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Realization of farm with a focus on poultry
Hromjak, Milan ; Zita, Lukáš (advisor) ; Kovářová, Kateřina (referee)
This thesis deals with the origin of a family farm. By creating a business plan and issues connected with it, its priority is an organic poultry farm, which will produce poultry meat and eggs. Another service beyond the farm production will be creating conditions for a developing branch, which is agro-tourism and other services related to the operation of the farm, so that it leads to the economic development and profit. The farm will arise by rebuilding of an old house with a large barn and adjacent 10ha of lands inherited from grandparents. There will be built a multi-purpose building called the poultry farm from which the poultry will have access to pasture. The property includes another 1 ha of forest from which the wood will be used as a building material and firewood. The work is divided into two parts: theoretical and practical. The theoretical part especially focuses on explaining the concepts that are important to understand the business plan. Then there is the legislation concerning the organic farming, a tangle of laws, public notices and regulations that must be followed in order to meet the conditions for the organic farming. An integral motivational service of the country and the European Union for farmers and not only for those who are environmentally-managing farmers, is support and grants for the years 2014 - 2020. A very important step not only for the starting farmers is a market analysis in the given branch, as well as a SWOT analysis that will show us the positive and negative aspects of the business. The conclusion of this section deals not only with the concept of agro-tourism, but also with its market position as well and possibilities of its use and further development. In the practical part there is a description of a business plan and individual periods of the project including financing. Finances will flow from own and foreign capital, or the possibility to apply for support through non-refundable grants. The establishment of the farm will have an impact on the labor market, as there will be 5 newly created jobs and the community will fit into the wider public awareness thanks to the activities that the farm will develop for the purpose of product promotion and further development. Furthermore, there are itemized individual items that lead to the final evaluation of the effectiveness of the business plan. By processing the theoretical and practical part of the thesis the requirement of the thesis objective is met - to design a prosperous family farm focused on poultry keeping with a hypothesis if it is currently possible to be competitive while importing poultry meat and eggs from abroad. It can be concluded that the business plan is viable.

Evaluation of revitalisation of green vegetation on the square in the town Dobříš
Melšová, Tereza ; Jakubcová, Eva (advisor) ; Jiří, Jiří (referee)
The thesis is focused on the evaluation of the revitalization of green vegetation at the Mirove square in the town Dobris. Revitalization took place in 2012 and its main purpose was to revive and attractiveness of the area. The condition was to preserve the original character of the square. As part of this thesis is done monitoring of the project with settings the most important points that had an impact on the recovery of the area. Explored is for example the financing of revitalization, architectural competition and management of urban green areas in Dobris. The main essence of evaluation is analysis of greenem which was performed before starting the revitalization and after its completion. It describes the health condition of trees, their aesthetic value and composition of vegetation, which was solved by the project. Based on the dendrological report is evaluated the management of greenery, which was ensured by the city untill the start of the project. Described is street furniture and all landscaping which was applied in the renewal of greenery. Included are radical adjustments like felling of selected trees, but also a minor health interventions. In conclusion there is proposed recommendations for possible adjustments. They are entered in the design of solutions that can be used to improve the project. The recommendations are designed to improve representativeness and functionality of the entire revitalization project in the investigated area.

Project of family farm as closed economic unit
Jakubčík, Václav ; Pazderů, Kateřina (advisor) ; Zdeněk, Zdeněk (referee)
The diploma thesis deals with the family farm, which deals with fast growing trees cultivation. Business plan for my firm is the operation of the cogeneration unit and ensuring its self-sufficiency. The intention is that the family farm should produce more than half the biomass for cogeneration units. Diploma thesis works with providing services in processing of logging residues, removing seeding trees and transportation. All this in order to obtain sufficient quantities of the commodity for the operation of boiler plants with cogeneration unit. Further outputs are addressed including the use of waste heat. Necessary support in planning the boiler room is the SWOT analysis. Conclusion of SWOT analysis clearly support the business plan for hte operation of a family farm. Another key factor, that motivates me to expand current boiler room is a continuously rising electricity price. I suppose part of the generated electric power will be used for wood drying, the rest of the energy power is supposed to be sold to CEZ. Revenue from electricity sales should improve my Cash-Flow. An important source of energy is a waste hot water that will be used for heating lumber drying, rabbit slaughterhouses of Rabbit firm. The rest of hot water waste will be used for heating workshops and residential buildings around. The main incentive for founding a family farm is request to have enough fuel for the cogeneration unit also in case of external source shortage. The target is to ensure fluent economic operation of whole technological equipment. My target is an overall economic assessment of the project for extracting of biomass from various sources. After an overall assessment we got conclusion, that the project can be profitable especially due to own production. Services provided by my farm creates significant additional value. For family farm founding motivates me also unemployment of several family members.

