ERF 26th Annual Conference
Exploring the Relationship between Electricity Consumption and Drivers of Climate Change: A Functional Data Analysis Approach
No.
ERF26_213
Publisher
ERF
Date
July, 2020
Topic
Q3. Nonrenewable Resources and Conservation
Q5. Environmental Economics
This paper aims at (1) assessing the variations in the trends of CO2 emissions and electricity consumption across countries worldwide and the changes over time, (2) investigating the changes over time in the impact of electricity consumption on CO2 emissions worldwide with a particular focus on the countries in the MENA region, and (3) evaluating the di erences in the trends of CO2 emissions across the di erent income groups of countries. To achieve these aims, functional data analysis methods are employed. Functional data analysis has grown into a comprehensive and useful eld of statistics which provides a convenient framework to describe, model and analyse time series data for di erent individuals. Up to our knowledge, functional data analysis has not been employed before to study the patterns and relationships of CO2 emissions across the globe.
Authors
Amira Elayouty
Assistant Professor, Department of Statistics, Faculty of...
Research Fellows
Hala Abou-Ali
Professor of Economics, Faculty of Economics and...