Date of Publication

2024

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Mathematics with specialization in Business Applications

Subject Categories

Mathematics

College

College of Science

Department/Unit

Mathematics and Statistics Department

Thesis Advisor

Ederlina G. Nocon

Defense Panel Chair

Mark Anthony A. Garcia

Defense Panel Member

Renato Alberto U. Victoria

Abstract/Summary

The study tackles an evolutionary game that focuses on the problem of reducing carbon emissions to protect the environment. It aims to discuss the use of evolutionary game theory (EGT) in analyzing the strategies of three players—the private companies, the local government, and the environmental department aimed at optimizing the reduction of CO2 emissions. As industries continue to expand leading to economic growth, more challenges occur affecting environmental sustainability. This is a global issue, so countries around the world are forced to seek alternative solutions that support national development but at the same time protect the environment that sustains lives. In this research work, we apply the EGT framework to study the cooperative or noncooperative behaviors of these players using the concepts of evolutionary stable strategies, Prisoner’s Dilemma, equilibrium selection, and replicator dynamics. An emission game model is examined to understand the possible situations based on the behavioral approaches of the stakeholders in consideration of the revenues and costs that result from their interactions. The study also includes simulations of situations by considering changes in various parameters that affect the overall payoffs of the players. The results of this work are beneficial for those who are interested in studying the field of evolutionary game theory, which proves to be applicable in dealing with real-world concerns such as ecological preservation.

Abstract Format

html

Language

English

Format

Electronic

Keywords

Carbon dioxide mitigation; Game theory; Mathematical optimization

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Embargo Period

8-12-2024

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