Why North Korea Goes Pitch Black at Night?

By Saurav Bhandary   

When I look at satellite images of the earth, I see the world without national borders. I see rivers of lights uniting all the countries into a single glowing tapestry. What do you see?

Satellite images if studied in detail could give us much more accurate and less-biased information than any government data provided by local politicians. Traditionally speaking, empirical work in economics has been heavily based on numerical data, such as Gross Domestic Product (GDP), unemployment, and inflation, etc. In the recent years, however, economics is slowly starting to use data from satellites in a more systematic way. Make no mistake, we can get a lot of information out of these satellite images. For instance, one could use data from satellites to study economic differences across countries, and see how poverty levels have changed over a period of time to mention a few. 

That said, satellite data itself is not going to give us a better estimate of economic growth than what we already have, however, if the satellite data is used together with traditional GDP data, it could give us a better estimate of economic growth.

This is the satellite picture of North and South Korea at night. The upper left portion is China and the bottom right is South Korea. The pitch dark area between these two countries is North Korea, which appears like a black hole in the sea of light. It not only tells us about the availability and consumption of electricity but also about the standard of living in North Korea. This image of the Korean Peninsula at night is a graphic visualization of the huge gap in economic development between North and South Korea. We see with even more clarity the isolation of North Korea in direct contrast to the prosperity of the South.

Similarly, these satellite images of South Asia were taken in 1994 and 2010. Do you notice any difference in these two pictures? South Asia in 2010 appears to be much brighter than it was in 1994, indicating both economic and population growth. Let’s assume that the bright light highly correlates with the amount of economic growth over time. Let’s check if this statement holds true! According to the world bank, over the 16-year period, the GDP growth rate of India jumped from 6.659% in 1994 to 10.26% in 2010. Therefore, we can draw a safe conclusion that the level of light is an indication of the amount of economic activity, and possibly could be used to estimate changes in economic growth over time-based on changes in luminosity. These satellite images taken at night could tell us as much about economic growth as any official government statistics. 

When they say New York city does not sleep, it is partly true- economically speaking. If you look at the satellite image of the United States at night, New York city is brighter than any other cities. Is it a coincidence that New York City is also one of the most economically advanced cities in the world? I do not think so! One could say money lights up the sky at night.

In a 20-year period, entire Western Europe is lit up like a Christmas tree. Well, if we look back in time most of the area that lights up the most were among the poorest parts of the continent. This indicates the improvement of people’s standard of living. The light also indicates an economic growth over time; bright spot represent areas of high energy consumption, emissions and pollution- factors that greatly contribute to climate change, but that’s a whole different story to tell for another time.

*Editor’s Note: The detailed Reference List (APA Format) to be published shortly. In the meanwhile, if you have any questions or concerns regarding this matter, or if you need further clarification on any issues,  please click here to leave a comment. We will get back to you as soon as possible. Thank you for your patience and understanding!

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s