The Use of Night-time Light Satellite Data as a Proxy for Economic Development: a Brief Research Review
Year: 2025
Type: article
Abstract: Measuring economic growth in a country as vast and uneven as India, or any large developing nation, is not a simple job. However, official numbers, like GDP growth rates, employment figures, and poverty headcounts really matter. But these numbers often arrive late and sometimes miss what is happening in real-time, especially in places where data collection is not easy. Rural pockets, informal markets, remote islands often slip through the cracks. In the last decade, researchers have turned to an unexpected tool: night-time satellite images. It might sound odd at first, but it makes sense when we think about it. These images capture the glow of artificial lights after sunset, mapping which areas shine bright and which remain cloaked in darkness. And light, as it turns out, can be a surprisingly effective proxy for economic activity. Brighter spots usually mean bustling towns, factories, roads, and homes with electricity, indicates all signs of economic prosperity. Meanwhile, dimmer regions often tell the familiar, disheartening story of deprivation, neglect, or stagnation. In places like India, where official data can be irregular, this kind of information can be priceless. Of course, the system is not perfect. There are glitches like pixel saturation, blooming effects from overly bright spots, and blind spots in rural, informal economies. But even with these errors, night-time light data fills critical gaps left by conventional statistics. Matching with other sources, it paints a richer, quicker picture of how economies are really doing. In this paper, an attempt has been made to review some important research works on the use of night-time light data for measuring economic development. It also discusses the advantages and disadvantages of using night-time satellite data for this purpose.
Author: Dr. Subrata Majumder
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6968064135
FWCI:
Cites:
Cited by:
Related to: