Assessing a hierarchical sustainable solid waste management structure with qualitative information: policy and regulations drive social impacts and stakeholder participation

Feng-Ming Tsai; Tat Dat Bui; Ming-Lang Tseng; Ming Lim; Kuo-Jui Wu; Abu Hashan Md  Mashud

doi:10.1016/j.resconrec.2020.105285

Assessing a hierarchical sustainable solid waste management structure with qualitative information: policy and regulations drive social impacts and stakeholder participation

Feng-Ming Tsai, Tat Dat Bui, Ming-Lang Tseng, Ming Lim, Kuo-Jui Wu, Abu Hashan Md Mashud

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Abstract

This study contributes to building a valid hierarchical sustainable solid waste management (SSWM) attribute set with qualitative information, which is a complicated and ambiguous problem with uncertainties. Few studies have provided qualitative information and have addressed the interrelationships and interdependencies among the hierarchical SSWM attributes. SSWM has recently become a difficult problem to solve due to urbanization, inequality, and economic growth. This study aims to propose an SSWM attribute set and identify a causal model through linguistic preferences by using a fuzzy decision-making trial and evaluation laboratory approach to simultaneously handle the uncertainty and the interrelationships. The analytic network process is used to develop the hierarchical structure to weigh the aspects and criteria. Qualitative information is transformed into crisp and comparable values to examine the causal relationships between attributes and confirm the consistency between the theoretical structure and industry phenomena. The results indicate that policy and regulations, stakeholder participation, and social impacts play essential roles in these causal interrelationships. Political leadership in SSWM is required to drive stakeholder participation and achieve social impacts. Population growth and migration, institutional settings, waste recycling and energy recovery, households, and private contractors are the main aspects involved in improving SSWM in Vietnam.

Original language	English
Article number	105285
Journal	Resources, Conservation and Recycling
Volume	168
Early online date	20 Nov 2020
DOIs	https://doi.org/10.1016/j.resconrec.2020.105285
Publication status	Published - May 2021

Bibliographical note

NOTICE: this is the author’s version of a work that was accepted for publication in Resources, Conservation and Recycling. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Resources, Conservation and Recycling, 168, (2021) DOI: 10.1016/j.resconrec.2020.105285

© 2020, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

Funder

This study was partially funded by the Ministry of Science and Technology, Taiwan 108–2221-E-468 −004 -MY2

Keywords

Sustainable solid waste management
Triple bottom line
Solid waste management
Fuzzy set theory
Decision-making trial and evaluation laboratory
Analytic network process

ASJC Scopus subject areas

Waste Management and Disposal
Economics and Econometrics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.resconrec.2020.105285

Post-PrintAccepted author manuscript, 513 KBLicence: CC BY-NC-ND

Cite this

Tsai, F-M., Bui, T. D., Tseng, M-L., Lim, M., Wu, K-J., & Mashud, A. H. M. (2021). Assessing a hierarchical sustainable solid waste management structure with qualitative information: policy and regulations drive social impacts and stakeholder participation. Resources, Conservation and Recycling, 168, Article 105285. Advance online publication. https://doi.org/10.1016/j.resconrec.2020.105285

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abstract = "This study contributes to building a valid hierarchical sustainable solid waste management (SSWM) attribute set with qualitative information, which is a complicated and ambiguous problem with uncertainties. Few studies have provided qualitative information and have addressed the interrelationships and interdependencies among the hierarchical SSWM attributes. SSWM has recently become a difficult problem to solve due to urbanization, inequality, and economic growth. This study aims to propose an SSWM attribute set and identify a causal model through linguistic preferences by using a fuzzy decision-making trial and evaluation laboratory approach to simultaneously handle the uncertainty and the interrelationships. The analytic network process is used to develop the hierarchical structure to weigh the aspects and criteria. Qualitative information is transformed into crisp and comparable values to examine the causal relationships between attributes and confirm the consistency between the theoretical structure and industry phenomena. The results indicate that policy and regulations, stakeholder participation, and social impacts play essential roles in these causal interrelationships. Political leadership in SSWM is required to drive stakeholder participation and achieve social impacts. Population growth and migration, institutional settings, waste recycling and energy recovery, households, and private contractors are the main aspects involved in improving SSWM in Vietnam.",

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author = "Feng-Ming Tsai and Bui, {Tat Dat} and Ming-Lang Tseng and Ming Lim and Kuo-Jui Wu and Mashud, {Abu Hashan Md}",

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AU - Bui, Tat Dat

AU - Tseng, Ming-Lang

AU - Lim, Ming

AU - Wu, Kuo-Jui

AU - Mashud, Abu Hashan Md

N1 - NOTICE: this is the author’s version of a work that was accepted for publication in Resources, Conservation and Recycling. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Resources, Conservation and Recycling, 168, (2021) DOI: 10.1016/j.resconrec.2020.105285 © 2020, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

PY - 2021/5

Y1 - 2021/5

N2 - This study contributes to building a valid hierarchical sustainable solid waste management (SSWM) attribute set with qualitative information, which is a complicated and ambiguous problem with uncertainties. Few studies have provided qualitative information and have addressed the interrelationships and interdependencies among the hierarchical SSWM attributes. SSWM has recently become a difficult problem to solve due to urbanization, inequality, and economic growth. This study aims to propose an SSWM attribute set and identify a causal model through linguistic preferences by using a fuzzy decision-making trial and evaluation laboratory approach to simultaneously handle the uncertainty and the interrelationships. The analytic network process is used to develop the hierarchical structure to weigh the aspects and criteria. Qualitative information is transformed into crisp and comparable values to examine the causal relationships between attributes and confirm the consistency between the theoretical structure and industry phenomena. The results indicate that policy and regulations, stakeholder participation, and social impacts play essential roles in these causal interrelationships. Political leadership in SSWM is required to drive stakeholder participation and achieve social impacts. Population growth and migration, institutional settings, waste recycling and energy recovery, households, and private contractors are the main aspects involved in improving SSWM in Vietnam.

AB - This study contributes to building a valid hierarchical sustainable solid waste management (SSWM) attribute set with qualitative information, which is a complicated and ambiguous problem with uncertainties. Few studies have provided qualitative information and have addressed the interrelationships and interdependencies among the hierarchical SSWM attributes. SSWM has recently become a difficult problem to solve due to urbanization, inequality, and economic growth. This study aims to propose an SSWM attribute set and identify a causal model through linguistic preferences by using a fuzzy decision-making trial and evaluation laboratory approach to simultaneously handle the uncertainty and the interrelationships. The analytic network process is used to develop the hierarchical structure to weigh the aspects and criteria. Qualitative information is transformed into crisp and comparable values to examine the causal relationships between attributes and confirm the consistency between the theoretical structure and industry phenomena. The results indicate that policy and regulations, stakeholder participation, and social impacts play essential roles in these causal interrelationships. Political leadership in SSWM is required to drive stakeholder participation and achieve social impacts. Population growth and migration, institutional settings, waste recycling and energy recovery, households, and private contractors are the main aspects involved in improving SSWM in Vietnam.

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KW - Solid waste management

KW - Fuzzy set theory

KW - Decision-making trial and evaluation laboratory

KW - Analytic network process

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JO - Resources, Conservation and Recycling

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Assessing a hierarchical sustainable solid waste management structure with qualitative information: policy and regulations drive social impacts and stakeholder participation

Abstract

Bibliographical note

Funder

Keywords

ASJC Scopus subject areas

UN SDGs

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