Index-based Decomposition of SO2, NOx, CO and PM Emissions Stemming from Stationary Emission Sources in Czech Republic Over 1997-2007
Abstrakt
This study utilizes an index-based statistical decomposition to examine which factors were active to change airborne emission level stemming from the Czech stationary emission sources during 1997-2007. Specifically, we undertake a 4-factor index decomposition analysis linked to Divisia index to break changes in emission level of SO2, NOx and particulate matters into scale, composition, fuel intensity and emission-fuel coefficient effect.
Our approach allows us disentangle the effect of changing fuel intensity from the effect of installation of end-of-technologies or a fuel switch on the emission abatement. We find that the emission-fuel coefficient was the strongest and most dominant factor to abate air emissions stemming from stationary emission sources until 1999.
The composition effect is negative particularly during the period 1997-2000 and in the case of SO2 and NOx emissions and in most cases even exceeds the effect of scale. Change in economic structure leads to increases in pollution especially in two years, 2004 and 2006, when the Czech economy was also significantly increasing in scale.
Second, we undertake our decompositions at various level of disaggregation of the Czech economy in order to examine what effect on the result might have various sector resolutions. Third, we focus more on time aggregation; we aggregate the decomposition result as based on year-by-year changes for three distinct time periods to examine a trend in driving forces of air emission changes, then we investigate what difference in the decomposition result might be if one undertakes decomposition on the year-by-year compared to the decomposition based only on initial and final years of the period.