Influencing variables and scenarios for the frozen fruit agro-export sector: the peruvian case

Descripción del Articulo

In recent years, the agro-export sector in Peru has undergone constant changes caused by the political context, technological advances, among others, which affect the market share of Peruvian producers compared to other countries producers in this sector. This research focuses on identifying the mos...

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Detalles Bibliográficos
Autores: Alvarez Gallegos, Ariana Mariell, Soto Tipacti, Cesar Andre
Formato: tesis de grado
Fecha de Publicación:2023
Institución:Universidad de Lima
Repositorio:ULIMA-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.ulima.edu.pe:20.500.12724/19002
Enlace del recurso:https://hdl.handle.net/20.500.12724/19002
Nivel de acceso:acceso abierto
Materia:Productos agrícolas
Industria agrícola
Frutas
Exportación
Estudios de prefactibilidad
Proyectos industriales
Farm produce
Farm supply industries
Fruits
Exports
Prefeasibility studies
Industrial projects
https://purl.org/pe-repo/ocde/ford#2.11.04
Descripción
Sumario:In recent years, the agro-export sector in Peru has undergone constant changes caused by the political context, technological advances, among others, which affect the market share of Peruvian producers compared to other countries producers in this sector. This research focuses on identifying the most influential variables to determine future scenarios in the Peruvian agro-export sector of frozen fruits. The study analyses mango, blueberry and strawberry exports in Peru, in order to promote the development and growth of this sector. It has a mixed approach and follows Godet's prospective strategy as a research methodology. To this end, interviews were conducted with experts to find the most influential variables and factors were identified for the analysis of key variables using the Multiplicative Cross Impact Matrix Applied to a Classification (MICMAC) method and the construction of scenarios using the System of Cross Impact Matrices (SMIC) method. The conclusions of the study indicate that the variables with the greatest impact are exogenous, such as the implementation of agricultural technologies and adequate cold chain logistics. These results allow us to propose possible scenarios that can be used to develop improvement proposals for the future development of the sector.
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