BROWN (US)—Outer space offers a new perspective for measuring economic growth, according to research by three economists. Using satellite images of nighttime lights, the researchers offer a new framework for estimating a country or region’s gross domestic product, or GDP.
Reliable data on economic growth is hard to come by in many parts of the world — particularly in sub-Saharan Africa and other developing countries—and the data is often not calculated at all for cities.
The team at Brown University cite the Penn World Tables, one of the standard compilations of data on income, which rank countries with grades A through D by the quality of their GDP and price data. While almost all industrialized countries receive a grade of A, nearly all sub-Saharan African countries get a grade of C or D, which is interpreted as roughly 30 or 40 percent margin of error. Several countries do not appear in the table, including Iraq, Myanmar, Somalia, and Liberia.
To improve these estimates, J. Vernon Henderson, Adam Storeygard, and David N. Weil suggest combining measured income data with the changes observed in a country’s “night lights” as seen from outer space.
Using U.S. Air Force weather satellite picture composites, they look at changes in a region’s light density over a 10-year period. “Consumption of nearly all goods in the evening requires lights,” they write in a National Bureau of Economic Research working paper. “As income rises, so does light usage per person, in both consumption activities and many investment activities.”
When the researchers applied the new methodology to countries with low-quality national income data, the new estimates were significantly different. For example, in the Democratic Republic of Congo, lights suggest a 2.4-percent annual growth rate in GDP, while official estimates suggest a negative 2.6-percent growth over the same time period. The Congo appears to be growing faster than official estimates suggest. At the other end, Myanmar has an official growth rate of 8.6 percent a year, but the lights data imply only a 3.4-percent annual growth rate.
Henderson, Storeygard, and Weil say they don’t envision the lights density data as a replacement for official numbers, but when added to existing data from agencies like the World Bank, the lights density can provide a better indicator of how these economies really are performing.
“Our hope is that people start using this, either when they don’t have actual data on economic growth . . . or when the numbers are pretty bad,” says Henderson, professor of economics. “This is just a way to get better estimates.”
The second portion of the paper establishes the first known causal relationship between local agriculture productivity and an increase in city incomes. The authors examined 541 cities in 18 African countries over a period of nine years, using rainfall as a way to measure “productivity shocks” to the rural areas. The authors conclude that an increase in agricultural output does in fact have substantial effects on local urban economic activity.
Storeygard, a fourth-year graduate student, adds that the research was a true collaboration. Weil has written widely on various aspects of economic growth, while Henderson is interested in how to measure growth at a regional or subnational level. Storeygard has experience using geographic and satellite data.
“It’s the kind of paper that used all three of our areas,” says Storeygard. “I don’t think any two of us would have been able to do this in quite the same way.”
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