Socioeconomic factors influencing chicken meat production in Peru during the 2016–2020 period
Descripción del Articulo
The objective of this study was to analyze the relationship between population growth and micro- and macroeconomic factors influencing chicken meat production in Peru during the 2016–2020 period. An observational, descriptive, cross-sectional, and correlational research design was employed. The calc...
| Autores: | , |
|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2025 |
| Institución: | Universidad Peruana Cayetano Heredia |
| Repositorio: | Revistas - Universidad Peruana Cayetano Heredia |
| Lenguaje: | español |
| OAI Identifier: | oai:revistas.upch.edu.pe:article/7328 |
| Enlace del recurso: | https://revistas.upch.edu.pe/index.php/STV/article/view/7328 |
| Nivel de acceso: | acceso abierto |
| Materia: | carne de pollo producción factores microeconómicos factores macroeconómicos Chicken meat production microeconomic factors macroeconomic factors Carne de frango produção fatores microeconômicos fatores macroeconômicos |
| id |
REVUPCH_61e46587c59b544d61926239e230e6e4 |
|---|---|
| oai_identifier_str |
oai:revistas.upch.edu.pe:article/7328 |
| network_acronym_str |
REVUPCH |
| network_name_str |
Revistas - Universidad Peruana Cayetano Heredia |
| repository_id_str |
|
| dc.title.none.fl_str_mv |
Socioeconomic factors influencing chicken meat production in Peru during the 2016–2020 period Factores socioeconómicos que influyeron sobre la producción de carne de pollo en el Perú durante el período 2016-2020 Fatores socioeconômicos que influenciaram a produção de carne de frango no Peru durante o período de 2016–2020 |
| title |
Socioeconomic factors influencing chicken meat production in Peru during the 2016–2020 period |
| spellingShingle |
Socioeconomic factors influencing chicken meat production in Peru during the 2016–2020 period Zuazo, José carne de pollo producción factores microeconómicos factores macroeconómicos Chicken meat production microeconomic factors macroeconomic factors Carne de frango produção fatores microeconômicos fatores macroeconômicos |
| title_short |
Socioeconomic factors influencing chicken meat production in Peru during the 2016–2020 period |
| title_full |
Socioeconomic factors influencing chicken meat production in Peru during the 2016–2020 period |
| title_fullStr |
Socioeconomic factors influencing chicken meat production in Peru during the 2016–2020 period |
| title_full_unstemmed |
Socioeconomic factors influencing chicken meat production in Peru during the 2016–2020 period |
| title_sort |
Socioeconomic factors influencing chicken meat production in Peru during the 2016–2020 period |
| dc.creator.none.fl_str_mv |
Zuazo, José Amarista, Manuel |
| author |
Zuazo, José |
| author_facet |
Zuazo, José Amarista, Manuel |
| author_role |
author |
| author2 |
Amarista, Manuel |
| author2_role |
author |
| dc.subject.none.fl_str_mv |
carne de pollo producción factores microeconómicos factores macroeconómicos Chicken meat production microeconomic factors macroeconomic factors Carne de frango produção fatores microeconômicos fatores macroeconômicos |
| topic |
carne de pollo producción factores microeconómicos factores macroeconómicos Chicken meat production microeconomic factors macroeconomic factors Carne de frango produção fatores microeconômicos fatores macroeconômicos |
| description |
The objective of this study was to analyze the relationship between population growth and micro- and macroeconomic factors influencing chicken meat production in Peru during the 2016–2020 period. An observational, descriptive, cross-sectional, and correlational research design was employed. The calculation of the Pearson correlation coefficients revealed strong, positive, and statistically significant linear relationships between chicken meat production and demographic variables (population growth: r = 0.9951; p = 0.0004), microeconomic variables (average annual household income: r = 0.8824; p = 0.0475; national consumption of hard yellow maize: r = 0.9442; p = 0.0157), and macroeconomic variables (import of hard yellow maize: r = 0.9472; p = 0.0145; gross domestic product: r = 0.9106; p = 0.0316). A significant negative linear relationship was also observed with soybean meal imports (r = –0.9064; p = 0.0339). The coefficient of determination indicated that these variables explain more than 82% of the variance in national production, reflecting a model with high explanatory power. It is