Assessing the economic performance of an environmental sustainable supply chain in reducing environmental externalities

2.50
Hdl Handle:
http://hdl.handle.net/2436/620323
Title:
Assessing the economic performance of an environmental sustainable supply chain in reducing environmental externalities
Authors:
Ding, Huiping; Liu, Qian; Zheng, Lucy
Abstract:
This study investigates the mechanism that motivates supply chain firms to reduce environmental externalities while balancing the economic feasibility of the supply chain system under environmentally constrained circumstances in a competitive market. Taking government policy incentives into account, a quantitative model of an integrated supply chain that incorporates sustainable constraints is formulated to optimize supply chain firms’ operational strategies of producing environmental friendly products (EFPs). This study contributes to the literature with a better understanding the interplay and interrelation of multiple sustainable constraints and their impact on supply chain firms’ collaborative decisions. Our findings suggest that the decisions of operating EFPs are subject to sustainable constraints and that the government policy incentives play a dominant role overseeing supply chain firms’ environmental behaviors toward sustainability.
Citation:
Assessing the economic performance of an environmental sustainable supply chain in reducing environmental externalities 2016, 255 (2):463 European Journal of Operational Research
Publisher:
Elsevier
Journal:
European Journal of Operational Research
Issue Date:
Dec-2016
URI:
http://hdl.handle.net/2436/620323
DOI:
10.1016/j.ejor.2016.05.003
Additional Links:
http://linkinghub.elsevier.com/retrieve/pii/S0377221716303058
Type:
Article
Language:
en
ISSN:
0377-2217
Appears in Collections:
FOSS

Full metadata record

DC FieldValue Language
dc.contributor.authorDing, Huipingen
dc.contributor.authorLiu, Qianen
dc.contributor.authorZheng, Lucyen
dc.date.accessioned2016-12-23T15:06:45Z-
dc.date.available2016-12-23T15:06:45Z-
dc.date.issued2016-12-
dc.identifier.citationAssessing the economic performance of an environmental sustainable supply chain in reducing environmental externalities 2016, 255 (2):463 European Journal of Operational Researchen
dc.identifier.issn0377-2217en
dc.identifier.doi10.1016/j.ejor.2016.05.003-
dc.identifier.urihttp://hdl.handle.net/2436/620323-
dc.description.abstractThis study investigates the mechanism that motivates supply chain firms to reduce environmental externalities while balancing the economic feasibility of the supply chain system under environmentally constrained circumstances in a competitive market. Taking government policy incentives into account, a quantitative model of an integrated supply chain that incorporates sustainable constraints is formulated to optimize supply chain firms’ operational strategies of producing environmental friendly products (EFPs). This study contributes to the literature with a better understanding the interplay and interrelation of multiple sustainable constraints and their impact on supply chain firms’ collaborative decisions. Our findings suggest that the decisions of operating EFPs are subject to sustainable constraints and that the government policy incentives play a dominant role overseeing supply chain firms’ environmental behaviors toward sustainability.en
dc.language.isoenen
dc.publisherElsevieren
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S0377221716303058en
dc.rightsArchived with thanks to European Journal of Operational Researchen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectSustainable supply chainen
dc.subjectEnvironmental externalityen
dc.subjectSustainable constrainten
dc.subjectEnvironmental friendly productsen
dc.subjectStakeholdersen
dc.titleAssessing the economic performance of an environmental sustainable supply chain in reducing environmental externalitiesen
dc.typeArticleen
dc.identifier.journalEuropean Journal of Operational Researchen
dc.date.accepted2016-05-
rioxxterms.funderInternalen
rioxxterms.identifier.projectUoW231216LZen
rioxxterms.versionAMen
rioxxterms.licenseref.urihttps://creativecommons.org/CC BY-NC-ND 4.0en
rioxxterms.licenseref.startdate2019-01-01en
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