Household dataset of the Global Comparative Study on REDD+ (GCS REDD+) Module 2

English
CIFOR
CIFOR
2020

The Household dataset corresponds to the Household Questionnaire, which is used to: 1.Measure the potential effect of REDD+ on household well-being on the basis of objective metrics (livelihood, assets and income in the course of 12 months) and subjective metrics (perceived well-being status and the reasons for change for those who experience change); 2.Measure the potential effect of REDD+ on land and resource use at the level of the household; 3.Measure household knowledge of and involvement in the process of establishing and implementing REDD+.

The Household Questionnaire is divided into 5 main sections: 1. Basic information on household members; 2. household assets; 3. household income; 4. perceptions of wellbeing and wellbeing change in last two years; and, 5. involvement in and assessment of forest conservation interventions. The Household Questionnaire was carried out in 18 of the 23 subnational initiatives. The Household dataset includes 4524 households in phase 1 and 3988 in phase 2, of which 3529 were interviewed twice (not all the phase 1 households could be interviewed again in phase 2 due to attrition). Variables from Phase 1 start with P1H_section&question number, and variables from Phase 2 start with P2H_section&question number.

The research design and methods are further described in Sunderlin et al. (2016) as well as in several GCS REDD+ publications and related material (see GCS-REDD sub national initatives website).

GCS-REDD+ Subnational Initatives quality assurance
FTA’s GCS-REDD+ Subnational Initatives datasets have been peer-reviewed to ensure that they meet CGIAR’s ‘quality of research for development’ (QoR4D) framework. This framework, developed with strong methodological contributions from FTA, comprises criteria for relevance, credibility, legitimacy and effectiveness.

Relevance
The GCS-REDD+ Subnational Initatives datasets have been independently evaluated as contributing to a well-defined research question important to forests, trees and agroforestry, and to FTA’s Theory of Change. The GCS-REDD+ Subnational Initatives datasets also contribute new knowledge on forests, trees and agroforestry.

Credibility
The credibility of the GCS-REDD+ Subnational Initatives datasets has been externally verified. The datasets belong to FTA partners – and can be used by FTA.

The GCS-REDD+ Subnational Initatives datasets have been generated through a rigorous research design; they are complete, curated and cleaned. The datasets, the underlying methods and related findings are robust, and sources of knowledge are dependable and sound.

Legitimacy
The GCS-REDD+ Subnational Initatives datasets have been assessed as meeting the criteria for legitimacy. Data have been collected following both Free Prior Informed Consent (FPIC) and the research ethics guidelines of FTA, ensuring the underlying research process is fair and ethical and perceived as such, including proper representation of all involved and consideration of interests and perspectives of intended users. Gender considerations, and thus a gender lens, is reflected in the data collected.

Effectiveness
The GCS-REDD+ Subnational Initatives datasets and related products and services are accessible and well positioned for uptake and use (by researchers and stakeholders), including capacity development and proper support to the enabling environment. GCS-REDD+ Subnational Initatives dataset on the FTA website are also available and accessible on the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) interoperable repository site, Dataverse. Data are also described by sufficient metadata (CG-Core).

If you use the GCS-REDD+ Subnational Initatives dataset in any way, we would be happy to hear from you and support the visibility of your research by publishing a data story on your research. To submit a data story, click here(http://www2.foreststreesagroforestry.org/tell-us-your-data-story/).

Household dataset of the Global Comparative Study on REDD+ (GCS REDD+) Module 2

View

Back to top

Sign up to our monthly newsletter

Connect with us