There is a growing interest in how land degradation affects the welfare of the rural poor, especially where environmental conditions continue to worsen and the future of ecosystem health remains uncertain. Nowhere is this more important than in sub-Saharan Africa, where rural poverty remains high and pressure on natural resources continues to build. At the same time, generating more agricultural profits on this land remains crucial to reducing poverty. This research asks how changing land quality, as measured by soil organic carbon (SOC) content, affects agricultural profitability and agricultural technology adoption for poor farmers in Tanzania. It is the first to match high-resolution, remote-sensing soil data to nationally representative household-plot surveys, using the World Bank’s Living Standards Measurement Study and World Agroforestry Centre’s Land Degradation Surveillance Framework. We employ a household fixed effects model that isolates SOC contributions to plot-level agricultural profits, finding positive changes of $7–8 per acre per year for each gram per kilogram change in SOC, with higher sensitivity to SOC differences for farmers with worse quality land. SOC and fertilizer use also exhibit a positive synergistic interaction with plot-level agricultural profits. Despite this, however, we find that SOC levels do not factor into fertilizer adoption decisions, and land quality has a smaller role in how farmers assign value to their land compared to how it contributes to profits. Partly because of a lack of matched, high-resolution, and nationally representative environmental and socioeconomic data, researchers and policymakers typically have not been able to include land quality as a primary dimension on which to analyze agricultural profitability and technology use in sub-Saharan Africa. We conclude that this should be a major factor in both targeting rural development and environmental policies and understanding impacts of long-run land health declines on the world’s poor.
DOI:
https://doi.org/10.1016/j.worlddev.2017.07.015Puntuación Altmetric:
Dimensiones Recuento de citas:
Año de publicación
2018
Autores
Bhargava, A.K.; Vågen, T-G.; Gassner, A.
Idioma
English
Palabras clave
remote sensing, carbon sequestration
