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Huvudsyftet med denna uppsats är att förstå vad det finns för olika prioriteringar bland Visit Sweden och de regionala DMO:s när det kommer till en inriktning av den inkommande internationella turismen till Sverige. Vidare är vårt delsyfte att ta reda på hur samarbetet mellan Visit Sweden och de regionala destination managementorganisationer, s.k. DMO:s, förhåller sig och hör ihop med varandra. Vi har använt oss utav kvalitativ metod med olika former av intervjuer från de utförda intervjuerna med Visit Sweden och det regionala DMO:s samt även textmaterial från Visit Swedens webbsida. Teorierna är vetenskapliga artiklar som vi anser anknyter till det valda ämnet samt den insamlade empirin.  I resultaten utifrån den insamlade empiri framgår det att Visit Sweden inte ser själva att de väljer specifika marknader, men att de erkänner att de väljer fokusmarknader när det gäller de olika länderna. Visit Swedens val handlar bl.a. om de ser en potential att resenärer i respektive länder vill besöka Sverige. Detta kan ändras över tid beroende på interna och externa faktorer. De utgår främst utifrån deras målgrupp den Globala resenären som enligt deras marknadsanalyser kan appliceras på flera olika länder som inte ingår i deras fokusmarknader. Det som också styr deras val av marknader och marknadssegment är deras ägare svenska staten och svensk turism AB, men också olika turismaktörer såsom små och stora, som t.ex. hotell som efterfrågar att få hjälp med marknadsföring gentemot internationella turister. Gällande hur de regionala DMO:s prioriteringar ser ut i förhållande till Visit Sweden kan vi konstatera att de flesta prioriterar likartat i förhållande till Visit Sweden. Däremot ser vi ett mönster då de regionala DMO:s som inte delar samma val av fokusmarknader väljer att marknadsföra sig på andra sätt. Detta görs trots det finns en möjlighet för samarbete med Visit Sweden även om fokusmarknaden inte är densamma. / Our main purpose with this bachelor thesis is to get an understanding of which different orientations currently exists when it comes to the incoming international tourism to Sweden. Furthermore, we want to find out how the collaboration between Visit Sweden and the regional destinations management organizations, called DMO:s is structured in relation to each other. We have chosen a qualitative method which includes several different types of interviews with Visit Sweden and the regional DMO:s as well as text material from Visit Sweden's website. The theories are scientific articles which we consider are suitable to our chosen subject and empirical data.     The results based on the collected empirical evidence show that Visit Sweden does not see that they have choose specific markets, but they admit that they choose focus markets when it comes to countries. Among other things, Visit Sweden's choice is about when they see a potential that travelers in each country want to visit Sweden. This can change over time depending on internal and external factors. They are based primarily on their target group Global Traveler who according to their market analyzes can be applied to several different countries that are not included in their focus markets. What also controls the selection of markets and market segments are their owners the Swedish state and Swedish tourism AB, but also various tourism stakeholders such as small and large, for example hotels who seek help with marketing towards international tourists. When it comes to how regional DMO:s prioritize compared to Visit Sweden we can conclude that several of them prioritize in the same way as Visit Sweden. However, we see a pattern when regional DMO:s who do not share the same choice of focus markets choose to market themselves in other ways than cooperating with Visit Sweden. This happens despite of the fact that there is an opportunity for collaboration with Visit Sweden still even if their focus market is not the same.

The study about the way companies structure their policy of financing has been the object of study of several researches, which have originated theories that consider different attributes as determinants of capital structure. However, due to the diversity of factors that can influence the companies decision-making process, none of them could demonstrate precisely the financing mix that companies should use in order to achieve their optimal value. One of these approaches, the Pecking Order theory, which focuses on the informational asymmetry as an important determinant of the capital structure of companies. The aim of this study is to analyze the influence of this informational component in the capital structure of the companies that comprise the special segments of São Paulo Stock Exchage (Bovespa), which were created in 2001 with the aim of distinguishing the companies by the compliance with corporate rules such as the increasing dissemination of information as well as companies that comprise the Traditional Group. To achieve the aim, the methodology of panel data analysis has been used, which has allowed the analysis of the influence of control variables (tangibility, size, profitability, risk and market value) and proxies and dummies related to informational asymmetry in the indebtedness of companies which comprise the special segments: New Market, Levels 2 and 1 of Corporate Governance, and also companies which belong to the Traditional Group. Therefore, the analysis was carried out in two periods: P2, from 2001 to 2013, and P1, from 2007 to 2013. The results demonstrated that in companies, which have adhered the segments of Bovespa, the indebtedness has been used in a lesser extent, furthermore, the proxies related to informational asymmetry have shown negative signals and statistically significance in the segments in which the diffusion of information is more rigid, New Market and Level 2 of Corporate Governance. / O estudo sobre a forma com que a empresa estrutura sua política de financiamento tem sido objeto de estudo de várias pesquisas, as quais deram origem às teorias que levam em consideração diferentes atributos como determinantes da estrutura de capital. Entretanto, devido à diversidade dos fatores que podem influenciar o processo decisório das empresas, nenhuma delas conseguiu com exatidão explicar o mix de financiamento que as empresas devem utilizar para alcançar o valor ótimo. Uma dessas abordagens, a teoria do Pecking Order, a qual foca na assimetria informacional como um importante determinante da estrutura de capital das empresas. No presente estudo, busca-se analisar a influência desse componente informacional na estrutura de capital das empresas que compõem os segmentos especiais da Bovespa, os quais foram criados em 2001 com o objetivo de diferenciar as empresas por meio do cumprimento de regras societárias, como a maior divulgação de informação, bem como das empresas que compõem o Grupo Tradicional. Para o alcance do objetivo foi utilizada a metodologia de análise de dados em painel, a qual permitiu a análise da influência de variáveis de controle (tangibilidade, tamanho, rentabilidade, risco e valor de mercado) e proxies e dummies relacionadas à assimetria informacional no endividamento das empresas que compõem os segmentos especiais: Novo Mercado e Níveis 2 e 1 de Governança Corporativa, e das empresas pertencentes ao grupo Tradicional. Para tanto, a análise foi realizada em dois períodos: P2 correspondente aos anos de 2001 a 2013 e, P1 referente ao período 2007 a 2013. Os resultados demonstraram que nas empresas que aderiram aos segmentos da Bovespa, o endividamento foi utilizado em menor escala, além disso, as proxies relacionadas à assimetria informacional apresentaram sinais negativos e estatisticamente significativos nos segmentos em que a divulgação de informações é mais rígida, Novo Mercado e Nível 2 de Governança Corporativa.

The aim of this thesis is to proces a digest about a status of real estate market in the region of Strakonicko. While proceeding the given topic I first made a literary background research, which is above all engaged in the explanation of basic terminology connected with the real estate market and also in the theoretical description of individual segments of the market. Furthermore, I prescribed a methodology, which I later acted upon during a creation of my own thesis. In the practical part of the thesis I first of all created a detailed characteristics of the researched area and identified characterisctics of a full area. I focused especially on unemployment, job opportunities, population, infrastructure and other elements which can influence the prices of real estates. I divided the researched area into three parts according to the biggest towns in the region. In each of these I observed the prices of real estates in the individual segments. Concretely what is discussed here is the market with flats, detached houses, building ground and commercial real estates. I stated qualitative, build-technical, urbanistic and economic characteristics of agents for individual segments. Afterwards I numerically represented a price range of individual groups of real estates and analysed a real estate market.