Investment Attractiveness Determinants in Regions: an Analysis of Branch Special Aspects

Student: Kochkina Tatiana

Supervisor: Roman N. Bozhya-Volya

Faculty: Faculty of Economics, Management, and Business Informatics

Educational Programme: Finance (Master)

Final Grade: 7

Year of Graduation: 2016

A branch special aspect of investment attractiveness determinants in regions are analyzed using the regression analysis. The objects of study are 82 Russian regions. The main source of data is government statistics indicators. Investment attractiveness is explained by agglomeration, spatial correlation, plant concentration, regional fiscal spending, and human capital and infrastructure indicators. As a result of various modifications of the models evaluation, various determinants have been identified for various branches. Then results were tested for robustness, regions were ranked for the control of the results. The testing of model on Russian data has allowed verifying the investment attractiveness determinants in regions and important branch features. As a result, the influence of plant concentration, agglomeration and spatial correlation were identified by model validations and ranking of regions.

Full text (added May 23, 2016)

Student Theses at HSE must be completed in accordance with the University Rules and regulations specified by each educational programme.

Summaries of all theses must be published and made freely available on the HSE website.

The full text of a thesis can be published in open access on the HSE website only if the authoring student (copyright holder) agrees, or, if the thesis was written by a team of students, if all the co-authors (copyright holders) agree. After a thesis is published on the HSE website, it obtains the status of an online publication.

Student theses are objects of copyright and their use is subject to limitations in accordance with the Russian Federation’s law on intellectual property.

In the event that a thesis is quoted or otherwise used, reference to the author’s name and the source of quotation is required.

Search all student theses