Greenhouse gases emissions and electric power generation in Latin American countries in the period 2006–2013

Leadina Sánchez, Carmen Vásquez, Amelec Viloria, Lizeth Rodríguez Potes

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

The objective of this study is to classify the group of countries that contributes to the emissions of GHG gases in relation to their electric power generation. The data used for this classification are those reported by OLADE during the period from 2006 to 2013. The results show that they were organized in four (4) clusters, dividing them into efficient and inefficient levels. In the highest efficient level is Brazil, while in the lowest efficient level are Colombia, Costa Rica, El Salvador, Panama, Paraguay, Peru, Uruguay, and Venezuela. Argentina and Mexico are in the highest inefficient level, while the rest of the Latin American countries are in the lowest inefficient level. The countries located at the efficient and inefficient levels were labeled as most emitting countries and least emitting countries.

Original languageEnglish
Title of host publicationData Mining and Big Data - 3rd International Conference, DMBD 2018, Proceedings
EditorsYuhui Shi, Qirong Tang, Ying Tan
PublisherSpringer Verlag
Pages777-785
Number of pages9
ISBN (Print)9783319938028
DOIs
StatePublished - 2018
Event3rd International Conference on Data Mining and Big Data, DMBD 2018 held in conjunction with the 9th International Conference on Swarm Intelligence, ICSI 2018 - Shanghai, China
Duration: 17 Jun 201822 Jun 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10943 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Conference on Data Mining and Big Data, DMBD 2018 held in conjunction with the 9th International Conference on Swarm Intelligence, ICSI 2018
Country/TerritoryChina
CityShanghai
Period17/06/1822/06/18

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG, part of Springer Nature 2018.

Keywords

  • Greenhouse gases
  • Latin America
  • Less emitters
  • More emitters
  • Power generation

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