Principal component analysis and application to public expenditure efficiency indicators

Baraka Achraf Chakir; Driss Mentagui; Ahssaine Bourakadi; Yamoul Nada

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Principal component analysis and application to public expenditure efficiency indicators

Author(s)

Baraka Achraf Chakir Department of Mathematics, Faculty of Sciences, Ibn Tofail University Kenitra City, Morocco

Driss Mentagui Department of Mathematics, Faculty of Sciences, Ibn Tofail University Kenitra City, Morocco

Ahssaine Bourakadi Department of Mathematics, Faculty of Sciences, Ibn Tofail University Kenitra City, Morocco

Yamoul Nada Department of Physics, Faculty of Sciences, Ibn Tofail University Kenitra City, Morocco

Abstract

The Multicriteria classification and data processing of quantitative and qualitative indicators cannot be carried out directly by conventional statistical methods. In this work, the principal component analysis of the indicators of the efficiency social spending following the transformation of the variables (centered, normalized), was carried out through projections of point clouds in the space of the plans factorials. Corresponding to multivariate analyzes of variance. This analysis made it possible to classify the effectiveness of social spending in 14 emerging countries. Subsequently, a comparison with the ascending hierarchical classification using the Ward method confirms the rankings obtained, ranking Morocco among the less efficient in terms of social spending countries at the same level as most of the North African countries. The results come from R and SPSS software.

Publication Details

Page(s) 101-119

DOI DOI not available

Published Journal: Pakistan Journal of Statistics, Volume: 37, Issue: 2, Year: 2021

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Keywords

Principal component analysis, Hierarchical Ascending Classification, SPSS and R software.

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