Prospective of the circular economy in a banana agri-food chain

Pola Mary Silva-Alvarado (), Erik Orozco-Crespo (), Douglas Andrés Verduga-Alcívar (), Karel Diéguez-Santana (), Sebastiana del Monserrate Ruiz-Cedeño () and Neyfe Sablón-Cossío ()
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Pola Mary Silva-Alvarado: Universidad Técnica de Manabí, Ecuador
Erik Orozco-Crespo: Universidad Técnica de Manabí, Ecuador
Douglas Andrés Verduga-Alcívar: Universidad Técnica de Manabí, Ecuador
Karel Diéguez-Santana: Universidad Regional Amazónica Ikiam, Ecuador
Sebastiana del Monserrate Ruiz-Cedeño: Universidad Técnica de Manabí, Ecuador
Neyfe Sablón-Cossío: Universidad Técnica de Manabí, Ecuador

TEC Empresarial, 2023, vol. 17, issue 1, 34-52

Abstract: The circular economy (CE) has been adopted as an alternative to the linear economic model, since it transforms the way products are designed and consumed. Agri-food chains are key to ensuring the transition to a sustainable development model in line with the principles of CE. This study sought to implement the concepts of circular economy at the Ecuador's banana production chain, through the design of prospective from the exhaustive diagnosis of the main processes of the chain. The research was conducted from 2020 to 2022. The studied checklist included 91 items grouped into nine dimensions: source or supply of materials, design, manufacturing, economic circle, distribution and sales, consumption and use, 4R, re-manufacturing, and sustainability. A medium circular economy level (CEL) was evaluated (2.69 points out of 5). Two machine learning techniques (MLTs) were also applied support vector machine (SVM), (with three types of kernel: radial, linear and polynomial) and a neural network (NN). In relation to the Spearman correlation coefficients of the application of the techniques to the study cases, they were higher than 0.90. The most reliable was the SVM Regression-Linear Kernel, which had a coefficient close to 1. Finally, various value-adding options are proposed in order to take advantage of the large amount of waste generated in the banana production system. The proposed options include value-augmentation processes, ranging from organic fertilizers, biofuels, materials for wastewater treatment, and the production of bioplastics and nanoparticles, which can be implemented using the CE approach

Keywords: Agri-food chain; circular economy; machine learning; sustainability (search for similar items in EconPapers)
Date: 2023
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