ESTIMATION OF REGION’S INTELLECTUAL CAPITAL BASED ON THE SYSTEM OF INDICATORS: CASE OF THE RUSSIAN FEDERATION

Anna MALTSEVA

Candidate of Economic Sciences, Director of Lurye Scientific and Methodological Center for Higher School Innovative Activity, Tver State University, Tver,

80179@list.ru

Igor VESELOV

Candidate of chemical sciences, Senior researcher in Lurye Scientific and Methodological Center for Higher School Innovative Activity, Tver State University, Tver

igor.veselov@mail.ru

Evgeny BUKHVALD

Doctor of Economic Sciences, professor, Institute of Economics of Russian Academy of Sciences, Moscow

buchvald@mail.ru

Abstract

The paper presents an analytical review of modern sources on the issues of determining, classifying and evaluating a region’s intellectual capital. The study identified the most common approaches to intellectual capital assessment, which need to be adjusted taking into account the specificity of the statistical reporting of the Russian Federation, and also because of the need for detailing certain types of intellectual capital. The authors proposed their own approach to assessing a region’s intellectual capital using a system of indicators based on the calculation of the integral indicator tested on the example of the Russian Federation’s regions. The authors have compiled a map of the intensity of the intellectual capital of the Russian Federation’s regions, which is the basis for their comparison by the magnitude of the studied indicator, as well as benchmarking of the key areas of its development for outsider regions.

Keywords: intellectual capital, region, development, competitiveness, knowledge, knowledge economy

JEL classification: R19
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ESTIMATE OF AN AVERAGE SITUATION OF REGIONS IN VALUE CHAINS

Evgenii LUKIN

Candidate of Sciences (Economic), Deputy Department Head, Vologda Research Center of the RAS, Russia

lukin_ev@list.ru

Abstract

The article considers an indicator that reflects an average position of industries and regions in value chains. It shows high differentiation of territorial distribution of its values in Russian economy. It determines a strong correlation between GRP per capita and an upstreamness index in the economy of Russian regions. The paper compares obtained results with the data on US economy.

Keywords: region, upstreamness, value chains, GRP

JEL classification: O18
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A NOTE ON OPTIMAL INCOME REDISTRIBUTION IN A CREATIVE REGION

Amitrajeet A. BATABYAL

Department of Economics, Rochester Institute of Technology, 92 Lomb Memorial Drive, Rochester, NY 14623-5604, USA.

aabgsh@rit.edu

Abstract

We study optimal income redistribution in a region that is creative in the sense of Richard Florida and thereby extend aspects of the recent analysis in Batabyal and Beladi (2017). Using the terminology of these researchers, members of the creative class are either artists or engineers. This bipartite grouping stems from the manner in which creative capital is acquired by the artists and the engineers. Specifically, we show that when the savings rates of the artists and the engineers comprising the creative class satisfy a particular inequality, it is possible for a regional authority (RA) to uniquely redistribute income between these two groups in a way that achieves the so called “golden rule” stock of physical capital.

Keywords: Creative Capital, Creative Class, Golden Rule, Income Redistribution, Region

JEL classification: R11, D31

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