IDEAS home Printed from https://ideas.repec.org/a/ers/ijebaa/vviiy2019i3p151-166.html
   My bibliography  Save this article

Modelling the Efficiency of the Use of Production and Investment Resources at the Regional Level: The Case of Russia

Author

Listed:
  • Gayane L. Beklaryan
  • Andranik S. Akopov

Abstract

Purpose: The aim of this article is to examine the efficiency of the use of production and investment resources at the regional level in the Russian Federation. Design/Methodology/Approach: The important feature of the suggested approach is to take into account the average (normative) return of sectoral resources by computing the efficiency scores of regions. Methods of agent-based modelling (ABM) were applied in the investigation using the ‘gravity effects’ that described the behaviour of agent-enterprises. Moreover, agent-investors regarding agent-regions are considered. Findings: The key findings are: (1) There is a significant inequality and a gap between the leading regions of Russia (such as Moscow, Moscow Oblast and Saint Petersburg) and other regions. At the same time, many non-leading regions are more stable and attractive; (2) A complex classification of Russian regions based on solving four tasks, namely the ‘ratio of production to labour’, ‘ratio of production to assets’, ‘ratio of investments to labour’ and ‘ratio of investments to assets’ is an effective approach to estimate region states; (3) In the leading regions e.g., Moscow, has decreasing efficiency scores after 2014, which is probably due to the large influence of crisis phenomena on the largest Russian agglomerations in comparison with other regions; (4) The ‘gravity model’ explains the behaviour of economic agents and allows forecasting the number of regional enterprises and investors. Practical implications: The developed method can be practically applied for other countries with non-homogeneous regional economies. Originality/Value: For the first time the dynamical model of the efficiency of the use of production and investment resources at the regional level of Russia is suggested. Such model allows examining regional changes.

Suggested Citation

  • Gayane L. Beklaryan & Andranik S. Akopov, 2019. "Modelling the Efficiency of the Use of Production and Investment Resources at the Regional Level: The Case of Russia," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(3), pages 151-166.
    • Handle: RePEc:ers:ijebaa:v:vii:y:2019:i:3:p:151-166
    as

