Expenditure on technological innovation of organisations by type of innovation activity by constituent entities of the Russian Federation in 2017
million rubles
In 2017, organizations in various Russian regions spent on developing new products and technologies and modernizing existing processes. The table shows total expenditures on technological (product and process) innovations and the share of internal R&D expenditures in total innovation spending. Data are presented in million roubles and cover all constituent entities of the Russian Federation
Distribution of organizations' expenditures on technological innovations by constituent entities of the Russian Federation in 2017
Set in numbers
Rosstat data. Rows: 96, indicators: 2. Unit of measurement — million rubles. Shown by items: Russian Federation; Central Federal District; Belgorod Oblast; Bryansk Oblast; Vladimir Oblast and others
The five largest values: Russian Federation (1.4 million), Central Federal District (457 472), Moscow (194 205), Northwestern Federal District (142 734), Moscow Oblast (136 251). The gap between the largest and smallest is 20 495 times. The top five account for 94.7% of the total for all items — the distribution is heavily skewed toward the top
All table numbers are series: 96
How to read this table
Table rows vary in detail level: data are provided for the Russian Federation as a whole, federal districts, and specific regions. Comparisons should consider both total expenditure volumes and the share of internal R&D expenditures in total innovation investments. Note the investment structure: where most funds go to in-house development and where spending is concentrated on acquiring ready-made solutions
What is visible in these numbers
Indicators of the set: Expenditures on technological (product, process) innovations; of them
50 out of 50 possible values are filled (100%), meaning the table is almost entirely filled
The same indicator in other breakdowns (1)
More in the section Science, innovation and technology»
Period and application
The materials cover 2017 and provide a snapshot of data for that year. Such information is updated annually in summary statistical compilations. The data are useful for analysts, investors, and government bodies to assess regional innovation potential, identify the most and least active territories, and make decisions on supporting promising areas
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