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

V. Makarov, A. Bakhtizin and E. Sushko
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V. Makarov: Central Economics and Mathematics Institute of the Russian Academy of Sciences, Moscow, Russia
A. Bakhtizin: Central Economics and Mathematics Institute of the Russian Academy of Sciences, Moscow, Russia
E. Sushko: Central Economics and Mathematics Institute of the Russian Academy of Sciences, Moscow, Russia

Journal of the New Economic Association, 2020, vol. 45, issue 1, 151-171

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.

Keywords: agent-based modeling; pollution control; ecological economics; incentivebased regulation; market-based instrument; bubble principle (search for similar items in EconPapers)
JEL-codes: C63 Q52 Q53 Q58 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:nea:journl:y:2020:i:45:p:151-171

DOI: 10.31737/2221-2264-2020-45-1-6

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