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Using Statistical Methods to Diagnose the Innovative Development of Siberian Regions

Year: 2013

Type: preprint

Abstract: The paper studies methodological aspects of innovative development diagnostics of a region. These aspects are illustrated by results of factor, regression and cluster analyses of the innovative development indicators that are used to create innovation profiles of Russia and Siberian Federal District in 2007 and 2010. Differences in the set of factors and indicators that statistically explain the innovative development in the country and the region in different years are demonstrated. Using cluster analysis three groups of Siberian regions with similar innovation profiles are established. Regressions of gross regional product on the innovative activity indicators of the Siberian regions and Russia are built.

Source: SSRN Electronic Journal

Authors: Maria Kaneva, Г. А. Унтура

Institutions: Russian Academy of Sciences, Gaidar Institute for Economic Policy, Institute of Economics and Industrial Engineering, Novosibirsk State University

Language: English

Topic: Economic and Technological Developments in Russia

Subfield: Development

Field: Social Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W1481623399

Cites: 3

Cited by:

Related to: 10