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Spatial Aspects of Agent-Based Modeling of Large Economy


  • Larisa Melnikova


  • Victor Suslov
  • Alexander Tsyplakov
  • Naimdjon Ibragimov
  • Dmitry Domozhirov
  • Vitaly Kostin


The paper presents a pilot version of spatial agent-based model simulating the national economy of Russia. The model is supposed to be used for evaluation the effects of industrial and spatial policies. The object of modeling is multi-regional economic space of Russia in its interaction with foreign market. The space is physical; locations of agents are defined by geographical coordinates. The basic hypothesis is that decisions of agents on microeconomic level lead to spatial changes on macroeconomic level. We consider Arrow-Debreu model with Leontief technologies as a microeconomic prototype of our model. Theoretical construction of the model, referred to models of stochastically converging equilibrium. The basic features of the model presented are the following. We explicitly account for space, consideringr interactions between trading agents located in physical space. Moreover, the model is compatible and exchanges information with an existent multiregional input-output model that uses the identical. There are agents of the following types: firms, households, commodity markets, labour market and foreign markets. Agents take decisions on the base of microeconomic models under bounded rationality with the account of transportation costs. Geographical pattern of the model is referred to the stylized map of Russia. Distance is measured as a length of the shortest arc between 2 points on the Earth with their coordinates of longitude and latitude. Initialization of the model uses some elements of geo-informational approach as well as informational exchange with multiregional input-output model. Agents are located on the map on the base of geographical coordinates of cities, real data on demography and statistical performance of economic activities. . Statistical performance is collected mostly across macro-regions and activities and is visualized by graphs. The model is realized on ?Lua? programming language. Spatial pattern of interactions among agents is created by two-part transport tariff: the first part is proportional to the amount of commodities and the second part is proportional to the distance between 2 agents and to the amount of deliveries. In the report we illustrate the algorithm of trade between households with the account of transportation costs. The geographic structure of commodity flows is analyzed. The report also presents some results of the experiments accomplished. We studied the influence of transportation costs on the convergence of prices to the state of quasi-equilibrium. Experiments demonstrated that the Law of One-Price is not observed. Prices converge to clusters within regions, which reflect the impact of differences in industrial pattern of regions. The prospects of future development of the model are discussed.

Suggested Citation

  • Larisa Melnikova & Victor Suslov & Alexander Tsyplakov & Naimdjon Ibragimov & Dmitry Domozhirov & Vitaly Kostin, 2015. "Spatial Aspects of Agent-Based Modeling of Large Economy," ERSA conference papers ersa15p603, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa15p603

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    References listed on IDEAS

    1. David Katrencik & Joanna Tyrowicz & Piotr Wójcik, 2008. "Unemployment Convergence in Transition," Working Papers 2008-07, Faculty of Economic Sciences, University of Warsaw.
    2. Olivier Jean Blanchard & Lawrence F. Katz, 1992. "Regional Evolutions," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 23(1), pages 1-76.
    3. Peter Huber, 2007. "Regional Labour Market Developments in Transition: A Survey of the Empirical Literature," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 4(2), pages 263-298, September.
    4. Maria Kazakova & Sinelnikov-Murylev Sergey & Kadochnikov Pavel, 2009. "Analysis of Structural and Business Component of the Tax Burden in Russian Economy," Research Paper Series, Gaidar Institute for Economic Policy, issue 129P.
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    More about this item


    Spatial agent-based model; multi-industrial economy; transportation costs;

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models

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