Date of Publication

2025

Document Type

Dissertation/Thesis

Degree Name

Bachelor of Science in Mathematics with specialization in Business Applications

College

College of Science

Department/Unit

Mathematics and Statistics Department

Thesis Advisor

Ederlina G. Nocon

Defense Panel Chair

Kristine Joy E. Carpio

Defense Panel Member

Francis Joseph H. Campeña

Abstract/Summary

Greenhouse gas emissions are a major contributor to global warming, with a significant portion originating from the Philippine power industry. One approach to mitigating this issue is through the implementation of carbon taxation and emissions trading schemes. A fundamental first step in designing such policies is the identification of an equitable allocation plan of Carbon Emissions Reduction Responsibility (CERR). This study clusters the 17 regions of the Philippines into four Super Regions (SRs) based on proximity and applies cooperative game theory—specifically, the Myerson value—to determine CERR allocation. Using 2022 data from the Department of Energy, the findings indicate that regions IV-A, IV-B, V, and NCR bear the highest CERR due to their high power consumption and limited clean renewable energy capacity. The Visayas and Mindanao regions on the other hand have negative shares of CERR due to the abundance of clean energy supply that exceeds power demand. Beyond allocation, CERR has potential applications in tracking the effectiveness of environmental policies on renewable energy adoption and in shaping a fairer carbon taxation framework. Future research can explore how CERR evolves over time and its role in incentivizing sustainable energy transitions.

Abstract Format

html

Language

English

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Embargo Period

4-14-2025

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