Application of the principal component technique in the determination of environmental asset variables

Abstract

The purpose of this research study is to determine the relationships between environmental assets and the variables that influence their development. A multivariate cluster analysis technique is used. The Ward method for clustering and the Euclidean squared distance interval were applied to identify groups formed in environmental asset dynamics in the knowledge economy framework and to determine correlation degrees between them. The results show that there is a strong association between training levels and access to technology and between government decisions and the sectors that have the greatest influence on environmental assets. It is concluded that this is an indication of the strong and positive influence that technological sophistication has on the conservation of environmental resources, which is linked to public policies that favor its application and promote investment in innovation and technological development.