REDDFIT v2.0

The dataset (REDDFIT V.2) was developed in 2021 by tagging financial transfers related to REDD+ as documented in the OECD-CRS, resulting in a set of new variables. Results based on the predecessor of this database (REDDFIT V.1) is available from: “Study on EU financing of REDD+ related activities, and results-based payments pre and post 2020”at URL; https://op.europa.eu/en/publication-detail/-/publication/6f8dea1e-b6fe-11e8-99ee-01aa75ed71a1. REDDFIT V.1 methods is found in Appendix K of the above report, and was designed by Stibniati Atmadja. The methods are replicated with minor changes to produce the current dataset, REDDFIT V.2. According OECD handbook, OECD-CRS database provides comprehensive and consistent data to estimate and describe the amounts and types of activities funded by donors across time. The OCED-CRS data is collected through a combination of questionnaires, WebQueries, online platforms and/or via the Statistical Data and Metadata Exchange (SDMX), often in association with other International Organizations (e.g. Eurostat,UN agencies, etc.). The REDDFIT v2.0 dataset consist of 47,032 data rows. The dataset identifies and characterizes the major public, institutional and private flows of direct and indirect REDD+ finance to recipient countries. The dataset contained 38 variables on several aspects of REDD+ finance such as donor, funding mechanisms, and recipient. In the dataset, variable 2-35 were extracted from OECD-CRS. The other 4 variable were generated through analysis from the authors.

Dataset’s Files

REDDFITv2.0_20211116_upload.xlsx
MD5: d29d1e1af5db0903bcf3c7e2f6e4a8ee


Terms of use
Creative Commons License
These data and documents are licensed under a Creative Commons Attribution 4.0 International license. You may copy, distribute and transmit the data as long as you acknowledge the source through proper data citation.
Authors

Atmadja, S.; Selviana, V.

Keywords

deforestation, gas emissions, emissions, funding, climate change

Publisher

Center for International Forestry Research (CIFOR)

Publication date

19 Nov 2021

DOI

https://doi.org/10.17528/CIFOR/DATA.00281