Tag: Development

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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MODELING THE PROCESSES OF REGIONAL DEVELOPMENT BASED ON GEOSTATISTICS METHODOLOGY

Tatyana V. YALYALIEVA

Candidate of Economic Sciences, e Professor of the Department of Management and Law, Volga State University of Technology, Russia, Yoshkar-Ola

yal05@mail.ru

Dmitry L. NAPOLSKIKH

Candidate of Economic Sciences, Associate Professor of the Department of Management and Law, Volga State University of Technology, Russia, Yoshkar-Ola

NapolskihDL@yandex.ru

Abstract

Paper deals with the economic essence of the main elements of geostatistics, study solves problems of spatial modeling regional development based on geostatistics and methodology of clusters. The purpose of this research is to adapt deterministic methods of geostatistics to the spatial modeling of regional industrial clusters. Particular attention is given to practical application of geostatistics methods for visualizing the monitoring network and its cluster structure. The paper offers model of industrial clusters of the Tatarstan Republic (region of Russian Federation) based on interpolation of data monitoring network, Delaunay triangulation and construction of Voronoi polygons.

Keywords: development, industrial clusters, spatial modeling, geostatistics

JEL classification: O1, R58

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THE ROLE OF INNOVATION IN COMPETITIVENESS AND CONVERGENCE PROCESS: A BENCHMARKING STUDY FOR EUROPEAN REGIONS

George M. Korres

Visiting Fellow, University of Newcastle, Centre of Urban and Regional Development Studies, CURDS, Newcastle, United Kingdom, George.Korres@ncl.ac.uk and Associate Professor at the University of Aegean, Department of Geography, Email: gkorres@hol.gr and gkorres@geo.aegean.gr

and

Aikaterini Kokkinou

Department of Economics, University of Glasgow, Adam Smith Building, G12 8RT, Glasgow, United Kingdom, E-mail: a.kokkinou.1@research.gla.ac.uk

Abstract:

Globalization and competition has shifted the comparative advantage of economies towards the factor of knowledge and innovation, where productivity based on the endogenous development capabilities plays a rather important role, as far as growth and competitiveness enhancement are concerned. In order to promote innovation activities and technological opportunities, productivity enhancement seems to have significant effects on the long run performance of the economy. Within this framework, the enhancement and convergence of growth and productivity are a major topic in the economic and social policy agenda of E.U. members, since governments seek to concentrate on problems not only related to low employment growth, high unemployment, fiscal deficits and public debt, but also to national disparities and convergence attainment. This paper aims to review the main topics related to innovation activities, as well as competitiveness and economic convergence attainment. It also attempts to analyze, using a benchmarking approach, the effects of innovation activities, in order to clarify the related implications on regional convergence process.

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