Investigating the Association Between Carbon Dioxide (CO2) Emissions and Energy Consumption on the Economic Growth of Clusterized Countries in the World
Keywords:Carbon dioxide CO2 emissions, Economic growth, Energy consumption, Generalized Least Square, K-Means
This research aims to investigate the relationship between carbon dioxide (CO2) emissions and energy consumption on the economic growth of countries in the world based on Gross Domestic Product (GDP). We use a large volume of data related to CO2 emissions per capita and energy consumption per capita of each country in the world, so a clustering process is needed using the K-Means method, which divides the country into three cluster labels: high, medium, and low. Then, we performed multiple linear regression using the Generalized Least Square with Autoregressive (GLSAR) method for data that did not satisfy the Best Linear Unbiased Estimator (BLUE) criteria. The results are that countries included in the high cluster have a closer relationship between CO2 emissions and energy consumption to GDP than the medium cluster. Likewise, for the medium cluster against the low cluster.
How to Cite
Copyright (c) 2023 European Journal of Pure and Applied Mathematics
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Upon acceptance of an article by the journal, the author(s) accept(s) the transfer of copyright of the article to European Journal of Pure and Applied Mathematics.
European Journal of Pure and Applied Mathematics will be Copyright Holder.