Issue |
E3S Web of Conf.
Volume 452, 2023
XV International Online Conference “Improving Farming Productivity and Agroecology – Ecosystem Restoration” (IPFA 2023)
|
|
---|---|---|
Article Number | 05002 | |
Number of page(s) | 12 | |
Section | Ecological Restoration Management and Green | |
DOI | https://doi.org/10.1051/e3sconf/202345205002 | |
Published online | 30 November 2023 |
Managerial approaches to handle electronic waste: Sustainable e-waste management and recycling initiatives
Faculty of Management Science, Suan Sunandha Rajabhat University, 1 U Thong Nok rd., Dusit, 10300 Bangkok, Thailand
* Corresponding author: praphatsara.wa@ssru.ac.th
Leveraging the power of a quantitative approach, this study navigates the complex web of e-waste dynamics. E-waste generation rates, recycling rates, and composition intricately shape the e-waste landscape in Asia. Through the meticulous collection of data using Google Forms, respondents across four different countries in Asia contribute their perspectives, making this research a true cross-cultural exploration. The findings, distilled through robust statistical analysis using SPSS, highlight the nuanced correlations that dictate the e-waste management paradigm. The Pearson Correlations table underscores the significant associations between e-waste generation rates, recycling rates, composition, and recycling sustainability. The linkages unveiled through this analysis provide a comprehensive understanding of how these factors interact within the Asian context, guiding the formulation of effective e-waste management strategies. Furthermore, the regression analysis validates the hypotheses, showcasing the impact of e-waste generation rates, recycling rates, and composition on e-waste recycling sustainability. The quantitative methodology employed unveils the intricate relationships, their strengths, and significance levels, contributing to a richer comprehension of e-waste management dynamics in Asia.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.