Abstract

In this paper we explore how satellite images of global night lights from the years 2001 to 2007 can be used to estimate economic activity at the sub-regional level in the U.S., India and China. The night lights based estimates of economic activity are then spatially analyzed and compared with sub-regional economic indicators where available for selected years. For this purpose we have extended the standard bi-variate LISA (Local Indicators of Spatial Autocorrelation) to include bi-directional analysis. This bi-directional bi-variate analysis helps to identify those jurisdictions where night lights intensity can be used as a proxy for measuring sub-regional economic growth. We also briefly discuss two theoretical models that shed light on the geospatial patterns reflected by the night light data. The results are presented with a series of maps, charts and tables.

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