concluded that the Peruvian poultry sector shows a trend of expansion, influenced by economic and demographic factors, as well as by the high acceptance of chicken among the population due to its accessibility, low cost, and culinary versatility. Nevertheless, structural vulnerability is noted in relation to internal factors—such as inflation—and external factors—such as an increase in international prices of key inputs. Finally, pending challenges are highlighted, aimed at integrating the sub-sectors of the production chain, modernizing the regulatory framework, and promoting public-private investment to strengthen the competitiveness of the national poultry sector. |
| publishDate |
2025 |
| dc.date.none.fl_str_mv |
2025-11-20 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
https://revistas.upch.edu.pe/index.php/STV/article/view/7328 10.20453/stv.v13i2.7328 |
| url |
https://revistas.upch.edu.pe/index.php/STV/article/view/7328 |
| identifier_str_mv |
10.20453/stv.v13i2.7328 |
| dc.language.none.fl_str_mv |
spa |
| language |
spa |
| dc.relation.none.fl_str_mv |
https://revistas.upch.edu.pe/index.php/STV/article/view/7328/6754 |
| dc.rights.none.fl_str_mv |
Derechos de autor 2025 Oficina de Publicaciones Científicas http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
Derechos de autor 2025 Oficina de Publicaciones Científicas http://creativecommons.org/licenses/by/4.0 |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Universidad Peruana Cayetano Heredia |
| publisher.none.fl_str_mv |
Universidad Peruana Cayetano Heredia |
| dc.source.none.fl_str_mv |
Salud y Tecnología Veterinaria; Vol. 13 No. 2 (2025): Julio-diciembre; e7328 Salud y Tecnología Veterinaria; Vol. 13 Núm. 2 (2025): Julio-diciembre; e7328 2312-3907 10.20453/stv.v13i2 reponame:Revistas - Universidad Peruana Cayetano Heredia instname:Universidad Peruana Cayetano Heredia instacron:UPCH |
| instname_str |
Universidad Peruana Cayetano Heredia |
| instacron_str |
UPCH |
| institution |
UPCH |
| reponame_str |
Revistas - Universidad Peruana Cayetano Heredia |
| collection |
Revistas - Universidad Peruana Cayetano Heredia |
| repository.name.fl_str_mv |
|
| repository.mail.fl_str_mv |
|
| _version_ |
1853128777261907968 |
| spelling |
Socioeconomic factors influencing chicken meat production in Peru during the 2016–2020 period Factores socioeconómicos que influyeron sobre la producción de carne de pollo en el Perú durante el período 2016-2020Fatores socioeconômicos que influenciaram a produção de carne de frango no Peru durante o período de 2016–2020Zuazo, JoséAmarista, Manuelcarne de polloproducciónfactores microeconómicosfactores macroeconómicosChicken meatproductionmicroeconomic factorsmacroeconomic factorsCarne de frangoproduçãofatores microeconômicosfatores macroeconômicosThe objective of this study was to analyze the relationship between population growth and micro- and macroeconomic factors influencing chicken meat production in Peru during the 2016–2020 period. An observational, descriptive, cross-sectional, and correlational research design was employed. The calculation of the Pearson correlation coefficients revealed strong, positive, and statistically significant linear relationships between chicken meat production and demographic variables (population growth: r = 0.9951; p = 0.0004), microeconomic variables (average annual household income: r = 0.8824; p = 0.0475; national consumption of hard yellow maize: r = 0.9442; p = 0.0157), and macroeconomic variables (import of hard yellow maize: r = 0.9472; p = 0.0145; gross domestic product: r = 0.9106; p = 0.0316). A significant negative linear relationship was also observed with soybean meal imports (r = –0.9064; p = 0.0339). The coefficient of determination indicated that these variables explain more than 82% of the variance in national production, reflecting a model with high explanatory power. It is concluded that the Peruvian poultry sector shows a trend of expansion, influenced by economic and demographic factors, as well as by the high acceptance of chicken among the population due to its accessibility, low cost, and culinary versatility. Nevertheless, structural vulnerability is noted in relation to internal factors—such as inflation—and external factors—such as an increase in international prices of key inputs. Finally, pending challenges are highlighted, aimed at integrating the sub-sectors of the production chain, modernizing the regulatory framework, and promoting public-private