Spatial analysis of the availability of statistical data on innovation indicators based on the construction of binary matrices (the case of Russian regions)

Author(s):  O.V. Vaganova, Dr., associate Professor, Belgorod National Research University, Belgorod, Russia

Sizyoongo Munenge, Federal State Autonomous Educational Institution of Higher Education «Belgorod National Research University», Belgorod, Russia

Issue:  Volume 45, №1

Rubric:  Investment and innovations

Annotation:  The article presents data on 16 indicators of innovation statistics distributed according to Russian regions with reference to their availability or absence on levels of 2005,2008,2011 and 2014, resulting in the formation of 4 binary matrices. On their basis a dense sub-matrices consisting of units have been constructed which indicate the availability of data on innovation statistics for selected indicators and regions. For an initial binary matrix of dimension 83x16 (2005), a dense sub-matrix of dimension 36 x16 has been obtained through a matrix dimension of 49 x 16 at a level of 2014 indicating an improvement of data completeness of innovation statistics in the framework of all Russian regions. Nevertheless, as expected the worst situation on the data completeness of innovation statistics has been observed for the Northern and Eastern regions, but for the ten-year period there has been observed a positive dynamics on the improvement of data completeness

Keywords:  spatial analysis, statistical data, innovation indicators, binary matrices, Russian regions

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