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

    Research output: Contribution to journalArticlepeer-review

    5 Citations (Scopus)

    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 languageEnglish
    Article number105285
    JournalResources, Conservation and Recycling
    Volume168
    Early online date20 Nov 2020
    DOIs
    Publication statusPublished - May 2021

    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

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