Application of project management methods in public administration
Labancová, Karolina ; Houška, Milan (advisor) ; Hana, Hana (referee)
This thesis entitled "Application of project management methods in public administration" handles real project, which will be held in public administration, with the help of project management. The work describes what steps must be pursued must perform in order to make the investment plan, in this case, the construction of a new building that will serve as the sponsor registry. The first part focuses on the explanation of the concepts of project management, dealing with specifying what the different terms mean and how they can be used in a practical direction. Along with these concepts also deals with the methods and principles that are used in project management. These include STEP analysis, which looks at what the external environment surrounding the subject and SWOT analysis, which in turn monitors the internal environment of the body. The work is also used and critical path method called. CPM and created hierarchical structure of WBS activity. The thesis also analyzes risk situations and procurement procedures and their financial value. The theoretical part serves as a basis for practical work. The second part is focused on practical use of knowledge, which are described in the theoretical part. There is described by the entity itself, which will carry out the investment plan and what needs to prepare and arrange before the project will be successfully completed. STEP analysis and SWOT are the practical part applied to a particular subject and their conclusions are then made the decision that the construction is necessary or not. Other methods, ie. critical path method, hierarchical structure, operations and risk analysis methods are no longer aimed at the very beginning and the realization of the investment project. This summary is presented in the final part.

PPP projects in the Czech Republic
Ječmínková, Libuše ; Žáková Kroupová, Zdeňka (advisor) ; Pavel, Pavel (referee)
The thesis deals with the economic evaluation of the appropriateness or inappropriateness in securing the construction and operation of community infrastructure projects. It particularly assesses the economic advantages and disadvantages of the construction and subsequent operation of a kindergarten in the village of Kamenný Újezd, both in the form of classic public contracts, and as a PPP project. The work is based on the real costs as the above mentined project has already been realised. At the same time, this work marginally addresses the demographic curve and municipalities in this context, the fact that the community could predict the shortage of places in the kindergarten well in advance, and resolve the situation in another way. Performing an economic analysis found that in this particular case the form of PPP does not seem economically advantageous, since it does not provide a value for money to make this form more profitable for the municipality than a conventional public contract.

Effectiveness of selected investment on municipal level
Gvizdová, Jana ; Mach, Jiří (advisor) ; Ivana, Ivana (referee)
The subject of this thesis is to evaluate the effectiveness of the investment project at the municipal level, which is building a center of social services in Jeseník. The theoretical part is focused on understanding the processes associated with investment decisions, financial analysis, financing sources and a list of major investment efficiency evaluation methods. The conclusion was devoted to possible risks of investment projects and their effective management. The practical part applies theoretical knowledge to real investment project. Feasibility study has been processed focusing on market analysis, technological project, human resources, organizational management and financial analysis. Socio-economic effects are expressed using cost-benefit analysis. Evaluation of the effectiveness and sustainability of the project is based on the cash flow of financial analysis, indicators of economic analysis and risk analysis. Based on the results obtained from the research are formulated specific investment recommendations.

Operating procedure of worker in crisis management center in case of an extraordinary event in He administrative division of extended reference township Prachatice.
