Junk food consumer profile and behavior: a case study on the colombian population
People's consumption patterns, alimentary security, and alimentary sovereignty are becoming increasingly relevant as the epidemics of different diseases exhibit comorbidity with overweightness and other junk food-fostered medical conditions. Thus, governments and health-monitoring organizations...
- Autores:
-
Antequera-Jiménez, Anthony
Pineda-Martínez, Oscar
Portnoy, Ivan
Troncoso Palacio, Alexander
Verdeza, Arnaldo
Espinosa, José
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2024
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/10700
- Acceso en línea:
- https://hdl.handle.net/11323/10700
https://repositorio.cuc.edu.co/
- Palabra clave:
- Price elasticity
System simulation
Mon-linear regression
Socioeconomic level
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
| Summary: | People's consumption patterns, alimentary security, and alimentary sovereignty are becoming increasingly relevant as the epidemics of different diseases exhibit comorbidity with overweightness and other junk food-fostered medical conditions. Thus, governments and health-monitoring organizations have proposed and promoted strategies to mitigate the future health consequences of low-nutritional value food intake. In this research, we propose a model-based methodology to assess the effects of discouraging junk food intake (via price rising) on the customers' consumption patterns, separating the population by socioeconomic level and analyzing their price elasticity curves. A simulation model in ARENA® recreates the junk food buying patterns after price rises for a user-defined restaurant/stall setting. Further, non-linear regression models fit the price elasticity curves (discriminated by socioeconomic level). The main contribution of this work is to discriminate the elasticity curves by income level and provide a non-linear approach to fit them. The outcomes indicate that the higher the customers’ income, the less susceptible they are to price changes, i.e., the less elastic the yielded curve is. Finally, future research could focus on assessing the effects of reducing prices on customers' buying behavior and discussing the health-related consequences of the observed outcomes. |
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