Methodology of Multivariate Statistical Analysis in Evaluating the Factors of Region’s Innovative Activity

Olga N. Soboleva (), Tatiana A. Burtseva (), Elena A. Barmina (), Elena V. Ganebnykh () and Polina V. Tokareva ()
Additional contact information
Olga N. Soboleva: Vyatka State University
Tatiana A. Burtseva: Vyatka State University
Elena A. Barmina: Vyatka State University
Elena V. Ganebnykh: Vyatka State University
Polina V. Tokareva: Vyatka State University

A chapter in Overcoming Uncertainty of Institutional Environment as a Tool of Global Crisis Management, 2017, pp 565-574 from Springer

Abstract: Abstract Determination of the factors’ influence on economic development of region is the most important issue, solution of which will allow selecting the most effective directions of investing and determining the highest risks on the path of realization of measures aimed at territories’ development. The offered methodology of multivariate statistical analysis allows determining the influence of factors of region’s innovative activity on the formation of gross regional product.

Keywords: Q18; Q17; Q13; Innovative activity; Gross regional product; Correlation analysis; Regression analysis; Region’s economy (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:conchp:978-3-319-60696-5_71

Ordering information: This item can be ordered from
http://www.springer.com/9783319606965

DOI: 10.1007/978-3-319-60696-5_71

Access Statistics for this chapter

More chapters in Contributions to Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().