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Agent-based model as a tool for controlling environment of the region

Author

Listed:
  • Makarov, V.

    (Central Economics and Mathematics Institute of the Russian Academy of Sciences, Moscow, Russia)

  • Bakhtizin, A.

    (Central Economics and Mathematics Institute of the Russian Academy of Sciences, Moscow, Russia)

  • Sushko, E.

    (Central Economics and Mathematics Institute of the Russian Academy of Sciences, Moscow, Russia)

Abstract

To create an integrated environmental management system that encourages economic actors to reduce emissions of pollutants into the environment, it is necessary to use tools for preliminary assessment of the effects of the implementation of planned measures. One of such tools can be an agent-based regional socioecological- economic model. In the design of the model developed by the authors, there are populations of human agents and agent enterprises. Each human agent participates in demographic processes and contributes to the production activities of agent enterprises. And each agent-company, except for products, also produces emissions into the atmosphere and water bodies. All types of pollution have a cumulative impact on the ecology of the region, which affects the health and mortality rates of human agents. Agents can reduce their emissions through actions available to them in response to environmental requirements that are established under various emission control mechanisms. The user of the model in the course of computer experiments can change the parameters of existing mechanisms and create new ones.

Suggested Citation

  • Makarov, V. & Bakhtizin, A. & Sushko, E., 2020. "Agent-based model as a tool for controlling environment of the region," Journal of the New Economic Association, New Economic Association, vol. 45(1), pages 151-171.
    • Handle: RePEc:nea:journl:y:2020:i:45:p:151-171
    DOI: 10.31737/2221-2264-2020-45-1-6
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    References listed on IDEAS

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    1. Mansooreh Kazemilari & Ali Mohamadi & Abbas Mardani & Dalia Streimikiene, 2018. "Network Topology of Renewable Energy Sector in Stock Exchange," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 14(2), pages 167-174.
    2. Sarah Wolf & Franziska Schütze & Carlo C. Jaeger, 2016. "Balance or Synergies between Environment and Economy—A Note on Model Structures," Sustainability, MDPI, vol. 8(8), pages 1-11, August.
    3. 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.
    4. G. Fagiolo & A. Roventini., 2009. "On the Scientific Status of Economic Policy: A Tale of Alternative Paradigms," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 6.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. K. V. Shevchenko, 2022. "Strategic analysis of labour market of the Amur region (data taken form HeadHunter and SuperJob web-platforms)," Russian Journal of Industrial Economics, MISIS, vol. 15(2).

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    More about this item

    Keywords

    agent-based modeling; pollution control; ecological economics; incentivebased regulation; market-based instrument; bubble principle;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • Q52 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Pollution Control Adoption and Costs; Distributional Effects; Employment Effects
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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