Factorial Analysis as Tool to Predict the Economic Competitiveness of Mexico

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.