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Large-scale land acquisitions exacerbate local farmland inequalities in Tanzania
Land inequality stalls economic development, entrenches poverty, and is associated with environmental degradation. Yet, rigorous assessments of land-use interventions attend to inequality only rarely. A land inequality lens is especially important to understand how recent large-scale land acquisitio...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10410758/ https://www.ncbi.nlm.nih.gov/pubmed/37523529 http://dx.doi.org/10.1073/pnas.2207398120 |
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author | Sullivan, Jonathan A. Samii, Cyrus Brown, Daniel G. Moyo, Francis Agrawal, Arun |
author_facet | Sullivan, Jonathan A. Samii, Cyrus Brown, Daniel G. Moyo, Francis Agrawal, Arun |
author_sort | Sullivan, Jonathan A. |
collection | PubMed |
description | Land inequality stalls economic development, entrenches poverty, and is associated with environmental degradation. Yet, rigorous assessments of land-use interventions attend to inequality only rarely. A land inequality lens is especially important to understand how recent large-scale land acquisitions (LSLAs) affect smallholder and indigenous communities across as much as 100 million hectares around the world. This paper studies inequalities in land assets, specifically landholdings and farm size, to derive insights into the distributional outcomes of LSLAs. Using a household survey covering four pairs of land acquisition and control sites in Tanzania, we use a quasi-experimental design to characterize changes in land inequality and subsequent impacts on well-being. We find convincing evidence that LSLAs in Tanzania lead to both reduced landholdings and greater farmland inequality among smallholders. Households in proximity to LSLAs are associated with 21.1% (P = 0.02) smaller landholdings while evidence, although insignificant, is suggestive that farm sizes are also declining. Aggregate estimates, however, hide that households in the bottom quartiles of farm size suffer the brunt of landlessness and land loss induced by LSLAs that combine to generate greater farmland inequality. Additional analyses find that land inequality is not offset by improvements in other livelihood dimensions, rather farm size decreases among households near LSLAs are associated with no income improvements, lower wealth, increased poverty, and higher food insecurity. The results demonstrate that without explicit consideration of distributional outcomes, land-use policies can systematically reinforce existing inequalities. |
format | Online Article Text |
id | pubmed-10410758 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-104107582023-08-10 Large-scale land acquisitions exacerbate local farmland inequalities in Tanzania Sullivan, Jonathan A. Samii, Cyrus Brown, Daniel G. Moyo, Francis Agrawal, Arun Proc Natl Acad Sci U S A Social Sciences Land inequality stalls economic development, entrenches poverty, and is associated with environmental degradation. Yet, rigorous assessments of land-use interventions attend to inequality only rarely. A land inequality lens is especially important to understand how recent large-scale land acquisitions (LSLAs) affect smallholder and indigenous communities across as much as 100 million hectares around the world. This paper studies inequalities in land assets, specifically landholdings and farm size, to derive insights into the distributional outcomes of LSLAs. Using a household survey covering four pairs of land acquisition and control sites in Tanzania, we use a quasi-experimental design to characterize changes in land inequality and subsequent impacts on well-being. We find convincing evidence that LSLAs in Tanzania lead to both reduced landholdings and greater farmland inequality among smallholders. Households in proximity to LSLAs are associated with 21.1% (P = 0.02) smaller landholdings while evidence, although insignificant, is suggestive that farm sizes are also declining. Aggregate estimates, however, hide that households in the bottom quartiles of farm size suffer the brunt of landlessness and land loss induced by LSLAs that combine to generate greater farmland inequality. Additional analyses find that land inequality is not offset by improvements in other livelihood dimensions, rather farm size decreases among households near LSLAs are associated with no income improvements, lower wealth, increased poverty, and higher food insecurity. The results demonstrate that without explicit consideration of distributional outcomes, land-use policies can systematically reinforce existing inequalities. National Academy of Sciences 2023-07-31 2023-08-08 /pmc/articles/PMC10410758/ /pubmed/37523529 http://dx.doi.org/10.1073/pnas.2207398120 Text en Copyright © 2023 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Social Sciences Sullivan, Jonathan A. Samii, Cyrus Brown, Daniel G. Moyo, Francis Agrawal, Arun Large-scale land acquisitions exacerbate local farmland inequalities in Tanzania |
title | Large-scale land acquisitions exacerbate local farmland inequalities in Tanzania |
title_full | Large-scale land acquisitions exacerbate local farmland inequalities in Tanzania |
title_fullStr | Large-scale land acquisitions exacerbate local farmland inequalities in Tanzania |
title_full_unstemmed | Large-scale land acquisitions exacerbate local farmland inequalities in Tanzania |
title_short | Large-scale land acquisitions exacerbate local farmland inequalities in Tanzania |
title_sort | large-scale land acquisitions exacerbate local farmland inequalities in tanzania |
topic | Social Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10410758/ https://www.ncbi.nlm.nih.gov/pubmed/37523529 http://dx.doi.org/10.1073/pnas.2207398120 |
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