From wealth to health: modelling the distribution of income per capita at the sub-national level using night-time light imagery.
From wealth to health: modelling the distribution of income per capita at the sub-national level using night-time light imagery.
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DOI：
10.1186/1476-072x-4-5
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发表时间：
2005-02-10
影响因子：
4.9
通讯作者：
Elvidge, Christopher C
中科院分区：
文献类型：
--
作者：
Ebener, Steeve;Murray, Christopher;Elvidge, Christopher C
背景技术背景：提供人口财富信息的国家以下各级数字有助于确定任何特定国家内经济活动和贫困的空间分布。此外，由于预期寿命等几个健康指标与家庭福利高度相关，因此在难以直接测量的情况下，可以通过国家以下一级的数据来估计这些健康指标在国家内部的分布情况。我们开发了利用空间分布信息（包括夜间灯光图像和人口）来模拟人均收入分布的方法，作为财富的替代，在国家和国家以下一级，支持对相关健康指标分布情况的估计。结果：第一组分析是为了提出一个新的全球模型，用于预测国家一级的人均收入。第二组分析则确认有可能在逐个国家的基础上将国家一级的方法转移到国家以下一级，然后强调在没有国家数据集的情况下难以建立全球或区域模型来推断国家以下一级的数字。结论：所描述的方法为国家和次国家人均收入数据的外推提供了有希望的结果。然后对这些结果进行讨论，以评估拟议的方法是否不能代表一种替代方法，用于生成分列到国家以下一级的一致的国别和/或全球贫困地图。
BACKGROUND: Sub-national figures providing information about the wealth of the population are useful in defining the spatial distribution of both economic activity and poverty within any given country. Furthermore, since several health indicators such as life expectancy are highly correlated with household welfare, sub-national figures allow for the estimation of the distribution of these health indicators within countries when direct measurement is difficult.We have developed methods that utilize spatially distributed information, including night-time light imagery and population to model the distribution of income per capita, as a proxy for wealth, at the country and sub-national level to support the estimation of the distribution of correlated health indicators. RESULTS: A first set of analysis are performed in order to propose a new global model for the prediction of income per capita at the country level. A second set of analysis is then confirming the possibility to transfer the country level approach to the sub-national level on a country by country basis before underlining the difficulties to create a global or regional models for the extrapolation of sub-national figures when no country data set exists. CONCLUSIONS: The methods described provide promising results for the extrapolation of national and sub-national income per capita figures. These results are then discussed in order to evaluate if the proposed methods could not represent an alternative approach for the generation of consistent country specific and/or global poverty maps disaggregated to some sub-national level.