Bibliographic citations
Fuentes, B., (2022). Determinantes de la decisión de frecuencia y lugar de compra para el abastecimiento del hogar: caso de estudio para Lima Metropolitana [Tesis, Universidad de Ingeniería y Tecnología]. https://hdl.handle.net/20.500.12815/342
Fuentes, B., Determinantes de la decisión de frecuencia y lugar de compra para el abastecimiento del hogar: caso de estudio para Lima Metropolitana [Tesis]. PE: Universidad de Ingeniería y Tecnología; 2022. https://hdl.handle.net/20.500.12815/342
@misc{renati/230630,
title = "Determinantes de la decisión de frecuencia y lugar de compra para el abastecimiento del hogar: caso de estudio para Lima Metropolitana",
author = "Fuentes Rivera Cieza, Berenzon Misheline",
publisher = "Universidad de Ingeniería y Tecnología",
year = "2022"
}
Grocery shopping in retail and wholesale neighborhood markets in Lima remain a major way to supply households. In 2020, the same markets have been identified as hot spots for spreading the COVID-19 disease due to agglomerations. Even if limiting the capacity of markets may be done, the need for grocery shopping remains constant, causing queues, agglomerations, and informal purchasing sites. This study analyzes the determinants of shopping frequency as well as factors that may influence the choice to select city markets as the preferred shopping site. To this end, a survey was conducted in two of the most populous districts of Lima (San Juan de Lurigancho and San Martín de Porres) measuring socio-demographic purchasing characteristics and individual perceptions in validated scales to explain shopping frequency and retail format selection using linear regression and multinomial modeling. The study found that a lower total weight of purchased products, lower number of households with a refrigerator at home, higher perishables consumption, and greater income uncertainty is linked to a higher purchasing frequency at the markets. Similarly, we found that a greater total purchase weight, higher total expenditures on groceries, a greater number of sources of household income, longer travel time to the market, and different modes of transportation, and a greater income receiving frequency are associated with a higher probability of selecting the markets as their main grocery shopping place. We propose strategies to mitigate agglomerations based on our findings without compromising the supplied demand; also, this study seeks to be an initial tool for the estimation of capacity based on the influx of people to the different market formats.
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