| Revista: | Face: revista de la Facultad de Ciencias Económicas y Empresariales |
| Base de datos: | |
| Número de sistema: | 000576741 |
| ISSN: | 2500-9338 |
| Autores: | Abril Teatin, Jheisson Andres1 Blanco Mesa, Fabio2 Romero Muñoz, Jorge3 |
| Instituciones: | 1Universidad Pedagógica y Tecnológica de Colombia, 2Universidad de Barcelona, 3Universidad Externado de Colombia, |
| Año: | 2024 |
| Volumen: | 24 |
| Número: | 1 |
| Paginación: | 6-22 |
| País: | Colombia |
| Idioma: | Español |
| Resumen en inglés | The objective of this research is to determine the variables for a financial education evaluation model in emergingmarket applied to a gender comparison. This study uses principal component analysis (PCA) and comparativequalitative fuzzy set analysis to determine the correlational of financial literacy variables and identify their patternsthrough their causal relationships. For this, the data set used has been collected through the application of 2499questionnaires to the adult population of the departments of central Colombia. Using PCA is found 7 latent variablesthat al-lows to the generation of different scenarios that highlight the importance of the financial education variablesanalysed. Using fsQCA analysis is carried out six rounds to evaluate the causal conditions necessary for the occurrenceof savings, credit and investment for the community identified in the male and female gender This information is usefulfor the different organizations in charge of the legislation and implementation of the FE. Results confirms the existenceof different perceptions and skills in FE among the subjects analysed. Likewise, these differences underscore theimportance of gender-specific FE and how it influences their financial decisions. |
| Resumen en español | The aim of this study is to develop a model for evaluating financial education in emerging markets, with a focus on gender differences. The research employs principal component analysis (PCA) and comparative qualitative fuzzy set analysis to explore the correlations among financial literacy variables and to identify patterns in their causal relationships. Data was gathered from 2499 questionnaires distributed among the adult population in central Colombia. PCA revealed seven latent variables, allowing for the generation of various scenarios that underscore the significance of the analyzed financial education variables. Additionally, using fsQCA analysis, six rounds were conducted to assess the causal conditions necessary for savings, credit, and investment among the male and female populations. These findings are valuable for organizations responsible for the legislation and implementation of financial education initiatives. The results highlight distinct perceptions and competencies in financial education among the surveyed individuals, emphasizing the importance of tailoring financial education programs to specific genders and understanding how these differences influence financial decision-making. |
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