Luminosity Data as a Proxy for Evaluating Different Carbon Tax Systems
Abstract
In addressing the increasingly urgent issue of climate change, policymakers around the world turn to carbon taxes as a primary initiative. However, in the status quo, the effectiveness of these various carbon tax systems is extremely contested, largely due to the variety of methods used to measure the effectiveness of said taxes and the high error rates associated with these methods. This paper utilizes the new approach of looking at luminosity data, which is the brightness of artificial light to provide more data on how carbon tax systems change the rate of emissions in various countries. By offering more data on the effectiveness of these important kinds of policies, this paper hopes to offer some guidance to policymakers seeking to implement a carbon tax.
Luminosity Data as a Proxy for Evaluating Different Carbon Tax Systems
In addressing the increasingly urgent issue of climate change, policymakers around the world turn to carbon taxes as a primary initiative. However, in the status quo, the effectiveness of these various carbon tax systems is extremely contested, largely due to the variety of methods used to measure the effectiveness of said taxes and the high error rates associated with these methods. This paper utilizes the new approach of looking at luminosity data, which is the brightness of artificial light to provide more data on how carbon tax systems change the rate of emissions in various countries. By offering more data on the effectiveness of these important kinds of policies, this paper hopes to offer some guidance to policymakers seeking to implement a carbon tax.