Tag: R58

PATTERNS OF SPATIAL DEVELOPMENT: EVIDENCE FROM RUSSIA

Veronika MASLIKHINA

Ph.D. in Economics, Associate Professor of  Department of Management and Law, Volga State University of Technology, Yoshkar-Ola, Russia

Maslikhina_nika@mail.ru

Abstract

The aim of the paper is to analyze the trends of spatial inequality in Russia in 1994-2015 based on the convergence concepts. Russia faced the problem of inter-regional inequality as well as most countries. The situation is aggravated by the external economic and domestic factors in recent years. The fall in energy prices and Western sanctions had a negative impact on the country’s economic development. Russia is compelled to take into account geopolitical interests in the implementation regional policies in some regions (the Far East, the Crimea, the Kaliningrad region, the republics of the North Caucasus, the Arctic). Many regional budgets have budget deficit, highly debt load. They optimize spending on the social sphere and reduce investments in the real economy. Russia is emerging from the crisis despite the difficult situation. A review of the theoretical positions of the four types of convergence concepts (σ-, β-, γ-, ρ-convergence) was made. The spatial inequality evaluation was carried out on the basis of σ-convergence and absolute β-convergence concepts. The Williamson coefficient, the Hoover index, the Theil index and the Atkinson index were used to analyze spatial inequality based on the σ-concept. Differentiation has increased over the analyzed period, but gap decreased after 2005. The  convergence speed  is 1.79% in Russia. Regions with a low initial level of development have higher growth rates than regions with a higher initial level of development

Keywords: spatial inequality, spatial development, β-convergence, σ-convergence, Russia

JEL classification: D63, O52, R1, R58
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TRENDS AND PROSPECTIVE MODELS FOR THE FORMATION OF INNOVATIVE CLUSTERS IN THE RUSSIAN FEDERATION

Nina I. LARIONOVA

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

nina_larionova@mail.ru

Tatyana V. YALYALIEVA

Candidate of Economic Sciences, 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 dynamics of clusterization of the Russian economic space, reveals the main stages and prospects for the generation of the “fourth wave” of clustering. The purpose of this research is to offer a quantitative approach to identify regional clusters and their further parametrization within the framework of an integrated model of clustering the region’s economic space. Particular attention is given to organizational aspects of the clusters of microelectronics and information technologies in the Russian regions. The paper offers models for the organizational development of clusters based on the values of the Herfindahl-Hirschman Index and the concentration coefficients. The result of the analysis shows: successful cluster initiatives combine a developed innovative core, an essential industrial basis and a significant number of small and medium-sized forms of innovative entrepreneurship. Promising for the development of the high-tech industry in the Russian Federation is the conclusion that it is possible to synthesize organizational forms of economic development of forest industrial clusters and existing territorial production complexes in regions. Modeling of the development processes of innovative clusters made it possible to conclude that the state support of cluster policy remains relevant. The findings of the study are of scientific and practical interest in the framework of the problem of improving sectoral and regional clusterization strategies.

Keywords: industrial clusters, innovative multiclusters, cluster policy, regional economy, economic development

JEL classification: O1, R58
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EVALUATION OF ECONOMIC STRUCTURE DEVELOPMENT OF KUPANG CITY, NTT PROVINCE, INDONESIA TO MEET NATIONAL GHG EMISSION TARGET

Adrianus AMHEKA

Associate Professor, State Polytechnic of Kupang, Indonesia, Correspondence details: Dr. Adrianus Amheka, State Polytechnic of Kupang, Jl. Adisucipto PO.BOX 139 Penfui Kupang, NTT, Indonesia

adrianus.amheka@gmail.com

Abstract

Indonesian government through RAN/RAD-GRK program set target to reduce GHG emission between 26%~41% by 2020 based on 2005 emissions under BAU. Study begins by simple identify and evaluate current socio-economic structure condition to achieve Indonesia’s GHG emission reduction target. We assume optimal GHG reduction rate (n) between 0%~20% then investigate its impacts to related sectors. As result, found 0.015Gt is estimated amount of GHG emission in Kupang before optimized (or about 0. 47% of total GHG emission in Indonesia) and 0.012Gt after optimized. The optimal n is around 15%~17% with Kupang GRP (1,656.86~1,371.51) Trillion IDR. The result indicated that Kupang economic cannot attain n more than 17%~20% without any conflict among stakeholders and current gross regional product (GRP) is not optimal to control GHG emission but has a space for making a higher GRP by keeping the same amount of GRP as before optimized. Relation between n and GRP called the trade-off and it is allowed can be raised up by introducing renewable energy technology for future research. In Indonesia, this study becomes the first study dealt with GHG emission reduction in the city level focused on economic activities.

Keywords: Kupang economic, GHG emission, reduction rate

JEL classification: O21, O25, O44, R50, R58

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