| Abstract [eng] |
In final master‘s project Constant Market Share Analysis method was applied on world export data. This method allows to calculate trade competitiveness, geographic and product structure, adaptation to demand changes and other effects while knowing relative change of market share. Constant Market Share Analysis is used in international trade strategy, competitiveness, and other economical and management studies research. It helps to find problematic points of strategies and leads to other deeper analysis of them. Although method received a lot of critisism for computation ways and results interpretation. While analysing export data, many problems occur that are defined as big data V problem such as data volume, variability, veracity, vizualization and value. Because of development of technologies and computers there are more posibilities for deeper analysis of processes, which is important for business and managers. In this project data was prepared for analysis, also lack of data records and information was evaluated on different sector levels. Cases with zero export values in one of the observed periods were handled by replacing zero with relatively small value just to execute calculations. Also methods that return results as absolute and relative values were compared. Method that returns relative values was chosen for further analysis because of better given view of world trade. Programing tool that was made in this project shows not only view of country‘s export situation, but also by their product sector. As investigating export of Estonia, Latvia and Lithuania, five sectors were choosen to evalute and from obtained competitiveness, product, market and residual effects, conclusions can be made that some strategies should be changed considering opportunities and disadvantages of those trades. |
