Volume 7, Issue 6, December 2019, Page: 112-120
Factorial Analysis as Tool to Predict the Economic Competitiveness of Mexico
Juan Bacilio Guerrero Escamilla, School of Social Sciences and Humanities, Autonomous University of the State of Hidalgo, Pachuca City, Mexico
Sócrates López Pérez, School of Social Sciences and Humanities, Autonomous University of the State of Hidalgo, Pachuca City, Mexico
Yamile Rangel Martinez, School of Social Sciences and Humanities, Autonomous University of the State of Hidalgo, Pachuca City, Mexico
Received: May 20, 2019;       Accepted: Jul. 12, 2019;       Published: Dec. 19, 2019
DOI: 10.11648/j.sjams.20190706.13      View  586      Downloads  165
Abstract
In the present research work the essential elements are given to build the Economic Competitiveness Index (ICE) of Mexico in 2015, for which, the technique of factorial analysis of multivariable statistics is used. Of the construction of this indicator, we start with the report presented at the World Economic Forum (WEF) in 2016, in which the variables that must be considered to increase the economic competitiveness of the countries captured. With the development of this indicator, it was possible to predict the effects that technological innovation has on the competitiveness of the country. Added to this, it identifies the limitations that each federal entity has in relation to said concept. The development of this factorial model was done through the programming language R.
Keywords
Competitiveness, Methodology and Factorial Analysis, Development of Indicator
To cite this article
Juan Bacilio Guerrero Escamilla, Sócrates López Pérez, Yamile Rangel Martinez, Factorial Analysis as Tool to Predict the Economic Competitiveness of Mexico, Science Journal of Applied Mathematics and Statistics. Vol. 7, No. 6, 2019, pp. 112-120. doi: 10.11648/j.sjams.20190706.13
Copyright
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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