废物管理清洁发展机制项目障碍NVivo 10®定性数据集
Waste management CDM projects barriers NVivo 10® qualitative dataset.
作者信息
Bufoni André Luiz, de Sousa Ferreira Aracéli Cristina, Oliveira Luciano Basto
机构信息
Laboratory of Accounting Systems Modeling - Federal University of Rio de Janeiro, Brazil.
International Virtual Institute of Climate Change (IVIG), Brazil.
出版信息
Data Brief. 2017 Oct 10;15:595-599. doi: 10.1016/j.dib.2017.10.014. eCollection 2017 Dec.
This article contains one NVivo 10® file with the complete 432 projects design documents (PDD) of seven waste management sector industries registered as Clean Development Mechanism (CDM) under United Nations Framework Convention on Climate Change (UNFCCC) Kyoto Protocol Initiative from 2004 to 2014. All data analyses and sample statistics made during the research remain in the file. We coded PDDs in 890 fragments of text, classified in five categories of barriers (nodes): technological, financial, human resources, regulatory, socio-political. The data supports the findings of author thesis [1] and other two indexed publication in Waste Management Journal: "The financial attractiveness assessment of large waste management projects registered as clean development mechanism" and "The declared barriers of the large developing countries waste management projects: The STAR model" [2], [3]. The data allows any computer assisted qualitative content analysis (CAQCA) on the sector and it is available at Mendeley [4].
本文包含一个NVivo 10®文件，其中有2004年至2014年根据《联合国气候变化框架公约》（UNFCCC）京都议定书倡议注册为清洁发展机制（CDM）的七个废物管理部门行业的完整432个项目设计文件（PDD）。研究期间进行的所有数据分析和样本统计均保留在该文件中。我们将PDD编码为890个文本片段，分为五类障碍（节点）：技术、财务、人力资源、监管、社会政治。这些数据支持了作者论文[1]以及发表在《废物管理杂志》上的其他两篇索引出版物的研究结果：“注册为清洁发展机制的大型废物管理项目的财务吸引力评估”和“大型发展中国家废物管理项目的申报障碍：STAR模型”[2]，[3]。这些数据允许对该部门进行任何计算机辅助定性内容分析（CAQCA），并且可在Mendeley上获取[4]。
Zotero 插件