基于遥感数据的贫困地图准确度如何？对马拉维的应用

中文摘要

本文评估了由现成遥感数据构建的贫困地图的可靠性。采用马拉维的数据，本文首先通过结合家庭支出调查数据与人口普查数据，得到了贫困的小区域估计。随后，本文忽略人口普查，通过将调查数据与由遥感数据得出的贫困预测因子结合，得到了第二幅贫困地图。这两种方法揭示了贫困地理分布的相同模式。然而，在某些情况下，两种方法得出的贫困估计值存在显著差异。当决策者关注地区集合间的贫困比较时，使用遥感数据得到的贫困地图可能表现良好，但当关注特定小区域的估计时，其可靠性可能较低。

Abstract

This paper assesses the reliability of poverty maps derived from off-the-shelf remote-sensing data. Employing data for Malawi, it first obtains small area estimates of poverty by combining household expenditure survey data with population census data. It then ignores the population census and obtains a second poverty map by combining the survey with predictors of poverty derived from remote sensing data. The two approaches reveal the same patterns in the geography of poverty. However, there are instances where the two approaches obtain markedly different estimates of poverty. Poverty maps obtained using remote sensing data may do well when the decision maker is interested in comparisons of poverty between assemblies of areas yet may be less reliable when the focus is on estimates for specific small areas.