Sustainability Multivariate Analysis of the Energy Consumption of Ecuador Using MuSIASEM and BIPLOT Approach
Rapid economic growth, expanding populations and increasing prosperity are driving up demand for energy, water and food, especially in developing countries. To understand the energy consumption of a country, we used the Multi-Scale Integrated Analysis of Societal and Ecosystem Metabolism (MuSIASEM)...
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doaj-543897ff7db14acd9fcc712b6d65c2792020-11-24T22:13:37ZengMDPI AGSustainability2071-10502017-06-019698410.3390/su9060984su9060984Sustainability Multivariate Analysis of the Energy Consumption of Ecuador Using MuSIASEM and BIPLOT ApproachNathalia Tejedor-Flores0Purificación Vicente-Galindo1Purificación Galindo-Villardón2Department of Statistics, University of Salamanca, 37008 Salamanca, SpainDepartment of Statistics, University of Salamanca, 37008 Salamanca, SpainDepartment of Statistics, University of Salamanca, 37008 Salamanca, SpainRapid economic growth, expanding populations and increasing prosperity are driving up demand for energy, water and food, especially in developing countries. To understand the energy consumption of a country, we used the Multi-Scale Integrated Analysis of Societal and Ecosystem Metabolism (MuSIASEM) approach. The MuSIASEM is an innovative approach to accounting that integrates quantitative information generated by distinct types of conventional models based on different dimensions and scales of analysis. The main objective of this work is to enrich the MuSIASEM approach with information from multivariate methods in order to improve the efficiency of existing models of sustainability. The Biplot method permits the joint plotting, in a reduced dimension of the rows (individuals) and columns (variables) of a multivariate data matrix. We found, in the case study of Ecuador, that the highest values of the Exosomatic Metabolic Rate (EMR) per economic sector and Economic Labor Productivity (ELP) are located in the Productive Sector (PS). We conclude that the combination of the MuSIASEM variables with the HJ-Biplot allows us to easily know the detailed behavior of the labor productivity and energy consumption of a country.http://www.mdpi.com/2071-1050/9/6/984sustainable developmentenergy consumptionMuSIASEMHJ-Biplot |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nathalia Tejedor-Flores Purificación Vicente-Galindo Purificación Galindo-Villardón |
spellingShingle |
Nathalia Tejedor-Flores Purificación Vicente-Galindo Purificación Galindo-Villardón Sustainability Multivariate Analysis of the Energy Consumption of Ecuador Using MuSIASEM and BIPLOT Approach Sustainability sustainable development energy consumption MuSIASEM HJ-Biplot |
author_facet |
Nathalia Tejedor-Flores Purificación Vicente-Galindo Purificación Galindo-Villardón |
author_sort |
Nathalia Tejedor-Flores |
title |
Sustainability Multivariate Analysis of the Energy Consumption of Ecuador Using MuSIASEM and BIPLOT Approach |
title_short |
Sustainability Multivariate Analysis of the Energy Consumption of Ecuador Using MuSIASEM and BIPLOT Approach |
title_full |
Sustainability Multivariate Analysis of the Energy Consumption of Ecuador Using MuSIASEM and BIPLOT Approach |
title_fullStr |
Sustainability Multivariate Analysis of the Energy Consumption of Ecuador Using MuSIASEM and BIPLOT Approach |
title_full_unstemmed |
Sustainability Multivariate Analysis of the Energy Consumption of Ecuador Using MuSIASEM and BIPLOT Approach |
title_sort |
sustainability multivariate analysis of the energy consumption of ecuador using musiasem and biplot approach |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2017-06-01 |
description |
Rapid economic growth, expanding populations and increasing prosperity are driving up demand for energy, water and food, especially in developing countries. To understand the energy consumption of a country, we used the Multi-Scale Integrated Analysis of Societal and Ecosystem Metabolism (MuSIASEM) approach. The MuSIASEM is an innovative approach to accounting that integrates quantitative information generated by distinct types of conventional models based on different dimensions and scales of analysis. The main objective of this work is to enrich the MuSIASEM approach with information from multivariate methods in order to improve the efficiency of existing models of sustainability. The Biplot method permits the joint plotting, in a reduced dimension of the rows (individuals) and columns (variables) of a multivariate data matrix. We found, in the case study of Ecuador, that the highest values of the Exosomatic Metabolic Rate (EMR) per economic sector and Economic Labor Productivity (ELP) are located in the Productive Sector (PS). We conclude that the combination of the MuSIASEM variables with the HJ-Biplot allows us to easily know the detailed behavior of the labor productivity and energy consumption of a country. |
topic |
sustainable development energy consumption MuSIASEM HJ-Biplot |
url |
http://www.mdpi.com/2071-1050/9/6/984 |
work_keys_str_mv |
AT nathaliatejedorflores sustainabilitymultivariateanalysisoftheenergyconsumptionofecuadorusingmusiasemandbiplotapproach AT purificacionvicentegalindo sustainabilitymultivariateanalysisoftheenergyconsumptionofecuadorusingmusiasemandbiplotapproach AT purificaciongalindovillardon sustainabilitymultivariateanalysisoftheenergyconsumptionofecuadorusingmusiasemandbiplotapproach |
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1725800477990322176 |