Tag: R19

IS STABILITY FOR REGIONAL DISPARITIES OF UNEMPLOYMENT RATES TRULY MYSTERIOUS? AN ANALYSIS FROM STATISTICAL APPROACH

Tsunetada HIROBE

Professor, Department of Economics, Meikai University, 1 Akemi, Urayasu, Chiba 279-8550, Japan

tsune@meikai.ac.jp

Abstract

The paper analyzes the peculiar phenomenon of regional disparities brought by the changes in the geographical distribution of US unemployment rates. Specifically, we investigate the characteristics concerning the gap of that regional distribution especially focusing upon the statistical analysis by mainly an exploratory way.　Reduction in disparities or Expansion in disparities usually involves reducing or increasing the overall level of distribution, and the so-called relative disparity between all states of the U.S. shows an extremely stable transition of distribution within a certain range. This is a mysterious phenomenon that is also shown in any other country in the world. One of the reasons that the regional distribution of unemployment rates becomes stable is derived from the robustness of that geographical distribution; this is one of the reasons that the unemployment rate does not fluctuate significantly. Even if that robustness deteriorates for some reason, then the unemployment rate updates the values of minimum and maximum, or only just the range of variation expands; the relative disparities between regions tend to be offset by increases or decreases in the same direction as a result. Since that range is usually very limited, the gap frequently fluctuates up and down within a confined extent and it does not necessarily converge or diverge to a specific point; it would constantly change within the allowable fluctuation range depending on the socio-economic situation.

Keywords: unemployment rate, regional disparity, convergence, equilibrium, stability

JEL classification: C13, C15, J69, R12, R19

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DETERMINATION OF DEGREE OF THE INFLUENCE OF THE REGIONAL SCIENTIFIC ENVIRONMENT ON THE PERFORMANCE OF SCIENTIFIC ORGANIZATIONS

Anna MALTSEVA

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

80179@list.ru

Igor MONAKHOV

Candidate of historical Sciences, vice-Director of Lurye Scientific and Methodological Center for Higher School Innovative Activity, Tver State University, Tver, Russian Federation

monakhov_i@mail.ru

Igor VESELOV

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

igor.veselov@mail.ru

Aleksandra GRIDCHINA

Professor, Department of Public administration and law, Moscow Polytechnic University, Moscow, Russian Federation

gav70@bk.ru

Yuliya ALEKSAKHINA

Candidate of Economic Sciences, Department of Public administration and law, Moscow Polytechnic University, Moscow, Russian Federation

aleksahina@yandex.ru

Elena GORSHKOVA

Candidate of Economic Sciences, Department of Public administration and law, Moscow Polytechnic University, Moscow, Russian Federation

drug73@gmail.ru

Abstract

The article analyzes the influence of various factors of the regional scientific environment on the performance of scientific organizations. 541 research institutions located on the territory of 65 Russian Federation’ subjects were selected as the study’s object. The study used the statistical data of the Federal Monitoring System of Scientific Organizations (FMSSO), Federal State Statistics Service, the Ministry of Justice and other open sources. The indicators proposed in the methodology of the FMSSO were used as indexes of scientific organizations performance. According the methodology three types of scientific organizations were distinguished – scientific organizations-leaders; stable scientific organizations that demonstrate satisfactory performance; and scientific organizations that have lost their scientific profile and development prospects. Data analysis showed that performance of scientific organizations is greatly influenced by such factors as a set of material, technical and financial conditions of the development of scientific activity.

Keywords: regional scientific environment, scientific organization, factor analysis, performance of scientific activity

JEL classification: R19
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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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