    Download full text from publisher

    File URL: https://www.ijeba.com/journal/315/download
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Michael Porter, 2003. "The Economic Performance of Regions," Regional Studies, Taylor & Francis Journals, vol. 37(6-7), pages 549-578.
    2. repec:ers:journl:v:volumexxi:y:2018:i:issue4:p:208-221 is not listed on IDEAS
    3. Tesfatsion, Leigh S., 2002. "Agent-Based Computational Economics: Growing Economies from the Bottom Up," Staff General Research Papers Archive 5075, Iowa State University, Department of Economics.
    4. Baindur, Deepak & Viegas, José Manuel, 2011. "An agent based model concept for assessing modal share in inter-regional freight transport markets," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1093-1105.
    5. O.Y. Voronkova & А.M. Zadimidcenko & L.V. Goloshchapova & A.G. Polyakova & S.G. Kamolov & E.M. Akhmetshin, 2018. "Economic and Mathematical Modeling of Regional Industrial Processes," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 268-279.
    6. Mark D. Partridge & Dan S. Rickman, 1998. "Regional Computable General Equilibrium Modeling: A Survey and Critical Appraisal," International Regional Science Review, , vol. 21(3), pages 205-248, December.
    7. A.B. Zelinskaya & L.L. Bogomolova & E.I. Kushnikov, 2018. "Problems of Innovative Development of the Northern Territories of Russia," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 600-610.
    8. Akopov, Andranik S. & Beklaryan, Levon A. & Saghatelyan, Armen K., 2017. "Agent-based modelling for ecological economics: A case study of the Republic of Armenia," Ecological Modelling, Elsevier, vol. 346(C), pages 99-118.
    9. Ron Boschma & Simona Iammarino & Raffaele Paci & Jordy Suriñach & Raul Ramos & Jordi Suriñach, 2017. "A Gravity Model of Migration Between the ENC and the EU," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 108(1), pages 21-35, February.
    10. I.S. Zinovyeva & E.A. Kolesnichenko & A.V. Yakovlev, 2016. "Zoning of Territory on the Basis of Modeling of Efficiency of Forest Resources Use in Russian Regions’ Economy," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 239-250.
    11. Martin Beraja & Andreas Fuster & Erik Hurst & Joseph Vavra, 2019. "Regional Heterogeneity and the Refinancing Channel of Monetary Policy," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(1), pages 109-183.
    12. Mikhail Yakovlevich Veselovsky & Mikhail Sergeyevich Abrashkin & Dmitry Stanislavovich Vakhrushev & Lyudmila Borisovna Parfenova & Andrey Yuryevich Volkov, 2017. "Knowledge-Based Engineering as a Driver of Economic Development of the Regions of Russia," European Research Studies Journal, European Research Studies Journal, vol. 0(2B), pages 66-85.
    13. Berger, Thomas, 2001. "Agent-based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis," Agricultural Economics, Blackwell, vol. 25(2-3), pages 245-260, September.
    14. J. Doyne Farmer & Duncan Foley, 2009. "The economy needs agent-based modelling," Nature, Nature, vol. 460(7256), pages 685-686, August.
    15. K.A. Miloradov & T.S. Romanishina & A.A. Kovalenko & N.G. Bondarenko & J.V. Andrianova, 2018. "An Efficient Strategy for the Development of Tourism at Regional Level," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 208-221.
    16. repec:ers:journl:v:volumexxi:y:2018:i:issue4:p:600-610 is not listed on IDEAS
    17. O.V. Berezhnaya & E.V. Berezhnaya & K.S. Chikaeva & M.A. Polivina & V.I. Berezhnoy, 2018. "Opportunities for Assessing the Implementation of the Strategies for the Development of Russia's Macroregions," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 551-563.
    18. Anderson, James E, 1979. "A Theoretical Foundation for the Gravity Equation," American Economic Review, American Economic Association, vol. 69(1), pages 106-116, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rianne Duinen & Tatiana Filatova & Wander Jager & Anne Veen, 2016. "Going beyond perfect rationality: drought risk, economic choices and the influence of social networks," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 57(2), pages 335-369, November.
    2. Макаров В.Л.i & * & Бахтизин А.Р.i & Бекларян Г.Л.i & Акопов А.С.i & Ровенская Е.А.ii & ** & Стрелковский Н.Вii., 2019. "Укрупненная Агент-Ориентированная Имитационная Модель Миграционных Потоков Стран Европейского Союза," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 55(1), pages 3-15, январь.
    3. Torsten Trimborn & Philipp Otte & Simon Cramer & Maximilian Beikirch & Emma Pabich & Martin Frank, 2020. "SABCEMM: A Simulator for Agent-Based Computational Economic Market Models," Computational Economics, Springer;Society for Computational Economics, vol. 55(2), pages 707-744, February.
    4. Carlos M. Fernández-Márquez & Matías Fuentes & Juan José Martínez & Francisco J. Vázquez, 2021. "Productivity and unemployment: an ABM approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 133-151, January.
    5. Maximilian Beikirch & Simon Cramer & Martin Frank & Philipp Otte & Emma Pabich & Torsten Trimborn, 2018. "Simulation of Stylized Facts in Agent-Based Computational Economic Market Models," Papers 1812.02726, arXiv.org, revised Nov 2019.
    6. Mitja Steinbacher & Timotej Jagrič, 2020. "Interbank rules during economic declines: Can banks safeguard capital base?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(2), pages 471-499, April.
    7. Nachiket Bhawe & Shaker A. Zahra & Chen Chao & Garry D. Bruton, 2021. "Protectionist policies and diversity of entrepreneurial types," Small Business Economics, Springer, vol. 56(2), pages 789-807, February.
    8. Fraser J. Morgan & Philip Brown & Adam J. Daigneault, 2015. "Simulation vs. Definition: Differing Approaches to Setting Probabilities for Agent Behaviour," Land, MDPI, vol. 4(4), pages 1-24, September.
    9. Simon Cramer & Torsten Trimborn, 2019. "Stylized Facts and Agent-Based Modeling," Papers 1912.02684, arXiv.org.
    10. Gualdi, Stanislao & Tarzia, Marco & Zamponi, Francesco & Bouchaud, Jean-Philippe, 2015. "Tipping points in macroeconomic agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 29-61.
    11. James Paulin & Anisoara Calinescu & Michael Wooldridge, 2018. "Understanding Flash Crash Contagion and Systemic Risk: A Micro-Macro Agent-Based Approach," Papers 1805.08454, arXiv.org.
    12. Dinçer, Gönül, 2014. "Turkey’s Rising Imports from BRICS: A Gravity Model Approach," MPRA Paper 61979, University Library of Munich, Germany.
    13. Hossein Sabzian & Mohammad Ali Shafia & Mehdi Ghazanfari & Ali Bonyadi Naeini, 2020. "Modeling the Adoption and Diffusion of Mobile Telecommunications Technologies in Iran: A Computational Approach Based on Agent-Based Modeling and Social Network Theory," Sustainability, MDPI, vol. 12(7), pages 1-36, April.
    14. Matteo Coronese & Martina Occelli & Francesco Lamperti & Andrea Roventini, 2024. "Towards sustainable agriculture: behaviors, spatial dynamics and policy in an evolutionary agent-based model," LEM Papers Series 2024/05, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    15. Dimitri Gagliardi & Francesco Niglia & Cinzia Battistella, 2012. "Use of multi-level self-regulating agents to evaluate the impact of innovation policy for the agro-food sector in the Region of Puglia, Italy," Openloc Working Papers 1205, Public policies and local development.
    16. Atakelty Hailu & Steven Schilizzi, 2004. "Are Auctions More Efficient Than Fixed Price Schemes When Bidders Learn?," Australian Journal of Management, Australian School of Business, vol. 29(2), pages 147-168, December.
    17. Paulin, James & Calinescu, Anisoara & Wooldridge, Michael, 2019. "Understanding flash crash contagion and systemic risk: A micro–macro agent-based approach," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 200-229.
    18. M.P. Loginov & E.E. Noeva & G.A. Volkovitckaia & A.A. Murinovich & A.I. Serebrennikova, 2018. "Competitiveness-based Typology of the Russian Regions," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 787-796.
    19. Tian, Qing & Holland, John H. & Brown, Daniel G., 2016. "Social and economic impacts of subsidy policies on rural development in the Poyang Lake Region, China: Insights from an agent-based model," Agricultural Systems, Elsevier, vol. 148(C), pages 12-27.
    20. Georg Jäger & Laura S. Zilian & Christian Hofer & Manfred Füllsack, 2019. "Crowdworking: working with or against the crowd?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(4), pages 761-788, December.

    More about this item

    Keywords

    Production and investment policy; regional economics; agent-based modelling.;
    All these keywords.

    JEL classification:

    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ers:ijebaa:v:vii:y:2019:i:3:p:151-166. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Marios Agiomavritis (email available below). General contact details of provider: https://ijeba.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.