Referential analytics for indicators with socio-economic impact in the face of globally negative situations: case of a Latin American country.

More Valencia R.A.; Sandoval Morales C.; Albán Suárez M.G.; Torres Ludeña L.M. · Memorias de la Conferencia Iberoamericana de Complejidad, Informatica y Cibernetica, CICIC (2024) · DOI: 10.54808/cicic2024.01.51

Resumen

This study on the socio-economic impact of negative situations globally in Peru addressed crucial aspects through factor analysis and correspondence. Data analysis and information, facilitated by access to data collected by the World Bank during globally negative situations, can support decision-making in economic and social environments. The methodology used revealed patterns and relationships between variables such as education, income, and agricultural activity, providing a comprehensive view of socio-economic complexity. Factor classification is presented as an analysis to review the effectiveness of governmental communication, especially in critical situations. Emergency management, informed public awareness, and the utility of data on global platforms are highlighted aspects that demonstrate how a structured and aware approach, directly linked to socio-economic factors, is essential in decision-making during negative events. The study assessed the impact on various sectors, highlighting complex challenges in agricultural productivity and the importance of culture, demographics, and governmental decisions in responding to global crises, understanding, and managing socio-economic crises in Peru.

Instituciones: Universidad Nacional de Piura