Análise comparativa entre qualidade de vida e trabalho humano em países pertencentes aos blocos G7 e BRICS: proposição de modelo de análise discriminante

Abstract

This study aimed to propose a data forecasting model and identify the variables influencing the classification of the Quality of Life (QoL) index and human labor in countries belonging to the G7 (Germany, France, Italy, Canada, Japan, United Kingdom, and United States of America - USA) and BRICS (Brazil, Russia, India, China, and South Africa) groups, through discriminant analysis. Fourteen variables were selected: from the NUMBEO platform, QoL indices such as quality of life index, purchasing power index, safety index, healthcare index, cost of living index, property price to income ratio, daily commuting time index, and pollution index. From the OECD platform, human labor indices included: employed women compared to the female population, women participating in the labor market, rate of unemployed women, employed men compared to the male population, rate of men participating in the workforce, and rate of unemployed men, spanning from 2010 to 2022. Data treatment, organization, and systematization were conducted using SPSS software, version 23.0, enabling descriptive and multivariate statistical analysis of the collected indices data. Discriminant analysis was chosen among possible multivariate statistics. Based on the results, the three variables that most differentiated the groups in order of importance were: employed women compared to the female population, women participating in the labor market, and rate of unemployed women. After considering QoL and human labor variables complementarily in the forecasting model created by discriminant analysis, Japan and France were classified as low QoL, India, Italy, Brazil, and South Africa as medium QoL, and Canada, Germany, Russia, United Kingdom, and USA as high QoL. This study identified potential gaps affecting the QoL of member countries of the BRICS and G7 blocs when integrating variables related to human labor.