2 resultados para descriptive statistics
em Instituto Politécnico de Bragança
Resumo:
This research presents a study aimed to evaluate the performance and competitiveness of tourist destinations in Portugal and Belarus within regions. The evaluation was performed under an analytical tool, Market Share Analysis proposed by Faulkner (1997). In addition, it was used some descriptive statistics. The conducted analysis concluded, with respect to the evolution of the destinations tourism that Açores Island is the most prosperous market for the majority of countries, because most countries staid in the zone of Performing market. North, Lisbon and Algarve regions are maturity markets for the most countries, because they stay in Stagnant markets zone. Centre and Alentejo regions could be attributed Emerging markets for the majority of countries once are developing markets. The major market share is occupied by Portugal practically for all regions, except islands. It is also necessary to underline, that the research was made only within two years (2013 and 2014), because of the lack of necessary information in previous years. In the case of Belarus, it could be mentioned, that rural market of this country is developing (but still mostly with neighbour countries), because the number of entities, participating in rural tourism is growing as the number of foreign tourists.
Resumo:
Nowadays entrepreneurship is one of the main key objects in internal policy of each country. More and more women start doing their own business and thus become integral participants of entrepreneurial activities. However, despite of the abundance of various scientific publications, female entrepreneurship is poorly understood phenomenon, which is needed to be carefully scrutinized. The general purpose of this work is to describe and analyse such phenomenon as female entrepreneurship generally in the world and separately and mainly in Belarus. Indeed, it intends to determine the factors that drive women's entrepreneurship in Belarus. The findings are supported by literature, gathered from different scientific researches and actual statistical data. The data used in the empirical part was collected from World Bank Enterprise Surveys and comprises the responses of representatives of 360 companies selected randomly from the population of the Belarus companies. With the help of descriptive statistics and the application of logistic regression simple models to determine which economic, social, fiscal and legal environmental factors impact on female entrepreneurial activity was possible to understand the female involvement in business activities and society of the country.