PŮBAL, Přemysl
Security of citizens is one of the fundamental responsibilities of the state. Therefore, the crisis management system in the Czech Republic is one of the forms of the population protection guaranteed by the state. During its creation and operation cooperate appropriate bodies of the public administration, as well as legal and natural persons. In this thesis the readiness of smaller administrative units is assessed, such as municipality type I. (a municipality), municipality type II. (a municipality with authorized authority ) and especially municipality type III. (a municipality with extended scope). Despite the fact that the crisis management system in the Czech Republic is constantly evolving and is also supported by the legislative side, it is largely neglected at lower levels. Activities in this area are in many cases either postponed or in worse cases considered completely useless and their implementation will not take place. In relation with the exceptional situations the municipal authorities were entrusted with certain powers to deal with such situations. But on the other hand, different levels of municipalities are not distinguished in the cases of dealing with crisis situations. Problems arise in the areas of expertise, material and human resources, especially when the municipalities type I. do not have such resources to be capable of adequately respond in the event of a crisis situation. After all, there are better conditions in municipalities with extended scope, which are able, also due to the larger budgets within its administrative area, to ensure better crisis preparedness of municipality to an exceptional or crisis situation and its subsequent solutions associated with minimizing damages and eliminate the consequences of the action of an exceptional or crisis situation.The main objective of this thesis is to characterize the crisis management system in the Czech Republic. With the help of legislation and professional literature the theoretical part is focused on the explanation of basic terms, such as crisis management, a system of integrated rescue system, emergency and crisis planning, characteristics of the exceptional and crisis situation or crisis management authorities. Furthermore, the thesis is focused on the field of crisis management at the level of municipalities with extended scope, which describes both the scope and the various municipal bodies. It addresses the individual procedures of primarily smaller local government units in the prevention of municipality preparation for exceptional situations, participation of municipality on rescue and relief works and operations implemented in connection with the population protection. At last, the theoretical part contains the financial security operations related to the preparation of exceptional or crisis situations and to the rescue and relief work implementation.To meet the objectives of the thesis were established two research questions that address both the preparedness of humanitarian worker, as well as the possibility of drafting a proposal for a methodological procedure in dealing with crisis situation.

The effect of intelligent transport systems to increase the safety of inhabitants of villages (Libkov, Rozvadov, Kašperské Hory)
Sedlák, František ; Kocmánková Menšíková, Lucie (advisor) ; Zewdie, Retta (referee)
The aim of the thesis is to determine how Intelligent Traffic Systems (ITS) affects road safety and thereby contributes to increase the safety and quality of life in selected villages (Libkov, Rozvadov, Kašperské Hory) of Pilsen region. The theoretical part contains basic concepts of regional development and policy with a focus on road traffic, quality of life and safety of the population, and also description of devices which can be used as means to calm traffic and improve the safety of the population. Empirical part was done by developing a secondary analysis of data on accidents in road traffic and the impact of ITS on the safety of residents in selected villages. Secondary data analysis of the ITS revealed, that the main causes of drivers accidents in the Czech Republic (from 2014) are considered to be bad driving (62.9%) and speeding (17.5%). Libkov, Rozvadov and Kašperské Hory belong to project "Peaceful Border Areas", which aims to reduce speed on municipal roads and thus increase the safety of population in the villages using installed SYDO Traffic Zeus speed indicators. Thanks to the evaluation of these ITS has been found that in selected villages vehicles slowed down on average by 38.6%, leading to increased road safety and improved quality of life in Libkov, Rozvadov and Kašperské Hory villages.

