"Scientific research" Almanac

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  MODERN DIMENSIONS OF THE MANAGEMENT OF TOURIST DESTINATION BULGARIA

  The development of tourism is related to the need to manage tourist destinations. Tourist business faces issues related to establishing tourists' preferences and identifying their motives. The solutions are related to the consumer behaviour and preferences of the tourists, the resources of the region, the attractiveness of the area, the offered ... The development of tourism is related to the need to manage tourist destinations. Tourist business faces issues related to establishing tourists' preferences and identifying their motives. The solutions are related to the consumer behaviour and preferences of the tourists, the resources of the region, the attractiveness of the area, the offered complex product and the organisational precision. The objective of the research is to study empirically the state of tourist destination Bulgaria. Then, based on the results of this research, the authors focus on outlining the existing problems and the complex of strategic management decisions related to the possible prospects for sustainable development of Bulgaria and its establishment as a year-round tourist destination with many natural and anthropogenic features suitable for the development of different types of tourism. The tasks assigned by the authors include: highlighting the features of the tourist destination and its management; revealing the impact of tourism policy on the development of the tourist destination; assessing the state of tourist destination Bulgaria through the prism of tourists and experts from district/municipal administrations and local tourism organisations; formulating proposals to solve the problems concerning the destination through adequate management. A survey questionnaire was administered to collect data from the tourists in the administrative districts of Dobrich, Bourgas, V. Tarnovo, Gabrovo, Plovdiv and Pazardzhik. Representatives of the regional and municipal administrations and associations working on the problems of tourism on the territory of the Republic of Bulgaria were also interviewed.

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  TRENDS AND CHALLENGES TO MOTOR INSURANCE IN THE CONDITIONS OF DYNAMIC ECONOMIC DEVELOPMENT

  The present study focuses on the results of a survey on car insurance in Bulgaria carried out in 2018, under project No.6-2018 at the Institute for Scientific Research. The main objective of the survey is to outline the state of the motor insurance market in Bulgaria after the adoption of the Insurance Code. Emphasis is placed on the state and ... The present study focuses on the results of a survey on car insurance in Bulgaria carried out in 2018, under project No.6-2018 at the Institute for Scientific Research. The main objective of the survey is to outline the state of the motor insurance market in Bulgaria after the adoption of the Insurance Code. Emphasis is placed on the state and development of premium income and insurance benefits. The thesis is that motor insurance is a decisive factor for the formation of premium income and the development of insurance companies. The thesis has been proven by solving the following important tasks: - outlinå the state and trends in the development of the insurance market for the period 2005-2017; - outline the state and trends in the development of motor insurance for the period 2005-2017; - outline the relationship between the automotive sector and the motor insurance performance indicators for the period 2005-2017. Based on the study, the following important results were achieved: the rate of growth of premium income and insurance payments on the insurance market lagged behind that of the motor insurance. The pace of development of Casco insurance outpaced the pace of developing Motor Third Party Liability insurance. Proposals were formulated to solve the problems in the research findings. Within the survey period, the average insurance premium on motor insurance was on the increase, as well as the scope of motor insurance.

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  MEASURING POVERTY IN BULGARIA: STATISTICAL ASPECTS

  Fighting poverty and social exclusion is among the biggest issues of modern social development and a priority of the social policy at both national and European level. The main goal of this paper is to explore the statistical dimensions of poverty in Bulgaria via theoretical justification and empirical analysis of the level, dynamics and ... Fighting poverty and social exclusion is among the biggest issues of modern social development and a priority of the social policy at both national and European level. The main goal of this paper is to explore the statistical dimensions of poverty in Bulgaria via theoretical justification and empirical analysis of the level, dynamics and determining factors of poverty for the period 2008–2017. The research thesis of the study is that the Gini coefficient and the multiple binary logistic regression models are appropriate analytical tools for analyzing the relationships and identifying the part of the population that is at risk of poverty and social exclusion. In this paper, we present the conceptual basis of poverty as a subject of the statistical analysis. We clarify the organizational and methodological aspects of the data provision. We have performed empirical analysis of the dynamics and factor relationships of poverty in Bulgaria on the basis of the statistical information, obtained from NSI and Eurostat. We have developed multiple regression models and estimated the socio-demographic conditions of poverty. The main results of the study can be summarized in several areas. The application of the statistical approach is a necessity for identifying the level and the factor relationships of poverty. The quantitative measure of poverty is based on comprehensive statistical information that is collected in accordance with the Eurostat methodology and adapted at a national level by the NSI. The dynamics of the Gini coefficient reveals that income inequality of the population is rising. The multiple logistic regression model states that the impact of the variables “gender”, “age” and “region” are statistically significant. The derived probabilities and odds ratios can be used in developing policies for poverty reduction.