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Sistemoobrazovanie in the insurance of agricultural risks

Bondarenko L.V. PhD, associate professor of management, Volgograd state university ( l.klochkova @ mail.ru )

Sharkevich V.I. PhD, associate professor of management, Volgograd state university ( Shark@mail.ru )

Journal: Regional Economics: Theory and Practice, #35, 2011

The article analyzes factors in sistemoobrazovaniya in insurance of agricultural risks necessary to create a sustainable, self-perpetuating in time the national insurance system. The emphasis is given to the condition that a backbone element should be set no insurance companies, and collection of potential policyholders - rural producers.


Quality of economic growth and structural changes as result and assessment of efficiency of industrial policy

Sharkevich I.V. PhD of Physical and Mathematical Sciences, Head of the Department of Mathematics and Informatics, the Volgograd branch of the Financial University under the Government of the Russian Federation ( igo.shar@yandex.ru )

Zlochevsky I.A. PhD of Economic Sciences, Head of the Department of Economy, the Volgograd branch of the Russian Economic University named after G. V. Plekhanov ( i_zlochevsky@mail.ru )

Journal: Regional Economics: Theory and Practice, #38, 2013

Authors on the basis of actual statistical data investigated interrelations of economic growth and change of intersectoral structure in relation to the volgograd region. the analysis of dynamics of structural changes in intersectoral proportions showed that progressive structural shifts in region economy as a result of pursued branch policy during 1998-2011 it isn't revealed.


The ranking analysis of regional socio-economic systems: An updated approach

Buletova N.E. Russian Presidential Academy of National Economy and Public Administration, Volgograd Branch, Volgograd, Russian Federation ( buletovanata@gmail.com )

Sharkevich I.V. Plekhanov Russian University of Economics, Volgograd Branch, Volgograd, Russian Federation ( igo.shar@yandex.ru )

Journal: Economic Analysis: Theory and Practice, #10, 2016

Subject The article considers the method of calculating the rank values of a set of objects for quantitative measurement of their performance as compared with each other.
Objectives The study aims to develop an improved method of ranking and interpretation of obtained results, which would take into account the degree of non-linearity of differences between the compared objects, and this difference would be measured by appropriate effective rank.
Methods Based on traditional methods of statistical and economic-mathematical analysis (correlation and regression, variation, graphic), we present the main stages and results of the analysis of effective ranking of subjects of the Russian Federation.
Results Testing the developed method of rank analysis on the case of innovative activity showed a positive result. If included in monitoring and strategic audit of results of territories development, the method will enable to have reliable assessment of comparative situation in regions and efficient management decisions on social and economic development of territories.
Conclusions and Relevance The main advantage of the proposed method is elimination of a formal approach to ranking and a possibility to rank situations in regions, taking into account the degree of difference (non-linearity) of socio-economic characteristics of development.


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