A guest post by Jacob Meyer, Research Assistant, Yale Center for Environmental Law & Policy
In the 2010 EPI, the relationship between Environmental Health and log GDP per capita typifies a logistic function, colloquially known as an S-curve. The S-curve is a well-known relationship that can be found across disciplines. Chemistry, physics, biology, linguistics, statistics, and economics all find evidence of behaviors that follow the S-curve model. In economics, it is typically employed to describe the pace of technology adoption or innovation. There is often a slow start, followed by a period of rapid advancement, which tapers to slower ending. That the Environmental Health scores follow this pattern is not surprising; public health has always been a major concern of policymakers.
What is perhaps more surprising is that the scores for Ecosystem Vitality do not follow the same pattern. Part of this can be explained by the fact that industrialization has historically required enormous consumption of fossil fuels. However, the data are widely dispersed, and the regressed relationship does not appear to be very strong. This implies that the measures that make up the Ecosystem Vitality score have not received the attention that policymakers have given Environmental Health indicators in the developed world. The data calls for more research – better understanding the relationship between ecosystem protection and economic development could help rapidly developing countries avoid the past environmental errors of the developed world.