Assessing Income Distribution at the District Level for India Using Nighttime Satellite Imagery

Mayuri Chaturvedi, T. Ghosh, Laveesh Bhandari
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引用次数: 26

Abstract

Several studies have been carried out relating nighttime lights with economic activity. But most studies relating nighttime lights with economic activity have focused on associating higher totals in economic activity with higher sum of lights across regions. The question addressed in this paper is how best to model the relationship of nighttime lights with not just the wealthy but also the relatively worse-off within a region. The implications of such an exercise are immense with respect to ascertaining income distribution aspects of any area. The methods developed in this paper explore the relation between households in different income brackets at the district level for India, and the radiance-calibrated nighttime image of 2004. Besides the radiance-calibrated data of 2004, estimates of household incomes and number of households in different income brackets, made by Indicus Analytics (specialized economic research firm, based in New Delhi, India) were used. The results were mapped and insights were drawn for all districts based on their socio-economic profile. These results illustrate the advantage of using this easily available data for determining income inequalities, especially in information-deficient countries such as India.
利用夜间卫星图像评估印度地区一级的收入分配
已经进行了几项有关夜间灯光与经济活动的研究。但是,大多数将夜间灯光与经济活动联系起来的研究都集中在经济活动总量较高与区域间灯光总量较高之间的联系上。本文讨论的问题是,如何最好地模拟一个地区内夜间灯光与富人以及相对较差的人的关系。在确定任何地区的收入分配方面,这种工作的影响是巨大的。本文开发的方法探讨了印度地区不同收入阶层家庭之间的关系,以及2004年辐射校准的夜间图像。除了2004年的辐射校准数据外,还使用了Indicus Analytics(总部位于印度新德里的专业经济研究公司)对家庭收入和不同收入等级家庭数量的估计。结果被绘制成地图,并根据所有地区的社会经济状况得出见解。这些结果说明了利用这种容易获得的数据来确定收入不平等的优势,特别是在印度等信息缺乏的国家。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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