An original geocoded dataset matches investments by 12 Development Finance Institutions (DFIs) from OECD-DAC donor countries with subnational Official Development Assistance (ODA) data from the GODAD dataset for the period 2000–2020. The data was created by author Nicolas Bau and hosted on Harvard Dataverse, with a last update recorded in July 2026. It is used to analyze the association between ODA activity and DFI investment entry at the subnational level.
Use Cases
- Analyzing the spatial correlation between ODA activity and DFI investment based on geocoded subnational data.
- Modeling the influence of informational sharing from aid agencies on DFI investment decisions.
- Conducting comparative case studies on development finance coordination in countries like Germany, France, and the United States.
- Investigating the role of location-specific knowledge in reducing investment uncertainty in the Global South.
Strengths
- Covers a 20-year time range from 2000 to 2020.
- Includes geocoded data for subnational analysis of 12 DFIs from 12 donor countries.
- Integrates data from the GODAD dataset for ODA activities.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Data may reflect geographic and temporal bias inherent to the source platforms and the 2000–2020 period.
Provenance
- Source
- Harvard Dataverse, author Nicolas Bau.
- Collection Method
- Leverages an original geocoded dataset matched with subnational ODA data from the GODAD dataset.
- Time Range
- 2000–2020
- Freshness
- Last updated 2026-07-14 23:27:37; freshness should be verified.
- Geography
- Focus on regions of the Global South, with case studies on Germany, France, and the United States.