Why forests are important for global poverty alleviation: a spatial explanation

Forests have been declared important for the well-being of the poor because of the kinds of goods and services that they provide. We asked whether forests are important for the poor not only because of the kinds of goods and services they provide, but also because they tend to be located where the poor are. We conducted a spatial analysis to ascertain the degree of spatial association between poverty and forests in seven countries: Brazil, Honduras, Malawi, Mozambique, Uganda, Indonesia, and Vietnam. For most of these countries, there was a significant positive correlation between high natural forest cover and high poverty rate (the percentage of the population that is poor) and between high forest cover and low poverty density (the number of poor per unit area). We explain the findings and discuss policy implications and topics for future research.

Saved in:
Bibliographic Details
Main Authors: Sunderlin, William D., Dewi, S., Puntodewo, A., Muller, D., Angelsen, A., Epprecht, M.
Format: Journal Article biblioteca
Language:English
Published: 2008
Subjects:deforestation, forests, poverty, spatial analysis,
Online Access:https://hdl.handle.net/10568/20030
https://www.cifor.org/knowledge/publication/2637
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Forests have been declared important for the well-being of the poor because of the kinds of goods and services that they provide. We asked whether forests are important for the poor not only because of the kinds of goods and services they provide, but also because they tend to be located where the poor are. We conducted a spatial analysis to ascertain the degree of spatial association between poverty and forests in seven countries: Brazil, Honduras, Malawi, Mozambique, Uganda, Indonesia, and Vietnam. For most of these countries, there was a significant positive correlation between high natural forest cover and high poverty rate (the percentage of the population that is poor) and between high forest cover and low poverty density (the number of poor per unit area). We explain the findings and discuss policy implications and topics for future research.