Tsai, F.-M., Dat Bui, T., Tseng, M.-L., Lim, M. K. , Wu, K.-J. and 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, 105285. (doi: 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.
| Item Type: | Articles |
|---|---|
| Additional Information: | 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. |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Lim, Professor Ming |
| Authors: | Tsai, F.-M., Dat Bui, T., Tseng, M.-L., Lim, M. K., Wu, K.-J., and Mashud, A. H. M. |
| College/School: | College of Social Sciences > Adam Smith Business School > Management |
| Journal Name: | Resources, Conservation and Recycling |
| Publisher: | Elsevier |
| ISSN: | 0921-3449 |
| ISSN (Online): | 1879-0658 |
| Published Online: | 20 November 2020 |
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