The analysis of the weather impact on the shape and shift of the production frontier
Hřebíková, Barbora ; Čechura, Lukáš (advisor) ; Peterová, Jarmila (referee)
Although weather is a significant determinant of agriculture production, it is not a common practice in production analysis to investigate on its direct impact on the level of final production. We assume that the problem is methodological, since it is difficult to find a proper proxy variable for weather in these models. Thus, in the common production models, the weather is often included into a set of unmeasured determinants that affects the level of final production and farmers productivity (statistical noise, random error). The aim of this dissertation is to solve this methodological issues and find the way to define weather and its impacts in a form of proxy variable, to include this variable into proper econometric model and to apply the model. The purpose of this dissertation is to get beyond the empirical knowledge and define econometric model that would quantify weather impacts as a part of mutually (un)conditioned factors of final production, to specify the model and apply it. The dissertation is based on the assumption that the method of stochastic frontier analysis (SFA) represents a potential opportunity to treat the weather as a specific (though not firm-controllable) factor of production and technical efficiency. SFA is parametric method based on econometric approach. Its starting point is the stochastic frontier production function. The method was presented in the work of Aigner, Lovell and Schmidt (1977) and Meusen and van den Broeck (1977). Unlike commonly used econometric models, SFA is based on analysis of production frontier that is formed by deterministic production frontier function and the compound error term. The compound error term consists of two parts -- random error (statistical noise, error term) and technical inefficiency. Technical inefficiency represents the difference in the actual level of production of the producer, and the maximum attainable (possible) level that would be achieved if the producer used a particular combination of production factors in a maximum technically efficient way. Over time, it has been developed on a number of aspects - see time variant and invariant inefficiency, heteroscedasticity, measurement and unmeasured heterogeneity. Along with the DEA, SFA has become the preferred methodology in the area of production frontier and productivity and efficiency analysis in agriculture. Lately, it has been applied for example by Bakusc, Fertő and Fogarasi (2008) Mathijs and Swinnen (2001), Hockmann and Pieniadz (2007), Bokusheva and Kumbhakar (2008) Hockmann et al. (2007), Čechura a Hockmann (2011, 2012), and Čechura et al. (2014 a, b). We assume that the weather impacts should be analysed with regard to technical efficiency, rather than as a part of statistical noise. Implementation of weather in part of deterministic production function rather than in the statistical noise is a significant change in the methodical approach within the stochastic frontier analysis. Analysis of the weather impacts on the changes in the level of TE has not been greatly recorded in the associated literature and is, therefore, considered as the main contribution of this work for the current theory of production frontier estimation, or the technological effectiveness, in the field of agriculture. Taking into account other variables that are important for the relationship and whose inclusion would enhance the explanatory power of the model was part of the objective of this work.Thus, the possible effect of heterogeneity was taken into account when models were formulated and final results discussed. The paper first defined and discussed possible ways how to incorporate the effects of the weather into production frontier model. Assessing the possibility of inclusion of weather in these models was based on the theoretical framework for the development of stochastic frontier analysis, which defines the concept of technical efficiency, distance functions theory, stochastic production function theory and the methodology and techniques that are applied within the framework of SFA, which were relevant for the purpose of this work. Then, the weather impacts on the shape and shift of production frontier and technical efficiency of czech cereal production in the years 2004-2011 was analyzed. The analysis was based on the assumption that there are two ways how to define variables representing weather in these models. One way is to use specific climatic data, which directly describe the state of the weather. For the purpose of this thesis, the variables mean air temperature (AVTit) and sum of precipitation (SUMPit) in the period between planting and harvest of cereals in the individual regions of Czech republic (NUTS 3) were selected. Variables were calculated from the data on monthly mean air temperatures and monthly sums of precipitation on the regional levels provided by Czech hydro-meteorological institute CHMI. Another way to define weather variable is to use a proxy variable. In this dissertation, the calculation of climatic index (KITit) was applied. Climatic index was calculated as a sum of ratios between the actual yield levels and approximated yield levels of wheat, barley and rye, weighted by the importance of each plant in a cereal production protfolio in each region of the Czech republic. Yield levels were approximated by the linear trend functions, yield and weights were calculated with the use of data on regional production and sown area under individual grains by year at the level of regional production (NUTS 3) provided by Czech Statistical Office. Both ways of weather definition are associated with some advantages and disadvantages. Particular climatic data are very precise specificatopn of the actual weather conditions, however, to capture their impacts on the level of final production, they