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Student
Title
Supervisor
Faculty
Educational Programme
Final Grade
Year of Graduation
Ekaterina Koroleva
Factors of Company's Value Growth: a Case Study of Agricultural Sector
Economics
(Bachelor’s programme)
7
2017
The effectiveness of agricultural companies in the context of Russian realities is one of the most interesting and least studied areas for carrying out the research in the economic and managerial aspect. In contemporary world, huge number of people have forgotten how important it is to support the sustainable development of domestic producers, despite the declining share of agriculture in the country's gross domestic product.

In this final qualifying work, the existing business assessment methods were studied in order to determine a single approach for calculating the value of all agricultural producers belonging to large enterprises. The purpose of the study is to identify the relationship between the value of enterprises and the indicators that characterize the internal financial state and also examine whether there is significant impact of macroeconomic factors on the change in value. To achieve this goal, the following tasks were required:

1. Analyze theoretical approaches to the valuation of the companies.

2. To consider agricultural market before the implication of the food embargo and during its validation.

3. Collect a database of agricultural enterprises.

4. Select the methodology and calculate the cost for sampling companies.

5. Determine main factors affecting the change in the calculated value.

6. Create econometric models and evaluate their accuracy, choosing the best specification.

7. Draw conclusions and analysis on the results.

In the first chapter, features of agricultural sector, impact of the modern market conditions on the activities of enterprises are considered. The second chapter describes the methodology for assessment of the value of companies, then the type of value that will be later calculated is selected. The last chapter includes creating suitable model and analyzing the significance of the variables. As a result, we obtained a regression equation of dependence on 6 endogenous and 1 exogenous variables.

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