Addison, Douglas
Nighttime Lights Revisited The Use of Nighttime Lights Data as a Proxy for Economic Variables. / Addison, Douglas. [electronic resource] : Addison, Douglas. - Washington, D.C. : The World Bank, 2015. - 1 online resource (33 p.) - Policy research working papers. World Bank e-Library. .
The growing availability of free or inexpensive satellite imagery has inspired many researchers to investigate the use of earth observation data for monitoring economic activity around the world. One of the most popular earth observation data sets is the so-called nighttime lights from the Defense Meteorological Satellite Program. Researchers have found positive correlations between nighttime lights and several economic variables. These correlations are based on data measured in levels, with a cross-section of observations within a single time period across countries or other geographic units. The findings suggest that nighttime lights could be used as a proxy for some economic variables, especially in areas or times where data are weak or unavailable. Yet, logic suggests that nighttime lights cannot serve as a good proxy for monitoring the within-in country growth rates all of these variables. Examples examined this paper include constant price gross domestic product, non-agricultural gross domestic product, manufacturing value added, and capital stocks, as well as electricity consumption, total population, and urban population. The study finds that the Defense Meteorological Satellite Program data are quite noisy and therefore the resulting growth elasticities of Defense Meteorological Satellite Program nighttime lights with respect to most of these socioeconomic variables are low, unstable over time, and generate little explanatory power. The one exception for which Defense Meteorological Satellite Program nighttime lights could serve as a proxy is electricity consumption, measured in 10-year intervals. It is hoped that improved data from the recently launched Suomi National Polar-Orbiting Partnership satellite will help expand or improve these outcomes. Testing this should be an important next step.
10.1596/1813-9450-7496
Capital
DMSP-OLS
E-business
Earth observation
Economic growth
Economic monitoring
Economic theory & research
Electric power consumption
Gross domestic product
Inequality
Linear regression
Macroeconomics and economic growth
Night-time light data
NPP-VIIRS
Population
Poverty reduction
Private sector development
Pro-poor growth
Satellite imagery
Nighttime Lights Revisited The Use of Nighttime Lights Data as a Proxy for Economic Variables. / Addison, Douglas. [electronic resource] : Addison, Douglas. - Washington, D.C. : The World Bank, 2015. - 1 online resource (33 p.) - Policy research working papers. World Bank e-Library. .
The growing availability of free or inexpensive satellite imagery has inspired many researchers to investigate the use of earth observation data for monitoring economic activity around the world. One of the most popular earth observation data sets is the so-called nighttime lights from the Defense Meteorological Satellite Program. Researchers have found positive correlations between nighttime lights and several economic variables. These correlations are based on data measured in levels, with a cross-section of observations within a single time period across countries or other geographic units. The findings suggest that nighttime lights could be used as a proxy for some economic variables, especially in areas or times where data are weak or unavailable. Yet, logic suggests that nighttime lights cannot serve as a good proxy for monitoring the within-in country growth rates all of these variables. Examples examined this paper include constant price gross domestic product, non-agricultural gross domestic product, manufacturing value added, and capital stocks, as well as electricity consumption, total population, and urban population. The study finds that the Defense Meteorological Satellite Program data are quite noisy and therefore the resulting growth elasticities of Defense Meteorological Satellite Program nighttime lights with respect to most of these socioeconomic variables are low, unstable over time, and generate little explanatory power. The one exception for which Defense Meteorological Satellite Program nighttime lights could serve as a proxy is electricity consumption, measured in 10-year intervals. It is hoped that improved data from the recently launched Suomi National Polar-Orbiting Partnership satellite will help expand or improve these outcomes. Testing this should be an important next step.
10.1596/1813-9450-7496
Capital
DMSP-OLS
E-business
Earth observation
Economic growth
Economic monitoring
Economic theory & research
Electric power consumption
Gross domestic product
Inequality
Linear regression
Macroeconomics and economic growth
Night-time light data
NPP-VIIRS
Population
Poverty reduction
Private sector development
Pro-poor growth
Satellite imagery