must be implemented into model correctly along with the number of other factors, which have an impact on the level of final production. Climatic index, on the other hand, relates the weather impacts directly to the yield levels (it has been based on the assumption that the violation from yield trends are caused by the weather impacts), though, it does not accomodate the concrete weather characteristics. The analysis was applied on unbalanced panel data consisting of the information on the individual production of 803 producers specialized on cereal production, which have each the observations from at least two years out of total 8-years time serie. Specialization on crop production was defined as minimum 50% share of cereal production on the total plant production. Final panel consists of 2332 observations in total. The values of AVTit, SUMPit a KITit has been associated with each individual producer according to his local jurisdiction for a particular region. Weather impacts in the three specified forms were implemented into models that were defined as stochastic production frontier models that capture the possible heterogeneity effects. The aim is to identify the impact of weather on shift and shape of production frontier. Through the defined models, the production technology and technical efficiency were estimated. We assume that the proposed inclusion in weather impacts will lead to a better explanatory power of defined models, as a result of weather extraction from a random components of the model, or from a set of unmeasured factors causing heterogeneity of the sample, respectivelly. Two types of models were applied to estimate TE - Fixed management model (FMM) and Random parameter model (RPM). Models were defined as translogarithmic multiple-output distance function. The analyzed endogene variable is cereal production (expressed in thousands of EUR). Other two outputs, other plant production and animal production (both expressed in thousands of EUR) are expressed as the share on cereal production and they appear on the right side of the equation together with the exogene variables representing production factors labour (in AWU), total utilized land (in acres), capital (sum of contract work, especially machinery work, and depreciation, expressed in thousands of EUR), specific material (represented by the costs of seeds, plants, fertilisers and crop protection, expressed in thousands of EUR), and other material (in thousands of EUR). The values of all three outputs, capital, and material inputs were deflated by the the country price indexes taken from the EUROSTAT database (2005=100). In Random parameter model, heterogeneity is captured in random parameters and in the determinants of distribution of the technical inefficiency, uit. All production factors were defined as a random parameters and weather in form of KITit enters the mean of uit and so it represents the possible source of unmeasured heterogeneity of a sample. In fixed management model, heterogeneity is defined as a special factor representing firm specific effects, mi. This factor represents unmeasured sources of heterogeneity of sample and enters the model in interaction with other production factors and the with the trend variable, tit.Trend variable represents the impact of technological change at a time t for each producer i. The weather impacts in form of variables AVTit a SUMPit is, together with production factors, excluded from the set of firm specific effects and it is also numerically expressed. That way weather becomes a measured source of heterogeneity of a sample. Both types of models were estimated also without the weather impacts specification in order to obtain the benchmark against which the effects of weather impacts specification on production frontier and technical efficiency is evaluated. Easier interpretation of results was achieved by naming all five estimated models as follows: FMM is a name of fixed management model that does not include specified weather variables, AVT is a name for fixed management model including weather impacts in form of average temperatures AVTit, SUMP is name of model which includes weather impacts in form of sum of precipitations SUMPit, RPM is random parameter model that does not account for weather impacts, KIT is random parameter model that includes climatic index KITit into the mean of inefficiency. All estimated models fullfilled the conditions of monotonicity and kvasikonvexity for each production factor with the exception of capital in FMM, AVT, SUMP and RPM model. Violating the kvasikonvexity condition is against the theoretical assumptions the models are based on, however, since capital is also insignificant, it is not necesary to regard model as incorrect specification. Violation of kvasikonvexity condition can be caused by the presence of other factor, which might have contraproductive influence on final production in relation to capital. For example, Cechura and Hockann (2014) mention imperfections of capital market as possible cause of inadequate use of this production factor with respect to technological change. Insufficient significancy of capital can be the result of incorrect specification of variable itself, as capital is defined as investment depreciation and sum of contract work in the whole production process and not only capital related to crop production. The importance of capital in relation to crop production is, thus, not strong enough to be significant. Except of capital are all other production factors significant on the significancy level of 0,01. All estimated models exhibit a common pattern as far as production elasticity is concerned. The highest elasticity is attributed to production factors specific and othe material. Production elasticity of specific material reaches values of 0,29-0,38, the highest in model KIT and lowest of the values in model AVT. Production elasticity of other material reahed even higher values