Tanzania Farmland Inequality and Large-Scale Land Acquisitions

Household survey data from four pairs of land acquisition and control sites in Tanzania supports a quasi-experimental analysis of large-scale land acquisitions (LSLAs). The data likely contains variables on landholdings, farm size, income, wealth, poverty, and food security to assess distributional outcomes. Findings indicate LSLAs are associated with a 21.1% reduction in landholdings and increased farmland inequality, particularly affecting the smallest farms.

Use Cases

• [Assessing the causal impact of large-scale land acquisitions] based on [quasi-experimental design comparing acquisition and control sites]
• [Analyzing changes in land asset distribution] based on [variables for landholdings and farm size]
• [Evaluating the relationship between land loss and well-being] based on [described measures of income, wealth, poverty, and food security]
• [Studying the heterogeneous effects of land policy] based on [findings that impacts are concentrated in the bottom quartiles of farm size]

Strengths

• Data underpins a peer-reviewed study published in the Proceedings of the National Academy of Sciences (PNAS) in 2023.
• Analysis uses a quasi-experimental design to provide causal evidence, finding a statistically significant 21.1% reduction in landholdings near LSLAs (P=0.02).
• Dataset is cross-platform, appearing on multiple sources, indicating its use and importance for replication.

Limitations

• Specific column names, row counts, and file formats are not provided in the available metadata.
• The dataset's temporal coverage and exact geographic boundaries within Tanzania are not specified.
• Metadata on the last update date is missing across all sources.

Provenance

Source

University of Arizona (Jonathan A. Sullivan et al.)

Collection Method

Household survey covering four pairs of land acquisition and control sites in Tanzania.

Geography

Tanzania