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Volume 8, Issue 9 (Suppl)
J Earth Sci Clim Change
ISSN: 2157-7617 JESCC, an open access journal
Climate Congress 2017
October 16-17, 2017
October 16-17, 2017 Dubai, UAE
3
rd
World Congress on
Climate Change and Global Warming
Kaya identity for analysis of GHG emission trends in Baltic States
Dalia Streimikiene
Vilnius University, Lithuania
T
he decomposition analysis of GHG emission trends will be performed to define the main drivers of GHG emission
reduction in Lithuania conformed to achieve in 2020 and 2030. GHG emission reduction, RES in final energy consumption
and energy intensity reduction targets were compared to year 2005 level. As all these targets are interrelated and have to be
achieved together. Therefore, it is very important to track the changes of GHG emissions in EU member states by addressing
the achieved progress in GHG emission reduction to the changes in energy intensity and increase in the share of renewables
in final energy consumption. The Kaya identity and decomposition analysis allow the linking of changes in GHG emissions to
changes in energy intensity and carbon intensity of energy. This directly reflects the increase of the share of renewables in final
energy consumption. Kaya identity and decomposition analysis allow defining the impact of increase of the use of renewables
and decrease in energy intensity on GHG emission reduction in EU Member States. Kaya identity is an equation relating
factors that determine the level of human impact on climate, in the form of emissions of the greenhouse gas carbon dioxide.
This identity states that total emission level can be expressed as the product of four inputs: human population, GDP per capita,
energy intensity (per unit of GDP), carbon intensity (emissions per unit of energy consumed).
dalia.streimikiene@khf.vu.ltJ Earth Sci Clim Change 2017, 8:9 (Suppl)
DOI: 10.4172/2157-7617-C1-034