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FLARE’s Livelihoods and Well-being tool (LivWell) provides a low-cost, convenient method for estimating the household livelihood and well-being impacts of projects, policies, and other forest-related interventions.
This tool consists of a survey instrument, a data visualization and analyses platform, and user manuals for organizations and enumerators. The LivWell Survey Instrument generates data on household demographics, income and expenditure, assets, credit and savings, household shocks and impacts, forest information, health and nutrition, and forest governance. This survey incorporates questions that are foundational to assessing well-being and are comparable with data collected from the following nationally representative surveys: Demographic Health Surveys (DHS), Living Standards Measurement Surveys (LSMS), and Multiple Indicator Cluster Surveys (MICS).
The organization manual (still finalizing) provides information on designing a research effort using the LivWell toolset, including information on research design, sampling, the LivWell survey instrument, enumerator training, downloading the data, and using the visualization and analyses program. The enumerator manual (still finalizing) includes a detailed description of each question; a code book; instructions on how to use the survey; and serves as a reference [an abbreviated guide] for enumerators in the field.
The visualization and analyses program is currently under construction and the link will be shared on this page by the end of 2017.
If you are interested in using this tool, please register here. We anticipate the tool being ready for use in January 2018, at which time we will contact you with instructions on how to access the survey, and a project ID to identify your data.
You can access freely the recently updated database of REDD+ projects at: www.reddprojectsdatabase.org ID-RECCO is a project from the Climate Economics Chair (Paris-Dauphine university, France), CIRAD (Montpellier, France) and IFRI (University of Michigan, United States). It aims at improving knowledge on REDD+ projects by centralizing data on REDD+ projects, with up to 110 variables per project, and organizing these data in a format adapted to research purposes and global analyses.
As of September 2016, the ID-RECCO database contains 454 projects (of which 344 have been identified as active, 67 were completed before 2016 and 43 have not been implemented yet or have been discontinued), located in 56 countries.You can consult our map of projects and list of projects. Data downloading is available after registration/login.ID-RECCO is a collaborative work tool: all users are invited to contribute to the improvement of data reliability and data availability. To report an error, mention a new project or provide additional information on a project, please contact us.
Please cite this database as: Simonet G., Agrawal A., Bénédet F., de Perthuis C., Haggard D., Jansen N., Karsenty A., Liang W., Newton P., Sales A-M, Schaap B., Seyller C., (2016) ID-RECCO, International Database on REDD + projects, linking Economic, Carbon and Communities data, version 2.0 http://www.reddprojectsdatabase.org.
The International Forestry Resources and Institutions (IFRI) research program was founded in 1992 by Elinor Ostrom and her colleagues at Indiana University. IFRI focuses on how local groups, communities, and indigenous populations manage and govern their forests and trees. IFRI seeks to provide scholars, policy makers, activists, indigenous groups, and communities with systematic information and research findings about how people interact with forest resources at the community level and with what effect. Since the early 1990’s, IFRI researchers have used a common set of research protocols and questionnaires to collect information about the demographic, socioeconomic, institutional, and other attributes of the relationship between forests, the communities that depend on them, and the institutions used to manage them. These rigorous field measurements and research efforts have created a unique database on forest use, governance, and how variations in human-environment interactions lead to different social and ecological outcomes related to forest systems.The IFRI data is useful for understanding how community efforts to use, manage, and protect forests lead to different livelihood strategies, carbon storage, and biodiversity outcomes in community forests. IFRI researchers, distributed across the human-dominated forested landscapes of East Africa, South and Southeast Asia, and Latin America have used the data collected over nearly 25 years to identify the characteristics of successful forest use. Members of the IFRI network also believe that sharing these data more widely with the community of scholars and practitioners interested in community forestry will support the goal of improving knowledge and decision making for community forest leaders, policy makers, practitioners, and others interested in such forests.This online version of the IFRI database contains a subset of the most important IFRI research variables with broad relevance to those interested in community forests. We invite you to explore and use IFRI data, and to please contact us with questions or comments about the IFRI program or this database.
All print and online publications that use IFRI data should acknowledge use by citing both the dataset and the codebook as follows:
Ostrom, E., Huntington, H., Andersson, K., Banana, A., Castallenos, E., Chhatre, A., England, J., Ghate, R., Gombya-Ssembajjwe, W., Karna, B., Leon, R., Liang., W., Marquez, L., Mereno, L., Newton, P., Persha, L., Tatomir, J., Salk, C., Tucker, C., Agrawal, A. 2016. IFRI dataset, Online version. 1st edition.
Huntington, H., Liang, W., Rice, M., Wilson, S.J., Agrawal, A. 2016. IFRI codebook, Online version. 1st edition.
FLARE is developing a household survey core module for use in several impact evaluation projects. This module is a comprehensive survey instrument designed to collect data on the following: A) Demographics, (B) Subjective well-being, (C) Land and livestock holdings, (D) Household income and expenditures, (E) Household assets, (F) Household interactions with forests, and forest management activities, (G) Household reliance on forest products, (H) Household interactions with village and extra-village institutions, (I) House construction and accessibility, (J) Health and nutrition, (K) Credit and savings, (L) Shocks to household welfare. FLARE plans to make the module accessible to anyone interested in using it and contributing their data to a password protected centralized database. Please contact the FLARE Secretariat if you are interested in using the module.