This diploma thesis was composed as a part of the resolution of the student team research project GAJU 029/2011/S of the Grant Agency of the University of Southern Bohemia in Ceske Budejovice. The main goal of this thesis is an evaluation of the economic behavior of non-financial enterprises in the ownership of the government (NPVV) in the selected sector of the national economy. The theoretical part is dealing with a short description of these enterprises and with issues with their efficiency. This was analysed in separate studies. The practical part deals with a development of the individual types of the profitability (type of an income of the production) in the context of the national economy and industry type if the of selected national accounts during the 1999 - 2010 period. The conclusions of the individual chapters are interconnected at the end of this thesis. The method is to compare the conclusions from the industry subsectors with the conclusions from the national economy subsector. The conclusions are compared with the NPVV informations extracted from the related studies. The non-financial enterprises subsector indicator results are also evaluated in this thesis. The analysed branch was the ground and pipeline transportation branch due to substantial share of the public non-financial enterprises NPV (13.3 %) and the national private non-financial enterprises NPS (3.74 %) production in 2010 (these were the main subsectors of the researched non-financial enterprises). The production and the income have been approsimately developed at the same average as in the sector and the national economy also. Their output is comparable due to that. The comparation of the profitability by using the gross added value shows us that the NPV have better results. However the position of NPV and NPS switches and the differences become deepen when we use the net added value and other sources of income. There is even a regular negative profitability if we use the net disposable income of the NPV. There is an issue with the salary of the employees mainly in the NPV according to the research. But it is interesting that issues related to the financial crisis are not affecting the NPV as fast as the NPS. The NPS is affected by the problems almost immediately, however the NPV are affected with a delay and with a less intensity. The essential recommendation is to introduce a control of any commercial enterprises with any state partnership through the Highest inspecting office.

Carbon capture and storage (CCS) and a point of electricity generation is a promising option for mitigating greenhouse gas emissions. One issue with respect to CCS is the design of carbon dioxide transport, storage and injection system. This dissertation develops a model, OptimaCCS, that combines economic and spatial optimization for the integration of CCS transport, storage and injection infrastructure to minimize costs. The model solves for the lowest-cost set of pipeline routes and storage/injection sites that connect CO2 sources to the storage. It factors in pipeline costs, site-specific storage costs, and pipeline routes considerations involving existing right of ways and land use. It also considers cost reductions resulting from networking the pipelines segment from the plants into trunk lines that lead to the storage sites. OptimaCCS is demonstrated for a system involving carbon capture at 14 Texas coal-fired power plants and three potential deep-saline aquifer sequestration sites. In turn OptimaCCS generates 1) a cost-effective CCS pipeline network for transporting CO2 from all the power plants to the possible storage sites, and 2) an estimate of the costs associated with the CO2 transport and storage. It is used to examine variations in the configuration of the pipeline network depending on differences in storage site-specific injection costs. These results highlight how various levels of cooperation by CO2 emitters and difference in injection costs among possible storage sites can affect the most cost-effective arrangement for deploying CCS infrastructure. This study also analyzes CCS deployment under the features in a piece of legislation the draft of American Power Act (APA) - that was proposed in 2010 which contained a goal of CCS capacity for emissions from 72 Gigawatt (GW) by 2034. A model was developed that simulates CCS deployment while considering different combinations of carbon price trajectories, technology progress, and assumed auction prices. The model shows that the deployment rate of CCS technology under APA is affected by the available bonus allowances, carbon price trajectory, CCS incentive, technological adaptation, and auction process. Furthermore it demonstrates that the 72GW objective can only be achieved in a rapid deployment scenario with quick learning-by-doing and high carbon price starting at 25 dollars in 2013 with a 5 percent annual increase. Furthermore under the slow and moderate deployment scenarios CCS capacity falls short of achieving the 72 GW objective.