Evidence map›Paper›PMID 37942705›Full record

ArticleScience progress

Analysis of the influence of the COVID-19 outbreak on household solid waste management: An empirical study using PLS-SEM.

Pablo Ponce, Nathalie Aguirre-Padilla, María Orellana-Jimbo, Jhohana Larrea-Silva, Verónica Cabrera-Gonzalez

Abstract read
In one paragraph

Article in Science progress. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Pablo PonceCarrera de Economía and Centro de Investigaciones Sociales y Económicas, Universidad Nacional de Loja, Loja, Ecuador.ORCID 0000-0003-2717-0176
Nathalie Aguirre-PadillaCarrera de Agronegocios, Universidad Técnica Particular de Loja, Loja, Ecuador.
María Orellana-JimboCarrera de Economía, Universidad Técnica Particular de Loja, Loja, Ecuador.
Jhohana Larrea-SilvaCarrera de Turismo, Universidad Nacional de Loja, Loja, Ecuador.
Verónica Cabrera-GonzalezCarrera de Contabilidad y Auditoría, Universidad Nacional de Loja, Loja, Ecuador.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global increase in solid waste pollution due to economic growth and population growth has led to severe ecological deterioration. This situation is exacerbated by the ongoing coronavirus disease (COVID-19) pandemic, which has significantly impacted consumer behavior and consumption habits. Proper management of solid waste has thus become critical in mitigating environmental degradation. In this study, we aim to examine the relationship between the outbreak of COVID-19, environmental attitudes (EATT), social norms (SN), environmental knowledge (EK), technological innovation (TI), and solid waste management (SWM) in Ecuadorian households during the pandemic. We collected data from 426 households in Ecuador using an online questionnaire and analyzed it using the Partial Least Squares Structural Equation Model method to test the hypotheses. Likewise, we validated the measurement and structural model. The results are novel about SWM, considering a developing country severely affected during the pandemic. Our findings suggest that COVID-19 has a negative impact on SWM, while EATT, SN, and TI have a positive influence on SWM. However, we found that EK does not significantly affect SWM.

Indexed as

COVID-19Waste ManagementHumansPandemicsSolid WasteSurveys and QuestionnairesSolid WasteCOVID-19solid waste managementstructural equations modelsustainable behaviortechnological innovation

Identifiers

PMID37942705
PMCPMC10637176

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.