Related Experiment Video
Updated: Feb 19, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Waste management CDM projects barriers NVivo 10® qualitative dataset
André Luiz Bufoni1, Aracéli Cristina de Sousa Ferreira1, Luciano Basto Oliveira2
1Laboratory of Accounting Systems Modeling - Federal University of Rio de Janeiro, Brazil.
This study analyzes waste management projects registered under the Clean Development Mechanism (CDM). It identifies technological, financial, and regulatory barriers hindering project development in the waste management sector.
Area of Science:
- Environmental Science
- Climate Change Policy
- Waste Management Engineering
Background:
- The Clean Development Mechanism (CDM) under the United Nations Framework Convention on Climate Change (UNFCCC) Kyoto Protocol incentivizes sustainable development projects.
- Waste management sector industries play a crucial role in mitigating greenhouse gas emissions and promoting resource efficiency.
- Understanding barriers in waste management projects is essential for effective climate change mitigation strategies.
Purpose of the Study:
- To provide a comprehensive dataset of project design documents (PDDs) for waste management CDM projects.
- To classify and analyze the barriers encountered in these projects using qualitative content analysis.
- To support further research and computer-assisted qualitative content analysis (CAQCA) in the waste management sector.
Main Methods:
- A dataset comprising 432 Project Design Documents (PDDs) from seven waste management sector industries registered under the CDM (2004-2014) was compiled.
- Project Design Documents (PDDs) were coded into 890 text fragments.
- Fragments were systematically classified into five main categories of barriers: technological, financial, human resources, regulatory, and socio-political.
Main Results:
- The analysis identified key barriers across technological, financial, human resources, regulatory, and socio-political domains within waste management CDM projects.
- The dataset supports previous findings on the financial attractiveness and declared barriers of large waste management projects.
- The research provides a foundation for detailed computer-assisted qualitative content analysis (CAQCA) of the sector.
Conclusions:
- The study highlights the multifaceted barriers impeding the successful implementation of waste management projects under the CDM.
- The availability of this coded dataset facilitates deeper investigation into the challenges and opportunities within the sector.
- This research contributes to a better understanding of the factors influencing climate change mitigation through waste management initiatives.
More Related Videos
09:33Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
Published on: December 23, 2022
06:11Author Spotlight: Advancing Anaerobic Microbiota Research Using a Novel Respirometry Protocol
Published on: April 26, 2024
Related Concept Videos
Qualitative Analysis
There are two main approaches to qualitative analysis:...
Qualitative Analysis
For instance, group IV...
Barriers to Effective Communication II
Cultural barriers:
Differences in values, beliefs, religion, knowledge, and tradition can significantly impact communication. Awareness of nonverbal cues is critical, especially when conversing with a patient from a different culture. What appears appropriate in one culture may be inappropriate in another.
Semantic barriers:
As a result of their tendency to use...
Barriers to Effective Communication I
Communication barriers include the following:
Physiological barriers: They are limitations caused by a person's health condition or disability, such as hearing loss, poor eyesight, illness, or unconsciousness. An example to overcome this...
Levels of Use of a GIS
Deleterious Substances in Aggregate
Another type of impurity is clay and fine material that...