investment to strengthen the competitiveness of the national poultry sector.El objetivo del estudio fue analizar la relación entre el crecimiento poblacional y los factores micro y macroeconómicos que influyeron en la producción de carne de pollo en el Perú durante el período 2016-2020. Se empleó un diseño de investigación observacional, descriptivo, de corte transversal y correlacional. El cálculo del coeficiente de correlación de Pearson reveló relaciones lineales, fuertes, positivas y estadísticamente significativas entre la producción de carne de pollo y las variables demográficas (crecimiento poblacional: r = 0,9951; p = 0,0004), microeconómicas (ingreso familiar promedio anual: r = 0,8824; p = 0,0475; consumo nacional de maíz amarillo duro: r = 0,9442; p = 0,0157), y macroeconómicas (importación de maíz amarillo duro: r = 0,9472; p = 0,0145); producto bruto interno: r = 0,9106; p = 0,0316). Asimismo, se identificó una relación lineal negativa y significativa con la importación de torta de soya (r = –0,9064; p = 0,0339). El coeficiente de determinación indicó que dichas variables explican más del 82 % de la varianza en la producción nacional, lo que evidencia un modelo con alta capacidad explicativa. Se concluye que el sector avícola peruano presenta una tendencia de expansión, influida por factores económicos y demográficos, así como por la alta aceptación del producto entre la población, debido a su accesibilidad, bajo costo y versatilidad culinaria. No obstante, se advierte una vulnerabilidad estructural frente a factores internos —como la inflación— y externos —como el incremento de precios internacionales de insumos clave—. Finalmente, se destacan desafíos pendientes orientados a la integración de los subsectores de la cadena productiva, la modernización del marco normativo y el fomento de la inversión público-privada, con el fin de fortalecer la competitividad del sector avícola nacional.O objetivo do estudo foi analisar a relação entre o crescimento populacional e os fatores micro e macroeconômicos que influenciaram a produção de carne de frango no Peru durante o período de 2016–2020. Empregou-se um delineamento de pesquisa observacional, descritivo, transversal e correlacional. O cálculo do coeficiente de correlação de Pearson revelou relações lineares, fortes, positivas e estatisticamente significativas entre a produção de carne de frango e as variáveis demográficas (crescimento populacional: r = 0.9951; p = 0.0004), microeconômicas (renda familiar média anual: r = 0.8824; p = 0.0475; consumo nacional de milho amarelo duro: r = 0.9442; p = 0.0157) e macroeconômicas (importação de milho amarelo duro: r = 0.9472; p = 0.0145; produto interno bruto: r = 0.9106; p = 0.0316). Além disso, identificou-se uma relação linear negativa e significativa com a importação de farelo de soja (r = –0.9064; p = 0.0339). O coeficiente de determinação indicou que essas variáveis explicam mais de 82% da variância da produção nacional, evidenciando um modelo com alta capacidade explicativa. Conclui-se que o setor avícola peruano apresenta uma tendência de expansão, influenciada por fatores econômicos e demográficos, bem como pela elevada aceitação do produto entre a população, devido à sua acessibilidade, baixo custo e versatilidade culinária. No entanto, observa-se uma vulnerabilidade estrutural diante de fatores internos — como a inflação — e externos — como o aumento dos preços internacionais de insumos-chave. Por fim, destacam-se desafios pendentes voltados à integração dos subsetores da cadeia produtiva, à modernização do marco regulatório e ao incentivo ao investimento público-privado, com o objetivo de fortalecer a competitividade do setor avícola nacional.Universidad Peruana Cayetano Heredia2025-11-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.upch.edu.pe/index.php/STV/article/view/732810.20453/stv.v13i2.7328Salud y Tecnología Veterinaria; Vol. 13 No. 2 (2025): Julio-diciembre; e7328Salud y Tecnología Veterinaria; Vol. 13 Núm. 2 (2025): Julio-diciembre; e73282312-390710.20453/stv.v13i2reponame:Revistas - Universidad Peruana Cayetano Herediainstname:Universidad Peruana Cayetano Herediainstacron:UPCHspahttps://revistas.upch.edu.pe/index.php/STV/article/view/7328/6754Derechos de autor 2025 Oficina de Publicaciones Científicashttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessoai:revistas.upch.edu.pe:article/73282025-12-12T23:20:36Z |
| score |
13.384696 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).