Menezes Pereira, Lucas, Sanchez Rodrigues, Vasco ORCID: https://orcid.org/0000-0003-3375-3079 and Freires, Francisco G. M. 2024. Use of Partial Least Squares Structural Equation Modeling (PLS-SEM) to improve plastic waste management. Applied Sciences 14 (2) , 628. 10.3390/app14020628 |
PDF
- Published Version
Available under License Creative Commons Attribution. Download (3MB) |
Abstract
This paper aims to use Partial Least Square Structural Equation Modeling (PLS-SEM) to suggest improvements for increasing the performance of plastic waste management in Salvador, the third most populated Brazilian city, in a country that keeps open dumps as the destination of most of the Municipal Solid Waste (MSW). To achieve the objective, it was necessary a literature review of successful cases from countries and an analysis of the local market. The data collection concerns plastics recycling and profiles of waste management companies. There was also: elaboration and delivery of a survey to the academic and professional public; analysis via software of the data collected; and suggestions regarding plastics recycling rate, market maturity of this kind of waste, and socioeconomic and infrastructural aspects for optimized reverse logistics performance (effectiveness with efficiency). Thus, it must achieve more profitability in reducing waste in inadequate spots and feeding socio-environmental entrepreneurship for the benefit of the Circular Economy. The coefficients of determination, outer loadings, outer weights, collinearity statistics, and bootstrapping values were measured. They suggested that the model is regular for recommending improvements.
Item Type: | Article |
---|---|
Date Type: | Publication |
Status: | Published |
Schools: | Business (Including Economics) |
Subjects: | H Social Sciences > H Social Sciences (General) H Social Sciences > HE Transportation and Communications |
Publisher: | Balcan Society of Geometers |
ISSN: | 1454-5101 |
Date of First Compliant Deposit: | 12 December 2023 |
Date of Acceptance: | 8 January 2024 |
Last Modified: | 01 Feb 2024 11:45 |
URI: | https://orca.cardiff.ac.uk/id/eprint/164740 |
Actions (repository staff only)
Edit Item |