Title |
Consumers' behavior towards electronic wastes from a sustainable development point of view: An exploration of differences between developed and developing countries |
ID_Doc |
18739 |
Authors |
Shahrasbi, A; Shokouhyar, S; Zeidyahyaee, N |
Title |
Consumers' behavior towards electronic wastes from a sustainable development point of view: An exploration of differences between developed and developing countries |
Year |
2021 |
Published |
|
DOI |
10.1016/j.spc.2021.09.016 |
Abstract |
The management and control of waste electrical and electronic equipment have been among the most critical challenges in recent decades. However, the existing electrical and electronic equipment consumption patterns lead to negative consequences for the environment and social and economic aspects. On the other hand, social media has demonstrated itself as an important data source to extract large amounts of information from consumers' opinions. Therefore, an integrated approach of quantitative and qualitative methods (based on Twitter data and analysis of the literature followed by the Delphi method and the Analytic Hierarchy Process is adopted to analyze consumers' participation in electronic waste recycling schemes, from the standpoint of sustainable development, in developed and developing countries. Considering the three pillars of "sustainable development", the findings reveal that in developing countries, the "economic" pillar is of the highest, and the "environmental" aspect is of the least importance, and the "social" is somewhere in between. However, in developed countries, due to higher welfare, the priorities of the dimensions above are different wherein the "environmental" and the "social" pillars are of the higher importance, and the "economic" comes last. Therefore, governments and high-level policy-makers could apply the research findings to develop long-term strategies. (C) 2021 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved. |
Author Keywords |
WEEE; E-recycling; Social media; Twitter text analysis; Topic modeling; Delphi method; AHP approach |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
EID |
WOS:000706839800004 |
WoS Category |
Green & Sustainable Science & Technology; Environmental Studies |
Research Area |
Science & Technology - Other Topics; Environmental Sciences & Ecology |
PDF |
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