北达沃地方政府单位固体废物分流模式

Marie Antonette Paña-Tautho , Diego Bangoy Tautho , Dana Gabrielle Tautho
{"title":"北达沃地方政府单位固体废物分流模式","authors":"Marie Antonette Paña-Tautho ,&nbsp;Diego Bangoy Tautho ,&nbsp;Dana Gabrielle Tautho","doi":"10.1016/j.wmb.2025.100224","DOIUrl":null,"url":null,"abstract":"<div><div>This study examined the dimensions of solid waste diversion and developed a validated measurement model for local government units in Davao del Norte. Employing an exploratory sequential mixed-method design, the study engaged Municipal Environmental Resource Officers, Barangay Captains, and Solid Waste Management Focal Persons as respondents. Through Exploratory Factor Analysis (EFA), seven key factors were identified—waste characterization, management fees and penalties, incentives and reward schemes, enabling government policies, infrastructure for resource recovery, awareness campaigns, and logistical support—which collectively explained 65.14% of the total variance. All factors showed high reliability, with Cronbach’s alpha values exceeding 0.70, and were largely independent based on factor correlations.</div><div>Subsequently, Confirmatory Factor Analysis (CFA) determined Model 3 as the best-fitting model. The model was refined by correlating error terms of selected items (Items 2, 4, 11, 15, 17, and 19), significantly enhancing the fit indices. The final model achieved strong statistical indicators: RMSEA = 0.026 (p-close &gt; 0.05), NFI = 0.924, TLI = 0.937, CFI = 0.919, and χ<sup>2</sup>/df = 1.324 (p = 0.062). Model parsimony was also supported by reduced forecasting errors with AIC = 1312.430 and BIC = 1142.005. The findings offer a robust framework for measuring and enhancing waste diversion performance at the local level.</div></div>","PeriodicalId":101276,"journal":{"name":"Waste Management Bulletin","volume":"3 3","pages":"Article 100224"},"PeriodicalIF":0.0000,"publicationDate":"2025-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Solid waste diversion model for the local government units in Davao del Norte\",\"authors\":\"Marie Antonette Paña-Tautho ,&nbsp;Diego Bangoy Tautho ,&nbsp;Dana Gabrielle Tautho\",\"doi\":\"10.1016/j.wmb.2025.100224\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study examined the dimensions of solid waste diversion and developed a validated measurement model for local government units in Davao del Norte. Employing an exploratory sequential mixed-method design, the study engaged Municipal Environmental Resource Officers, Barangay Captains, and Solid Waste Management Focal Persons as respondents. Through Exploratory Factor Analysis (EFA), seven key factors were identified—waste characterization, management fees and penalties, incentives and reward schemes, enabling government policies, infrastructure for resource recovery, awareness campaigns, and logistical support—which collectively explained 65.14% of the total variance. All factors showed high reliability, with Cronbach’s alpha values exceeding 0.70, and were largely independent based on factor correlations.</div><div>Subsequently, Confirmatory Factor Analysis (CFA) determined Model 3 as the best-fitting model. The model was refined by correlating error terms of selected items (Items 2, 4, 11, 15, 17, and 19), significantly enhancing the fit indices. The final model achieved strong statistical indicators: RMSEA = 0.026 (p-close &gt; 0.05), NFI = 0.924, TLI = 0.937, CFI = 0.919, and χ<sup>2</sup>/df = 1.324 (p = 0.062). Model parsimony was also supported by reduced forecasting errors with AIC = 1312.430 and BIC = 1142.005. The findings offer a robust framework for measuring and enhancing waste diversion performance at the local level.</div></div>\",\"PeriodicalId\":101276,\"journal\":{\"name\":\"Waste Management Bulletin\",\"volume\":\"3 3\",\"pages\":\"Article 100224\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Waste Management Bulletin\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2949750725000537\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Waste Management Bulletin","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949750725000537","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本研究考察了固体废物转移的维度,并为达沃北部的地方政府单位开发了一个有效的测量模型。该研究采用探索性顺序混合方法设计,调查对象包括市环境资源官员、村长和固体废物管理联络人。通过探索性因素分析(EFA),确定了七个关键因素——废物特性、管理费用和处罚、激励和奖励方案、有利的政府政策、资源回收基础设施、宣传活动和后勤支持——这些因素共同解释了总差异的65.14%。各因子均具有较高的信度,Cronbach’s alpha值均超过0.70,且各因子之间的相关性基本独立。随后,验证性因子分析(Confirmatory Factor Analysis, CFA)确定模型3为最佳拟合模型。通过对所选项目(项目2、4、11、15、17和19)的误差项进行关联,对模型进行细化,显著提高了拟合指标。最终模型取得了较强的统计指标:RMSEA = 0.026 (p接近 >; 0.05),NFI = 0.924, TLI = 0.937, CFI = 0.919, χ2/df = 1.324 (p = 0.062)。AIC = 1312.430, BIC = 1142.005的预测误差减小,也支持了模型的简约性。研究结果为在地方层面衡量和提高废物转移绩效提供了一个强有力的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Solid waste diversion model for the local government units in Davao del Norte
This study examined the dimensions of solid waste diversion and developed a validated measurement model for local government units in Davao del Norte. Employing an exploratory sequential mixed-method design, the study engaged Municipal Environmental Resource Officers, Barangay Captains, and Solid Waste Management Focal Persons as respondents. Through Exploratory Factor Analysis (EFA), seven key factors were identified—waste characterization, management fees and penalties, incentives and reward schemes, enabling government policies, infrastructure for resource recovery, awareness campaigns, and logistical support—which collectively explained 65.14% of the total variance. All factors showed high reliability, with Cronbach’s alpha values exceeding 0.70, and were largely independent based on factor correlations.
Subsequently, Confirmatory Factor Analysis (CFA) determined Model 3 as the best-fitting model. The model was refined by correlating error terms of selected items (Items 2, 4, 11, 15, 17, and 19), significantly enhancing the fit indices. The final model achieved strong statistical indicators: RMSEA = 0.026 (p-close > 0.05), NFI = 0.924, TLI = 0.937, CFI = 0.919, and χ2/df = 1.324 (p = 0.062). Model parsimony was also supported by reduced forecasting errors with AIC = 1312.430 and BIC = 1142.005. The findings offer a robust framework for measuring and enhancing waste diversion performance at the local level.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信