Metabolismo Socioeconômico Urbano: Especificação De Modelos Estruturados De Pneus Em Fim De Vida

Bittencourt, Euclides Santos; Fontes, Cristiano Hora; Filho, Salvador Ávila; Ferreira, Adonias Magdiel Silva; Rodríguez, Jorge Laureano Moya

doi:10.14488/enegep2018_tn_sto_266_528_35328

Cited by 2 publications

(3 citation statements)

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“…Partial Least Squares Structural Equation Modeling (PLS-SEM) is a robust statistical method that facilitates the examination of hypothetical relationships between factors even in complex models [19,20]. PLS-SEM can be employed even when the collected data do not exhibit a normal (Gaussian) distribution and when the sample size is small (n < 100) [21].…”

Section: The Choice Of the Pls-sem Methods For Statistical Modelingmentioning

confidence: 99%

“…H1: Efficiency positively influences performance [6,24] H2: Effectiveness positively influences performance [24,25] H3: Municipality's socioeconomic aspects positively influence performance [21,26,27] H4: Municipality's infrastructure positively influences performance [28,29] A brief description of the hypotheses is provided below. H1: By optimizing collection networks, and recovering value, efficiency is achieved.…”

Section: Hypothesis Basismentioning

confidence: 99%

“…H3: Socioeconomic aspects comprise not only income and consumption expenseswhich are positively correlated with waste generation-but also the Gross Domestic Product (GDP) [21]. Also, there is a relationship between the growth of the GDP and the increase in the generation of recyclable MSW [26,27].…”

Section: Hypothesis Basismentioning

confidence: 99%

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Use of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Improve Plastic Waste Management

Pereira,

Sanchez Rodrigues,

Freires

2024

Applied Sciences

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This paper aims to propose improvements to plastic waste management performance via Partial Least Squares Structural Equation Modeling (PLS-SEM) using a survey’s structured questionnaire and hypothesis testing. The methodology has been applied to the metropolis of Salvador, Brazil’s third most populated city, although it can be used for other cities worldwide. All the indicators, constructs, and hypotheses concerning collection, sorting, and recycling came from a literature review. The dependence of the performance on efficiency, effectiveness, the municipality’s socioeconomic aspects, and the municipality’s infrastructure was evaluated, and both academic and practitioner public representatives were surveyed. Since almost double the minimum number of respondents answered the questionnaire and the PLS-SEM statistics showed that the modeling presents consistency, the discussion is relevant. The final results show that the respondents rated the volume of processing to be slightly more significant than the market maturity for the effectiveness of plastic waste management, which in turn contributes to performance. Once the positive influence of the municipality’s infrastructure on performance has also been verified, the Deposit-Return Systems (DRSs) should be considered for improvement, in addition to an increase in the availability of selective collection systems, contributing to the growth of both the recycling rate and business profitability, reflections of performance.

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Section: The Choice Of the Pls-sem Methods For Statistical Modelingmentioning

confidence: 99%

Section: Hypothesis Basismentioning

confidence: 99%

See 1 more Smart Citation

Use of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Improve Plastic Waste Management

Pereira,

Sanchez Rodrigues,

Freires

2024

Applied Sciences

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Use of Partial Least Squares Structural Equation Modeling (PLS-SEM) to improve Plastic Waste Management

Pereira,

Sanchez Rodrigues,

Freires

2023

Preprint

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This paper aims to propose improvements for plastic waste management in Salvador – the Brazilian third most populated metropolis – via Partial Least Squares Structural Equation Modeling (PLS-SEM). All indicators, constructs, and hypotheses regarding collection, sorting, recycling, and disposal in the proposed PLS model were derived from the literature review, and the dependence of the performance construct on efficiency, effectiveness, municipality's socioeconomic aspects and municipality infrastructure is evaluated. Academic and practitioner publics were surveyed, and after analysis in both SmartPLS and RStudio software, suggestions for improvement regarding plastics recycling rate, market maturity, and infrastructural aspects for optimized reverse logistics were made. Since almost double the minimum number of respondents answered the survey questionnaire and the PLS-SEM statistics showed that the modeling presents consistency, the discussion is relevant. The model can and will evolve, but examples of suggested improvement are the installation of Deposit-Return Systems (DRS) in parks, streets, and avenues for increasing selective collection and the direct purchasing of waste from residents by municipal administration, compensating them with vouchers for food. The model can be a basis for other cities worldwide sharing analogous characteristics. By considering it, organizations can contribute to both reduced Greenhouse Gas (GHG) emissions and reduced terrestrial pollution.

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Metabolismo Socioeconômico Urbano: Especificação De Modelos Estruturados De Pneus Em Fim De Vida

Cited by 2 publications

References 0 publications

Use of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Improve Plastic Waste Management

Use of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Improve Plastic Waste Management

Use of Partial Least Squares Structural Equation Modeling (PLS-SEM) to improve Plastic Waste Management

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