in the range 0,40-0,47. Highest elasticity of othe material was estimated by model AVT and lowest by model KIT. Lowest production elasticity are attributed to production factors labour and land. Labour reached elasticity between 0,006 and 0,129 and land reached production elasticity in the range of 0,114 a 0,129. All estimated models displayed simmilar results regarding production elasticities of production factors, which also correspond with theoretical presumptions about production elasticities -- highest values of elasticity of material inputs correspond with naturally high flexibility of these production factors, while lowest values of elasticity of land corresponds with theoretical aspect of land as relativelly inelastic production factor. Low production elasticity of labour was explained as a result of lower labor intensity of cereals sector compared to other sectors. Production elasticity of weather is significant both in form of average temperatures between planting and harvest in a given region, AVTit, and form of total precipitation between planting and harvest in a given region, SUMPit. Production elasticity of AVTit, reach rather high value of 0,3691, which is in the same level as production elasticities of material inputs. Production elasticity of SUMPit is also significant and reach rather high lower value of 0,1489. Both parameters shows significant impact of weather on the level of final crop production. Sum of production elasticities in all models reach the values around 1, indicating constant returns of scale, RS (RSRPM=1,0064, RSKIT=0,9738, RSSUMP =1,00002, RSFMM= 0,9992, RSAVT=1,0018.). The results correspond with the conclusion of Cechura (2009) and Cechura and Hockmann (2014) about the constant returns of scale in cereals sector in Czech republic. Since the value of RS is calculated only with the use of production elasticities of production factors, almost identical result provided by all three specifications of fixed management model is a proof of correct model specification. Further, the significance of technological change and its impact on final production and production elasticities were reviewed. Technological change, TCH, represents changes in production technology over time through reported period. It is commonly assumed that there is improvement on production technology over time. All estimated models prooved significant impact of TCH on the level of final production. All specified fixed management models indicate positive impaact of TCH, which accelerates over time. Estimated random parameter models gave contradicting results -- model KIT implies that TCH is negative and decelerating in time, while model RPM indicates positive impact of TCH on the level of final production, which is also decelerating in time. It was concluded, that in case that weather is not included into model, it can have a direct impact on the positive direction of TCH effect, which can be captured by implementing weather into model and so the TCH becomes negative. However, as to be discussed later, random parameter model appeared not as a suitable specification for analyzed relationship and so the estimate of the TCH impact might have been distorted. The impact of technological progress on the production elasticities (so-called biased technological change) is in fixed management models displayed by parameters representing the interaction of production factors with trend variable. The hypothesis of time invariant parameters (Hicks neutral technological change) associated with the production factors is rejected for all models except the model AVT. Significant baised technological change is confirmed for models FMM and SUMP. Biased technological change is other material-saving and specific material-intensive. In the AVT model, where weather is represented by average temperatures, AVTit, technological change is not significant in relation to any production factors. In both random parameter models, rejection of hypothesis of time invariant parameters only confirms significance of technological change in relation to final crop production. Nonsignificant effect of technological change on production elasticity of labor, land and capital indicates a generally low ability of farmers to respond to technological developments, which can be explained by two reasons. The first reason can the possible complications in adaptation to the conditions of the EU common agricultural market (eg. there are not created adequate conditions in the domestic market, which would make it easier for farmers to integrate into the EU). This assumption is based on conclusion made by Cechura and Hockmann (2014), where they explain the fact that in number of European countries there is capital-saving technological change instead of expected capital-using technical change as the effect of serious adjustment problems, including problems in the capital market.. Second possible reason for nonsignificant effect of technological change on production elasticity of labor, land and capital is that the financial support of agricultural sector, which was supposed to create sufficient conditions for accomodation of technological progress, has not shown yet. Then, the biased TCH is not pronounced in relation to most production factors. Weather impacts (SUMPit, AVTit) are not in significant relation to technological change. Both types of models, FMM and RPM were discussed in relation to the presence of the heterogeneity effects All estimated random parameters in both RPM models are statistically significant with the exception of the production factor capital in a model that does not involve the influence of weather (model RPM). Estimated parameter for variable KITit (0,0221) shows significant positive impact of the weather on the distribution of TE. That way, heterogeneity in relation to TE is confirmed, too, as well as significant impact of weather on the level of TE. Management (production environment) is significant