Authors:
Ify Nwabuokei, Mohammed Ghouse, Wenjun Chen, Elvis Tony Raphael Kollannur, Hai Li, Rejwan Bin Sulaiman

Addresses:
1,2,3,4,5,6Department of Computer and Information Science, Northumbria University, London, United Kingdom. inwabuokei8@gmail.com1, mdghouse1293@gmail.com2, wenjun.chenp@gmail.com3, mail@elvistony.dev4, haitin.lee@gmail.com5, rejwan.sulaiman@northumbria.ac.uk6. 

Abstract:

This research paper delves into the intricate relationship between population size and carbon emissions, focusing on a comparative analysis between developed and developing nations. The significance of this topic lies in its critical role in environmental studies and climate change mitigation. The study’s purpose is to quantitatively analyze the impact of population on carbon emissions and provide insights for targeted climate change mitigation strategies, particularly contrasting the dynamics in developed versus developing countries. Employing advanced machine learning techniques, such as random forest, linear regression, and Xgboost, the research aims to quantify the influence of population on carbon emissions. The analysis reveals distinct emission trajectories for developed and developing nations, with the United States and China serving as primary examples. The findings underscore the significance of population size in shaping carbon emissions and emphasize the need for tailored policy interventions that consider each nation’s demographic and industrial landscape. The research offers a comprehensive understanding of the correlation between population dynamics and carbon emissions, providing a foundation for future policy-making and interventions.

Keywords: Carbon Emissions; Population Size; Developed Countries; Developing Countries; Machine Learning; Comparative Analysis; Climate Change Mitigation; Policy Interventions; Global Warming; Quantum Dots (QDs).

Received on: 15/05/2023, Revised on: 29/07/2023, Accepted on: 17/09/2023, Published on: 23/12/2023

FMDB Transactions on Sustainable Energy Sequence, 2023 Vol. 1 No. 2, Pages: 71-82

• Views : 202
• Downloads : 13

Download PDF