Predicting waste management behaviors using an extended theory of reasoned action model

Alvin Patrick M. Valentin, Phoemela Bianca S.D. Bonifacio, Sofia Isabel Corinne O. Castro, Jerica Charity A. Ruiz, Talisha Isabella L. Sy, Elmer Lewis O. Trinidad
{"title":"Predicting waste management behaviors using an extended theory of reasoned action model","authors":"Alvin Patrick M. Valentin,&nbsp;Phoemela Bianca S.D. Bonifacio,&nbsp;Sofia Isabel Corinne O. Castro,&nbsp;Jerica Charity A. Ruiz,&nbsp;Talisha Isabella L. Sy,&nbsp;Elmer Lewis O. Trinidad","doi":"10.1016/j.clwas.2024.100193","DOIUrl":null,"url":null,"abstract":"<div><div>Rapid urbanization has resulted in a significant increase in the amount of waste generated, which threatens the health and safety of millions of people worldwide. For our cities to become environmentally sustainable, proper waste management has become essential. A major source of pollution resulting from improper waste management are developing countries, such as the Philippines which is a top contributor to plastic wastes in oceans. Existing studies in this context focus on the effectiveness of specific waste management programs, and there is an opportunity to extend theories to improve our understanding of the waste management behaviors of households. Using an extended theory of reasoned action model that includes attitudes toward urban environmental sustainability, knowledge of urban environmental sustainability, and knowledge of waste management, this study predicted people’s waste management behaviors and their behavioral change factors in the study area. Results of regression analyses showed that attitudes and knowledge toward urban environmental sustainability predicted attitudes toward waste management. Results also showed that knowledge of urban environmental sustainability predicted knowledge of waste management. Moreover, attitudes toward waste management, subjective norms, and knowledge of waste management predicted intentions toward waste management. Finally, intentions toward waste management predicted waste management behavior. These findings empirically support the extended model, showing that the inclusion of urban environmental sustainability and knowledge-related factors can improve the prediction of waste management behaviors using the theory of reasoned action. These findings inform policymakers in crafting policies that will promote waste management behaviors to combat the negative consequences of urbanization.</div></div>","PeriodicalId":100256,"journal":{"name":"Cleaner Waste Systems","volume":"9 ","pages":"Article 100193"},"PeriodicalIF":0.0000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cleaner Waste Systems","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772912524000666","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Rapid urbanization has resulted in a significant increase in the amount of waste generated, which threatens the health and safety of millions of people worldwide. For our cities to become environmentally sustainable, proper waste management has become essential. A major source of pollution resulting from improper waste management are developing countries, such as the Philippines which is a top contributor to plastic wastes in oceans. Existing studies in this context focus on the effectiveness of specific waste management programs, and there is an opportunity to extend theories to improve our understanding of the waste management behaviors of households. Using an extended theory of reasoned action model that includes attitudes toward urban environmental sustainability, knowledge of urban environmental sustainability, and knowledge of waste management, this study predicted people’s waste management behaviors and their behavioral change factors in the study area. Results of regression analyses showed that attitudes and knowledge toward urban environmental sustainability predicted attitudes toward waste management. Results also showed that knowledge of urban environmental sustainability predicted knowledge of waste management. Moreover, attitudes toward waste management, subjective norms, and knowledge of waste management predicted intentions toward waste management. Finally, intentions toward waste management predicted waste management behavior. These findings empirically support the extended model, showing that the inclusion of urban environmental sustainability and knowledge-related factors can improve the prediction of waste management behaviors using the theory of reasoned action. These findings inform policymakers in crafting policies that will promote waste management behaviors to combat the negative consequences of urbanization.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
2.60
自引率
0.00%
发文量
0
期刊最新文献
Experimental evaluation on the cyclic behavior of reclaimed asphalt pavement (RAP) as railway tracks subballast Recent advances in urban mining technology: A focus on electronic waste recycling potential in Indonesia Assessing the combustion behaviors and kinetics of municipal solid waste in Malang City, Indonesia: Parametric analysis for sustainable energy nexus Optimizing Green Lean Six Sigma using Industry 5.0 technologies Multifunctional carbonaceous materials derived from tea waste: Towards sustainable solutions for wastewater treatment and hydrogen evolution
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1