Countries clustering with respect to carbon dioxide emissions by using the IEA database
Authors: Ntanos, Stamatios 
Chalikias, Miltiadis 
Issue Date: 1-Sep-2015
Conference: 7th International Conference on Information and Communication Technologies in Agriculture, Food and Environment, 17-20 September 2015, Kavala, Greece 
Journal: Proceedings of the 7th International Conference on Information and Communication Technologies in Agriculture, Food and Environment 
Keywords: Carbon emissions, Cluster analysis, Kaya identity
Abstract: 
The purpose of this study is to use clustering variables according to the Kaya identity, an equation involving energy consumption, economic growth and carbon dioxide emissions. By using aggregate data from the International Energy Agency for a dataset of developed and developing countries, we perform clustering according to variables such as population, gross domestic product (GDP), total primary energy supply (TPES) and total CO2 emissions. We use the estimated clusters to have an overview of the relationship between economic development and carbon dioxide emissions.
ISSN: 1613-0073
URI: https://uniwacris.uniwa.gr/handle/3000/1909
Type: Conference Paper
Department: Department of Business Administration 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Articles / Άρθρα

CORE Recommender
Show full item record

SCOPUSTM   
Citations

7
checked on Nov 3, 2024

Page view(s)

22
checked on Nov 5, 2024

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.