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Night-time light data

17 Jun 2013

Research has suggested that night-time light (NTL) can be used as a proxy for a number of variables, including urbanization, density, and economic growth. But, just how close is the relationship between NTL and economic activity? This paper uses a combination of correlation analysis and geographically weighted regressions in order to examine the relationship between the two. We use fine-grained geo-coded micro-data for Swedish establishments and individuals, and match it with both radiance and saturated light emissions. We find that the correlation between NTL and economic activity is strong enough to make it a relatively good proxy for population and establishment density, but the correlation is weaker in relation to wages. In general, we find a stronger relation between light and density values, than with light and total values. We also find a closer connection between radiance light and economic activity, than with saturated light. Further, we find the link between light and economic activity, especially estimated by wages, to be slightly overestimated in large urban areas, and underestimated in rural areas.
economics economy science and technology economic geography mathematics meteorology regression analysis statistics sweden urban economics weather economic activity correlations correlation and dependence errors and residuals light ols ordinary least squares linear regression regression model arcgis multicollinearity autocorrelation ols regression proxy spatial analysis spatial autocorrelation light pollution light-emission municipal lighting

Authors

Mellander, Charlotta, Matheson, Zara, Stolarick, Kevin, Lobo, José

Pages
33
Published in
Ottawa, Ontario

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