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Sustainability Multivariate Analysis of the Energy Consumption of Ecuador Using MuSIASEM and BIPLOT Approach

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  • Nathalia Tejedor-Flores

    (Department of Statistics, University of Salamanca, 37008 Salamanca, Spain)

  • Purificación Vicente-Galindo

    (Department of Statistics, University of Salamanca, 37008 Salamanca, Spain
    Instituto de Investigación Biomédica (IBSAL), 08028 Salamanca, Spain)

  • Purificación Galindo-Villardón

    (Department of Statistics, University of Salamanca, 37008 Salamanca, Spain
    Instituto de Investigación Biomédica (IBSAL), 08028 Salamanca, Spain
    Escuela Superior Politécnica del Litoral (ESPOL), Facultad de Ciencias de la Vida, 09-01-5863 Guayaquil, Ecuador)

Abstract

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.

Suggested Citation

  • Nathalia Tejedor-Flores & Purificación Vicente-Galindo & Purificación Galindo-Villardón, 2017. "Sustainability Multivariate Analysis of the Energy Consumption of Ecuador Using MuSIASEM and BIPLOT Approach," Sustainability, MDPI, vol. 9(6), pages 1-15, June.
  • Handle: RePEc:gam:jsusta:v:9:y:2017:i:6:p:984-:d:100744
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    References listed on IDEAS

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    1. Chen, Lei & Xu, Linyu & Velasco-Fernández, Raúl & Giampietro, Mario & Yang, Zhifeng, 2021. "Residential energy metabolic patterns in China: A study of the urbanization process," Energy, Elsevier, vol. 215(PA).
    2. Carmen C. Rodríguez-Martínez & Isabel María García-Sánchez & Purificación Vicente-Galindo & Purificación Galindo-Villardón, 2019. "Exploring Relationships between Environmental Performance, E-Government and Corruption: A Multivariate Perspective," Sustainability, MDPI, vol. 11(22), pages 1-16, November.
    3. Joel A. Martínez-Regalado & Cinthia Leonora Murillo-Avalos & Purificación Vicente-Galindo & Mónica Jiménez-Hernández & José Luis Vicente-Villardón, 2021. "Using HJ-Biplot and External Logistic Biplot as Machine Learning Methods for Corporate Social Responsibility Practices for Sustainable Development," Mathematics, MDPI, vol. 9(20), pages 1-16, October.
    4. Carmen C. Rodríguez-Martínez & Mitzi Cubilla-Montilla & Purificación Vicente-Galindo & Purificación Galindo-Villardón, 2023. "X-STATIS: A Multivariate Approach to Characterize the Evolution of E-Participation, from a Global Perspective," Mathematics, MDPI, vol. 11(6), pages 1-15, March.
    5. Ahmad, Shakeel & Jia, Haifeng & Chen, Zhengxia & Li, Qian & Xu, Changqing, 2020. "Water-energy nexus and energy efficiency: A systematic analysis of urban water systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    6. Edith Medina-Hernández & María José Fernández-Gómez & Inmaculada Barrera-Mellado, 2021. "Gender Inequality in Latin America: A Multidimensional Analysis Based on ECLAC Indicators," Sustainability, MDPI, vol. 13(23), pages 1-20, November.

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