in all three estimated fixed management models. In models that include weather impacts (AVT, SUMP), the parameter estimates indicates positive, slightly decreasing effect of management (or heterogeneity, respectivelly) on the level of final crop production. In model FMM, on the contrary, first and second order parameters of mangement indicate also significant, but negative and decelerating effect of management (heterogeneity) on final crop production. If weather impact is included into models in form of AVTit, or. SUMPit, the direction of the influence of management on the level of final crop production changes. Based on the significance of first order parameter of management, significant presence of heterogeneity of analyzed sample is confirmed in all three estimated fixed management models. As far as the effect of heterogeneity on single production factors (so called management bias) is concerned, the results indicate that in case of model that does not include weather impacts (model FMM) the heterogeneity has positive impact on production elasticities of land and capital and negative effect on the production elasticities of material inputs. In models that account for weather impacts, heterogeneity has negative effect on production elasticities of land and capital and positive effect on the elasticity of material inputs. Heterogeneity effect on the production elasticity of labor is insignificant in all models FMM. In all three estimated models, the effect of heterogeneity is strongest in case of production factors specific and othe material, and, also, on production factor land. In case of FMM model, heterogeneity leads to increase of production elasticity of land, while in AVT and SUMP heterogeneity leads to decrease of production elasticity of land. At the same time, the production elasticity of land, as discussed earlier, is rather low in all three models. This fact leads to a conclusion that in models that accomodate weather impacts (AVT and SUMP), as the effect of extraction of weather from the sources of unmeasured heterogeneity, the heterogeneity has a negative impact on production elasticity of land. It can be stated that the inclusion of weather effects into the sources of unmeasured heterogeneity overestimated the positive effect of unmeasured heterogeneity on the production factor land in the model FMM. Management does not have a significant effect on the weather in form of SUMPit, while it has significant and negative effect on the weather in form of average temperature, AVTit, with the value of -0.0622**. In other words, heterogeneity is in negative interaction with weather represented by average temperatures, while weather in form of the sum of precipitation (SUMPit) does not exhibit significant relation to unmeasured heteregeneity. In comparison with the model that does not include weather impacts, the effect of heterogeneity on the production elasticities has the opposite direction the models that include weather. Compare to the model where weather is represented by average temperature (model AVT), the effect of management (heterogeneity) on the production elasticity of capital is bigger in model with weather represented by sum of precipitations (model SUMP) while the effect of management (heterogeneity) on the production elasticity of land and material imputs is smaller in model with weather represented by sum of precipitations (model SUMP). Technical efficiency is significant in all estimated models. The variability of inefficiency effects is bigger than the variabilty of random error in both models that include weather and models where weather impacts are not specified. The average of TE in random parametr models reaches rather low value (setting the average TE = 54%), which indicates, that specified RPM models underestimate TE as a possible result of incorrect variable specification, or, incorrect assumptions on the distribution of the error term representing inefficiency. All estimated FMM models results in simmilar value of average TE (86-87%) with the simmilar variability of TE (cca 0,5%). Technological change has significant and positive effect on the level of TE in the model that does not specify the weather impacts (model FMM), with a value of 0,0140***, while in the models that include weather in form of average temperatures, or sum of precipitations, respectivelly, technological change has a negative effect on the level of TE (in model AVT = -0.0135***; in SUMP = -0.0114***). It can be stated, that in the model where the weather impacts were not specified, the effect of TCH on the level of TE may be distorted, because the parameter estimate implies also a systematic influence weather in the analyzed period. The effect of unmeasured heterogeneity on the level of TE is significant in all three estimated fixed management models. In models AVT and SUMP, heterogeneity has a positive effect on the level of TE (in AVT = 0.1413 and in SUMP =0,1389), while in the model that does not include weather variable the effect of heterogeneity on the level of TE is negative (in FMM =-0,1378). In models AVT and SUMP, the weather impacts were extracted from the sources of unmeasured heterogeneity, and so from its influence on the level of TE (together with other production factors weather becomes a source of measured heterogeneity). The extraction of the weather from the sources of unmeasured heterogeneity leads to change in the direction of heterogeneity effects on the level of TE from negative (in model where weather was part of unmeasured heterogeneity) to positive. The direct impact of weather on TE is only significant in case of variable AVTit, indicating that average temperatures reduce the level of TE (-0.0622**). Weather in form of sum of precipitations does not have a significant impact on the level of TE. It is evident that incorporating the effects of weather significantly changes the direction of the influence of management on the production of cereals