A cost-benefit analysis of the downstream impacts of e-waste recycling in Pakistan.

Cost-benefit analysis Economic Electronic waste (e-waste) Pakistan Social Life Cycle Assessment (S-LCA) Social impact

Journal

Waste management (New York, N.Y.)
ISSN: 1879-2456
Titre abrégé: Waste Manag
Pays: United States
ID NLM: 9884362

Informations de publication

Date de publication:
Dec 2020
Historique:
received: 25 06 2020
revised: 26 07 2020
accepted: 23 08 2020
pubmed: 13 9 2020
medline: 21 10 2020
entrez: 12 9 2020
Statut: ppublish

Résumé

This paper presents downstream cost-benefit analysis for electronic waste (e-waste) recycling workers in Pakistan, a country that both generates large quantities of e-waste domestically and imports a significant amount from developed countries. Financial cost-benefit elements - reduction in productive capacity, lost wages, medical expenses, wages (and meals) and non-financial cost-benefit elements - opportunity cost, cost of illiteracy and value of life have been quantified. Primary data collected on site was analyzed using quantitative and qualitative methods. The estimated total net economic cost to recycling workers is between Rs.34,069 and Rs.85,478 (US$ 203-510

Identifiants

pubmed: 32919349
pii: S0956-053X(20)30481-5
doi: 10.1016/j.wasman.2020.08.039
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

302-312

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Salsabil Shaikh (S)

Victoria University Business School (VUBS), Victoria University, Melbourne, Victoria 3000, Australia. Electronic address: Salsabil.shaikh@live.vu.edu.au.

Keith Thomas (K)

Victoria University Business School (VUBS), Victoria University, Melbourne, Victoria 3000, Australia.

Segu Zuhair (S)

Victoria University Business School (VUBS), Victoria University, Melbourne, Victoria 3000, Australia; Department of Business, Management and Finance, Melbourne Polytechnic, Melbourne, Victoria 3072, Australia.

Federico Magalini (F)

Sofies, Woking GU21 6HR, United Kingdom.

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Classifications MeSH