Spatial characteristics and driving factors of global energy-related sulfur oxides emissions transferring via international trade.

Using the logarithmic mean divisia index decomposition methods within the multi-region input-output analytical framework, this paper investigates global energy-related sulfur oxides emissions transferring via trade, so as to reveal spatial characteristics of the pollutant emissions flows, and explores driving factors of the changes of sulfur dioxide emissions embodied in trade (SEET) for 39 major countries for the period 1995-2011. One important finding from this study is that the global SEET mainly flew from developing countries like China to highly developed economies like the U.S.