and the direction of influence on the management of production elasticity of each factor in the final model. Analogically with the case of the influence of heterogeneity on the production elasticity of land, it is stated that the weather (included in sources of unmeasured heterogeneity) played a role in the underestimation of the impact of heterogeneity on the overall cereal production. Also, in case that weather was not extracted form the sources of unmeasured heterogeneity would play significant role in underestimation of the effect of heterogeneity on the level of TE. Based on the results of parameters estimates, and on the estimate of average values of TE and its variability, it is concluded, that the effect of inclusion of weather into defined models does not have significant direct impact on the average value of TE, however, its impact on the level of TE and the level of final crop production is pronounced via effects of unmeasured heterogeneity, from which the weather was extracted by its specification in form of AVTit a SUMPit. The analysis results confirms that it is possible to specify the impacts of weather on the shape and shift of production frontier, and, this to define this impact in a model. Results Aaso indicate that the weather reduces the level of TE and is an important source of inefficiency Czech producers of cereals (crop). The model of stochastic frontier produkction function that capture the weather impact was designed, thereby the goal of the dissertation was met. Results also show that unmeasured heterogeneity is an important feature of czech agriculture and that the identification of its sources is critical for achieving higher productivity and higher level of final output. The assumption about significant presence of heterogeneity in production technology among producers was confirmed, and heterogeneity among producers is a significant feature of cereal sector. By extracting weather from sources of unmeasured heterogeneity, the impact of real unmeasured heterogeneity (all that was not extracted from its sources) and the real impact of weather on the level of TE is revealed. If weather was not specified in a model, the TE would be overestimated. Model in form of translogarithmic multiple-output distance function well approximates the relationship between weather, technical efficiency, and final cereal production. Analysis also revealed, that the Random parameter model, which was applied in case that weather impacts were expressed as an index number, is not the suitable model specification due to underestimating of the average level of TE. The problem of underestimation of TE might be caused by wrong variable definition or incorrect assumptions about the distribution of inefficiency term. Fixed management model, on the other hand, appears as a very good tool for identification of weather impacts (in form of average temperatures and sum of precipitations in the period between planting and harvesting) on the level of TE and on the shape and shift of production frontier of czech cereals producers. The results confirm the assumption that it is important to specify weather impacts in models analyzing the level of TE of the plant production. By specification of weather impactzs in form of proper variables (AVTit, SUMPit), the weather was extracted from the sources of unmeasured heterogeneity. This methodical step will help to refine the estimate of production technology and sources of inefficiencies (or, the real inefficiency, respectivelly). That way, the explanatory power of model increase, which leads to generally more accurate estimate of TE. Dissertation has fulfilled its purpose and has brought important insights into the impact of weather on the TE, about the relationship between weather and intercompany unmeasured heterogeneity, about the effect of weather on the impact of technological change, and so the overall impact of weather specification on the shape and shift of production frontier. A model that is suitable application to define these relationships was designed. Placing the weather into deterministic part of production frontier function instead of statistical noise (or, random error, respectivelly) means a remarkable change in the methodical approach within the stochastic frontier analysis, and, due to the fact that the analysis of weather impacts on the level of TE to this extent has not yet been observed in relevant literature, the dissertation can be considered a substantial contribution to current theory of the estimate of technical efficiency of agriculture. The dissertation arose within the framework of solution of the 7th FP EU project COMPETE no 312029.

Project management - implementation of changes in data warehouse in a selected company
Hanilec, Jakub ; Fejfar, Jiří (advisor) ; Petr, Petr (referee)
The thesis is focused on project management, specifically on the design of the process solution of project - The implementation of changes in a data warehouse in a selected company. The first is defined theoretical background needed to design the solution. The first part of the solution starts with a brief introduction of chosen company and its data warehouse department. This introduction includes basic information about data warehouse itself. Next are defined conditions that have an effect to the form of the project management process. Those conditions are the criteria, form and environment of release management and change requests. The solution design is based on those criteria and it using elements of PRINCE2 methodology. The organization structure of project is built first. The life cycle of project follows with its key milestones. The project management process is divided into phases according to the project lifecycle. The inputs, outputs, process activities diagrams and responsibility matrix are defined for each phase. The result of the solution is evaluated and compared against the PRINCE2 methodology from which it came from.