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The purpose of this investigation is the dynamic modelling of greenhouse gas (GHG) and air pollution emissions, to identify technology and policy options for reducing GHG and air pollution, and to explain how these options might affect the different variables of mobile source emission systems in Kosovo.

For modelling impacts of the technology and policy options for reducing GHG and air pollution, the model STELLA software has been used. The annual total emission for air pollutants (CO, NO_x, CH_x, SO₂ and dust) and GHG (CO₂) from the year 2000 up to 2025 is calculated. 2000 is taken as the base year for emission. Initial data value for vehicle population is taken from MEM and from World Bank ESTAP Project for Kosovo. Projection for the total number of vehicles in Kosovo is calculated with the WB Atlas Method, while the projection for emission factors and total annual emission for Air Pollutants and GHG (CO₂) are calculated with US EPA methodology.

From the results obtained using this model, the variables that drive GHG and air pollutant emissions and reduction in transport are identified. This model, predicts high emission of air pollutions and GHG in the short term from 2000 to 2010. After 2015, due to implementing the emission reduction policies and introducing new technologies in transportation, a continual reduction in air pollution will take place, whereas the CO₂ output up to 2025 will be reduced by 25 percent in comparison with the emission values of 2007.

Models presented here are the first, together with original data and results, with the predictions which are regional, but accepted globally. This work is original, since no such analysis has been carried out about mobile source emission systems in Kosovo. The paper provides data and results on which further research could be carried out.

The purpose of this investigation is the modeling of rapid climate changes (RCC) and analysis of their impacts in ecological and economic systems, in particular, their responses on the rate of RCC and assessment of the considered factors most influenced by RCC.

For modeling impacts of the RCC, the model WORLD3 has been used. Since it is expected that the greatest impacts of RCC be in energy, in this case, the WORLD3 model has been used under the assumption that RCC influences the rapid decrease of energy during a time period of one year. Therefore, the results will be more explicit than in the case when the change occurs gradually during a longer time period.

The results obtained in this work show that increasing the rate of RCC can be associated also with nonlinear responses of economic and ecological factors. It is seen from the analysis that the later the RCC occurs in the time scale considered, the lesser the consequences for ecological and economic systems affected by the RCC.

From these results, it can be concluded that adaptability and resilience of ecosystems and economies is needed, especially for the factors that are most affected by RCC – in this case, the population and energy, exert efforts for reducing the causes of RCC, and prompt action to mitigate global warming as the main cause of RCC. Also, these results show the possibility of early development of potential mitigation and adaptation strategies and allow for a better evaluation of risk exposure.

This work is original, as no such analysis has been carried out about impacts of RCC in economic and ecological systems. The paper provides data and results upon which further research could be carried out.