approach. Mathematics, 2024, 12, 2713. https://doi.org/10.3390/math12172713 

Please acknowledge the article when using this material.

@Article{math12172713,AUTHOR = {Pérez-Pérez, Juan F. and Gómez, Pablo Isaza and Bonet, Isis and Sánchez-Pinzón, María Solange and Caraffini, Fabio and Lochmuller, Christian},TITLE = {Assessing Climate Transition Risks in the Colombian Processed Food Sector: A Fuzzy Logic and Multi-Criteria Decision-Making Approach},JOURNAL = {Mathematics},VOLUME = {12},YEAR = {2024},NUMBER = {17},ARTICLE-NUMBER = {2713},URL = {https://www.mdpi.com/2227-7390/12/17/2713},ISSN = {2227-7390},ABSTRACT = {Climate risk assessment is critical for organisations, especially in sectors such as the processed food sector in Colombia. This study addresses the identification and assessment of the main climate transition risks using an approach that combines fuzzy logic with several multi-criteria decision-making methods. This approach makes it possible to handle the inherent imprecision of these risks and to use linguistic expressions to better describe them. The results indicate that the most critical risks are price volatility and availability of raw materials, the shift towards less carbon-intensive production models, increased carbon taxes, technological advances, and associated development or implementation costs. These risks are the most significant for the organisation studied and underline the need for investments to meet regulatory requirements, which are the main financial drivers for organisations. This analysis highlights the importance of a robust framework to anticipate and mitigate the impacts of the climate transition.},DOI = {10.3390/math12172713}}