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Identification of the relationship between economic and social growth and energy development in Colombia, through multivariate pictorial graphs and dispersion matrix


Article Information

Title: Identification of the relationship between economic and social growth and energy development in Colombia, through multivariate pictorial graphs and dispersion matrix

Authors: Jaime Alejandro Ospina Betancur, Jhony Mauricio Gutierrez Florez, Lester Dario Portillo Jimenez, Juan Gonzalo Ardila Marín

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2022

Volume: 17

Issue: 17

Language: English

Categories

Abstract

Colombia is a country with a great projection in its energy development. It would be important to identify the relationship between economic and social growth and energy development with different potential countries of the world such as the United States, Canada, Russia, and with other countries such as Brazil, which in South America make a difference, thus generating a prospective vision in order to improve the socio-economic-energy condition of Colombia. In this work a series of countries are analyzed by their energy characteristics which are: Colombia, Venezuela, Mexico, Brazil, Argentina, United States, Canada, Russia, Iraq, Iran and China; in order to carry out an analysis between the economic, energy and social relationship; For this, the variables to be analyzed are defined, they are specified by their economic importance (GDP, GDP per capita and inflation), social (human development index-HDI) and energy (oil, gas and electricity production); The data is collected and standardized to proceed with the simulation of the Chernoff graphs, Stars and the relationship matrix between the different analysis variables, which allows an analysis of the current state of growth economic, social and energy development and its possible projections. According to the graph, it is concluded that Colombia is like Mexico and China if the population variable is also added to the latter. The face of the simulation with the greatest representation of the variables is that of the United States, which has greater homogeneity in its variables, being the one with the greatest development. According to the Chernoff graphs, which represent each country and each of the variables to be studied represents a physiological characteristic of the face, it is possible to identify the similarities between the countries in relation to these variables. Giving rise to the analysis of the socio-economic situation and energy production of the countries that are similar.


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