Evidence map›Paper›PMID 37707632›Full record

ArticleEnvironmental monitoring and assessment2023

Assessing Household's Municipal Waste Segregation Intentions in Metropolitan Cities of Pakistan: A Structural Equation Modeling Approach.

Tanzila Akmal, Faisal Jamil, Muhammad Haseeb Raza, Cosimo Magazzino, Babar Hussain

Abstract read
In one paragraph

Article in Environmental monitoring and assessment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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.

Tanzila AkmalNational Business School, The University of Faisalabad, Faisalabad, Pakistan.
Faisal JamilSchool of Social Sciences and Humanities, National University of Sciences and Technology (NUST) Islamabad, Islamabad, Pakistan.
Muhammad Haseeb RazaDepartment of Agribusiness & Applied Economics, MNS University of Agriculture, Multan, Pakistan.
Cosimo MagazzinoDepartment of Political Science, Roma Tre University, Rome, Italy. cosimo.magazzino@uniroma3.it.
Babar HussainInternational Islamic University, Islamabad, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a growing concern about inappropriate waste disposal and its negative impact on human health and the environment. The objective of this study is to understand household waste segregation intention considering psychological, institutional, and situational factors simultaneously. Insights into the motivations of household waste segregation drivers may assist in a better knowledge of how to pursue the most efficient and effective initiatives. For this purpose, data from a representative sample comprising 849 households is obtained from the twin cities of Islamabad and Rawalpindi (Pakistan). The empirical analysis employs a Structural Equation Modeling (SEM) approach, showing that policy instruments have significant direct and indirect impacts on households' segregation intentions. The results highlight that government policy instruments strengthen personal and perceived norms for waste segregation intentions, resulting in an external intervention that would encourage intrinsic motivation. Therefore, policy actions become the main entry point for initiating waste segregation behavior. Public policy must continue to emphasize waste segregation since it may help resource recovery. This is imperative because the environment is a shared resource, and its conservation increases social welfare.

Indexed as

Environmental MonitoringIntentionCitiesHumansLatent Class AnalysisPakistanPublic PolicyHousehold waste managementInstitutional factorsPakistanSegregation intentionsSituational factorsSocio-psychological aspectsStructural Equation Modeling

Identifiers

PMID37707632
PMCPMC10501939

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Registered trials

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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.