+7 925 966 4690, 9am6pm (GMT+3), Monday – Friday
ИД «Финансы и кредит»

JOURNALS

  

FOR AUTHORS

  

SUBSCRIBE

    
Regional Economics: Theory and Practice
 

Modeling the spatial distribution of economic resources when establishing industrial fishing corporations

Vol. 12, Iss. 43, NOVEMBER 2014

Available online: 20 November 2014

Subject Heading: Region development strategy

JEL Classification: 

Pages: 13-19

Khrapov V.E. Institute for Economic Problems n.a. G.P. Luzin, Kola Scientific Centre of RAS, Apatity, Murmansk Region, Russian Federation
khrapov00@mail.ru

Ivanov T.N. Murmansk Academy of Economics and Management, Murmansk, Russian Federation
timuriwanow@gmail.com

Importance Due to unfavorable investment conditions in the country, growing capital outflows and the national economy growth slowdown, the regional economic policy should rest on more accurate methods of identifying the most promising industrial complexes, which provide the greatest multiplicative effect for territorial development. The article considers the issues of developing the methods of quantitative measurement of spatial distribution of resources under the influence of an industrial complex functioning (on the case of a fishing complex of the seaside region).
     Objectives The goal of the authors was to elaborate methods of quantitative evaluation of a fishing complex influence on spatial distribution of resources in the regional economy.
     Methods Using the methods of economic-mathematical modeling, the authors analyzed the interaction of a fishing complex with related industries. In the course of the study, the authors applied the methodology of simulation modeling of economic processes and the methodology of structural analysis and design. The result of the study is a simulation model of operations of a fishing complex, which demonstrates quantitative relationship between the fishing industry and related industries. To develop the model, the authors have chosen the Simulink development environment on the basis of the Matlab platform as it has the highest degree of visual programming principle realization.
     Results The authors concluded that a fishing industry complex creates a significant aggregate demand for businesses operating in related industries. This result is important for identifying the most promising sectors in terms of regional growth.
     Conclusions and Relevance However, the model has a number of shortcomings and needs further elaboration.

Keywords: simulation modeling, fishing complex, growth pole, structural analysis, methodology, design, functional model

References:

  1. Emel'yanov A.A. Imitatsionnoe modelirovanie ekonomicheskikh protsessov [Simulation modeling of economic processes]. Moscow, Finansy i statistika Publ., 2002, 368 p.
  2. Lukin Yu.F. Velikii peredel Arktiki: monografiya [Great repartition of the Arctic region: a monograph]. Arkhangelsk, Northern (Arctic) Federal University named after M.V. Lomonosov Publ., 2010, 400 p.
  3. Mukhina L.B. Informatizatsiya rybnoi otrasli [Informatization of the fishing industry]. Rybnoe khozyaistvo – Fishery, 2004, no. 6, pp. 22–25.
  4. Romanov A.N. Informatsionnye sistemy v ekonomike [Information systems in the economy]. Moscow, INFRA-M Publ., 2006, 276 p.
  5. Romanov E.A. Ekonomika rybokhozyaistvennogo kompleksa [Economy of a fishery complex]. Moscow, Mir Publ., 2005, 336 p.
  6. Savel'ev Yu.V. Upravlenie konkurentosposobnost'yu regiona: ot teorii k praktike [Managing the competitiveness of a region: from theory to practice]. Petrozavodsk, Karelian Scientific Center of RAS Publ., 2010, 516 p.
  7. Savel'eva S.B. Regional'nyi morekhozyaistvennyi kompleks v Evropeiskoi Arktike: metodologiya organizatsii i strategiya razvitiya [A regional fishing complex in the European Arctic: the methodology of organization and development strategy]. St. Petersburg, Saint Petersburg State University of Economics Publ., 2006, 79 p.
  8. Forrester J. Mirovaya dinamika [World Dynamics]. Moscow, AST Publ., 2003, 379 p.
  9. Tsisar' I.F., Krykin M.A. Matlab_Simulink. Laboratoriya ekonomista [Matlab_Simulink. Laboratory of the economist]. Moscow, Ankil Publ., 2001, 104 p.
  10. Shennon R. Imitatsionnoe modelirovanie system [Simulation modeling of systems]. Moscow, Mir Publ., 1978, 414 p.

View all articles of issue

 

ISSN 2311-8733 (Online)
ISSN 2073-1477 (Print)

Journal current issue

Vol. 22, Iss. 3
March 2024

Archive