An Agent-Based Model of Eurasia and Simulation of Consequences of Large Infrastructure Projects

Authors

DOI:

https://doi.org/10.17059/2018-4-4

Keywords:

digital simulation of systems, agent-based modelling, artificial society, demography, types of population reproduction, international migration, labour migration, analysis of migration processes in Eurasia, the impact of large infrastructure projects on population migration, software, a study of an object behaviour based on its digital model

Abstract

The implementation of large infrastructure projects has a significant impact on the spatial location of production and change of trade flows. It causes the changes in migration flows and influences the socio-economic development of territories involved in the project. Preliminary assessment of the consequences of the implementation of similar projects requires the use of models. One of the modern directions of simulating is the agent-based approach. It allows to recreate a structure and behaviour of real socioeconomic systems in an artificial environment and to imitate their behaviour if external conditions change. The realism of the simulation of the main socio-economic processes determines the success of pursuing agent-based models to meet the challenges of forecasting. The article describes the construction of the agent-based model of the countries of Eurasia, imitating the basic processes of population movement in these countries, as well as the consequences of implementing large infrastructure projects as a result of the actions of many independent agents. There are two types of agents in the model: a) countries that are capable of lobbying for the implementation of profitable projects, and b) people who live in these countries, who create families, give birth to children and choose the type of activity and place of residence. In agents behaviour’s algorithm, we consider factors, revealed as a result of the research of actual migration processes in the countries of Eurasia. This has allowed to recreate in the model the imitation of people’s behaviour close to reality. The model construction was tested for two routes of New Silk Road. During the experiments, we monitored the changes of economic and demographic indicators for each participating country. Thus, for Russia the growth of total trade turnover (9.6 %) and net export (1.5 %) was observed. Participation in the project gave to China the growth 3.8 % and 7.7 %, respectively. The small countries (Georgia, Bulgaria) showed the reduction of migration outflow and improvement of age structure of the population. The model can be used for preliminary assessment of the consequences of the large infrastructure projects implementation.

Author Biographies

Valery Leonidovich Makarov, Central Economic Mathematical Institute of RAS

Doctor of Physics and Mathematics, Member of RAS, Professor, Academic Advisor, Central Economic Mathematical Institute of RAS; Scopus Author ID: 56470269300; https://orcid.org/0000-0002-2802-2100; Researcher ID: I-9022–2016 (47, Nakhimovsky Ave., Moscow, 117418, Russian Federation; e-mail: makarov@cemi.rssi.ru).

Albert Raufovich Bakhtizin, Central Economic Mathematical Institute of RAS

Doctor of Economics, Corresponding Member of RAS, Professor, Head of the Central Economic Mathematical Institute of RAS; Scopus Author ID: 55909941500; https://orcid.org/0000-0002-9649-0168; Researcher ID: S-6203–2016 (47, Nakhimovsky Ave., Moscow, 117418, Russian Federation; e-mail: albert.bakhtizin@gmail.com).

Elena Davidovna Sushko, Central Economic Mathematical Institute of RAS

PhD in Economics, Leading Research Associate, Central Economic Mathematical Institute of RAS; Scopus Author ID 35111795700; https://orcid.org/0000-0003-3565-5210; Researcher ID: E-4911–2015 (47, Nakhimovsky Ave., Moscow, 117418, Russian Federation; e-mail: sushko_e@mail.ru).

Alina Fagimovna Ageeva, Central Economic Mathematical Institute of RAS

PhD in Architecture, Leading Engineer, Central Economic Mathematical Institute of RAS; Scopus Author ID: 57194599986; https://orcid.org/0000-0003-4902-1489; Researcher ID: S-6016–2017 (47, Nakhimovsky Ave., Moscow, 117418, Russian Federation; e-mail: ageevaalina@yandex.ru).

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Published

03.12.2018

How to Cite

Makarov, V. L., Bakhtizin, A. R., Sushko, E. D., & Ageeva, A. F. (2018). An Agent-Based Model of Eurasia and Simulation of Consequences of Large Infrastructure Projects. Economy of Regions, 14(4), 1102–1116. https://doi.org/10.17059/2018-4-4

Issue

Section

Research articles