## Illuminating Economic Growth Using Satellite Images – IMF F&D

## Source details

**Canonical URL:** [Illuminating Economic Growth Using Satellite Images – IMF F&D](https://www.imf.org/en/publications/fandd/issues/2019/09/satellite-images-at-night-and-economic-growth-yao)

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## Bibliographic details
- Authors: JIAXIONG YAO
- Published: September 1, 2019

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### Overview of night lights as economic data
- Satellite "night lights" images have been used to study human activity and natural events for almost 30 years.
- Economists have used night lights in the past decade to gauge economic growth, map poverty, analyze inequality, and answer questions where conventional data are lacking.
- Each pixel represents an area of less than one square kilometer and is associated with a digital number measuring brightness at night; aggregating pixel values for a country produces an indicator of that country's night-time activity over time.

### How night lights reflect the changing economy
- Night lights capture two broad aspects:
  - Spatial expansion or contraction: in growing economies more areas are lit and more pixels record light; in regions affected by conflict more patches go dark and pixels lose light.
  - Intensification: urbanization, city agglomeration, and infrastructure modernization increase brightness per pixel.
- Empirical relationships:
  - Rich countries are generally brighter than less developed countries, with notable exceptions (e.g., Nordic countries are among the brightest per capita; Japan appears scarcely brighter than pre–Arab Spring Syria, likely due to energy conservation habits and high population density).
  - When accounting for country-specific characteristics of night lights, a transition emerges: early development emphasizes physical capital (infrastructure that emits light at night); advanced economies rely more on scientific and technological innovation, where night lights grow only about half as fast as GDP in advanced economies.

### Use of night lights where official statistics are weak
- Night lights can reestimate GDP for conflict-stricken countries by comparison with countries at various development stages.
- Findings from such reestimation:
  - Night-light-based GDP measures often indicate faster economic deterioration during conflict than official data show.
  - Night-light-based measures also suggest a stronger bounce-back after conflict ends.
  - The informal economy likely contributes to postconflict dynamics observed in night-light measures.

### Data scale and technological implications
- Data scale described in the source:
  - An individual country such as the United States can consist of hundreds of millions of data points when each pixel is treated as a data point.
  - With more than 200 countries and regions, the Earth's land surface contains almost a billion data points for a single early satellite image of very coarse resolution.
  - The number of data points would grow exponentially with more frequent releases and ever-finer resolution images; there are already hundreds of them taken in the past and many more to be taken in the future.
  - Night lights have been illuminating the Earth for more than a century.
- Opportunities from big geospatial data:
  - Advances in data science, including machine learning, can analyze patterns to support decision-making.
  - Granular satellite data can be harnessed to study local effects, spatial spillovers, and remote economic activity where ground information is scarce.
  - Private firms (examples cited in the source: DigitalGlobe and Orbital Insight) already apply data-science techniques to such imagery.

### Conclusions and policy implications
- Night lights provide a valuable complementary indicator of economic activity, especially where conventional statistics are lacking or unreliable.
- Policy-relevant implications highlighted:
  - Use night-light data to improve monitoring of economic deterioration and recovery in conflict-affected areas.
  - Leverage machine learning and other data-science methods to extract actionable insights from expanding satellite and geospatial datasets.
  - Seize the opportunities of big data to guide smarter policies that improve understanding of the economy and support development objectives.
- The author emphasizes that as we enter the age of big data, opportunities abound and should be harnessed to make "this world a better and brighter place."

*JIAXIONG YAO, F&D Magazine, September 2019.*

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_Source: https://www.imf.org/en/publications/fandd/issues/2019/09/satellite-images-at-night-and-economic-growth-yao_
