Literature DB >> 27020343

The declared barriers of the large developing countries waste management projects: The STAR model.

André Luiz Bufoni1, Luciano Basto Oliveira2, Luiz Pinguelli Rosa3.   

Abstract

The aim of this study is to investigate and describe the barriers system that precludes the feasibility, or limits the performance of the waste management projects through the analysis of which are the declared barriers at the 432 large waste management projects registered as CDM during the period 2004-2014. The final product is a waste management barriers conceptual model proposal (STAR), supported by literature and corroborated by projects design documents. This paper uses the computer assisted qualitative content analysis (CAQCA) methodology with the qualitative data analysis (QDA) software NVivo®, by 890 fragments, to investigate the motives to support our conclusions. Results suggest the main barriers classification in five types: sociopolitical, technological, regulatory, financial, and human resources constraints. Results also suggest that beyond the waste management industry, projects have disadvantages added related to the same barriers inherent to others renewable energies initiatives. The STAR model sheds some light over the interactivity and dynamics related to the main constraints of the industry, describing the mutual influences and relationships among each one. Future researches are needed to better and comprehensively understand these relationships and ease the development of tools to alleviate or eliminate them.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Barriers; CDM; Model; RES; STAR; WM

Mesh:

Year:  2016        PMID: 27020343     DOI: 10.1016/j.wasman.2016.03.023

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  2 in total

1.  Waste management CDM projects barriers NVivo 10® qualitative dataset.

Authors:  André Luiz Bufoni; Aracéli Cristina de Sousa Ferreira; Luciano Basto Oliveira
Journal:  Data Brief       Date:  2017-10-10

2.  Understanding barriers and motivations in solid waste management from Malaysian industries: a comparative analysis.

Authors:  Mansoor Ahmed Soomro; Mohd Helmi Ali; Suhaiza Zailani; Ming-Lang Tseng; Zafir Mohd Makhbul
Journal:  Environ Sci Pollut Res Int       Date:  2022-08-18       Impact factor: 5.190

  2 in total

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