abstract 108

Bulletin of Computational Applied Mathematics (Bull CompAMa) 

108

HJ-Biplot to Analyze the Contribution to Climate Change of Latin American Countries (Research Paper)

Dayana Zhigue, María Morejón, Isidro R. Amaro, Diego Morales-Navarrete.

Climate change is a determining factor in the development of negative environmental impacts. Identifying its contributing factors within the Latin American context takes on a heightened importance, and it is here that statistical methods help to make inferences. In Latin America, where ecological complexities abound, the emission profile is influenced by different activities, such as significant land use changes and agricultural activities. Therefore, this academic pursuit focuses on a meticulous study of variables that include energy consumption, land use, methane, nitrous oxide, and CO2 emissions from oil. In order to fully grasp the complex relationship between these variables and the countries under consideration, the HJ-Biplot methodology is used to extract information by interpreting the graphs presented. In this context, it was found that the Central American countries make a relatively modest contribution, while the experiences of Paraguay and Brazil underscore the robust relationship between environmental policies and the impact of climate change.

Keywords: Climate change; Latin America; multivariate analysis; HJ-Biplot.

Cite this paper:

Zhigue D., Morejón M., Amaro I.R., Morales-Navarrete D.

HJ-Biplot to Analyze the Contribution to Climate Change of Latin American Countries,

Bull. Comput. Appl. Math. (Bull CompAMa),

Vol. 12, No.2 pp.215-239, 2024.