"Scientific research" Almanac

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  IDENTIFYING THE FACTORS WHICH INFLUENCE THE FISCAL CAPACITY OF THE BULGARIAN MUNICIPALITIES

  The aim of study is to reveal the current status of the reforms in Bulgaria as well to define the factors influencing the financial capacities of the Bulgarian municipalities. This will consequently define the capacity of the local self-government to provide adequate public services in the new economic environment. To these ends the study employs ... The aim of study is to reveal the current status of the reforms in Bulgaria as well to define the factors influencing the financial capacities of the Bulgarian municipalities. This will consequently define the capacity of the local self-government to provide adequate public services in the new economic environment. To these ends the study employs various scientific methods and approaches: the comparative method, the observational method, the descriptive method, the regression-correlative approach. The main research thesis is related to studying the factors whose adequate control is a prerequisite for optimization of the quality and quantity of the local public services. The following results are outlined in the theoretical and empirical research in the study: defines the importance, types and specific traits of decentralization as a managerial concept. It also clarifies the distinction between financial and fiscal decentralization, analyzes the local government reforms and identifies the factors influencing the municipal revenue from business activities and fees. The topical nature of the study arises from the growing importance of the local government. The collabo-ration between the central and the local government is essential for the municipalities in the Republic of Bulgaria. In this context a proper decentralization policy would be a significant factor for the optimization of the financial decision-making in the public sector.

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  ECONOMIC EFFECTS OF THE KYOTO PROTOCOL ON THE FDI ATTRACTIVENESS OF THE NATIONAL ECONOMY

  In this study we investigate the economic consequences of environmental policy and in particular the impact of the Kyoto Protocol on the attractiveness of the national economy for FDI. We propose several alternative indicators for evaluation the strictness of environmental policy. The indicators are used in specifying an econometric model. We use ... In this study we investigate the economic consequences of environmental policy and in particular the impact of the Kyoto Protocol on the attractiveness of the national economy for FDI. We propose several alternative indicators for evaluation the strictness of environmental policy. The indicators are used in specifying an econometric model. We use this model for measurement of the economic impacts of the Kyoto protocol enforcement on the level and destination of the FDI in pollution intensive sectors. We find a strong correlation between FDI level and strictness of environmental policy measured with the carbon intensity of the host country economy. We use the model for assessment the economic impacts of Bulgaria’s accession to the European emissions-trading scheme.

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  USING DATA MINING PREDICTIVE MODELS AND ALGORITHMS FOR STUDENT RELATIONSHIP MANAGEMENT IN HIGHER EDUCATION

  The goal of all higher educational institutions is quality assurance in education. One way to reach this goal is by improving the decision-making procedures on the basis of predictive models that give knowledge and understanding of the various administrative and educational processes. Usually this meaningful knowledge is hidden among the ... The goal of all higher educational institutions is quality assurance in education. One way to reach this goal is by improving the decision-making procedures on the basis of predictive models that give knowledge and understanding of the various administrative and educational processes. Usually this meaningful knowledge is hidden among the educational database. The current research is focused on the examination of the possibilities to adapt the industrial data mining technology to customer relationship management and administration in higher education. Based on data mining predictive algorithms, a model for analytical student relationship management is designed and implemented in real world higher educational institution (Tsenov Academy of Economics).