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Analítica referencial para indicadores con impacto socioeconómico ante situaciones negativas de alcance global: caso de un país latinoamericano

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

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.

Título traducido de la contribuciónReferential analytics for indicators with socio-economic impact in the face of globally negative situations: case of a Latin American country.
Idioma originalEspañol
Título de la publicación alojadaCICIC 2024 - Decima Cuarta Conferencia Iberoamericana de Complejidad, Informatica y Cibernetica en el contexto de the 15th International Multi-Conference on Complexity, Informatics, and Cybernetics, IMCIC 2024 - Memorias
EditoresNagib C. Callaos, Jeremy Horne, Elena Fabiola Ruiz-Ledesma, Belkis Sanchez, Andres Tremante
EditorialInternational Institute of Informatics and Systemics, IIIS
Páginas51-57
Número de páginas7
ISBN (versión digital)9781950492763
DOI
EstadoPublicada - 1 ene. 2024
Publicado de forma externa
EventoDecima Cuarta Conferencia Iberoamericana de Complejidad, Informatica y Cibernetica, CICIC 2024 en el contexto de the 15th International Multi-Conference on Complexity, Informatics and Cybernetics, IMCIC 2024 - 14th Ibero-American Conference on Complexity, Informatics and Cybernetics, CICIC 2024 in the context of the 15th International Multi-Conference on Complexity, Informatics and Cybernetics, IMCIC 2024 - Virtual, Online
Duración: 26 mar. 202429 mar. 2024

Serie de la publicación

NombreMemorias de la Conferencia Iberoamericana de Complejidad, Informatica y Cibernetica, CICIC
Volumen2024-March
ISSN (versión impresa)2771-6333

Conferencia

ConferenciaDecima Cuarta Conferencia Iberoamericana de Complejidad, Informatica y Cibernetica, CICIC 2024 en el contexto de the 15th International Multi-Conference on Complexity, Informatics and Cybernetics, IMCIC 2024 - 14th Ibero-American Conference on Complexity, Informatics and Cybernetics, CICIC 2024 in the context of the 15th International Multi-Conference on Complexity, Informatics and Cybernetics, IMCIC 2024
CiudadVirtual, Online
Período26/03/2429/03/24

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

  1. ODS 2: Hambre cero
    ODS 2: Hambre cero

Palabras clave

  • Correspondence Analysis
  • Country Negative Situation
  • Data Platforms
  • Factor Analysis
  • Principal Component Analysis
  • Socioeconomic Indicators

Huella

Profundice en los temas de investigación de 'Analítica referencial para indicadores con impacto socioeconómico ante situaciones negativas de alcance global: caso de un país latinoamericano'. En conjunto forman una huella única.

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