Posts Tagged ‘O52’

ASSESSMENT OF INNOVATIVE POTENTIAL AS A CRITERION FOR EVOLUTION OF THE MESOECONOMIC SYSTEM

Olga MYZROVA

D.Sc. in Economics, Professor; Department of Economic Security and Innovation Development, Yuri Gagarin State Technical University of Saratov, Saratov, Russia

myzrova.stus@bk.ru

Larisa SERDYUKOVA

D.Sc. in Economics, Professor; Department of Economic Security and Innovation Development, Yuri Gagarin State Technical University of Saratov, Saratov, Russia

serdyukova.stus@ro.ru

Elena LABAZNOVA

Ph.D. in Economics, Associate Professor; Director of Institute of Social and Production Management, Yuri Gagarin State Technical University of Saratov, Saratov, Russia

labaznova.stus@ro.ru

Abstract

Under current conditions of economic development a constant and timely research into the ongoing internal and external changes, affecting the accumulation of innovative potential, as well as degree of its utilization, will speed up the processes connected with upgrading competitive advantages and economic growth rate. The aim of the work is offer methodological tools employed to estimate the innovative potential of the mesoeconomic system as a criterion which ensures development in a given direction. The results of research proved that the ability and determination to develop innovative activity is determined by the accumulated aggregate potential of the mesoeconomic system as a whole, which can be estimated across the sections including infrastructure and legal regulations, innovation and production, education and research, as well as finance and investment. The results of research were tested based on the analysis of innovation potential of Saratov region as a mesoeconomic system.

Keywords: Innovation potential, infrastructure and law, production and innovation, scientific and educational, investment and finance

JEL classification: O10, O52

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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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CHARACTERIZATION OF AGRICULTURAL SYSTEMS IN THE EUROPEAN UNION REGIONS: A FARM DIMENSION- COMPETITIVENESS-TECHNOLOGY INDEX AS BASE

Vítor João Pereira Domingues MARTINHO

Coordinator Professor with Aggregation, Agricultural School, Polytechnic Institute of Viseu, 3500 Viseu, Portugal

vdmartinho@esav.ipv.pt

Abstract

The agricultural realities across the several regions belonging to the European Union (EU) present some significant differences, in terms of the socioeconomics, cultural, structural and environmental dimensions. In general, because it is difficult to consider all the realities, within each country, sometimes the public decision makers, in Europe, need to design common approaches for all countries and regions, despite there being some decentralization of decisions. In this scenario, this study aims to identify and characterize the main agricultural systems in the European Union, using statistical information available in the FADN (2017), for the periods 2007-2009 and 2012-2013. This was done, considering the utilized agricultural area (farm dimension), the machinery (farm technology and innovation) and the farm net value added (farm competitiveness) as principal indicators. From these variables the European Union countries and regions were grouped into agricultural systems through cluster approaches and based on a farm dimension-competitiveness-technology index obtained with factor analysis. This approach was complemented by spatial analysis, through the observation of spatial autocorrelation between European Union countries, as determining the farming characteristics in neighboring countries. Of stressing, the relevant differences in the farm characteristics, not only, among European countries, but also, inside each member state between regions. On the other hand, of highlighting the adequacy of the index considered as representative of the farming particularities.

Keywords: European Union regions, Farm Accountancy Data Network (FADN), Spatial approaches, Factor and clusters analysis

JEL classification: C21, C38, O13, O52, Q10
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