{"title":"Model development of community-based willingness to recycle for urban mining","authors":"Rahmat Nurcahyo , Nurhadi Wibowo , Djoko Sihono Gabriel , Bertha Maya Sopha , Azanizawati Ma'aram","doi":"10.1016/j.clet.2024.100732","DOIUrl":null,"url":null,"abstract":"<div><p>Electronic waste (e-waste) is a significant worldwide problem intensified by the increasing number of users and the quick pace of technical improvements. In addition to its environmental implications, e-waste has economic prospects. The present research addresses the urgent need for a comprehensive framework incorporating community interaction within the context of e-waste management. The Community-Based Willingness to Recycle (CWTR) concept underscores the significant contribution of community engagement in promoting sustainable practices for e-waste and many aspects that influence the process. The variables include dumping e-waste at specified locations, recognizing the advantages of recycling, and adhering to societal norms. These elements are pivotal in influencing governments' formulation of recycling regulations. The CWTR model is vital in mobilizing community backing for recycling efforts. This support is impacted by various variables, including views of community behavior control, understanding of the hazards associated with e-waste, environmentally concerned attitudes, and perceived advantages. The adjusted R<sup>2</sup> value of the model, which stands at 39.5%, indicates a modest explanatory power, as it can explain 39.5% of the observed variance. In addition, the model's fitness, as shown by a score of 0.783, signifies its appropriateness for real-world implementation. This study adopts a quantitative methodology, using surveys and secondary data analysis to enhance theoretical frameworks and practical implications. The literature assessment conducted in this study aims to identify gaps in existing research, therefore providing a robust theoretical framework. The CWTR model facilitates implementing sustainable e-waste management practices within local communities and enriches the existing body of theoretical knowledge in engineering science. This study represents a significant advancement in sustainable e-waste management, potentially revolutionizing practical approaches for improving communities and the environment.</p></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":5.3000,"publicationDate":"2024-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666790824000120/pdfft?md5=66405f36e355f5d0741beb9aa8cd2063&pid=1-s2.0-S2666790824000120-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cleaner Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666790824000120","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Electronic waste (e-waste) is a significant worldwide problem intensified by the increasing number of users and the quick pace of technical improvements. In addition to its environmental implications, e-waste has economic prospects. The present research addresses the urgent need for a comprehensive framework incorporating community interaction within the context of e-waste management. The Community-Based Willingness to Recycle (CWTR) concept underscores the significant contribution of community engagement in promoting sustainable practices for e-waste and many aspects that influence the process. The variables include dumping e-waste at specified locations, recognizing the advantages of recycling, and adhering to societal norms. These elements are pivotal in influencing governments' formulation of recycling regulations. The CWTR model is vital in mobilizing community backing for recycling efforts. This support is impacted by various variables, including views of community behavior control, understanding of the hazards associated with e-waste, environmentally concerned attitudes, and perceived advantages. The adjusted R2 value of the model, which stands at 39.5%, indicates a modest explanatory power, as it can explain 39.5% of the observed variance. In addition, the model's fitness, as shown by a score of 0.783, signifies its appropriateness for real-world implementation. This study adopts a quantitative methodology, using surveys and secondary data analysis to enhance theoretical frameworks and practical implications. The literature assessment conducted in this study aims to identify gaps in existing research, therefore providing a robust theoretical framework. The CWTR model facilitates implementing sustainable e-waste management practices within local communities and enriches the existing body of theoretical knowledge in engineering science. This study represents a significant advancement in sustainable e-waste management, potentially revolutionizing practical approaches for improving communities and the environment.
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